id stringlengths 9 10 | submitter stringlengths 1 64 ⌀ | authors stringlengths 4 20.7k | title stringlengths 4 246 | comments stringlengths 1 523 ⌀ | journal-ref stringlengths 4 404 ⌀ | doi stringlengths 11 153 ⌀ | report-no stringlengths 2 254 ⌀ | categories stringlengths 5 98 | license stringclasses 9
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2009.09343 | Yang Mingming | Tinghuai Ma, Mingming Yang, Huan Rong, Yurong Qian, Yurong Qian, Yuan
Tian, NajlaAl-Nabhan | Dual-path CNN with Max Gated block for Text-Based Person
Re-identification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Text-based person re-identification(Re-id) is an important task in video
surveillance, which consists of retrieving the corresponding person's image
given a textual description from a large gallery of images. It is difficult to
directly match visual contents with the textual descriptions due to the
modality heterogen... | [
{
"created": "Sun, 20 Sep 2020 03:33:29 GMT",
"version": "v1"
}
] | 2020-09-22 | [
[
"Ma",
"Tinghuai",
""
],
[
"Yang",
"Mingming",
""
],
[
"Rong",
"Huan",
""
],
[
"Qian",
"Yurong",
""
],
[
"Qian",
"Yurong",
""
],
[
"Tian",
"Yuan",
""
],
[
"NajlaAl-Nabhan",
"",
""
]
] | Text-based person re-identification(Re-id) is an important task in video surveillance, which consists of retrieving the corresponding person's image given a textual description from a large gallery of images. It is difficult to directly match visual contents with the textual descriptions due to the modality heterogenei... |
1910.13539 | Zhipeng Xu | Yidan Zhang, Xiaolong Huang, Zhipeng Xu and Yuefan Deng | A Structured Table of Graphs with Symmetries and Other Special
Properties | add details about automorphism group | null | 10.3390/sym12010002 | Symmetry 2020, 12(1), 2 | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We organize a table of regular graphs with minimal diameters and minimal mean
path lengths, large bisection widths and high degrees of symmetries, obtained
by enumerations on supercomputers. These optimal graphs, many of which are
newly discovered, may find wide applications, for example, in design of network
topolog... | [
{
"created": "Tue, 29 Oct 2019 21:17:38 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Nov 2019 20:39:46 GMT",
"version": "v2"
},
{
"created": "Tue, 5 Nov 2019 21:06:02 GMT",
"version": "v3"
},
{
"created": "Wed, 11 Dec 2019 05:49:23 GMT",
"version": "v4"
}
] | 2019-12-30 | [
[
"Zhang",
"Yidan",
""
],
[
"Huang",
"Xiaolong",
""
],
[
"Xu",
"Zhipeng",
""
],
[
"Deng",
"Yuefan",
""
]
] | We organize a table of regular graphs with minimal diameters and minimal mean path lengths, large bisection widths and high degrees of symmetries, obtained by enumerations on supercomputers. These optimal graphs, many of which are newly discovered, may find wide applications, for example, in design of network topologie... |
1407.0439 | Haixia Liu | Haixia Liu, Raymond H. Chan, and Yuan Yao | Geometric Tight Frame based Stylometry for Art Authentication of van
Gogh Paintings | 14 pages, 13 figures | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper is about authenticating genuine van Gogh paintings from forgeries.
The authentication process depends on two key steps: feature extraction and
outlier detection. In this paper, a geometric tight frame and some simple
statistics of the tight frame coefficients are used to extract features from
the paintings... | [
{
"created": "Wed, 2 Jul 2014 01:55:37 GMT",
"version": "v1"
},
{
"created": "Sat, 13 Sep 2014 00:53:16 GMT",
"version": "v2"
},
{
"created": "Tue, 13 Jan 2015 07:20:12 GMT",
"version": "v3"
}
] | 2015-01-14 | [
[
"Liu",
"Haixia",
""
],
[
"Chan",
"Raymond H.",
""
],
[
"Yao",
"Yuan",
""
]
] | This paper is about authenticating genuine van Gogh paintings from forgeries. The authentication process depends on two key steps: feature extraction and outlier detection. In this paper, a geometric tight frame and some simple statistics of the tight frame coefficients are used to extract features from the paintings. ... |
2207.09915 | Nir Sochen | Nir Sochen | A note on the variation of geometric functionals | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Calculus of Variation combined with Differential Geometry as tools of
modelling and solving problems in image processing and computer vision were
introduced in the late 80's and the 90s of the 20th century. The beginning of
an extensive work in these directions was marked by works such as Geodesic
Active Contours (GA... | [
{
"created": "Wed, 20 Jul 2022 14:02:57 GMT",
"version": "v1"
}
] | 2022-07-21 | [
[
"Sochen",
"Nir",
""
]
] | Calculus of Variation combined with Differential Geometry as tools of modelling and solving problems in image processing and computer vision were introduced in the late 80's and the 90s of the 20th century. The beginning of an extensive work in these directions was marked by works such as Geodesic Active Contours (GAC)... |
2311.02910 | Yang Liu | Gianmarco Ipinze Tutuianu, Yang Liu, Ari Alam\"aki, Janne Kauttonen | Benchmarking Deep Facial Expression Recognition: An Extensive Protocol
with Balanced Dataset in the Wild | * Equal contribution | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Facial expression recognition (FER) is a crucial part of human-computer
interaction. Existing FER methods achieve high accuracy and generalization
based on different open-source deep models and training approaches. However,
the performance of these methods is not always good when encountering practical
settings, whic... | [
{
"created": "Mon, 6 Nov 2023 06:48:49 GMT",
"version": "v1"
}
] | 2023-11-07 | [
[
"Tutuianu",
"Gianmarco Ipinze",
""
],
[
"Liu",
"Yang",
""
],
[
"Alamäki",
"Ari",
""
],
[
"Kauttonen",
"Janne",
""
]
] | Facial expression recognition (FER) is a crucial part of human-computer interaction. Existing FER methods achieve high accuracy and generalization based on different open-source deep models and training approaches. However, the performance of these methods is not always good when encountering practical settings, which ... |
2305.14951 | Jue Liu | Jue Liu | DSFFNet: Dual-Side Feature Fusion Network for 3D Pose Transfer | in Chinese language | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To solve the problem of pose distortion in the forward propagation of pose
features in existing methods, this pa-per proposes a Dual-Side Feature Fusion
Network for pose transfer (DSFFNet). Firstly, a fixed-length pose code is
extracted from the source mesh by a pose encoder and combined with the target
vertices to f... | [
{
"created": "Wed, 24 May 2023 09:42:08 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Oct 2023 08:57:38 GMT",
"version": "v2"
}
] | 2023-10-10 | [
[
"Liu",
"Jue",
""
]
] | To solve the problem of pose distortion in the forward propagation of pose features in existing methods, this pa-per proposes a Dual-Side Feature Fusion Network for pose transfer (DSFFNet). Firstly, a fixed-length pose code is extracted from the source mesh by a pose encoder and combined with the target vertices to for... |
2307.01465 | Yunqing Zhao | Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Chao Du,
Tianyu Pang, Ruoteng Li, Henghui Ding, Ngai-Man Cheung | AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation | 32 pages, update additional information, discussion, and experimental
sections compared to NeurIPS-22 version: arXiv:2210.16559. arXiv admin note:
substantial text overlap with arXiv:2210.16559 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Few-shot image generation (FSIG) aims to learn to generate new and diverse
images given few (e.g., 10) training samples. Recent work has addressed FSIG by
leveraging a GAN pre-trained on a large-scale source domain and adapting it to
the target domain with few target samples. Central to recent FSIG methods are
knowle... | [
{
"created": "Tue, 4 Jul 2023 03:56:43 GMT",
"version": "v1"
},
{
"created": "Sat, 8 Jul 2023 06:24:52 GMT",
"version": "v2"
},
{
"created": "Fri, 10 Nov 2023 13:00:10 GMT",
"version": "v3"
}
] | 2023-11-14 | [
[
"Zhao",
"Yunqing",
""
],
[
"Chandrasegaran",
"Keshigeyan",
""
],
[
"Abdollahzadeh",
"Milad",
""
],
[
"Du",
"Chao",
""
],
[
"Pang",
"Tianyu",
""
],
[
"Li",
"Ruoteng",
""
],
[
"Ding",
"Henghui",
""
],
[
... | Few-shot image generation (FSIG) aims to learn to generate new and diverse images given few (e.g., 10) training samples. Recent work has addressed FSIG by leveraging a GAN pre-trained on a large-scale source domain and adapting it to the target domain with few target samples. Central to recent FSIG methods are knowledg... |
1912.06688 | Joerg Zimmermann | Kristina Enes, Hassan Errami, Moritz Wolter, Tim Krake, Bernhard
Eberhardt, Andreas Weber, J\"org Zimmermann | Unsupervised and Generic Short-Term Anticipation of Human Body Motions | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Various neural network based methods are capable of anticipating human body
motions from data for a short period of time. What these methods lack are the
interpretability and explainability of the network and its results. We propose
to use Dynamic Mode Decomposition with delays to represent and anticipate human
body ... | [
{
"created": "Fri, 13 Dec 2019 20:13:36 GMT",
"version": "v1"
}
] | 2019-12-17 | [
[
"Enes",
"Kristina",
""
],
[
"Errami",
"Hassan",
""
],
[
"Wolter",
"Moritz",
""
],
[
"Krake",
"Tim",
""
],
[
"Eberhardt",
"Bernhard",
""
],
[
"Weber",
"Andreas",
""
],
[
"Zimmermann",
"Jörg",
""
]
] | Various neural network based methods are capable of anticipating human body motions from data for a short period of time. What these methods lack are the interpretability and explainability of the network and its results. We propose to use Dynamic Mode Decomposition with delays to represent and anticipate human body mo... |
1908.11628 | Sagie Benaim | Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf | Domain Intersection and Domain Difference | null | ICCV 2019 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a method for recovering the shared content between two visual
domains as well as the content that is unique to each domain. This allows us to
map from one domain to the other, in a way in which the content that is
specific for the first domain is removed and the content that is specific for
the second is i... | [
{
"created": "Fri, 30 Aug 2019 10:08:43 GMT",
"version": "v1"
}
] | 2019-09-02 | [
[
"Benaim",
"Sagie",
""
],
[
"Khaitov",
"Michael",
""
],
[
"Galanti",
"Tomer",
""
],
[
"Wolf",
"Lior",
""
]
] | We present a method for recovering the shared content between two visual domains as well as the content that is unique to each domain. This allows us to map from one domain to the other, in a way in which the content that is specific for the first domain is removed and the content that is specific for the second is imp... |
2311.17307 | Jiacong Mi | Hua Pu, Jiacong Mi, Shan Lu, Jieyue He | RoKEPG: RoBERTa and Knowledge Enhancement for Prescription Generation of
Traditional Chinese Medicine | 8 pages | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Traditional Chinese medicine (TCM) prescription is the most critical form of
TCM treatment, and uncovering the complex nonlinear relationship between
symptoms and TCM is of great significance for clinical practice and assisting
physicians in diagnosis and treatment. Although there have been some studies on
TCM prescr... | [
{
"created": "Wed, 29 Nov 2023 01:59:38 GMT",
"version": "v1"
}
] | 2023-11-30 | [
[
"Pu",
"Hua",
""
],
[
"Mi",
"Jiacong",
""
],
[
"Lu",
"Shan",
""
],
[
"He",
"Jieyue",
""
]
] | Traditional Chinese medicine (TCM) prescription is the most critical form of TCM treatment, and uncovering the complex nonlinear relationship between symptoms and TCM is of great significance for clinical practice and assisting physicians in diagnosis and treatment. Although there have been some studies on TCM prescrip... |
2007.08377 | Simon Bernard | Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte | Random Forest for Dissimilarity-based Multi-view Learning | Published in Handbook of Pattern Recognition and Computer Vision,
2020 (preprint) | null | 10.1142/9789811211072_0007 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many classification problems are naturally multi-view in the sense their data
are described through multiple heterogeneous descriptions. For such tasks,
dissimilarity strategies are effective ways to make the different descriptions
comparable and to easily merge them, by (i) building intermediate dissimilarity
repres... | [
{
"created": "Thu, 16 Jul 2020 14:52:52 GMT",
"version": "v1"
}
] | 2020-07-17 | [
[
"Bernard",
"Simon",
""
],
[
"Cao",
"Hongliu",
""
],
[
"Sabourin",
"Robert",
""
],
[
"Heutte",
"Laurent",
""
]
] | Many classification problems are naturally multi-view in the sense their data are described through multiple heterogeneous descriptions. For such tasks, dissimilarity strategies are effective ways to make the different descriptions comparable and to easily merge them, by (i) building intermediate dissimilarity represen... |
2403.10123 | Yuanhang Zhang | Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche | Regularization-Based Efficient Continual Learning in Deep State-Space
Models | 7 pages, 14 figures | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep state-space models (DSSMs) have gained popularity in recent years due to
their potent modeling capacity for dynamic systems. However, existing DSSM
works are limited to single-task modeling, which requires retraining with
historical task data upon revisiting a forepassed task. To address this
limitation, we prop... | [
{
"created": "Fri, 15 Mar 2024 09:14:18 GMT",
"version": "v1"
},
{
"created": "Sat, 29 Jun 2024 23:01:10 GMT",
"version": "v2"
}
] | 2024-07-02 | [
[
"Zhang",
"Yuanhang",
""
],
[
"Lin",
"Zhidi",
""
],
[
"Sun",
"Yiyong",
""
],
[
"Yin",
"Feng",
""
],
[
"Fritsche",
"Carsten",
""
]
] | Deep state-space models (DSSMs) have gained popularity in recent years due to their potent modeling capacity for dynamic systems. However, existing DSSM works are limited to single-task modeling, which requires retraining with historical task data upon revisiting a forepassed task. To address this limitation, we propos... |
2401.05126 | Teru Nagamori | Teru Nagamori, Sayaka Shiota, Hitoshi Kiya | Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving
Vision Transformer | Accepted by APSIPA Transactions on Signal and Information Processing.
arXiv admin note: substantial text overlap with arXiv:2309.02556 | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | We propose a novel method for privacy-preserving deep neural networks (DNNs)
with the Vision Transformer (ViT). The method allows us not only to train
models and test with visually protected images but to also avoid the
performance degradation caused from the use of encrypted images, whereas
conventional methods cann... | [
{
"created": "Wed, 10 Jan 2024 12:46:31 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Feb 2024 09:55:46 GMT",
"version": "v2"
}
] | 2024-02-12 | [
[
"Nagamori",
"Teru",
""
],
[
"Shiota",
"Sayaka",
""
],
[
"Kiya",
"Hitoshi",
""
]
] | We propose a novel method for privacy-preserving deep neural networks (DNNs) with the Vision Transformer (ViT). The method allows us not only to train models and test with visually protected images but to also avoid the performance degradation caused from the use of encrypted images, whereas conventional methods cannot... |
2211.09855 | Yining Lu | Yining Lu, Jingxi Qiu, Gaurav Gupta | ProtSi: Prototypical Siamese Network with Data Augmentation for Few-Shot
Subjective Answer Evaluation | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Subjective answer evaluation is a time-consuming and tedious task, and the
quality of the evaluation is heavily influenced by a variety of subjective
personal characteristics. Instead, machine evaluation can effectively assist
educators in saving time while also ensuring that evaluations are fair and
realistic. Howev... | [
{
"created": "Thu, 17 Nov 2022 19:33:35 GMT",
"version": "v1"
}
] | 2022-11-21 | [
[
"Lu",
"Yining",
""
],
[
"Qiu",
"Jingxi",
""
],
[
"Gupta",
"Gaurav",
""
]
] | Subjective answer evaluation is a time-consuming and tedious task, and the quality of the evaluation is heavily influenced by a variety of subjective personal characteristics. Instead, machine evaluation can effectively assist educators in saving time while also ensuring that evaluations are fair and realistic. However... |
2107.07452 | G C Nandi | Priya Shukla, Nilotpal Pramanik, Deepesh Mehta and G.C. Nandi | GI-NNet \& RGI-NNet: Development of Robotic Grasp Pose Models, Trainable
with Large as well as Limited Labelled Training Datasets, under supervised
and semi supervised paradigms | null | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Our way of grasping objects is challenging for efficient, intelligent and
optimal grasp by COBOTs. To streamline the process, here we use deep learning
techniques to help robots learn to generate and execute appropriate grasps
quickly. We developed a Generative Inception Neural Network (GI-NNet) model,
capable of gen... | [
{
"created": "Thu, 15 Jul 2021 16:55:49 GMT",
"version": "v1"
}
] | 2021-07-16 | [
[
"Shukla",
"Priya",
""
],
[
"Pramanik",
"Nilotpal",
""
],
[
"Mehta",
"Deepesh",
""
],
[
"Nandi",
"G. C.",
""
]
] | Our way of grasping objects is challenging for efficient, intelligent and optimal grasp by COBOTs. To streamline the process, here we use deep learning techniques to help robots learn to generate and execute appropriate grasps quickly. We developed a Generative Inception Neural Network (GI-NNet) model, capable of gener... |
1610.06084 | Suresh Damodaran | Suresh K. Damodaran and Pedro A. Colon-Hernandez | Portable Ontological Expressions in NoSQL Queries | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A significant barrier to the portability of queries across di- verse physical
implementations of large data stores, espe- cially NoSQL data stores, is that
the queries reference the physical storage attributes, such as the table and
column names. In this paper, we describe a technique for embed- ding
ontological expr... | [
{
"created": "Wed, 19 Oct 2016 16:07:30 GMT",
"version": "v1"
}
] | 2016-10-20 | [
[
"Damodaran",
"Suresh K.",
""
],
[
"Colon-Hernandez",
"Pedro A.",
""
]
] | A significant barrier to the portability of queries across di- verse physical implementations of large data stores, espe- cially NoSQL data stores, is that the queries reference the physical storage attributes, such as the table and column names. In this paper, we describe a technique for embed- ding ontological expres... |
1608.08435 | Rajasekar Venkatesan | Rajasekar Venkatesan, Meng Joo Er | Multi-Label Classification Method Based on Extreme Learning Machines | 6 pages, 7 figures, 7 tables, ICARCV | null | 10.1109/ICARCV.2014.7064375 | null | cs.LG cs.AI cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, an Extreme Learning Machine (ELM) based technique for
Multi-label classification problems is proposed and discussed. In multi-label
classification, each of the input data samples belongs to one or more than one
class labels. The traditional binary and multi-class classification problems
are the subset ... | [
{
"created": "Tue, 30 Aug 2016 13:08:06 GMT",
"version": "v1"
}
] | 2016-09-06 | [
[
"Venkatesan",
"Rajasekar",
""
],
[
"Er",
"Meng Joo",
""
]
] | In this paper, an Extreme Learning Machine (ELM) based technique for Multi-label classification problems is proposed and discussed. In multi-label classification, each of the input data samples belongs to one or more than one class labels. The traditional binary and multi-class classification problems are the subset of... |
2104.07951 | Leon Derczynski | Magnus Jacobsen, Mikkel H. S{\o}rensen, Leon Derczynski | Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Improvement in machine learning-based NLP performance are often presented
with bigger models and more complex code. This presents a trade-off: better
scores come at the cost of larger tools; bigger models tend to require more
during training and inference time. We present multiple methods for measuring
the size of a ... | [
{
"created": "Fri, 16 Apr 2021 08:02:56 GMT",
"version": "v1"
}
] | 2021-04-19 | [
[
"Jacobsen",
"Magnus",
""
],
[
"Sørensen",
"Mikkel H.",
""
],
[
"Derczynski",
"Leon",
""
]
] | Improvement in machine learning-based NLP performance are often presented with bigger models and more complex code. This presents a trade-off: better scores come at the cost of larger tools; bigger models tend to require more during training and inference time. We present multiple methods for measuring the size of a mo... |
1707.04588 | Ga\"etan Hadjeres | Ga\"etan Hadjeres and Frank Nielsen and Fran\c{c}ois Pachet | GLSR-VAE: Geodesic Latent Space Regularization for Variational
AutoEncoder Architectures | 11 pages | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | VAEs (Variational AutoEncoders) have proved to be powerful in the context of
density modeling and have been used in a variety of contexts for creative
purposes. In many settings, the data we model possesses continuous attributes
that we would like to take into account at generation time. We propose in this
paper GLSR... | [
{
"created": "Fri, 14 Jul 2017 12:28:25 GMT",
"version": "v1"
}
] | 2017-07-18 | [
[
"Hadjeres",
"Gaëtan",
""
],
[
"Nielsen",
"Frank",
""
],
[
"Pachet",
"François",
""
]
] | VAEs (Variational AutoEncoders) have proved to be powerful in the context of density modeling and have been used in a variety of contexts for creative purposes. In many settings, the data we model possesses continuous attributes that we would like to take into account at generation time. We propose in this paper GLSR-V... |
2211.05963 | Zhifeng Wang | Chunyan Zeng, Jiaxiang Ye, Zhifeng Wang, Nan Zhao, Minghu Wu | JSRNN: Joint Sampling and Reconstruction Neural Networks for High
Quality Image Compressed Sensing | 9 pages, 3 figures | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most Deep Learning (DL) based Compressed Sensing (DCS) algorithms adopt a
single neural network for signal reconstruction, and fail to jointly consider
the influences of the sampling operation for reconstruction. In this paper, we
propose unified framework, which jointly considers the sampling and
reconstruction proc... | [
{
"created": "Fri, 11 Nov 2022 02:20:30 GMT",
"version": "v1"
}
] | 2022-11-17 | [
[
"Zeng",
"Chunyan",
""
],
[
"Ye",
"Jiaxiang",
""
],
[
"Wang",
"Zhifeng",
""
],
[
"Zhao",
"Nan",
""
],
[
"Wu",
"Minghu",
""
]
] | Most Deep Learning (DL) based Compressed Sensing (DCS) algorithms adopt a single neural network for signal reconstruction, and fail to jointly consider the influences of the sampling operation for reconstruction. In this paper, we propose unified framework, which jointly considers the sampling and reconstruction proces... |
2005.01233 | Seungjun Nah | Seungjun Nah, Sanghyun Son, Radu Timofte and Kyoung Mu Lee | AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and
Results | Published in ICCV 2019 Workshop (Advances in Image Manipulation) | 2019 IEEE/CVF International Conference on Computer Vision Workshop
(ICCVW), Seoul, Korea (South), 2019, pp. 3388-3398 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Videos contain various types and strengths of motions that may look
unnaturally discontinuous in time when the recorded frame rate is low. This
paper reviews the first AIM challenge on video temporal super-resolution (frame
interpolation) with a focus on the proposed solutions and results. From
low-frame-rate (15 fps... | [
{
"created": "Mon, 4 May 2020 01:51:23 GMT",
"version": "v1"
}
] | 2020-05-05 | [
[
"Nah",
"Seungjun",
""
],
[
"Son",
"Sanghyun",
""
],
[
"Timofte",
"Radu",
""
],
[
"Lee",
"Kyoung Mu",
""
]
] | Videos contain various types and strengths of motions that may look unnaturally discontinuous in time when the recorded frame rate is low. This paper reviews the first AIM challenge on video temporal super-resolution (frame interpolation) with a focus on the proposed solutions and results. From low-frame-rate (15 fps) ... |
2304.02970 | Yuanhong Chen | Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen
Frazer, Gustavo Carneiro | Unraveling Instance Associations: A Closer Look for Audio-Visual
Segmentation | Code is available at https://github.com/cyh-0/CAVP | null | null | null | cs.CV cs.MM | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Audio-visual segmentation (AVS) is a challenging task that involves
accurately segmenting sounding objects based on audio-visual cues. The
effectiveness of audio-visual learning critically depends on achieving accurate
cross-modal alignment between sound and visual objects. Successful audio-visual
learning requires t... | [
{
"created": "Thu, 6 Apr 2023 09:54:06 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Apr 2023 09:54:06 GMT",
"version": "v2"
},
{
"created": "Thu, 10 Aug 2023 04:08:44 GMT",
"version": "v3"
},
{
"created": "Mon, 27 Nov 2023 13:11:20 GMT",
"version": "v4"
},
{
"cr... | 2024-08-15 | [
[
"Chen",
"Yuanhong",
""
],
[
"Liu",
"Yuyuan",
""
],
[
"Wang",
"Hu",
""
],
[
"Liu",
"Fengbei",
""
],
[
"Wang",
"Chong",
""
],
[
"Frazer",
"Helen",
""
],
[
"Carneiro",
"Gustavo",
""
]
] | Audio-visual segmentation (AVS) is a challenging task that involves accurately segmenting sounding objects based on audio-visual cues. The effectiveness of audio-visual learning critically depends on achieving accurate cross-modal alignment between sound and visual objects. Successful audio-visual learning requires two... |
1712.08357 | Liang-Wei Chen | Liang-Wei Chen, Bhargav Mangipudi, Jayachandu Bandlamudi, Richa
Sehgal, Yun Hao, Meng Jiang, Huan Gui (University of Illinois at
Urbana-Champaign) | Integrating Knowledge from Latent and Explicit Features for Triple
Scoring - Team Radicchio's Triple Scorer at WSDM Cup 2017 | Triple Scorer at WSDM Cup 2017, see arXiv:1712.08081 | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The objective of the triple scoring task in WSDM Cup 2017 is to compute
relevance scores for knowledge-base triples of type-like relations. For
example, consider Julius Caesar who has had various professions, including
Politician and Author. For two given triples (Julius Caesar, profession,
Politician) and (Julius Ca... | [
{
"created": "Fri, 22 Dec 2017 09:09:16 GMT",
"version": "v1"
}
] | 2017-12-25 | [
[
"Chen",
"Liang-Wei",
"",
"University of Illinois at\n Urbana-Champaign"
],
[
"Mangipudi",
"Bhargav",
"",
"University of Illinois at\n Urbana-Champaign"
],
[
"Bandlamudi",
"Jayachandu",
"",
"University of Illinois at\n Urbana-Champaign"
],
[
"Sehga... | The objective of the triple scoring task in WSDM Cup 2017 is to compute relevance scores for knowledge-base triples of type-like relations. For example, consider Julius Caesar who has had various professions, including Politician and Author. For two given triples (Julius Caesar, profession, Politician) and (Julius Caes... |
2302.10413 | Huy Hieu Pham | Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung
Nguyen, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen | CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with
Clustered Aggregation and Knowledge DIStilled Regularization | Accepted for presentation at the 23rd International Symposium on
Cluster, Cloud and Internet Computing (CCGrid 2023) | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by/4.0/ | Federated learning enables edge devices to train a global model
collaboratively without exposing their data. Despite achieving outstanding
advantages in computing efficiency and privacy protection, federated learning
faces a significant challenge when dealing with non-IID data, i.e., data
generated by clients that ar... | [
{
"created": "Tue, 21 Feb 2023 02:53:37 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Mar 2023 19:52:19 GMT",
"version": "v2"
},
{
"created": "Sat, 15 Apr 2023 04:06:52 GMT",
"version": "v3"
}
] | 2023-04-18 | [
[
"Nguyen",
"Nang Hung",
""
],
[
"Nguyen",
"Duc Long",
""
],
[
"Nguyen",
"Trong Bang",
""
],
[
"Nguyen",
"Thanh-Hung",
""
],
[
"Pham",
"Huy Hieu",
""
],
[
"Nguyen",
"Truong Thao",
""
],
[
"Nguyen",
"Phi Le",
... | Federated learning enables edge devices to train a global model collaboratively without exposing their data. Despite achieving outstanding advantages in computing efficiency and privacy protection, federated learning faces a significant challenge when dealing with non-IID data, i.e., data generated by clients that are ... |
1503.06809 | Konstantina Christakou | Konstantina Christakou, Dan-Cristian Tomozei, Jean-Yves Le Boudec,
Mario Paolone | AC OPF in Radial Distribution Networks - Parts I,II | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The optimal power-flow problem (OPF) has played a key role in the planning
and operation of power systems. Due to the non-linear nature of the AC
power-flow equations, the OPF problem is known to be non-convex, therefore hard
to solve. Most proposed methods for solving the OPF rely on approximations that
render the p... | [
{
"created": "Mon, 23 Mar 2015 20:03:48 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Jul 2015 10:46:04 GMT",
"version": "v2"
},
{
"created": "Tue, 5 Jul 2016 21:12:17 GMT",
"version": "v3"
}
] | 2016-07-07 | [
[
"Christakou",
"Konstantina",
""
],
[
"Tomozei",
"Dan-Cristian",
""
],
[
"Boudec",
"Jean-Yves Le",
""
],
[
"Paolone",
"Mario",
""
]
] | The optimal power-flow problem (OPF) has played a key role in the planning and operation of power systems. Due to the non-linear nature of the AC power-flow equations, the OPF problem is known to be non-convex, therefore hard to solve. Most proposed methods for solving the OPF rely on approximations that render the pro... |
2102.08473 | Yu Meng | Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett,
Jiawei Han, Xia Song | COCO-LM: Correcting and Contrasting Text Sequences for Language Model
Pretraining | NeurIPS 2021. (Code and Models: https://github.com/microsoft/COCO-LM) | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a self-supervised learning framework, COCO-LM, that pretrains
Language Models by COrrecting and COntrasting corrupted text sequences.
Following ELECTRA-style pretraining, COCO-LM employs an auxiliary language
model to corrupt text sequences, upon which it constructs two new tasks for
pretraining the main m... | [
{
"created": "Tue, 16 Feb 2021 22:24:29 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Oct 2021 02:02:39 GMT",
"version": "v2"
}
] | 2021-10-28 | [
[
"Meng",
"Yu",
""
],
[
"Xiong",
"Chenyan",
""
],
[
"Bajaj",
"Payal",
""
],
[
"Tiwary",
"Saurabh",
""
],
[
"Bennett",
"Paul",
""
],
[
"Han",
"Jiawei",
""
],
[
"Song",
"Xia",
""
]
] | We present a self-supervised learning framework, COCO-LM, that pretrains Language Models by COrrecting and COntrasting corrupted text sequences. Following ELECTRA-style pretraining, COCO-LM employs an auxiliary language model to corrupt text sequences, upon which it constructs two new tasks for pretraining the main mod... |
1609.09065 | Marasi Mwencha | Marasi Mwencha (John Snow, Inc), James Rosen (Avenir Health) | Better Data Visibility & Data Use Result in Lower Cost and Improved
Performance in Medicine Supply Chains | Presented at the Data For Good Exchange 2016 | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In 2013-2014, Tanzania embarked on a major revamp of the management of its
public health supply chains for medicines and other health supplies. These
upgrades include the establishment of a national electronic logistics
management information system (eLMIS) and the introduction of a Logistics
Management Unit (LMU) to... | [
{
"created": "Wed, 28 Sep 2016 03:22:57 GMT",
"version": "v1"
}
] | 2016-09-30 | [
[
"Mwencha",
"Marasi",
"",
"John Snow, Inc"
],
[
"Rosen",
"James",
"",
"Avenir Health"
]
] | In 2013-2014, Tanzania embarked on a major revamp of the management of its public health supply chains for medicines and other health supplies. These upgrades include the establishment of a national electronic logistics management information system (eLMIS) and the introduction of a Logistics Management Unit (LMU) to u... |
2305.18842 | Xingyu Fu | Xingyu Fu and Sheng Zhang and Gukyeong Kwon and Pramuditha Perera and
Henghui Zhu and Yuhao Zhang and Alexander Hanbo Li and William Yang Wang and
Zhiguo Wang and Vittorio Castelli and Patrick Ng and Dan Roth and Bing Xiang | Generate then Select: Open-ended Visual Question Answering Guided by
World Knowledge | Accepted to ACL 2023 Findings | null | null | null | cs.CL cs.AI cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The open-ended Visual Question Answering (VQA) task requires AI models to
jointly reason over visual and natural language inputs using world knowledge.
Recently, pre-trained Language Models (PLM) such as GPT-3 have been applied to
the task and shown to be powerful world knowledge sources. However, these
methods suffe... | [
{
"created": "Tue, 30 May 2023 08:34:13 GMT",
"version": "v1"
}
] | 2023-05-31 | [
[
"Fu",
"Xingyu",
""
],
[
"Zhang",
"Sheng",
""
],
[
"Kwon",
"Gukyeong",
""
],
[
"Perera",
"Pramuditha",
""
],
[
"Zhu",
"Henghui",
""
],
[
"Zhang",
"Yuhao",
""
],
[
"Li",
"Alexander Hanbo",
""
],
[
"Wa... | The open-ended Visual Question Answering (VQA) task requires AI models to jointly reason over visual and natural language inputs using world knowledge. Recently, pre-trained Language Models (PLM) such as GPT-3 have been applied to the task and shown to be powerful world knowledge sources. However, these methods suffer ... |
1611.08198 | Travis Gagie | Felipe A. Louza, Travis Gagie and Guilherme P. Telles | Burrows-Wheeler transform and LCP array construction in constant space | Accepted to JDA | Journal of Discrete Algorithms, 42 (2017) 14-22 | 10.1016/j.jda.2016.11.003 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this article we extend the elegant in-place Burrows-Wheeler transform
(BWT) algorithm proposed by Crochemore et al. (Crochemore et al., 2015). Our
extension is twofold: we first show how to compute simultaneously the longest
common prefix (LCP) array as well as the BWT, using constant additional space;
we then sho... | [
{
"created": "Thu, 24 Nov 2016 14:43:57 GMT",
"version": "v1"
}
] | 2018-06-08 | [
[
"Louza",
"Felipe A.",
""
],
[
"Gagie",
"Travis",
""
],
[
"Telles",
"Guilherme P.",
""
]
] | In this article we extend the elegant in-place Burrows-Wheeler transform (BWT) algorithm proposed by Crochemore et al. (Crochemore et al., 2015). Our extension is twofold: we first show how to compute simultaneously the longest common prefix (LCP) array as well as the BWT, using constant additional space; we then show ... |
2101.04927 | Boris Faizov | Anton Konushin, Boris Faizov, Vlad Shakhuro | Road images augmentation with synthetic traffic signs using neural
networks | The paper was submitted to the journal "Computer Optics" and is
currently under review | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traffic sign recognition is a well-researched problem in computer vision.
However, the state of the art methods works only for frequent sign classes,
which are well represented in training datasets. We consider the task of rare
traffic sign detection and classification. We aim to solve that problem by
using synthetic... | [
{
"created": "Wed, 13 Jan 2021 08:10:33 GMT",
"version": "v1"
}
] | 2021-01-14 | [
[
"Konushin",
"Anton",
""
],
[
"Faizov",
"Boris",
""
],
[
"Shakhuro",
"Vlad",
""
]
] | Traffic sign recognition is a well-researched problem in computer vision. However, the state of the art methods works only for frequent sign classes, which are well represented in training datasets. We consider the task of rare traffic sign detection and classification. We aim to solve that problem by using synthetic t... |
1204.1746 | Eugene Goldberg | Eugene Goldberg and Panagiotis Manolios | Removal of Quantifiers by Elimination of Boundary Points | The only change with respect to the previous version is a
modification of the acknowledgement section | null | null | null | cs.LO cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of elimination of existential quantifiers from a
Boolean CNF formula. Our approach is based on the following observation. One
can get rid of dependency on a set of variables of a quantified CNF formula F
by adding resolvent clauses of F eliminating boundary points. This approach is
similar to ... | [
{
"created": "Sun, 8 Apr 2012 17:00:25 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Jun 2012 14:34:11 GMT",
"version": "v2"
}
] | 2012-06-06 | [
[
"Goldberg",
"Eugene",
""
],
[
"Manolios",
"Panagiotis",
""
]
] | We consider the problem of elimination of existential quantifiers from a Boolean CNF formula. Our approach is based on the following observation. One can get rid of dependency on a set of variables of a quantified CNF formula F by adding resolvent clauses of F eliminating boundary points. This approach is similar to th... |
2105.09926 | Frederik Mallmann-Trenn | Nan Kang, Frederik Mallmann-Trenn and Nicol\'as Rivera | Diversity, Fairness, and Sustainability in Population Protocols | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Over the years, population protocols with the goal of reaching consensus have
been studied in great depth. However, many systems in the real-world do not
result in all agents eventually reaching consensus, but rather in the opposite:
they converge to a state of rich diversity. Consider for example task
allocation in ... | [
{
"created": "Thu, 20 May 2021 17:39:56 GMT",
"version": "v1"
},
{
"created": "Mon, 7 Jun 2021 09:41:22 GMT",
"version": "v2"
}
] | 2021-06-08 | [
[
"Kang",
"Nan",
""
],
[
"Mallmann-Trenn",
"Frederik",
""
],
[
"Rivera",
"Nicolás",
""
]
] | Over the years, population protocols with the goal of reaching consensus have been studied in great depth. However, many systems in the real-world do not result in all agents eventually reaching consensus, but rather in the opposite: they converge to a state of rich diversity. Consider for example task allocation in an... |
2210.17335 | Peter Thiemann | Hannes Saffrich and Peter Thiemann | Polymorphic Typestate for Session Types | 29 pages. Short version appears in PPDP 2023 | null | 10.1145/3610612.3610624 | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Session types provide a principled approach to typed communication protocols
that guarantee type safety and protocol fidelity. Formalizations of
session-typed communication are typically based on process calculi, concurrent
lambda calculi, or linear logic. An alternative model based on
context-sensitive typing and ty... | [
{
"created": "Mon, 31 Oct 2022 13:56:23 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Aug 2023 09:19:40 GMT",
"version": "v2"
}
] | 2023-08-15 | [
[
"Saffrich",
"Hannes",
""
],
[
"Thiemann",
"Peter",
""
]
] | Session types provide a principled approach to typed communication protocols that guarantee type safety and protocol fidelity. Formalizations of session-typed communication are typically based on process calculi, concurrent lambda calculi, or linear logic. An alternative model based on context-sensitive typing and type... |
2209.03090 | Juan Carlos Andresen | Kuo-Yun Liang, Abhishek Srinivasan, Juan Carlos Andresen | Modular Federated Learning | To be published in IEEE IJCNN 2022 proceedings | International Joint Conference on Neural Networks (IJCNN), 2022,
pp. 1-8 | 10.1109/IJCNN55064.2022.9892377 | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Federated learning is an approach to train machine learning models on the
edge of the networks, as close as possible where the data is produced,
motivated by the emerging problem of the inability to stream and centrally
store the large amount of data produced by edge devices as well as by data
privacy concerns. This ... | [
{
"created": "Wed, 7 Sep 2022 11:54:55 GMT",
"version": "v1"
}
] | 2022-10-07 | [
[
"Liang",
"Kuo-Yun",
""
],
[
"Srinivasan",
"Abhishek",
""
],
[
"Andresen",
"Juan Carlos",
""
]
] | Federated learning is an approach to train machine learning models on the edge of the networks, as close as possible where the data is produced, motivated by the emerging problem of the inability to stream and centrally store the large amount of data produced by edge devices as well as by data privacy concerns. This le... |
2311.17035 | Nicholas Carlini | Milad Nasr, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A.
Feder Cooper, Daphne Ippolito, Christopher A. Choquette-Choo, Eric Wallace,
Florian Tram\`er, Katherine Lee | Scalable Extraction of Training Data from (Production) Language Models | null | null | null | null | cs.LG cs.CL cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies extractable memorization: training data that an adversary
can efficiently extract by querying a machine learning model without prior
knowledge of the training dataset. We show an adversary can extract gigabytes
of training data from open-source language models like Pythia or GPT-Neo,
semi-open mode... | [
{
"created": "Tue, 28 Nov 2023 18:47:03 GMT",
"version": "v1"
}
] | 2023-11-29 | [
[
"Nasr",
"Milad",
""
],
[
"Carlini",
"Nicholas",
""
],
[
"Hayase",
"Jonathan",
""
],
[
"Jagielski",
"Matthew",
""
],
[
"Cooper",
"A. Feder",
""
],
[
"Ippolito",
"Daphne",
""
],
[
"Choquette-Choo",
"Christopher A... | This paper studies extractable memorization: training data that an adversary can efficiently extract by querying a machine learning model without prior knowledge of the training dataset. We show an adversary can extract gigabytes of training data from open-source language models like Pythia or GPT-Neo, semi-open models... |
1705.00464 | Ted Zhang | Ted Zhang, Dengxin Dai, Tinne Tuytelaars, Marie-Francine Moens, Luc
Van Gool | Speech-Based Visual Question Answering | null | null | null | null | cs.CL cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces speech-based visual question answering (VQA), the task
of generating an answer given an image and a spoken question. Two methods are
studied: an end-to-end, deep neural network that directly uses audio waveforms
as input versus a pipelined approach that performs ASR (Automatic Speech
Recognition... | [
{
"created": "Mon, 1 May 2017 10:43:28 GMT",
"version": "v1"
},
{
"created": "Sat, 16 Sep 2017 03:43:20 GMT",
"version": "v2"
}
] | 2017-09-19 | [
[
"Zhang",
"Ted",
""
],
[
"Dai",
"Dengxin",
""
],
[
"Tuytelaars",
"Tinne",
""
],
[
"Moens",
"Marie-Francine",
""
],
[
"Van Gool",
"Luc",
""
]
] | This paper introduces speech-based visual question answering (VQA), the task of generating an answer given an image and a spoken question. Two methods are studied: an end-to-end, deep neural network that directly uses audio waveforms as input versus a pipelined approach that performs ASR (Automatic Speech Recognition) ... |
2306.03842 | Nimrod Megiddo | Nimrod Megiddo | Remarks on Utility in Repeated Bets | null | null | null | null | cs.AI math.PR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The use of von Neumann -- Morgenstern utility is examined in the context of
multiple choices between lotteries. Different conclusions are reached if the
choices are simultaneous or sequential. It is demonstrated that utility cannot
be additive.
| [
{
"created": "Tue, 6 Jun 2023 16:29:31 GMT",
"version": "v1"
}
] | 2023-06-07 | [
[
"Megiddo",
"Nimrod",
""
]
] | The use of von Neumann -- Morgenstern utility is examined in the context of multiple choices between lotteries. Different conclusions are reached if the choices are simultaneous or sequential. It is demonstrated that utility cannot be additive. |
1607.02533 | Alexey Kurakin | Alexey Kurakin, Ian Goodfellow and Samy Bengio | Adversarial examples in the physical world | 14 pages, 6 figures. Demo available at https://youtu.be/zQ_uMenoBCk | null | null | null | cs.CV cs.CR cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most existing machine learning classifiers are highly vulnerable to
adversarial examples. An adversarial example is a sample of input data which
has been modified very slightly in a way that is intended to cause a machine
learning classifier to misclassify it. In many cases, these modifications can
be so subtle that ... | [
{
"created": "Fri, 8 Jul 2016 21:12:11 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Aug 2016 22:57:31 GMT",
"version": "v2"
},
{
"created": "Fri, 4 Nov 2016 20:34:37 GMT",
"version": "v3"
},
{
"created": "Sat, 11 Feb 2017 00:39:39 GMT",
"version": "v4"
}
] | 2017-02-14 | [
[
"Kurakin",
"Alexey",
""
],
[
"Goodfellow",
"Ian",
""
],
[
"Bengio",
"Samy",
""
]
] | Most existing machine learning classifiers are highly vulnerable to adversarial examples. An adversarial example is a sample of input data which has been modified very slightly in a way that is intended to cause a machine learning classifier to misclassify it. In many cases, these modifications can be so subtle that a ... |
1011.0253 | Albert Xin Jiang | Albert Xin Jiang and Kevin Leyton-Brown | Polynomial-time Computation of Exact Correlated Equilibrium in Compact
Games | 15 pages | null | null | null | cs.GT cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a landmark paper, Papadimitriou and Roughgarden described a
polynomial-time algorithm ("Ellipsoid Against Hope") for computing sample
correlated equilibria of concisely-represented games. Recently, Stein, Parrilo
and Ozdaglar showed that this algorithm can fail to find an exact correlated
equilibrium, but can be e... | [
{
"created": "Mon, 1 Nov 2010 05:06:59 GMT",
"version": "v1"
}
] | 2015-03-17 | [
[
"Jiang",
"Albert Xin",
""
],
[
"Leyton-Brown",
"Kevin",
""
]
] | In a landmark paper, Papadimitriou and Roughgarden described a polynomial-time algorithm ("Ellipsoid Against Hope") for computing sample correlated equilibria of concisely-represented games. Recently, Stein, Parrilo and Ozdaglar showed that this algorithm can fail to find an exact correlated equilibrium, but can be eas... |
1105.3531 | Jonathan Scarlett | Jonathan Scarlett, Jamie Evans, Subhrakanti Dey | On the Tradeoff Between Multiuser Diversity and Training Overhead in
Multiple Access Channels | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a single antenna narrowband multiple access channel in which
users send training sequences to the base station and scheduling is performed
based on minimum mean square error (MMSE) channel estimates. In such a system,
there is an inherent tradeoff between training overhead and the amount of
multiuser dive... | [
{
"created": "Wed, 18 May 2011 04:44:33 GMT",
"version": "v1"
},
{
"created": "Sun, 22 May 2011 11:11:31 GMT",
"version": "v2"
},
{
"created": "Thu, 4 Aug 2011 07:49:30 GMT",
"version": "v3"
},
{
"created": "Sun, 11 Dec 2011 15:27:26 GMT",
"version": "v4"
}
] | 2011-12-13 | [
[
"Scarlett",
"Jonathan",
""
],
[
"Evans",
"Jamie",
""
],
[
"Dey",
"Subhrakanti",
""
]
] | We consider a single antenna narrowband multiple access channel in which users send training sequences to the base station and scheduling is performed based on minimum mean square error (MMSE) channel estimates. In such a system, there is an inherent tradeoff between training overhead and the amount of multiuser divers... |
1909.10549 | Gregory Farquhar | Gregory Farquhar, Shimon Whiteson, Jakob Foerster | Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function
Estimators for Reinforcement Learning | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Gradient-based methods for optimisation of objectives in stochastic settings
with unknown or intractable dynamics require estimators of derivatives. We
derive an objective that, under automatic differentiation, produces
low-variance unbiased estimators of derivatives at any order. Our objective is
compatible with arb... | [
{
"created": "Mon, 23 Sep 2019 18:13:50 GMT",
"version": "v1"
}
] | 2019-09-25 | [
[
"Farquhar",
"Gregory",
""
],
[
"Whiteson",
"Shimon",
""
],
[
"Foerster",
"Jakob",
""
]
] | Gradient-based methods for optimisation of objectives in stochastic settings with unknown or intractable dynamics require estimators of derivatives. We derive an objective that, under automatic differentiation, produces low-variance unbiased estimators of derivatives at any order. Our objective is compatible with arbit... |
1909.00124 | Hao Wang | Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, and Tianrui Li | Learning with Noisy Labels for Sentence-level Sentiment Classification | to appear in EMNLP-IJCNLP 2019 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks (DNNs) can fit (or even over-fit) the training data very
well. If a DNN model is trained using data with noisy labels and tested on data
with clean labels, the model may perform poorly. This paper studies the problem
of learning with noisy labels for sentence-level sentiment classification. We
pr... | [
{
"created": "Sat, 31 Aug 2019 04:18:50 GMT",
"version": "v1"
}
] | 2019-09-04 | [
[
"Wang",
"Hao",
""
],
[
"Liu",
"Bing",
""
],
[
"Li",
"Chaozhuo",
""
],
[
"Yang",
"Yan",
""
],
[
"Li",
"Tianrui",
""
]
] | Deep neural networks (DNNs) can fit (or even over-fit) the training data very well. If a DNN model is trained using data with noisy labels and tested on data with clean labels, the model may perform poorly. This paper studies the problem of learning with noisy labels for sentence-level sentiment classification. We prop... |
1402.4247 | Jae-Hyeon Parq | Jae-Hyeon Parq, Erik Sevre and Sang-Mook Lee | Effects of Easy Hybrid Parallelization with CUDA for
Numerical-Atomic-Orbital Density Functional Theory Calculation | 20 pages, 3 figures | International Journal of Computer Applications, Volume 98, No.13,
pp. 20-27 (2014) | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We modified a MPI-friendly density functional theory (DFT) source code within
hybrid parallelization including CUDA. Our objective is to find out how simple
conversions within the hybrid parallelization with mid-range GPUs affect DFT
code not originally suitable to CUDA. We settled several rules of hybrid
paralleliza... | [
{
"created": "Tue, 18 Feb 2014 08:25:47 GMT",
"version": "v1"
}
] | 2014-07-23 | [
[
"Parq",
"Jae-Hyeon",
""
],
[
"Sevre",
"Erik",
""
],
[
"Lee",
"Sang-Mook",
""
]
] | We modified a MPI-friendly density functional theory (DFT) source code within hybrid parallelization including CUDA. Our objective is to find out how simple conversions within the hybrid parallelization with mid-range GPUs affect DFT code not originally suitable to CUDA. We settled several rules of hybrid parallelizati... |
2106.04112 | Siqi Deng | Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto | Harnessing Unrecognizable Faces for Improving Face Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The common implementation of face recognition systems as a cascade of a
detection stage and a recognition or verification stage can cause problems
beyond failures of the detector. When the detector succeeds, it can detect
faces that cannot be recognized, no matter how capable the recognition system.
Recognizability, ... | [
{
"created": "Tue, 8 Jun 2021 05:25:03 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Sep 2021 19:43:53 GMT",
"version": "v2"
}
] | 2021-09-16 | [
[
"Deng",
"Siqi",
""
],
[
"Xiong",
"Yuanjun",
""
],
[
"Wang",
"Meng",
""
],
[
"Xia",
"Wei",
""
],
[
"Soatto",
"Stefano",
""
]
] | The common implementation of face recognition systems as a cascade of a detection stage and a recognition or verification stage can cause problems beyond failures of the detector. When the detector succeeds, it can detect faces that cannot be recognized, no matter how capable the recognition system. Recognizability, a ... |
2405.03153 | Md Main Uddin Rony | Md Main Uddin Rony, Md Mahfuzul Haque, Mohammad Ali, Ahmed Shatil
Alam, Naeemul Hassan | Exploring the Potential of the Large Language Models (LLMs) in
Identifying Misleading News Headlines | 5 pages, 2 tables, 1st HEAL Workshop at CHI Conference on Human
Factors in Computing Systems, May 12, Honolulu, HI, USA 2024 | null | null | null | cs.CL cs.CY cs.LG | http://creativecommons.org/licenses/by/4.0/ | In the digital age, the prevalence of misleading news headlines poses a
significant challenge to information integrity, necessitating robust detection
mechanisms. This study explores the efficacy of Large Language Models (LLMs) in
identifying misleading versus non-misleading news headlines. Utilizing a
dataset of 60 ... | [
{
"created": "Mon, 6 May 2024 04:06:45 GMT",
"version": "v1"
}
] | 2024-05-07 | [
[
"Rony",
"Md Main Uddin",
""
],
[
"Haque",
"Md Mahfuzul",
""
],
[
"Ali",
"Mohammad",
""
],
[
"Alam",
"Ahmed Shatil",
""
],
[
"Hassan",
"Naeemul",
""
]
] | In the digital age, the prevalence of misleading news headlines poses a significant challenge to information integrity, necessitating robust detection mechanisms. This study explores the efficacy of Large Language Models (LLMs) in identifying misleading versus non-misleading news headlines. Utilizing a dataset of 60 ar... |
1501.07847 | Adebayo Omotosho Mr | Adebayo Omotosho, Mikhail Olaniyi, Justice Emuoyibofarhe, Funbi Osobu | Electronic Medication Prescribing Support System for Diagnosing Tropical
Diseases | null | null | null | null | cs.CY cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents the development of an e-prescription system for
diagnosing tropical diseases.Results after testing the developed system by
medical experts indicated that the e-prescription systems is more efficient and
less susceptible to common errors associated with the conventional handwritten
medical prescrip... | [
{
"created": "Fri, 30 Jan 2015 17:13:50 GMT",
"version": "v1"
}
] | 2015-02-02 | [
[
"Omotosho",
"Adebayo",
""
],
[
"Olaniyi",
"Mikhail",
""
],
[
"Emuoyibofarhe",
"Justice",
""
],
[
"Osobu",
"Funbi",
""
]
] | This paper presents the development of an e-prescription system for diagnosing tropical diseases.Results after testing the developed system by medical experts indicated that the e-prescription systems is more efficient and less susceptible to common errors associated with the conventional handwritten medical prescripti... |
2405.20138 | Toshio Suzuki | Fuki Ito, Toshio Suzuki | Separation and Collapse of Equilibria Inequalities on AND-OR Trees
without Shape Constraints | 42 pages, 1 figure | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Herein, we investigate the randomized complexity, which is the least cost
against the worst input, of AND-OR tree computation by imposing various
restrictions on the algorithm to find the Boolean value of the root of that
tree and no restrictions on the tree shape. When a tree satisfies a certain
condition regarding ... | [
{
"created": "Thu, 30 May 2024 15:13:46 GMT",
"version": "v1"
}
] | 2024-05-31 | [
[
"Ito",
"Fuki",
""
],
[
"Suzuki",
"Toshio",
""
]
] | Herein, we investigate the randomized complexity, which is the least cost against the worst input, of AND-OR tree computation by imposing various restrictions on the algorithm to find the Boolean value of the root of that tree and no restrictions on the tree shape. When a tree satisfies a certain condition regarding it... |
2105.03289 | Hichem Mrabet | Hichem Mrabet, Elias Giaccoumidis and Iyad Dayoub | A Survey of Applied Machine Learning Techniques for Optical OFDM based
Networks | 26 pages, 4 figures and 4 tables | null | null | null | cs.LG eess.SP | http://creativecommons.org/licenses/by/4.0/ | In this survey, we analyze the newest machine learning (ML) techniques for
optical orthogonal frequency division multiplexing (O-OFDM)-based optical
communications. ML has been proposed to mitigate channel and transceiver
imperfections. For instance, ML can improve the signal quality under low
modulation extinction r... | [
{
"created": "Fri, 7 May 2021 14:29:25 GMT",
"version": "v1"
}
] | 2021-05-10 | [
[
"Mrabet",
"Hichem",
""
],
[
"Giaccoumidis",
"Elias",
""
],
[
"Dayoub",
"Iyad",
""
]
] | In this survey, we analyze the newest machine learning (ML) techniques for optical orthogonal frequency division multiplexing (O-OFDM)-based optical communications. ML has been proposed to mitigate channel and transceiver imperfections. For instance, ML can improve the signal quality under low modulation extinction rat... |
2112.01781 | Mohammed Lalou | Mohammed Lalou | On the Complexity of the K-way Vertex Cut Problem | 3 figures, 5 pages (double column), conference | null | null | null | cs.CC cs.DS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The K-way vertex cut problem} consists in, given a graph G, finding a subset
of vertices of a given size, whose removal partitions G into the maximum number
of connected components. This problem has many applications in several areas.
It has been proven to be NP-complete on general graphs, as well as on split and
pla... | [
{
"created": "Fri, 3 Dec 2021 08:29:14 GMT",
"version": "v1"
}
] | 2021-12-06 | [
[
"Lalou",
"Mohammed",
""
]
] | The K-way vertex cut problem} consists in, given a graph G, finding a subset of vertices of a given size, whose removal partitions G into the maximum number of connected components. This problem has many applications in several areas. It has been proven to be NP-complete on general graphs, as well as on split and plana... |
2006.13704 | Liting Sun | Zheng Wu, Liting Sun, Wei Zhan, Chenyu Yang, Masayoshi Tomizuka | Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning
with Application to Autonomous Driving | Accepted by IEEE Robotics and Automation Letters. June 2020 | null | null | null | cs.RO cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the past decades, we have witnessed significant progress in the domain of
autonomous driving. Advanced techniques based on optimization and reinforcement
learning (RL) become increasingly powerful at solving the forward problem:
given designed reward/cost functions, how should we optimize them and obtain
driving p... | [
{
"created": "Mon, 22 Jun 2020 01:41:13 GMT",
"version": "v1"
}
] | 2020-06-25 | [
[
"Wu",
"Zheng",
""
],
[
"Sun",
"Liting",
""
],
[
"Zhan",
"Wei",
""
],
[
"Yang",
"Chenyu",
""
],
[
"Tomizuka",
"Masayoshi",
""
]
] | In the past decades, we have witnessed significant progress in the domain of autonomous driving. Advanced techniques based on optimization and reinforcement learning (RL) become increasingly powerful at solving the forward problem: given designed reward/cost functions, how should we optimize them and obtain driving pol... |
2108.02559 | Shixiang Feng | Shixiang Feng, Yuhang Zhou, Xiaoman Zhang, Ya Zhang, and Yanfeng Wang | MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Annotating multiple organs in 3D medical images is time-consuming and costly.
Meanwhile, there exist many single-organ datasets with one specific organ
annotated. This paper investigates how to learn a multi-organ segmentation
model leveraging a set of binary-labeled datasets. A novel Multi-teacher
Single-student Kno... | [
{
"created": "Thu, 5 Aug 2021 12:29:26 GMT",
"version": "v1"
}
] | 2021-08-06 | [
[
"Feng",
"Shixiang",
""
],
[
"Zhou",
"Yuhang",
""
],
[
"Zhang",
"Xiaoman",
""
],
[
"Zhang",
"Ya",
""
],
[
"Wang",
"Yanfeng",
""
]
] | Annotating multiple organs in 3D medical images is time-consuming and costly. Meanwhile, there exist many single-organ datasets with one specific organ annotated. This paper investigates how to learn a multi-organ segmentation model leveraging a set of binary-labeled datasets. A novel Multi-teacher Single-student Knowl... |
2405.06356 | Daniel De Pascale | Daniel De Pascale, Giuseppe Cascavilla, Damian A. Tamburri, Willem-Jan
Van Den Heuvel | CRATOR: a Dark Web Crawler | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Dark web crawling is a complex process that involves specific methodologies
and techniques to navigate the Tor network and extract data from hidden
services. This study proposes a general dark web crawler designed to extract
pages handling security protocols, such as captchas, efficiently. Our approach
uses a combina... | [
{
"created": "Fri, 10 May 2024 09:39:12 GMT",
"version": "v1"
}
] | 2024-05-13 | [
[
"De Pascale",
"Daniel",
""
],
[
"Cascavilla",
"Giuseppe",
""
],
[
"Tamburri",
"Damian A.",
""
],
[
"Heuvel",
"Willem-Jan Van Den",
""
]
] | Dark web crawling is a complex process that involves specific methodologies and techniques to navigate the Tor network and extract data from hidden services. This study proposes a general dark web crawler designed to extract pages handling security protocols, such as captchas, efficiently. Our approach uses a combinati... |
cs/0302036 | Evgueni Petrov | Evgueni Petrov, Eric Monfroy | Constraint-based analysis of composite solvers | submitted to AI SAC 2004 | null | null | null | cs.AI | null | Cooperative constraint solving is an area of constraint programming that
studies the interaction between constraint solvers with the aim of discovering
the interaction patterns that amplify the positive qualities of individual
solvers. Automatisation and formalisation of such studies is an important issue
of cooperat... | [
{
"created": "Tue, 25 Feb 2003 14:33:08 GMT",
"version": "v1"
},
{
"created": "Sun, 7 Sep 2003 23:03:03 GMT",
"version": "v2"
}
] | 2007-05-23 | [
[
"Petrov",
"Evgueni",
""
],
[
"Monfroy",
"Eric",
""
]
] | Cooperative constraint solving is an area of constraint programming that studies the interaction between constraint solvers with the aim of discovering the interaction patterns that amplify the positive qualities of individual solvers. Automatisation and formalisation of such studies is an important issue of cooperativ... |
2405.14712 | Sam Kriegman | Luke Strgar, David Matthews, Tyler Hummer, Sam Kriegman | Evolution and learning in differentiable robots | null | null | null | null | cs.RO cs.AI | http://creativecommons.org/licenses/by/4.0/ | The automatic design of robots has existed for 30 years but has been
constricted by serial non-differentiable design evaluations, premature
convergence to simple bodies or clumsy behaviors, and a lack of sim2real
transfer to physical machines. Thus, here we employ massively-parallel
differentiable simulations to rapi... | [
{
"created": "Thu, 23 May 2024 15:45:43 GMT",
"version": "v1"
},
{
"created": "Sun, 26 May 2024 17:24:12 GMT",
"version": "v2"
}
] | 2024-05-28 | [
[
"Strgar",
"Luke",
""
],
[
"Matthews",
"David",
""
],
[
"Hummer",
"Tyler",
""
],
[
"Kriegman",
"Sam",
""
]
] | The automatic design of robots has existed for 30 years but has been constricted by serial non-differentiable design evaluations, premature convergence to simple bodies or clumsy behaviors, and a lack of sim2real transfer to physical machines. Thus, here we employ massively-parallel differentiable simulations to rapidl... |
2010.10995 | Harikrishnan Nellippallil Balakrishnan | Harikrishnan NB and Pranay SY and Nithin Nagaraj | A Neurochaos Learning Architecture for Genome Classification | 20 pages, 20 images | null | null | null | cs.NE cs.LG q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There has been empirical evidence of presence of non-linearity and chaos at
the level of single neurons in biological neural networks. The properties of
chaotic neurons inspires us to employ them in artificial learning systems.
Here, we propose a Neurochaos Learning (NL) architecture, where the neurons
used to extrac... | [
{
"created": "Mon, 12 Oct 2020 19:07:02 GMT",
"version": "v1"
}
] | 2020-10-22 | [
[
"NB",
"Harikrishnan",
""
],
[
"SY",
"Pranay",
""
],
[
"Nagaraj",
"Nithin",
""
]
] | There has been empirical evidence of presence of non-linearity and chaos at the level of single neurons in biological neural networks. The properties of chaotic neurons inspires us to employ them in artificial learning systems. Here, we propose a Neurochaos Learning (NL) architecture, where the neurons used to extract ... |
1903.03431 | Cristina Dalf\'o | C. Dalf\'o, M. A. Fiol | El m\`etode de les l\'inies per a la resoluci\'o num\`erica d'equacions
en derivades parcials. The method of lines for numerical solutions of partial
differential equations | in Catalonian | null | null | null | cs.NA math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we describe a semi-discrete method for a numerical resolution
of a type of partial differential equations, called the method of lines (MOL).
This method is based on the discretization of all but one of the variables of
the problem. We illustrate this method by solving the Laplace equation in
Cartesian ... | [
{
"created": "Wed, 27 Feb 2019 11:33:14 GMT",
"version": "v1"
}
] | 2019-03-11 | [
[
"Dalfó",
"C.",
""
],
[
"Fiol",
"M. A.",
""
]
] | In this paper, we describe a semi-discrete method for a numerical resolution of a type of partial differential equations, called the method of lines (MOL). This method is based on the discretization of all but one of the variables of the problem. We illustrate this method by solving the Laplace equation in Cartesian co... |
1809.10932 | Huy Phan | Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Ch\'en, Maarten
De Vos | SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for
Sequence-to-Sequence Automatic Sleep Staging | This article has been published in IEEE Transactions on Neural
Systems and Rehabilitation Engineering | null | 10.1109/TNSRE.2019.2896659 | null | cs.LG eess.SP stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic sleep staging has been often treated as a simple classification
problem that aims at determining the label of individual target polysomnography
(PSG) epochs one at a time. In this work, we tackle the task as a
sequence-to-sequence classification problem that receives a sequence of
multiple epochs as input a... | [
{
"created": "Fri, 28 Sep 2018 09:37:48 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Oct 2018 08:17:21 GMT",
"version": "v2"
},
{
"created": "Sat, 2 Feb 2019 01:46:14 GMT",
"version": "v3"
}
] | 2019-02-05 | [
[
"Phan",
"Huy",
""
],
[
"Andreotti",
"Fernando",
""
],
[
"Cooray",
"Navin",
""
],
[
"Chén",
"Oliver Y.",
""
],
[
"De Vos",
"Maarten",
""
]
] | Automatic sleep staging has been often treated as a simple classification problem that aims at determining the label of individual target polysomnography (PSG) epochs one at a time. In this work, we tackle the task as a sequence-to-sequence classification problem that receives a sequence of multiple epochs as input and... |
2308.04778 | Yasser KHALAFAOUI | Yasser Khalafaoui (Alteca, ETIS - UMR 8051, CY), Nistor Grozavu (ETIS
- UMR 8051, CY), Basarab Matei (LIPN), Laurent-Walter Goix | Multi-modal Multi-view Clustering based on Non-negative Matrix
Factorization | null | 2022 IEEE Symposium Series on Computational Intelligence (SSCI),
Dec 2022, Singapore, Singapore. pp.1386-1391 | 10.1109/SSCI51031.2022.10022129 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | By combining related objects, unsupervised machine learning techniques aim to
reveal the underlying patterns in a data set. Non-negative Matrix Factorization
(NMF) is a data mining technique that splits data matrices by imposing
restrictions on the elements' non-negativity into two matrices: one
representing the data... | [
{
"created": "Wed, 9 Aug 2023 08:06:03 GMT",
"version": "v1"
}
] | 2023-08-10 | [
[
"Khalafaoui",
"Yasser",
"",
"Alteca, ETIS - UMR 8051, CY"
],
[
"Grozavu",
"Nistor",
"",
"ETIS\n - UMR 8051, CY"
],
[
"Matei",
"Basarab",
"",
"LIPN"
],
[
"Goix",
"Laurent-Walter",
""
]
] | By combining related objects, unsupervised machine learning techniques aim to reveal the underlying patterns in a data set. Non-negative Matrix Factorization (NMF) is a data mining technique that splits data matrices by imposing restrictions on the elements' non-negativity into two matrices: one representing the data p... |
2305.13303 | Jannis Vamvas | Jannis Vamvas and Rico Sennrich | Towards Unsupervised Recognition of Token-level Semantic Differences in
Related Documents | EMNLP 2023 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatically highlighting words that cause semantic differences between two
documents could be useful for a wide range of applications. We formulate
recognizing semantic differences (RSD) as a token-level regression task and
study three unsupervised approaches that rely on a masked language model. To
assess the appr... | [
{
"created": "Mon, 22 May 2023 17:58:04 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Oct 2023 11:58:37 GMT",
"version": "v2"
},
{
"created": "Fri, 20 Oct 2023 12:27:41 GMT",
"version": "v3"
}
] | 2023-10-23 | [
[
"Vamvas",
"Jannis",
""
],
[
"Sennrich",
"Rico",
""
]
] | Automatically highlighting words that cause semantic differences between two documents could be useful for a wide range of applications. We formulate recognizing semantic differences (RSD) as a token-level regression task and study three unsupervised approaches that rely on a masked language model. To assess the approa... |
2012.04550 | Sang Michael Xie | Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu
Ma, Percy Liang | In-N-Out: Pre-Training and Self-Training using Auxiliary Information for
Out-of-Distribution Robustness | ICLR 2021 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Consider a prediction setting with few in-distribution labeled examples and
many unlabeled examples both in- and out-of-distribution (OOD). The goal is to
learn a model which performs well both in-distribution and OOD. In these
settings, auxiliary information is often cheaply available for every input. How
should we ... | [
{
"created": "Tue, 8 Dec 2020 16:43:07 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Dec 2020 22:00:59 GMT",
"version": "v2"
},
{
"created": "Wed, 7 Apr 2021 16:47:17 GMT",
"version": "v3"
}
] | 2021-04-08 | [
[
"Xie",
"Sang Michael",
""
],
[
"Kumar",
"Ananya",
""
],
[
"Jones",
"Robbie",
""
],
[
"Khani",
"Fereshte",
""
],
[
"Ma",
"Tengyu",
""
],
[
"Liang",
"Percy",
""
]
] | Consider a prediction setting with few in-distribution labeled examples and many unlabeled examples both in- and out-of-distribution (OOD). The goal is to learn a model which performs well both in-distribution and OOD. In these settings, auxiliary information is often cheaply available for every input. How should we be... |
2202.06003 | Parameswaran Kamalaruban Dr. | Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes,
Subramanian Ramamoorthy, Adrian Weller | Robust Learning from Observation with Model Misspecification | accepted to AAMAS 2022 (camera-ready version) | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Imitation learning (IL) is a popular paradigm for training policies in
robotic systems when specifying the reward function is difficult. However,
despite the success of IL algorithms, they impose the somewhat unrealistic
requirement that the expert demonstrations must come from the same domain in
which a new imitator... | [
{
"created": "Sat, 12 Feb 2022 07:04:06 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Feb 2022 10:35:34 GMT",
"version": "v2"
}
] | 2022-02-16 | [
[
"Viano",
"Luca",
""
],
[
"Huang",
"Yu-Ting",
""
],
[
"Kamalaruban",
"Parameswaran",
""
],
[
"Innes",
"Craig",
""
],
[
"Ramamoorthy",
"Subramanian",
""
],
[
"Weller",
"Adrian",
""
]
] | Imitation learning (IL) is a popular paradigm for training policies in robotic systems when specifying the reward function is difficult. However, despite the success of IL algorithms, they impose the somewhat unrealistic requirement that the expert demonstrations must come from the same domain in which a new imitator p... |
2205.10872 | Usman Mahmood | Usman Mahmood and Daniel Pimentel-Alarc\'on | Fusion Subspace Clustering for Incomplete Data | Accepted at IJCNN 2022. arXiv admin note: substantial text overlap
with arXiv:1808.00628 | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | This paper introduces {\em fusion subspace clustering}, a novel method to
learn low-dimensional structures that approximate large scale yet highly
incomplete data. The main idea is to assign each datum to a subspace of its
own, and minimize the distance between the subspaces of all data, so that
subspaces of the same... | [
{
"created": "Sun, 22 May 2022 17:23:41 GMT",
"version": "v1"
}
] | 2022-05-24 | [
[
"Mahmood",
"Usman",
""
],
[
"Pimentel-Alarcón",
"Daniel",
""
]
] | This paper introduces {\em fusion subspace clustering}, a novel method to learn low-dimensional structures that approximate large scale yet highly incomplete data. The main idea is to assign each datum to a subspace of its own, and minimize the distance between the subspaces of all data, so that subspaces of the same c... |
2308.05731 | Marcel Hallgarten | Steffen Hagedorn, Marcel Hallgarten, Martin Stoll, Alexandru
Condurache | Rethinking the Integration of Prediction and Planning in Deep
Learning-Based Automated Driving Systems: A Review | null | null | null | null | cs.RO cs.AI cs.CV cs.LG cs.MA | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Automated driving has the potential to revolutionize personal, public, and
freight mobility. Beside accurately perceiving the environment, automated
vehicles must plan a safe, comfortable, and efficient motion trajectory. To
promote safety and progress, many works rely on modules that predict the future
motion of sur... | [
{
"created": "Thu, 10 Aug 2023 17:53:03 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Jul 2024 09:35:26 GMT",
"version": "v2"
}
] | 2024-07-18 | [
[
"Hagedorn",
"Steffen",
""
],
[
"Hallgarten",
"Marcel",
""
],
[
"Stoll",
"Martin",
""
],
[
"Condurache",
"Alexandru",
""
]
] | Automated driving has the potential to revolutionize personal, public, and freight mobility. Beside accurately perceiving the environment, automated vehicles must plan a safe, comfortable, and efficient motion trajectory. To promote safety and progress, many works rely on modules that predict the future motion of surro... |
1906.06821 | Shiliang Sun | Shiliang Sun, Zehui Cao, Han Zhu, and Jing Zhao | A Survey of Optimization Methods from a Machine Learning Perspective | null | null | null | null | cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine learning develops rapidly, which has made many theoretical
breakthroughs and is widely applied in various fields. Optimization, as an
important part of machine learning, has attracted much attention of
researchers. With the exponential growth of data amount and the increase of
model complexity, optimization m... | [
{
"created": "Mon, 17 Jun 2019 02:54:51 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Oct 2019 08:26:31 GMT",
"version": "v2"
}
] | 2019-10-24 | [
[
"Sun",
"Shiliang",
""
],
[
"Cao",
"Zehui",
""
],
[
"Zhu",
"Han",
""
],
[
"Zhao",
"Jing",
""
]
] | Machine learning develops rapidly, which has made many theoretical breakthroughs and is widely applied in various fields. Optimization, as an important part of machine learning, has attracted much attention of researchers. With the exponential growth of data amount and the increase of model complexity, optimization met... |
2309.08849 | Yu Zhang | Yu Zhang, Yongxiang Zou, Haoyu Zhang, Xiuze Xia and Long Cheng | Learning a Stable Dynamic System with a Lyapunov Energy Function for
Demonstratives Using Neural Networks | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Autonomous Dynamic System (DS)-based algorithms hold a pivotal and
foundational role in the field of Learning from Demonstration (LfD).
Nevertheless, they confront the formidable challenge of striking a delicate
balance between achieving precision in learning and ensuring the overall
stability of the system. In respo... | [
{
"created": "Sat, 16 Sep 2023 03:03:53 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Feb 2024 16:43:54 GMT",
"version": "v2"
},
{
"created": "Mon, 26 Feb 2024 06:20:40 GMT",
"version": "v3"
},
{
"created": "Tue, 5 Mar 2024 17:08:31 GMT",
"version": "v4"
},
{
"cr... | 2024-05-14 | [
[
"Zhang",
"Yu",
""
],
[
"Zou",
"Yongxiang",
""
],
[
"Zhang",
"Haoyu",
""
],
[
"Xia",
"Xiuze",
""
],
[
"Cheng",
"Long",
""
]
] | Autonomous Dynamic System (DS)-based algorithms hold a pivotal and foundational role in the field of Learning from Demonstration (LfD). Nevertheless, they confront the formidable challenge of striking a delicate balance between achieving precision in learning and ensuring the overall stability of the system. In respons... |
2406.15053 | Ishaan Watts | Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar
Swaminathan and Sunayana Sitaram | PARIKSHA : A Large-Scale Investigation of Human-LLM Evaluator Agreement
on Multilingual and Multi-Cultural Data | Work in progress | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Evaluation of multilingual Large Language Models (LLMs) is challenging due to
a variety of factors -- the lack of benchmarks with sufficient linguistic
diversity, contamination of popular benchmarks into LLM pre-training data and
the lack of local, cultural nuances in translated benchmarks. In this work, we
study hum... | [
{
"created": "Fri, 21 Jun 2024 11:00:38 GMT",
"version": "v1"
}
] | 2024-06-24 | [
[
"Watts",
"Ishaan",
""
],
[
"Gumma",
"Varun",
""
],
[
"Yadavalli",
"Aditya",
""
],
[
"Seshadri",
"Vivek",
""
],
[
"Swaminathan",
"Manohar",
""
],
[
"Sitaram",
"Sunayana",
""
]
] | Evaluation of multilingual Large Language Models (LLMs) is challenging due to a variety of factors -- the lack of benchmarks with sufficient linguistic diversity, contamination of popular benchmarks into LLM pre-training data and the lack of local, cultural nuances in translated benchmarks. In this work, we study human... |
2105.10282 | Mohsen Pourghasemian | Mohsen Pourghasemian, Mohammad Reza Abedi, Shima Salarhosseini, Nader
Mokari, Mohammad Reza Javan, Eduard A. Jorswieck | AI-Based and Mobility-Aware Energy Efficient Resource Allocation and
Trajectory Design for NFV Enabled Aerial Networks | null | null | null | null | cs.NI eess.SP | http://creativecommons.org/licenses/by/4.0/ | In this paper, we propose a novel joint intelligent trajectory design and
resource allocation algorithm based on user's mobility and their requested
services for unmanned aerial vehicles (UAVs) assisted networks, where UAVs act
as nodes of a network function virtualization (NFV) enabled network. Our
objective is to m... | [
{
"created": "Fri, 21 May 2021 11:13:06 GMT",
"version": "v1"
}
] | 2021-05-24 | [
[
"Pourghasemian",
"Mohsen",
""
],
[
"Abedi",
"Mohammad Reza",
""
],
[
"Salarhosseini",
"Shima",
""
],
[
"Mokari",
"Nader",
""
],
[
"Javan",
"Mohammad Reza",
""
],
[
"Jorswieck",
"Eduard A.",
""
]
] | In this paper, we propose a novel joint intelligent trajectory design and resource allocation algorithm based on user's mobility and their requested services for unmanned aerial vehicles (UAVs) assisted networks, where UAVs act as nodes of a network function virtualization (NFV) enabled network. Our objective is to max... |
1801.09029 | Shahram Shahsavari | Shahram Shahsavari, S. Amir Hosseini, Chris Ng, and Elza Erkip | Adaptive Hybrid Beamforming with Massive Phased Arrays in Macro-Cellular
Networks | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hybrid beamforming via large antenna arrays has shown a great potential for
increasing data rate in cellular networks by delivering multiple data streams
simultaneously. In this paper, several beamforming design algorithms are
proposed based on the long-term channel information for macro-cellular
environments where t... | [
{
"created": "Sat, 27 Jan 2018 03:38:34 GMT",
"version": "v1"
},
{
"created": "Sat, 3 Feb 2018 23:36:20 GMT",
"version": "v2"
}
] | 2018-02-06 | [
[
"Shahsavari",
"Shahram",
""
],
[
"Hosseini",
"S. Amir",
""
],
[
"Ng",
"Chris",
""
],
[
"Erkip",
"Elza",
""
]
] | Hybrid beamforming via large antenna arrays has shown a great potential for increasing data rate in cellular networks by delivering multiple data streams simultaneously. In this paper, several beamforming design algorithms are proposed based on the long-term channel information for macro-cellular environments where the... |
2407.13483 | Hao Lu | Yujia Liang, Zixuan Ye, Wenze Liu, Hao Lu | SCAPE: A Simple and Strong Category-Agnostic Pose Estimator | Accepted to ECCV 2024. Code is available at
https://github.com/tiny-smart/SCAPE | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Category-Agnostic Pose Estimation (CAPE) aims to localize keypoints on an
object of any category given few exemplars in an in-context manner. Prior arts
involve sophisticated designs, e.g., sundry modules for similarity calculation
and a two-stage framework, or takes in extra heatmap generation and
supervision. We no... | [
{
"created": "Thu, 18 Jul 2024 13:02:57 GMT",
"version": "v1"
}
] | 2024-07-19 | [
[
"Liang",
"Yujia",
""
],
[
"Ye",
"Zixuan",
""
],
[
"Liu",
"Wenze",
""
],
[
"Lu",
"Hao",
""
]
] | Category-Agnostic Pose Estimation (CAPE) aims to localize keypoints on an object of any category given few exemplars in an in-context manner. Prior arts involve sophisticated designs, e.g., sundry modules for similarity calculation and a two-stage framework, or takes in extra heatmap generation and supervision. We noti... |
2106.14943 | Pu Zhao | Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Bin Ren, Yanzhi Wang, Xue Lin | Achieving Real-Time Object Detection on MobileDevices with Neural
Pruning Search | Presented on the HiPEAC 2021 workshop (cogarch 2021) | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | Object detection plays an important role in self-driving cars for security
development. However, mobile systems on self-driving cars with limited
computation resources lead to difficulties for object detection. To facilitate
this, we propose a compiler-aware neural pruning search framework to achieve
high-speed infer... | [
{
"created": "Mon, 28 Jun 2021 18:59:20 GMT",
"version": "v1"
}
] | 2021-06-30 | [
[
"Zhao",
"Pu",
""
],
[
"Niu",
"Wei",
""
],
[
"Yuan",
"Geng",
""
],
[
"Cai",
"Yuxuan",
""
],
[
"Ren",
"Bin",
""
],
[
"Wang",
"Yanzhi",
""
],
[
"Lin",
"Xue",
""
]
] | Object detection plays an important role in self-driving cars for security development. However, mobile systems on self-driving cars with limited computation resources lead to difficulties for object detection. To facilitate this, we propose a compiler-aware neural pruning search framework to achieve high-speed inferen... |
2212.06714 | Wenshuo Li | Wenshuo Li | CNN-transformer mixed model for object detection | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Object detection, one of the three main tasks of computer vision, has been
used in various applications. The main process is to use deep neural networks
to extract the features of an image and then use the features to identify the
class and location of an object. Therefore, the main direction to improve the
accuracy ... | [
{
"created": "Tue, 13 Dec 2022 16:35:35 GMT",
"version": "v1"
}
] | 2022-12-14 | [
[
"Li",
"Wenshuo",
""
]
] | Object detection, one of the three main tasks of computer vision, has been used in various applications. The main process is to use deep neural networks to extract the features of an image and then use the features to identify the class and location of an object. Therefore, the main direction to improve the accuracy of... |
2108.13886 | Yanqiao Zhu | Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu | Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive
Learning | KDD Workshop on Deep Learning on Graphs: Method and Applications
(DLG@KDD 2021) | null | null | null | cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, heterogeneous Graph Neural Networks (GNNs) have become a de facto
model for analyzing HGs, while most of them rely on a relative large number of
labeled data. In this work, we investigate Contrastive Learning (CL), a key
component in self-supervised approaches, on HGs to alleviate the label scarcity
problem... | [
{
"created": "Tue, 31 Aug 2021 14:44:49 GMT",
"version": "v1"
}
] | 2021-09-01 | [
[
"Zhu",
"Yanqiao",
""
],
[
"Xu",
"Yichen",
""
],
[
"Cui",
"Hejie",
""
],
[
"Yang",
"Carl",
""
],
[
"Liu",
"Qiang",
""
],
[
"Wu",
"Shu",
""
]
] | Recently, heterogeneous Graph Neural Networks (GNNs) have become a de facto model for analyzing HGs, while most of them rely on a relative large number of labeled data. In this work, we investigate Contrastive Learning (CL), a key component in self-supervised approaches, on HGs to alleviate the label scarcity problem. ... |
2203.13716 | Muhammad Zaigham Zaheer | Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid,
Seung-Ik Lee | Stabilizing Adversarially Learned One-Class Novelty Detection Using
Pseudo Anomalies | This work has been submitted to the IEEE Transactions on Image
Processing for possible publication. Copyright may be transferred without
notice, after which this version may no longer be accessible | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Recently, anomaly scores have been formulated using reconstruction loss of
the adversarially learned generators and/or classification loss of
discriminators. Unavailability of anomaly examples in the training data makes
optimization of such networks challenging. Attributed to the adversarial
training, performance of ... | [
{
"created": "Fri, 25 Mar 2022 15:37:52 GMT",
"version": "v1"
}
] | 2022-03-28 | [
[
"Zaheer",
"Muhammad Zaigham",
""
],
[
"Lee",
"Jin Ha",
""
],
[
"Mahmood",
"Arif",
""
],
[
"Astrid",
"Marcella",
""
],
[
"Lee",
"Seung-Ik",
""
]
] | Recently, anomaly scores have been formulated using reconstruction loss of the adversarially learned generators and/or classification loss of discriminators. Unavailability of anomaly examples in the training data makes optimization of such networks challenging. Attributed to the adversarial training, performance of su... |
2108.10515 | Shan An | Shan An, Guangfu Che, Jinghao Guo, Haogang Zhu, Junjie Ye, Fangru
Zhou, Zhaoqi Zhu, Dong Wei, Aishan Liu, Wei Zhang | ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones | Accepted by ACM Multimedia 2021 | null | 10.1145/3474085.3481537 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Virtual try-on technology enables users to try various fashion items using
augmented reality and provides a convenient online shopping experience.
However, most previous works focus on the virtual try-on for clothes while
neglecting that for shoes, which is also a promising task. To this concern,
this work proposes a... | [
{
"created": "Tue, 24 Aug 2021 03:54:45 GMT",
"version": "v1"
}
] | 2021-08-25 | [
[
"An",
"Shan",
""
],
[
"Che",
"Guangfu",
""
],
[
"Guo",
"Jinghao",
""
],
[
"Zhu",
"Haogang",
""
],
[
"Ye",
"Junjie",
""
],
[
"Zhou",
"Fangru",
""
],
[
"Zhu",
"Zhaoqi",
""
],
[
"Wei",
"Dong",
... | Virtual try-on technology enables users to try various fashion items using augmented reality and provides a convenient online shopping experience. However, most previous works focus on the virtual try-on for clothes while neglecting that for shoes, which is also a promising task. To this concern, this work proposes a r... |
1901.10501 | Hao Wang | Hao Wang, Berk Ustun, Flavio P. Calmon | Repairing without Retraining: Avoiding Disparate Impact with
Counterfactual Distributions | null | null | null | null | cs.LG cs.CY cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When the performance of a machine learning model varies over groups defined
by sensitive attributes (e.g., gender or ethnicity), the performance disparity
can be expressed in terms of the probability distributions of the input and
output variables over each group. In this paper, we exploit this fact to reduce
the dis... | [
{
"created": "Tue, 29 Jan 2019 19:21:10 GMT",
"version": "v1"
},
{
"created": "Fri, 17 May 2019 15:42:11 GMT",
"version": "v2"
}
] | 2019-05-20 | [
[
"Wang",
"Hao",
""
],
[
"Ustun",
"Berk",
""
],
[
"Calmon",
"Flavio P.",
""
]
] | When the performance of a machine learning model varies over groups defined by sensitive attributes (e.g., gender or ethnicity), the performance disparity can be expressed in terms of the probability distributions of the input and output variables over each group. In this paper, we exploit this fact to reduce the dispa... |
2108.01612 | Saeideh Nabipour | Saeideh Nabipour, Javad Javidan, Majid Khorrami, Jila Azimzadeh | An Efficient Digital Watermarking Algorithm Based on DCT and BCH Error
Correcting Code | null | null | null | null | cs.MM cs.CR cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | Watermarking is a technique for hiding of data in a medium coverage so that
its presence is not detectable by a human eye and is recoverable only by the
authorized recipient. Two of the most important features of watermarked image
are transparency and robustness which are largely related to the security of
watermarki... | [
{
"created": "Tue, 3 Aug 2021 16:30:23 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Aug 2022 07:53:32 GMT",
"version": "v2"
},
{
"created": "Thu, 17 Nov 2022 14:43:31 GMT",
"version": "v3"
}
] | 2022-11-18 | [
[
"Nabipour",
"Saeideh",
""
],
[
"Javidan",
"Javad",
""
],
[
"Khorrami",
"Majid",
""
],
[
"Azimzadeh",
"Jila",
""
]
] | Watermarking is a technique for hiding of data in a medium coverage so that its presence is not detectable by a human eye and is recoverable only by the authorized recipient. Two of the most important features of watermarked image are transparency and robustness which are largely related to the security of watermarking... |
1805.02790 | Amy Tai | Amy Tai, Andrew Kryczka, Shobhit Kanaujia, Chris Petersen, Mikhail
Antonov, Muhammad Waliji, Kyle Jamieson, Michael J. Freedman, Asaf Cidon | Live Recovery of Bit Corruptions in Datacenter Storage Systems | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to its high performance and decreasing cost per bit, flash is becoming
the main storage medium in datacenters for hot data. However, flash endurance
is a perpetual problem, and due to technology trends, subsequent generations of
flash devices exhibit progressively shorter lifetimes before they experience
uncorrec... | [
{
"created": "Tue, 8 May 2018 00:58:10 GMT",
"version": "v1"
},
{
"created": "Wed, 9 May 2018 00:34:44 GMT",
"version": "v2"
}
] | 2018-05-10 | [
[
"Tai",
"Amy",
""
],
[
"Kryczka",
"Andrew",
""
],
[
"Kanaujia",
"Shobhit",
""
],
[
"Petersen",
"Chris",
""
],
[
"Antonov",
"Mikhail",
""
],
[
"Waliji",
"Muhammad",
""
],
[
"Jamieson",
"Kyle",
""
],
[
... | Due to its high performance and decreasing cost per bit, flash is becoming the main storage medium in datacenters for hot data. However, flash endurance is a perpetual problem, and due to technology trends, subsequent generations of flash devices exhibit progressively shorter lifetimes before they experience uncorrecta... |
1603.04037 | Umar Iqbal | Umar Iqbal, Martin Garbade, Juergen Gall | Pose for Action - Action for Pose | Accepted to FG-2017 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we propose to utilize information about human actions to improve
pose estimation in monocular videos. To this end, we present a pictorial
structure model that exploits high-level information about activities to
incorporate higher-order part dependencies by modeling action specific
appearance models and p... | [
{
"created": "Sun, 13 Mar 2016 15:09:35 GMT",
"version": "v1"
},
{
"created": "Fri, 10 Feb 2017 14:01:09 GMT",
"version": "v2"
}
] | 2017-02-13 | [
[
"Iqbal",
"Umar",
""
],
[
"Garbade",
"Martin",
""
],
[
"Gall",
"Juergen",
""
]
] | In this work we propose to utilize information about human actions to improve pose estimation in monocular videos. To this end, we present a pictorial structure model that exploits high-level information about activities to incorporate higher-order part dependencies by modeling action specific appearance models and pos... |
1911.05055 | Brian Wandell | Fabian H. Reith and Brian A. Wandell | A convolutional neural network reaches optimal sensitivity for detecting
some, but not all, patterns | 22 pages, 8 figures, pre-print | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We investigate the performance of modern convolutional neural networks (CNN)
and a linear support vector machine (SVM) with respect to spatial contrast
sensitivity. Specifically, we compare CNN sensitivity to that of a Bayesian
ideal observer (IO) with the signal-known-exactly and noise known
statistically. A ResNet-... | [
{
"created": "Tue, 12 Nov 2019 18:26:02 GMT",
"version": "v1"
},
{
"created": "Sat, 22 Feb 2020 20:27:01 GMT",
"version": "v2"
},
{
"created": "Thu, 9 Jul 2020 17:49:59 GMT",
"version": "v3"
}
] | 2020-07-10 | [
[
"Reith",
"Fabian H.",
""
],
[
"Wandell",
"Brian A.",
""
]
] | We investigate the performance of modern convolutional neural networks (CNN) and a linear support vector machine (SVM) with respect to spatial contrast sensitivity. Specifically, we compare CNN sensitivity to that of a Bayesian ideal observer (IO) with the signal-known-exactly and noise known statistically. A ResNet-18... |
2103.05351 | Xiaoxi Wei | Xiaoxi Wei, Pablo Ortega and A. Aldo Faisal | Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding | Accepted manuscript IEEE/EMBS Neural Engineering (NER) 2021 | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Convolutional neural networks (CNNs) have become a powerful technique to
decode EEG and have become the benchmark for motor imagery EEG
Brain-Computer-Interface (BCI) decoding. However, it is still challenging to
train CNNs on multiple subjects' EEG without decreasing individual performance.
This is known as the nega... | [
{
"created": "Tue, 9 Mar 2021 11:01:02 GMT",
"version": "v1"
}
] | 2021-03-10 | [
[
"Wei",
"Xiaoxi",
""
],
[
"Ortega",
"Pablo",
""
],
[
"Faisal",
"A. Aldo",
""
]
] | Convolutional neural networks (CNNs) have become a powerful technique to decode EEG and have become the benchmark for motor imagery EEG Brain-Computer-Interface (BCI) decoding. However, it is still challenging to train CNNs on multiple subjects' EEG without decreasing individual performance. This is known as the negati... |
2312.00055 | Eadom Dessalene | Eadom Dessalene, Michael Maynord, Cornelia Ferm\"uller, and Yiannis
Aloimonos | LEAP: LLM-Generation of Egocentric Action Programs | Dataset:
https://drive.google.com/drive/folders/1Cpkw_TI1IIxXdzor0pOXG3rWJWuKU5Ex?usp=drive_link | null | null | null | cs.CV cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce LEAP (illustrated in Figure 1), a novel method for generating
video-grounded action programs through use of a Large Language Model (LLM).
These action programs represent the motoric, perceptual, and structural aspects
of action, and consist of sub-actions, pre- and post-conditions, and control
flows. LEA... | [
{
"created": "Wed, 29 Nov 2023 04:25:52 GMT",
"version": "v1"
}
] | 2023-12-04 | [
[
"Dessalene",
"Eadom",
""
],
[
"Maynord",
"Michael",
""
],
[
"Fermüller",
"Cornelia",
""
],
[
"Aloimonos",
"Yiannis",
""
]
] | We introduce LEAP (illustrated in Figure 1), a novel method for generating video-grounded action programs through use of a Large Language Model (LLM). These action programs represent the motoric, perceptual, and structural aspects of action, and consist of sub-actions, pre- and post-conditions, and control flows. LEAP'... |
1910.04953 | Chaitanya Mitash | Chaitanya Mitash, Bowen Wen, Kostas Bekris, and Abdeslam Boularias | Scene-level Pose Estimation for Multiple Instances of Densely Packed
Objects | To appear at the Conference on Robot Learning (CoRL) - 2019 | null | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces key machine learning operations that allow the
realization of robust, joint 6D pose estimation of multiple instances of
objects either densely packed or in unstructured piles from RGB-D data. The
first objective is to learn semantic and instance-boundary detectors without
manual labeling. An adv... | [
{
"created": "Fri, 11 Oct 2019 03:17:55 GMT",
"version": "v1"
}
] | 2019-10-14 | [
[
"Mitash",
"Chaitanya",
""
],
[
"Wen",
"Bowen",
""
],
[
"Bekris",
"Kostas",
""
],
[
"Boularias",
"Abdeslam",
""
]
] | This paper introduces key machine learning operations that allow the realization of robust, joint 6D pose estimation of multiple instances of objects either densely packed or in unstructured piles from RGB-D data. The first objective is to learn semantic and instance-boundary detectors without manual labeling. An adver... |
2007.09120 | Daniel Schneider | Daniel Schneider and Hannes Frey | Analytical Derivation of Outage Correlation in Random Media Access with
Application to Average Consensus in Wireless Networks: Extended Paper Version | This is the extended version of the paper "Analytical Derivation of
Outage Correlation in Random Media Access with Application to Average
Consensus in Wireless Networks", IEEE International Symposium on Personal,
Indoor and Mobile Radio Communications (PIMRC), 2020 | null | null | null | cs.IT cs.NI cs.SY eess.SY math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study a finite and fixed relative formation of possibly mobile wireless
networked nodes. The nodes apply average consensus to agree on a common value
like the formation's center. %Performance of consensus in terms of convergence
speed is affected by message losses due path loss and interference. We assume
framed s... | [
{
"created": "Fri, 17 Jul 2020 17:19:30 GMT",
"version": "v1"
}
] | 2020-07-20 | [
[
"Schneider",
"Daniel",
""
],
[
"Frey",
"Hannes",
""
]
] | We study a finite and fixed relative formation of possibly mobile wireless networked nodes. The nodes apply average consensus to agree on a common value like the formation's center. %Performance of consensus in terms of convergence speed is affected by message losses due path loss and interference. We assume framed slo... |
2403.09933 | Xingyu Liu | Pragna Mannam, Xingyu Liu, Ding Zhao, Jean Oh, Nancy Pollard | Design and Control Co-Optimization for Automated Design Iteration of
Dexterous Anthropomorphic Soft Robotic Hands | null | IEEE-RAS International Conference on Soft Robotics (RoboSoft) 2024 | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We automate soft robotic hand design iteration by co-optimizing design and
control policy for dexterous manipulation skills in simulation. Our design
iteration pipeline combines genetic algorithms and policy transfer to learn
control policies for nearly 400 hand designs, testing grasp quality under
external force dis... | [
{
"created": "Fri, 15 Mar 2024 00:17:38 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Jun 2024 23:26:47 GMT",
"version": "v2"
}
] | 2024-06-27 | [
[
"Mannam",
"Pragna",
""
],
[
"Liu",
"Xingyu",
""
],
[
"Zhao",
"Ding",
""
],
[
"Oh",
"Jean",
""
],
[
"Pollard",
"Nancy",
""
]
] | We automate soft robotic hand design iteration by co-optimizing design and control policy for dexterous manipulation skills in simulation. Our design iteration pipeline combines genetic algorithms and policy transfer to learn control policies for nearly 400 hand designs, testing grasp quality under external force distu... |
2405.01301 | Angelo Feraudo | Angelo Feraudo, Andrea Garbugli, Paolo Bellavista | Controlling Communications Quality in V2V Platooning: a TSN-like
Slot-Based Scheduler Approach | 8 pages, WIP | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | Connected vehicles, facilitated by Vehicle-to-Vehicle (V2V) communications,
play a key role in enhancing road safety and traffic efficiency. However, V2V
communications primarily rely on wireless protocols, such as Wi-Fi, that
require additional collision avoidance mechanisms to better ensure bounded
latency and reli... | [
{
"created": "Thu, 2 May 2024 14:06:31 GMT",
"version": "v1"
}
] | 2024-05-03 | [
[
"Feraudo",
"Angelo",
""
],
[
"Garbugli",
"Andrea",
""
],
[
"Bellavista",
"Paolo",
""
]
] | Connected vehicles, facilitated by Vehicle-to-Vehicle (V2V) communications, play a key role in enhancing road safety and traffic efficiency. However, V2V communications primarily rely on wireless protocols, such as Wi-Fi, that require additional collision avoidance mechanisms to better ensure bounded latency and reliab... |
1903.00167 | Chul-Ho Lee | Chul-Ho Lee, Srinivas Tenneti, Do Young Eun | Transient Dynamics of Epidemic Spreading and Its Mitigation on Large
Networks | A conference version of this paper will appear in ACM MobiHoc 2019 | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we aim to understand the transient dynamics of a
susceptible-infected (SI) epidemic spreading process on a large network. The SI
model has been largely overlooked in the literature, while it is naturally a
better fit for modeling the malware propagation in early times when
patches/vaccines are not avai... | [
{
"created": "Fri, 1 Mar 2019 06:05:44 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Apr 2019 21:22:32 GMT",
"version": "v2"
},
{
"created": "Mon, 20 May 2019 12:18:31 GMT",
"version": "v3"
}
] | 2019-05-21 | [
[
"Lee",
"Chul-Ho",
""
],
[
"Tenneti",
"Srinivas",
""
],
[
"Eun",
"Do Young",
""
]
] | In this paper, we aim to understand the transient dynamics of a susceptible-infected (SI) epidemic spreading process on a large network. The SI model has been largely overlooked in the literature, while it is naturally a better fit for modeling the malware propagation in early times when patches/vaccines are not availa... |
1905.10889 | Andy Zaidman | Gemma Catolino and Fabio Palomba and Francesca Arcelli Fontana and
Andrea De Lucia and Andy Zaidman and Filomena Ferrucci | Improving Change Prediction Models with Code Smell-Related Information | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Code smells represent sub-optimal implementation choices applied by
developers when evolving software systems. The negative impact of code smells
has been widely investigated in the past: besides developers' productivity and
ability to comprehend source code, researchers empirically showed that the
presence of code s... | [
{
"created": "Sun, 26 May 2019 21:44:29 GMT",
"version": "v1"
}
] | 2019-05-28 | [
[
"Catolino",
"Gemma",
""
],
[
"Palomba",
"Fabio",
""
],
[
"Fontana",
"Francesca Arcelli",
""
],
[
"De Lucia",
"Andrea",
""
],
[
"Zaidman",
"Andy",
""
],
[
"Ferrucci",
"Filomena",
""
]
] | Code smells represent sub-optimal implementation choices applied by developers when evolving software systems. The negative impact of code smells has been widely investigated in the past: besides developers' productivity and ability to comprehend source code, researchers empirically showed that the presence of code sme... |
2405.18216 | Zezhou Yang | Zezhou Yang, Cuiyun Gao, Zhaoqiang Guo, Zhenhao Li, Kui Liu, Xin Xia,
Yuming Zhou | A Survey on Modern Code Review: Progresses, Challenges and Opportunities | 62 pages | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Over the past decade, modern code review (MCR) has been deemed as a crucial
practice of software quality assurance, which is applied to improve software
quality and transfer development knowledge within a software team. Despite its
importance, MCR is often a complicated and time-consuming activity for
practitioners. ... | [
{
"created": "Tue, 28 May 2024 14:20:38 GMT",
"version": "v1"
}
] | 2024-05-29 | [
[
"Yang",
"Zezhou",
""
],
[
"Gao",
"Cuiyun",
""
],
[
"Guo",
"Zhaoqiang",
""
],
[
"Li",
"Zhenhao",
""
],
[
"Liu",
"Kui",
""
],
[
"Xia",
"Xin",
""
],
[
"Zhou",
"Yuming",
""
]
] | Over the past decade, modern code review (MCR) has been deemed as a crucial practice of software quality assurance, which is applied to improve software quality and transfer development knowledge within a software team. Despite its importance, MCR is often a complicated and time-consuming activity for practitioners. In... |
1607.05142 | Matthias Gall\'e | Matthias Galle, Jean-Michel Renders, Guillaume Jacquet | Joint Event Detection and Entity Resolution: a Virtuous Cycle | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Clustering web documents has numerous applications, such as aggregating news
articles into meaningful events, detecting trends and hot topics on the Web,
preserving diversity in search results, etc. At the same time, the importance
of named entities and, in particular, the ability to recognize them and to
solve the a... | [
{
"created": "Mon, 18 Jul 2016 15:51:11 GMT",
"version": "v1"
}
] | 2016-07-19 | [
[
"Galle",
"Matthias",
""
],
[
"Renders",
"Jean-Michel",
""
],
[
"Jacquet",
"Guillaume",
""
]
] | Clustering web documents has numerous applications, such as aggregating news articles into meaningful events, detecting trends and hot topics on the Web, preserving diversity in search results, etc. At the same time, the importance of named entities and, in particular, the ability to recognize them and to solve the ass... |
2212.08755 | Aurelien Bouteiller | Aurelien Bouteiller and George Bosilca | Implicit Actions and Non-blocking Failure Recovery with MPI | Accepted in FTXS'22 https://sites.google.com/view/ftxs2022 | null | 10.1109/FTXS56515.2022.00009 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scientific applications have long embraced the MPI as the environment of
choice to execute on large distributed systems. The User-Level Failure
Mitigation (ULFM) specification extends the MPI standard to address resilience
and enable MPI applications to restore their communication capability after a
failure. This wor... | [
{
"created": "Fri, 16 Dec 2022 23:29:33 GMT",
"version": "v1"
}
] | 2023-01-27 | [
[
"Bouteiller",
"Aurelien",
""
],
[
"Bosilca",
"George",
""
]
] | Scientific applications have long embraced the MPI as the environment of choice to execute on large distributed systems. The User-Level Failure Mitigation (ULFM) specification extends the MPI standard to address resilience and enable MPI applications to restore their communication capability after a failure. This works... |
2312.08214 | Hamed Alizadeh Ghazijahani Dr. | Mahmoud Atashbar, Hamed Alizadeh Ghazijahani, Yong Liang Guan, Zhaojie
Yang | A Precoding for ORIS-Assisted MIMO Multi-User VLC System | 5 pages, 3 figures | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study a multi-user visible light communication (VLC) system
assisted with optical reflecting intelligent surface (ORIS). Joint precoding
and alignment matrices are designed to maximize the average
signal-to-interference plus noise ratio (SINR) criteria. Considering the
constraints of the constant me... | [
{
"created": "Wed, 13 Dec 2023 15:33:09 GMT",
"version": "v1"
}
] | 2023-12-14 | [
[
"Atashbar",
"Mahmoud",
""
],
[
"Ghazijahani",
"Hamed Alizadeh",
""
],
[
"Guan",
"Yong Liang",
""
],
[
"Yang",
"Zhaojie",
""
]
] | In this paper, we study a multi-user visible light communication (VLC) system assisted with optical reflecting intelligent surface (ORIS). Joint precoding and alignment matrices are designed to maximize the average signal-to-interference plus noise ratio (SINR) criteria. Considering the constraints of the constant mean... |
1507.07115 | Qingjiang Shi | Qingjiang Shi, Meisam Razavayan, Mingyi Hong, Zhi-Quan Luo | SINR Constrained Beamforming for a MIMO Multi-user Downlink System | 34 pages, 6 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Consider a multi-input multi-output (MIMO) downlink multi-user channel. A
well-studied problem in such system is the design of linear beamformers for
power minimization with the quality of service (QoS) constraints. The most
representative algorithms for solving this class of problems are the so-called
MMSE-SOCP algo... | [
{
"created": "Sat, 25 Jul 2015 16:21:23 GMT",
"version": "v1"
}
] | 2015-07-28 | [
[
"Shi",
"Qingjiang",
""
],
[
"Razavayan",
"Meisam",
""
],
[
"Hong",
"Mingyi",
""
],
[
"Luo",
"Zhi-Quan",
""
]
] | Consider a multi-input multi-output (MIMO) downlink multi-user channel. A well-studied problem in such system is the design of linear beamformers for power minimization with the quality of service (QoS) constraints. The most representative algorithms for solving this class of problems are the so-called MMSE-SOCP algori... |
2109.03292 | Vikram Voleti | David Kanaa and Vikram Voleti and Samira Ebrahimi Kahou and
Christopher Pal | Simple Video Generation using Neural ODEs | 8 pages, 4 figures, NeurIPS 2019 workshop | NeurIPS 2019 Workshop | null | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite having been studied to a great extent, the task of conditional
generation of sequences of frames, or videos, remains extremely challenging. It
is a common belief that a key step towards solving this task resides in
modelling accurately both spatial and temporal information in video signals. A
promising direct... | [
{
"created": "Tue, 7 Sep 2021 19:03:33 GMT",
"version": "v1"
}
] | 2021-09-09 | [
[
"Kanaa",
"David",
""
],
[
"Voleti",
"Vikram",
""
],
[
"Kahou",
"Samira Ebrahimi",
""
],
[
"Pal",
"Christopher",
""
]
] | Despite having been studied to a great extent, the task of conditional generation of sequences of frames, or videos, remains extremely challenging. It is a common belief that a key step towards solving this task resides in modelling accurately both spatial and temporal information in video signals. A promising directio... |
2004.04286 | Masoud Salehpour | Masoud Salehpour and Joseph G. Davis | The Effects of Different JSON Representations on Querying Knowledge
Graphs | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge Graphs (KGs) have emerged as the de-facto standard for modeling and
querying datasets with a graph-like structure in the Semantic Web domain. Our
focus is on the performance challenges associated with querying KGs. We
developed three informationally equivalent JSON-based representations for KGs,
namely, Sub... | [
{
"created": "Wed, 8 Apr 2020 22:37:39 GMT",
"version": "v1"
}
] | 2020-04-10 | [
[
"Salehpour",
"Masoud",
""
],
[
"Davis",
"Joseph G.",
""
]
] | Knowledge Graphs (KGs) have emerged as the de-facto standard for modeling and querying datasets with a graph-like structure in the Semantic Web domain. Our focus is on the performance challenges associated with querying KGs. We developed three informationally equivalent JSON-based representations for KGs, namely, Subje... |
1902.09584 | Wensheng Gan | Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh
Chao, and Philip S Yu | Beyond Frequency: Utility Mining with Varied Item-Specific Minimum
Utility | Under review in ACM Trans. on Data Science, 31 pages | ACM Transactions on Internet Technology, 2021 | 10.1145/3425498 | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Utility-oriented mining which integrates utility theory and data mining is a
useful tool for understanding economic consumer behavior. Traditional
algorithms for mining high-utility patterns (HUPs) applies a single/uniform
minimum high-utility threshold (minutil) to obtain the set of HUPs, but in some
real-life circu... | [
{
"created": "Mon, 25 Feb 2019 19:41:15 GMT",
"version": "v1"
}
] | 2021-04-01 | [
[
"Gan",
"Wensheng",
""
],
[
"Lin",
"Jerry Chun-Wei",
""
],
[
"Fournier-Viger",
"Philippe",
""
],
[
"Chao",
"Han-Chieh",
""
],
[
"Yu",
"Philip S",
""
]
] | Utility-oriented mining which integrates utility theory and data mining is a useful tool for understanding economic consumer behavior. Traditional algorithms for mining high-utility patterns (HUPs) applies a single/uniform minimum high-utility threshold (minutil) to obtain the set of HUPs, but in some real-life circums... |
1403.7380 | Nikolaos Kavvadias | Nikolaos Kavvadias | Generating and evaluating application-specific hardware extensions | 11 pages, 15 figures, 5 tables. An unpublished journal paper
presenting the YARDstick custom instruction generation environment | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern platform-based design involves the application-specific extension of
embedded processors to fit customer requirements. To accomplish this task, the
possibilities offered by recent custom/extensible processors for tuning their
instruction set and microarchitecture to the applications of interest have to
be expl... | [
{
"created": "Fri, 28 Mar 2014 14:06:17 GMT",
"version": "v1"
}
] | 2014-03-31 | [
[
"Kavvadias",
"Nikolaos",
""
]
] | Modern platform-based design involves the application-specific extension of embedded processors to fit customer requirements. To accomplish this task, the possibilities offered by recent custom/extensible processors for tuning their instruction set and microarchitecture to the applications of interest have to be exploi... |
1204.4498 | Martin Haenggi | Martin Haenggi | Diversity Loss due to Interference Correlation | 4 pages, 5 figures | null | null | null | cs.IT cs.NI math.IT math.PR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Interference in wireless systems is both temporally and spatially correlated.
Yet very little research has analyzed the effect of such correlation. Here we
focus on its impact on the diversity in Poisson networks with multi-antenna
receivers. Most work on multi-antenna communication does not consider
interference, an... | [
{
"created": "Thu, 19 Apr 2012 23:33:23 GMT",
"version": "v1"
}
] | 2012-04-23 | [
[
"Haenggi",
"Martin",
""
]
] | Interference in wireless systems is both temporally and spatially correlated. Yet very little research has analyzed the effect of such correlation. Here we focus on its impact on the diversity in Poisson networks with multi-antenna receivers. Most work on multi-antenna communication does not consider interference, and ... |
1509.00536 | Masashi Wakaiki Dr. | Masashi Wakaiki and Yutaka Yamamoto | Stabilization of continuous-time switched linear systems with quantized
output feedback | This journal-version paper is based on the conference paper
(arXiv:1403.4670) | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the problem of stabilizing continuous-time switched
linear systems with quantized output feedback. We assume that the observer and
the control gain are given for each mode. Also, the plant mode is known to the
controller and the quantizer. Extending the result in the non-switched case, we
deve... | [
{
"created": "Wed, 2 Sep 2015 01:21:59 GMT",
"version": "v1"
}
] | 2015-09-03 | [
[
"Wakaiki",
"Masashi",
""
],
[
"Yamamoto",
"Yutaka",
""
]
] | In this paper, we study the problem of stabilizing continuous-time switched linear systems with quantized output feedback. We assume that the observer and the control gain are given for each mode. Also, the plant mode is known to the controller and the quantizer. Extending the result in the non-switched case, we develo... |
2003.03819 | Yongxing Wang | Yongxing Wang, Peter K. Jimack, Mark A. Walkley and Olivier Pironneau | An energy stable one-field monolithic arbitrary Lagrangian-Eulerian
formulation for fluid-structure interaction | null | null | 10.1016/j.jfluidstructs.2020.103117 | null | cs.CE math.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this article we present a one-field monolithic finite element method in
the Arbitrary Lagrangian-Eulerian (ALE) formulation for Fluid-Structure
Interaction (FSI) problems. The method only solves for one velocity field in
the whole FSI domain, and it solves in a monolithic manner so that the fluid
solid interface c... | [
{
"created": "Sun, 8 Mar 2020 17:53:44 GMT",
"version": "v1"
}
] | 2020-08-26 | [
[
"Wang",
"Yongxing",
""
],
[
"Jimack",
"Peter K.",
""
],
[
"Walkley",
"Mark A.",
""
],
[
"Pironneau",
"Olivier",
""
]
] | In this article we present a one-field monolithic finite element method in the Arbitrary Lagrangian-Eulerian (ALE) formulation for Fluid-Structure Interaction (FSI) problems. The method only solves for one velocity field in the whole FSI domain, and it solves in a monolithic manner so that the fluid solid interface con... |
1808.06640 | Yanai Elazar | Yanai Elazar and Yoav Goldberg | Adversarial Removal of Demographic Attributes from Text Data | null | null | null | null | cs.CL cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in Representation Learning and Adversarial Training seem to
succeed in removing unwanted features from the learned representation. We show
that demographic information of authors is encoded in -- and can be recovered
from -- the intermediate representations learned by text-based neural
classifiers. Th... | [
{
"created": "Mon, 20 Aug 2018 18:20:01 GMT",
"version": "v1"
},
{
"created": "Sun, 2 Sep 2018 10:29:44 GMT",
"version": "v2"
}
] | 2018-09-05 | [
[
"Elazar",
"Yanai",
""
],
[
"Goldberg",
"Yoav",
""
]
] | Recent advances in Representation Learning and Adversarial Training seem to succeed in removing unwanted features from the learned representation. We show that demographic information of authors is encoded in -- and can be recovered from -- the intermediate representations learned by text-based neural classifiers. The ... |
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