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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2201.12673 | Marco Rasetto | Marco Rasetto, Qingzhou Wan, Himanshu Akolkar, Feng Xiong, Bertram Shi
and Ryad Benosman | Building time-surfaces by exploiting the complex volatility of an ECRAM
memristor | null | null | 10.1109/JETCAS.2023.3330832 | null | cs.ET | http://creativecommons.org/licenses/by/4.0/ | Memristors have emerged as a promising technology for efficient neuromorphic
architectures owing to their ability to act as programmable synapses, combining
processing and memory into a single device. Although they are most commonly
used for static encoding of synaptic weights, recent work has begun to
investigate th... | [
{
"created": "Sat, 29 Jan 2022 22:18:55 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Apr 2024 09:21:39 GMT",
"version": "v2"
}
] | 2024-04-16 | [
[
"Rasetto",
"Marco",
""
],
[
"Wan",
"Qingzhou",
""
],
[
"Akolkar",
"Himanshu",
""
],
[
"Xiong",
"Feng",
""
],
[
"Shi",
"Bertram",
""
],
[
"Benosman",
"Ryad",
""
]
] | Memristors have emerged as a promising technology for efficient neuromorphic architectures owing to their ability to act as programmable synapses, combining processing and memory into a single device. Although they are most commonly used for static encoding of synaptic weights, recent work has begun to investigate the ... |
1803.08601 | Carl Yang | Carl Yang, Aydin Buluc and John D. Owens | Design Principles for Sparse Matrix Multiplication on the GPU | 16 pages, 7 figures, International European Conference on Parallel
and Distributed Computing (Euro-Par) 2018 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We implement two novel algorithms for sparse-matrix dense-matrix
multiplication (SpMM) on the GPU. Our algorithms expect the sparse input in the
popular compressed-sparse-row (CSR) format and thus do not require expensive
format conversion. While previous SpMM work concentrates on thread-level
parallelism, we additio... | [
{
"created": "Thu, 22 Mar 2018 22:31:17 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Jun 2018 06:30:45 GMT",
"version": "v2"
}
] | 2018-06-13 | [
[
"Yang",
"Carl",
""
],
[
"Buluc",
"Aydin",
""
],
[
"Owens",
"John D.",
""
]
] | We implement two novel algorithms for sparse-matrix dense-matrix multiplication (SpMM) on the GPU. Our algorithms expect the sparse input in the popular compressed-sparse-row (CSR) format and thus do not require expensive format conversion. While previous SpMM work concentrates on thread-level parallelism, we additiona... |
1807.09224 | Pierre Augier | Pierre Augier, Ashwin Vishnu Mohanan, Cyrille Bonamy | FluidDyn: a Python open-source framework for research and teaching in
fluid dynamics | null | null | 10.5334/jors.237 | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | FluidDyn is a project to foster open-science and open-source in the fluid
dynamics community. It is thought of as a research project to channel
open-source dynamics, methods and tools to do science. We propose a set of
Python packages forming a framework to study fluid dynamics with different
methods, in particular l... | [
{
"created": "Tue, 3 Jul 2018 10:04:39 GMT",
"version": "v1"
}
] | 2019-04-10 | [
[
"Augier",
"Pierre",
""
],
[
"Mohanan",
"Ashwin Vishnu",
""
],
[
"Bonamy",
"Cyrille",
""
]
] | FluidDyn is a project to foster open-science and open-source in the fluid dynamics community. It is thought of as a research project to channel open-source dynamics, methods and tools to do science. We propose a set of Python packages forming a framework to study fluid dynamics with different methods, in particular lab... |
2302.11458 | Manuel Stoiber | Manuel Stoiber, Mariam Elsayed, Anne E. Reichert, Florian Steidle,
Dongheui Lee, Rudolph Triebel | Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object
Tracking | Submitted to IEEE/RSJ International Conference on Intelligent Robots | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In many applications of advanced robotic manipulation, six degrees of freedom
(6DoF) object pose estimates are continuously required. In this work, we
develop a multi-modality tracker that fuses information from visual appearance
and geometry to estimate object poses. The algorithm extends our previous
method ICG, wh... | [
{
"created": "Wed, 22 Feb 2023 15:53:00 GMT",
"version": "v1"
}
] | 2023-02-23 | [
[
"Stoiber",
"Manuel",
""
],
[
"Elsayed",
"Mariam",
""
],
[
"Reichert",
"Anne E.",
""
],
[
"Steidle",
"Florian",
""
],
[
"Lee",
"Dongheui",
""
],
[
"Triebel",
"Rudolph",
""
]
] | In many applications of advanced robotic manipulation, six degrees of freedom (6DoF) object pose estimates are continuously required. In this work, we develop a multi-modality tracker that fuses information from visual appearance and geometry to estimate object poses. The algorithm extends our previous method ICG, whic... |
2301.11313 | Ola Shorinw | Ola Shorinwa, Trevor Halsted, Javier Yu, Mac Schwager | Distributed Optimization Methods for Multi-Robot Systems: Part I -- A
Tutorial | null | null | null | null | cs.RO cs.MA | http://creativecommons.org/licenses/by/4.0/ | Distributed optimization provides a framework for deriving distributed
algorithms for a variety of multi-robot problems. This tutorial constitutes the
first part of a two-part series on distributed optimization applied to
multi-robot problems, which seeks to advance the application of distributed
optimization in robo... | [
{
"created": "Thu, 26 Jan 2023 18:52:07 GMT",
"version": "v1"
}
] | 2023-01-27 | [
[
"Shorinwa",
"Ola",
""
],
[
"Halsted",
"Trevor",
""
],
[
"Yu",
"Javier",
""
],
[
"Schwager",
"Mac",
""
]
] | Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on distributed optimization applied to multi-robot problems, which seeks to advance the application of distributed optimization in roboti... |
1902.09941 | Jian Zhang | Runsheng Zhang, jian zhang, Yaping Huang and Qi Zou | Unsupervised Part Mining for Fine-grained Image Classification | 10 pages,4 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fine-grained image classification remains challenging due to the large
intra-class variance and small inter-class variance. Since the subtle visual
differences are only in local regions of discriminative parts among
subcategories, part localization is a key issue for fine-grained image
classification. Most existing a... | [
{
"created": "Tue, 26 Feb 2019 14:04:58 GMT",
"version": "v1"
},
{
"created": "Thu, 31 Mar 2022 13:20:38 GMT",
"version": "v2"
}
] | 2022-04-01 | [
[
"Zhang",
"Runsheng",
""
],
[
"zhang",
"jian",
""
],
[
"Huang",
"Yaping",
""
],
[
"Zou",
"Qi",
""
]
] | Fine-grained image classification remains challenging due to the large intra-class variance and small inter-class variance. Since the subtle visual differences are only in local regions of discriminative parts among subcategories, part localization is a key issue for fine-grained image classification. Most existing app... |
2206.04667 | Zhirong Wu | Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin | Extreme Masking for Learning Instance and Distributed Visual
Representations | Accepted in TMLR | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The paper presents a scalable approach for learning spatially distributed
visual representations over individual tokens and a holistic instance
representation simultaneously. We use self-attention blocks to represent
spatially distributed tokens, followed by cross-attention blocks to aggregate
the holistic image inst... | [
{
"created": "Thu, 9 Jun 2022 17:59:43 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Mar 2023 09:51:25 GMT",
"version": "v2"
}
] | 2023-03-09 | [
[
"Wu",
"Zhirong",
""
],
[
"Lai",
"Zihang",
""
],
[
"Sun",
"Xiao",
""
],
[
"Lin",
"Stephen",
""
]
] | The paper presents a scalable approach for learning spatially distributed visual representations over individual tokens and a holistic instance representation simultaneously. We use self-attention blocks to represent spatially distributed tokens, followed by cross-attention blocks to aggregate the holistic image instan... |
2212.05420 | Mike Thelwall Prof | Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko
Makita, Paul Wilson, Jonathan Levitt | Terms in journal articles associating with high quality: Can qualitative
research be world-leading? | null | null | null | null | cs.DL | http://creativecommons.org/licenses/by/4.0/ | Purpose: Scholars often aim to conduct high quality research and their
success is judged primarily by peer reviewers. Research quality is difficult
for either group to identify, however, and misunderstandings can reduce the
efficiency of the scientific enterprise. In response, we use a novel term
association strategy... | [
{
"created": "Sun, 11 Dec 2022 06:12:31 GMT",
"version": "v1"
}
] | 2022-12-13 | [
[
"Thelwall",
"Mike",
""
],
[
"Kousha",
"Kayvan",
""
],
[
"Abdoli",
"Mahshid",
""
],
[
"Stuart",
"Emma",
""
],
[
"Makita",
"Meiko",
""
],
[
"Wilson",
"Paul",
""
],
[
"Levitt",
"Jonathan",
""
]
] | Purpose: Scholars often aim to conduct high quality research and their success is judged primarily by peer reviewers. Research quality is difficult for either group to identify, however, and misunderstandings can reduce the efficiency of the scientific enterprise. In response, we use a novel term association strategy t... |
2405.05853 | Zheming Zuo | Zheming Zuo, Joseph Smith, Jonathan Stonehouse, Boguslaw Obara | Robust and Explainable Fine-Grained Visual Classification with Transfer
Learning: A Dual-Carriageway Framework | Accepted in the IEEE/CVF Conference on Computer Vision and Pattern
Recognition (CVPR) 2024 workshop | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In the realm of practical fine-grained visual classification applications
rooted in deep learning, a common scenario involves training a model using a
pre-existing dataset. Subsequently, a new dataset becomes available, prompting
the desire to make a pivotal decision for achieving enhanced and leveraged
inference per... | [
{
"created": "Thu, 9 May 2024 15:41:10 GMT",
"version": "v1"
}
] | 2024-05-10 | [
[
"Zuo",
"Zheming",
""
],
[
"Smith",
"Joseph",
""
],
[
"Stonehouse",
"Jonathan",
""
],
[
"Obara",
"Boguslaw",
""
]
] | In the realm of practical fine-grained visual classification applications rooted in deep learning, a common scenario involves training a model using a pre-existing dataset. Subsequently, a new dataset becomes available, prompting the desire to make a pivotal decision for achieving enhanced and leveraged inference perfo... |
2210.09197 | Zhixue Zhao | Zhixue Zhao, George Chrysostomou, Kalina Bontcheva, Nikolaos Aletras | On the Impact of Temporal Concept Drift on Model Explanations | Accepted at EMNLP Findings 2022 | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Explanation faithfulness of model predictions in natural language processing
is typically evaluated on held-out data from the same temporal distribution as
the training data (i.e. synchronous settings). While model performance often
deteriorates due to temporal variation (i.e. temporal concept drift), it is
currently... | [
{
"created": "Mon, 17 Oct 2022 15:53:09 GMT",
"version": "v1"
}
] | 2022-10-18 | [
[
"Zhao",
"Zhixue",
""
],
[
"Chrysostomou",
"George",
""
],
[
"Bontcheva",
"Kalina",
""
],
[
"Aletras",
"Nikolaos",
""
]
] | Explanation faithfulness of model predictions in natural language processing is typically evaluated on held-out data from the same temporal distribution as the training data (i.e. synchronous settings). While model performance often deteriorates due to temporal variation (i.e. temporal concept drift), it is currently u... |
2303.02601 | Maria Lymperaiou | Theodoti Stoikou, Maria Lymperaiou, Giorgos Stamou | Knowledge-Based Counterfactual Queries for Visual Question Answering | null | AAAI MAKE 2023 | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Visual Question Answering (VQA) has been a popular task that combines vision
and language, with numerous relevant implementations in literature. Even though
there are some attempts that approach explainability and robustness issues in
VQA models, very few of them employ counterfactuals as a means of probing such
chal... | [
{
"created": "Sun, 5 Mar 2023 08:00:30 GMT",
"version": "v1"
}
] | 2024-05-06 | [
[
"Stoikou",
"Theodoti",
""
],
[
"Lymperaiou",
"Maria",
""
],
[
"Stamou",
"Giorgos",
""
]
] | Visual Question Answering (VQA) has been a popular task that combines vision and language, with numerous relevant implementations in literature. Even though there are some attempts that approach explainability and robustness issues in VQA models, very few of them employ counterfactuals as a means of probing such challe... |
2406.08101 | Qianli Wang | Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann, Sebastian
M\"oller | CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI
Systems | 4 pages, short paper | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Conversational explainable artificial intelligence (ConvXAI) systems based on
large language models (LLMs) have garnered significant interest from the
research community in natural language processing (NLP) and human-computer
interaction (HCI). Such systems can provide answers to user questions about
explanations in ... | [
{
"created": "Wed, 12 Jun 2024 11:27:10 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Jun 2024 03:16:47 GMT",
"version": "v2"
}
] | 2024-06-14 | [
[
"Wang",
"Qianli",
""
],
[
"Anikina",
"Tatiana",
""
],
[
"Feldhus",
"Nils",
""
],
[
"Ostermann",
"Simon",
""
],
[
"Möller",
"Sebastian",
""
]
] | Conversational explainable artificial intelligence (ConvXAI) systems based on large language models (LLMs) have garnered significant interest from the research community in natural language processing (NLP) and human-computer interaction (HCI). Such systems can provide answers to user questions about explanations in di... |
2209.07088 | Zhengming Zhou | Zhengming Zhou and Qiulei Dong | Self-distilled Feature Aggregation for Self-supervised Monocular Depth
Estimation | Accepted to ECCV 2022 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Self-supervised monocular depth estimation has received much attention
recently in computer vision. Most of the existing works in literature aggregate
multi-scale features for depth prediction via either straightforward
concatenation or element-wise addition, however, such feature aggregation
operations generally neg... | [
{
"created": "Thu, 15 Sep 2022 07:00:52 GMT",
"version": "v1"
}
] | 2022-09-16 | [
[
"Zhou",
"Zhengming",
""
],
[
"Dong",
"Qiulei",
""
]
] | Self-supervised monocular depth estimation has received much attention recently in computer vision. Most of the existing works in literature aggregate multi-scale features for depth prediction via either straightforward concatenation or element-wise addition, however, such feature aggregation operations generally negle... |
2311.13681 | Joo Chan Lee | Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park | Compact 3D Gaussian Representation for Radiance Field | Project page: http://maincold2.github.io/c3dgs/ | null | null | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural Radiance Fields (NeRFs) have demonstrated remarkable potential in
capturing complex 3D scenes with high fidelity. However, one persistent
challenge that hinders the widespread adoption of NeRFs is the computational
bottleneck due to the volumetric rendering. On the other hand, 3D Gaussian
splatting (3DGS) has ... | [
{
"created": "Wed, 22 Nov 2023 20:31:16 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Feb 2024 13:52:53 GMT",
"version": "v2"
}
] | 2024-02-16 | [
[
"Lee",
"Joo Chan",
""
],
[
"Rho",
"Daniel",
""
],
[
"Sun",
"Xiangyu",
""
],
[
"Ko",
"Jong Hwan",
""
],
[
"Park",
"Eunbyung",
""
]
] | Neural Radiance Fields (NeRFs) have demonstrated remarkable potential in capturing complex 3D scenes with high fidelity. However, one persistent challenge that hinders the widespread adoption of NeRFs is the computational bottleneck due to the volumetric rendering. On the other hand, 3D Gaussian splatting (3DGS) has re... |
2006.02903 | Pengzhen Ren | Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li,
Xiaojiang Chen, and Xin Wang | A Comprehensive Survey of Neural Architecture Search: Challenges and
Solutions | Accepted by ACM Computing Surveys 2021 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning has made breakthroughs and substantial in many fields due to
its powerful automatic representation capabilities. It has been proven that
neural architecture design is crucial to the feature representation of data and
the final performance. However, the design of the neural architecture heavily
relies on... | [
{
"created": "Mon, 1 Jun 2020 13:08:03 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Jan 2021 03:56:19 GMT",
"version": "v2"
},
{
"created": "Tue, 2 Mar 2021 08:35:02 GMT",
"version": "v3"
}
] | 2021-03-03 | [
[
"Ren",
"Pengzhen",
""
],
[
"Xiao",
"Yun",
""
],
[
"Chang",
"Xiaojun",
""
],
[
"Huang",
"Po-Yao",
""
],
[
"Li",
"Zhihui",
""
],
[
"Chen",
"Xiaojiang",
""
],
[
"Wang",
"Xin",
""
]
] | Deep learning has made breakthroughs and substantial in many fields due to its powerful automatic representation capabilities. It has been proven that neural architecture design is crucial to the feature representation of data and the final performance. However, the design of the neural architecture heavily relies on t... |
2406.17714 | Purva Pruthi | Purva Pruthi and David Jensen | Compositional Models for Estimating Causal Effects | null | null | null | null | cs.AI cs.LG stat.ME | http://creativecommons.org/licenses/by/4.0/ | Many real-world systems can be represented as sets of interacting components.
Examples of such systems include computational systems such as query
processors, natural systems such as cells, and social systems such as families.
Many approaches have been proposed in traditional (associational) machine
learning to model... | [
{
"created": "Tue, 25 Jun 2024 16:56:17 GMT",
"version": "v1"
}
] | 2024-06-26 | [
[
"Pruthi",
"Purva",
""
],
[
"Jensen",
"David",
""
]
] | Many real-world systems can be represented as sets of interacting components. Examples of such systems include computational systems such as query processors, natural systems such as cells, and social systems such as families. Many approaches have been proposed in traditional (associational) machine learning to model s... |
1711.08475 | Aleksander Cis{\l}ak | Aleksander Cis{\l}ak, Szymon Grabowski | Lightweight Fingerprints for Fast Approximate Keyword Matching Using
Bitwise Operations | 16 pages, 1 figure, 4 tables | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We aim to speed up approximate keyword matching by storing a lightweight,
fixed-size block of data for each string, called a fingerprint. These work in a
similar way to hash values; however, they can be also used for matching with
errors. They store information regarding symbol occurrences using individual
bits, and ... | [
{
"created": "Wed, 22 Nov 2017 19:13:08 GMT",
"version": "v1"
}
] | 2017-11-27 | [
[
"Cisłak",
"Aleksander",
""
],
[
"Grabowski",
"Szymon",
""
]
] | We aim to speed up approximate keyword matching by storing a lightweight, fixed-size block of data for each string, called a fingerprint. These work in a similar way to hash values; however, they can be also used for matching with errors. They store information regarding symbol occurrences using individual bits, and th... |
2206.12540 | David Munechika | David Munechika, Zijie J. Wang, Jack Reidy, Josh Rubin, Krishna Gade,
Krishnaram Kenthapadi, Duen Horng Chau | Visual Auditor: Interactive Visualization for Detection and
Summarization of Model Biases | null | null | null | null | cs.HC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As machine learning (ML) systems become increasingly widespread, it is
necessary to audit these systems for biases prior to their deployment. Recent
research has developed algorithms for effectively identifying intersectional
bias in the form of interpretable, underperforming subsets (or slices) of the
data. However,... | [
{
"created": "Sat, 25 Jun 2022 02:48:27 GMT",
"version": "v1"
}
] | 2022-06-28 | [
[
"Munechika",
"David",
""
],
[
"Wang",
"Zijie J.",
""
],
[
"Reidy",
"Jack",
""
],
[
"Rubin",
"Josh",
""
],
[
"Gade",
"Krishna",
""
],
[
"Kenthapadi",
"Krishnaram",
""
],
[
"Chau",
"Duen Horng",
""
]
] | As machine learning (ML) systems become increasingly widespread, it is necessary to audit these systems for biases prior to their deployment. Recent research has developed algorithms for effectively identifying intersectional bias in the form of interpretable, underperforming subsets (or slices) of the data. However, t... |
2008.04411 | Giuseppe Patane' | Giuseppe Patan\`e | Meshless Approximation and Helmholtz-Hodge Decomposition of Vector
Fields | null | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The analysis of vector fields is crucial for the understanding of several
physical phenomena, such as natural events (e.g., analysis of waves), diffusive
processes, electric and electromagnetic fields. While previous work has been
focused mainly on the analysis of 2D or 3D vector fields on volumes or
surfaces, we add... | [
{
"created": "Mon, 10 Aug 2020 20:58:47 GMT",
"version": "v1"
}
] | 2020-08-12 | [
[
"Patanè",
"Giuseppe",
""
]
] | The analysis of vector fields is crucial for the understanding of several physical phenomena, such as natural events (e.g., analysis of waves), diffusive processes, electric and electromagnetic fields. While previous work has been focused mainly on the analysis of 2D or 3D vector fields on volumes or surfaces, we addre... |
2402.09760 | Hongjin Qian | Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou | Grounding Language Model with Chunking-Free In-Context Retrieval | null | null | null | null | cs.CL cs.AI cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a novel Chunking-Free In-Context (CFIC) retrieval
approach, specifically tailored for Retrieval-Augmented Generation (RAG)
systems. Traditional RAG systems often struggle with grounding responses using
precise evidence text due to the challenges of processing lengthy documents and
filtering out ir... | [
{
"created": "Thu, 15 Feb 2024 07:22:04 GMT",
"version": "v1"
}
] | 2024-02-16 | [
[
"Qian",
"Hongjin",
""
],
[
"Liu",
"Zheng",
""
],
[
"Mao",
"Kelong",
""
],
[
"Zhou",
"Yujia",
""
],
[
"Dou",
"Zhicheng",
""
]
] | This paper presents a novel Chunking-Free In-Context (CFIC) retrieval approach, specifically tailored for Retrieval-Augmented Generation (RAG) systems. Traditional RAG systems often struggle with grounding responses using precise evidence text due to the challenges of processing lengthy documents and filtering out irre... |
1903.09030 | Juan Maro\~nas | Juan Maro\~nas, Roberto Paredes, Daniel Ramos | Generative Models For Deep Learning with Very Scarce Data | null | null | 10.1007/978-3-030-13469-3_3 | null | cs.LG stat.ML | http://creativecommons.org/publicdomain/zero/1.0/ | The goal of this paper is to deal with a data scarcity scenario where deep
learning techniques use to fail. We compare the use of two well established
techniques, Restricted Boltzmann Machines and Variational Auto-encoders, as
generative models in order to increase the training set in a classification
framework. Esse... | [
{
"created": "Thu, 21 Mar 2019 14:38:45 GMT",
"version": "v1"
}
] | 2020-03-02 | [
[
"Maroñas",
"Juan",
""
],
[
"Paredes",
"Roberto",
""
],
[
"Ramos",
"Daniel",
""
]
] | The goal of this paper is to deal with a data scarcity scenario where deep learning techniques use to fail. We compare the use of two well established techniques, Restricted Boltzmann Machines and Variational Auto-encoders, as generative models in order to increase the training set in a classification framework. Essent... |
cs/0006007 | Stephen Marsand | Stephen Marsland, Ulrich Nehmzow and Jonathan Shapiro | Novelty Detection on a Mobile Robot Using Habituation | 10 pages, 6 figures. In From Animals to Animats, The Sixth
International Conference on Simulation of Adaptive Behaviour, Paris, 2000 | null | null | null | cs.RO cs.NE nlin.AO | null | In this paper a novelty filter is introduced which allows a robot operating
in an un structured environment to produce a self-organised model of its
surroundings and to detect deviations from the learned model. The environment
is perceived using the rob ot's 16 sonar sensors. The algorithm produces a
novelty measure ... | [
{
"created": "Fri, 2 Jun 2000 12:33:13 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Marsland",
"Stephen",
""
],
[
"Nehmzow",
"Ulrich",
""
],
[
"Shapiro",
"Jonathan",
""
]
] | In this paper a novelty filter is introduced which allows a robot operating in an un structured environment to produce a self-organised model of its surroundings and to detect deviations from the learned model. The environment is perceived using the rob ot's 16 sonar sensors. The algorithm produces a novelty measure fo... |
2208.12125 | Yuci Han | Yuci Han, Jianli Wei, Alper Yilmaz | UAS Navigation in the Real World Using Visual Observation | null | null | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a novel end-to-end Unmanned Aerial System (UAS)
navigation approach for long-range visual navigation in the real world.
Inspired by dual-process visual navigation system of human's instinct:
environment understanding and landmark recognition, we formulate the UAS
navigation task into two same phas... | [
{
"created": "Thu, 25 Aug 2022 14:40:53 GMT",
"version": "v1"
}
] | 2022-08-26 | [
[
"Han",
"Yuci",
""
],
[
"Wei",
"Jianli",
""
],
[
"Yilmaz",
"Alper",
""
]
] | This paper presents a novel end-to-end Unmanned Aerial System (UAS) navigation approach for long-range visual navigation in the real world. Inspired by dual-process visual navigation system of human's instinct: environment understanding and landmark recognition, we formulate the UAS navigation task into two same phases... |
2112.01479 | Subarna Tripathi | Sourya Roy, Kyle Min, Subarna Tripathi, Tanaya Guha and Somdeb
Majumdar | Learning Spatial-Temporal Graphs for Active Speaker Detection | 10 pages | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We address the problem of active speaker detection through a new framework,
called SPELL, that learns long-range multimodal graphs to encode the
inter-modal relationship between audio and visual data. We cast active speaker
detection as a node classification task that is aware of longer-term
dependencies. We first co... | [
{
"created": "Thu, 2 Dec 2021 18:29:07 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Dec 2021 19:41:06 GMT",
"version": "v2"
}
] | 2021-12-07 | [
[
"Roy",
"Sourya",
""
],
[
"Min",
"Kyle",
""
],
[
"Tripathi",
"Subarna",
""
],
[
"Guha",
"Tanaya",
""
],
[
"Majumdar",
"Somdeb",
""
]
] | We address the problem of active speaker detection through a new framework, called SPELL, that learns long-range multimodal graphs to encode the inter-modal relationship between audio and visual data. We cast active speaker detection as a node classification task that is aware of longer-term dependencies. We first cons... |
2010.14244 | Dr. Vinita Jindal | Vinita Jindal and Punam Bedi | GMACO-P: GPU assisted Preemptive MACO algorithm for enabling Smart
Transportation | 13 pages | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vehicular Ad-hoc NETworks (VANETs) are developing at a very fast pace to
enable smart transportation in urban cities, by designing some mechanisms for
decreasing travel time for commuters by reducing congestion. Inefficient
Traffic signals and routing mechanisms are the major factors that contribute to
the increase o... | [
{
"created": "Tue, 27 Oct 2020 12:38:10 GMT",
"version": "v1"
}
] | 2020-10-28 | [
[
"Jindal",
"Vinita",
""
],
[
"Bedi",
"Punam",
""
]
] | Vehicular Ad-hoc NETworks (VANETs) are developing at a very fast pace to enable smart transportation in urban cities, by designing some mechanisms for decreasing travel time for commuters by reducing congestion. Inefficient Traffic signals and routing mechanisms are the major factors that contribute to the increase of ... |
2003.07383 | Jacopo Mauro | Michael Lienhardt, Ferruccio Damiani, Einar Broch Johnsen, Jacopo
Mauro | Lazy Product Discovery in Huge Configuration Spaces | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Highly-configurable software systems can have thousands of interdependent
configuration options across different subsystems. In the resulting
configuration space, discovering a valid product configuration for some
selected options can be complex and error prone. The configuration space can be
organized using a featur... | [
{
"created": "Mon, 16 Mar 2020 18:06:26 GMT",
"version": "v1"
}
] | 2020-03-18 | [
[
"Lienhardt",
"Michael",
""
],
[
"Damiani",
"Ferruccio",
""
],
[
"Johnsen",
"Einar Broch",
""
],
[
"Mauro",
"Jacopo",
""
]
] | Highly-configurable software systems can have thousands of interdependent configuration options across different subsystems. In the resulting configuration space, discovering a valid product configuration for some selected options can be complex and error prone. The configuration space can be organized using a feature ... |
1812.06300 | Patrick Spettel | Patrick Spettel and Hans-Georg Beyer | Analysis of the $(\mu/\mu_I,\lambda)$-$\sigma$-Self-Adaptation Evolution
Strategy with Repair by Projection Applied to a Conically Constrained Problem | This is a PREPRINT of an article submitted to IEEE Transactions On
Evolutionary Computation. It is currently under review. Due to size
limitations, this manuscript comprises figures with reduced resolution. 10
pages + supplementary material. Copyright 2018 IEEE. The work was supported
by the Austrian Science Fu... | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A theoretical performance analysis of the
$(\mu/\mu_I,\lambda)$-$\sigma$-Self-Adaptation Evolution Strategy
($\sigma$SA-ES) is presented considering a conically constrained problem.
Infeasible offspring are repaired using projection onto the boundary of the
feasibility region. Closed-form approximations are used for ... | [
{
"created": "Sat, 15 Dec 2018 14:48:40 GMT",
"version": "v1"
}
] | 2018-12-18 | [
[
"Spettel",
"Patrick",
""
],
[
"Beyer",
"Hans-Georg",
""
]
] | A theoretical performance analysis of the $(\mu/\mu_I,\lambda)$-$\sigma$-Self-Adaptation Evolution Strategy ($\sigma$SA-ES) is presented considering a conically constrained problem. Infeasible offspring are repaired using projection onto the boundary of the feasibility region. Closed-form approximations are used for th... |
1511.03524 | Buddhadeb Sau | B. Sau and S. Mukhopadhyaya and K. Mukhopadhyaya | MAINT: Localization of Mobile Sensors with Energy Control | null | null | null | null | cs.DC cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Localization is an important issue for Wireless Sensor Networks (WSN). A
mobile sensor may change its position rapidly and thus require localization
calls frequently. A localization may require network wide information and
increase traffic over the network. It dissipates valuable energy for message
communication. Thu... | [
{
"created": "Tue, 10 Nov 2015 07:22:10 GMT",
"version": "v1"
}
] | 2015-11-12 | [
[
"Sau",
"B.",
""
],
[
"Mukhopadhyaya",
"S.",
""
],
[
"Mukhopadhyaya",
"K.",
""
]
] | Localization is an important issue for Wireless Sensor Networks (WSN). A mobile sensor may change its position rapidly and thus require localization calls frequently. A localization may require network wide information and increase traffic over the network. It dissipates valuable energy for message communication. Thus ... |
2405.15863 | Chang Li | Chang Li, Ruoyu Wang, Lijuan Liu, Jun Du, Yixuan Sun, Zilu Guo,
Zhenrong Zhang, Yuan Jiang | Quality-aware Masked Diffusion Transformer for Enhanced Music Generation | null | null | null | null | cs.SD cs.AI eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, diffusion-based text-to-music (TTM) generation has gained
prominence, offering a novel approach to synthesizing musical content from
textual descriptions. Achieving high accuracy and diversity in this generation
process requires extensive, high-quality data, which often constitutes only a
fraction of... | [
{
"created": "Fri, 24 May 2024 18:09:27 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Li",
"Chang",
""
],
[
"Wang",
"Ruoyu",
""
],
[
"Liu",
"Lijuan",
""
],
[
"Du",
"Jun",
""
],
[
"Sun",
"Yixuan",
""
],
[
"Guo",
"Zilu",
""
],
[
"Zhang",
"Zhenrong",
""
],
[
"Jiang",
"Yuan",
""... | In recent years, diffusion-based text-to-music (TTM) generation has gained prominence, offering a novel approach to synthesizing musical content from textual descriptions. Achieving high accuracy and diversity in this generation process requires extensive, high-quality data, which often constitutes only a fraction of a... |
1310.1693 | Borhan Sanandaji | Borhan M. Sanandaji, He Hao, Kameshwar Poolla, and Tyrone L. Vincent | Improved Battery Models of an Aggregation of Thermostatically Controlled
Loads for Frequency Regulation | to appear in the 2014 American Control Conference - ACC | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently it has been shown that an aggregation of Thermostatically Controlled
Loads (TCLs) can be utilized to provide fast regulating reserve service for
power grids and the behavior of the aggregation can be captured by a stochastic
battery with dissipation. In this paper, we address two practical issues
associated ... | [
{
"created": "Mon, 7 Oct 2013 07:44:38 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Apr 2014 01:31:35 GMT",
"version": "v2"
}
] | 2014-04-09 | [
[
"Sanandaji",
"Borhan M.",
""
],
[
"Hao",
"He",
""
],
[
"Poolla",
"Kameshwar",
""
],
[
"Vincent",
"Tyrone L.",
""
]
] | Recently it has been shown that an aggregation of Thermostatically Controlled Loads (TCLs) can be utilized to provide fast regulating reserve service for power grids and the behavior of the aggregation can be captured by a stochastic battery with dissipation. In this paper, we address two practical issues associated wi... |
1509.06321 | Wojciech Samek | Wojciech Samek, Alexander Binder, Gr\'egoire Montavon, Sebastian Bach,
Klaus-Robert M\"uller | Evaluating the visualization of what a Deep Neural Network has learned | 13 pages, 8 Figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Neural Networks (DNNs) have demonstrated impressive performance in
complex machine learning tasks such as image classification or speech
recognition. However, due to their multi-layer nonlinear structure, they are
not transparent, i.e., it is hard to grasp what makes them arrive at a
particular classification or... | [
{
"created": "Mon, 21 Sep 2015 17:36:22 GMT",
"version": "v1"
}
] | 2015-09-22 | [
[
"Samek",
"Wojciech",
""
],
[
"Binder",
"Alexander",
""
],
[
"Montavon",
"Grégoire",
""
],
[
"Bach",
"Sebastian",
""
],
[
"Müller",
"Klaus-Robert",
""
]
] | Deep Neural Networks (DNNs) have demonstrated impressive performance in complex machine learning tasks such as image classification or speech recognition. However, due to their multi-layer nonlinear structure, they are not transparent, i.e., it is hard to grasp what makes them arrive at a particular classification or r... |
2209.13792 | Gustavo Lacerda | Gustavo Cunha Lacerda, Raimundo Claudio da Silva Vasconcelos | A Machine Learning Approach for DeepFake Detection | 4 pages, accepted for presentation at the SIBGRAPI 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the spread of DeepFake techniques, this technology has become quite
accessible and good enough that there is concern about its malicious use. Faced
with this problem, detecting forged faces is of utmost importance to ensure
security and avoid socio-political problems, both on a global and private
scale. This pap... | [
{
"created": "Wed, 28 Sep 2022 02:46:04 GMT",
"version": "v1"
}
] | 2022-09-29 | [
[
"Lacerda",
"Gustavo Cunha",
""
],
[
"Vasconcelos",
"Raimundo Claudio da Silva",
""
]
] | With the spread of DeepFake techniques, this technology has become quite accessible and good enough that there is concern about its malicious use. Faced with this problem, detecting forged faces is of utmost importance to ensure security and avoid socio-political problems, both on a global and private scale. This paper... |
2305.03953 | Xu Chen | Xu Chen and Zida Cheng and Shuai Xiao and Xiaoyi Zeng and Weilin Huang | Cross-domain Augmentation Networks for Click-Through Rate Prediction | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data sparsity is an important issue for click-through rate (CTR) prediction,
particularly when user-item interactions is too sparse to learn a reliable
model. Recently, many works on cross-domain CTR (CDCTR) prediction have been
developed in an effort to leverage meaningful data from a related domain.
However, most e... | [
{
"created": "Sat, 6 May 2023 06:37:52 GMT",
"version": "v1"
},
{
"created": "Tue, 9 May 2023 08:43:29 GMT",
"version": "v2"
}
] | 2023-05-10 | [
[
"Chen",
"Xu",
""
],
[
"Cheng",
"Zida",
""
],
[
"Xiao",
"Shuai",
""
],
[
"Zeng",
"Xiaoyi",
""
],
[
"Huang",
"Weilin",
""
]
] | Data sparsity is an important issue for click-through rate (CTR) prediction, particularly when user-item interactions is too sparse to learn a reliable model. Recently, many works on cross-domain CTR (CDCTR) prediction have been developed in an effort to leverage meaningful data from a related domain. However, most exi... |
1406.2395 | Ines Dutra | Ezilda Almeida, Pedro Ferreira, Tiago Vinhoza, In\^es Dutra, Jingwei
Li, Yirong Wu, Elizabeth Burnside | ExpertBayes: Automatically refining manually built Bayesian networks | 14 pages | null | null | null | cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bayesian network structures are usually built using only the data and
starting from an empty network or from a naive Bayes structure. Very often, in
some domains, like medicine, a prior structure knowledge is already known. This
structure can be automatically or manually refined in search for better
performance model... | [
{
"created": "Tue, 10 Jun 2014 00:50:05 GMT",
"version": "v1"
}
] | 2014-06-11 | [
[
"Almeida",
"Ezilda",
""
],
[
"Ferreira",
"Pedro",
""
],
[
"Vinhoza",
"Tiago",
""
],
[
"Dutra",
"Inês",
""
],
[
"Li",
"Jingwei",
""
],
[
"Wu",
"Yirong",
""
],
[
"Burnside",
"Elizabeth",
""
]
] | Bayesian network structures are usually built using only the data and starting from an empty network or from a naive Bayes structure. Very often, in some domains, like medicine, a prior structure knowledge is already known. This structure can be automatically or manually refined in search for better performance models.... |
2011.05119 | Mostafa Khalaji | Mostafa Khalaji | TRSM-RS: A Movie Recommender System Based on Users' Gender and New
Weighted Similarity Measure | 11 pages, 17th Iran Media Technology Exhibition and Conference, At:
Tehran, Iran, November 2020 | null | null | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | With the growing data on the Internet, recommender systems have been able to
predict users' preferences and offer related movies. Collaborative filtering is
one of the most popular algorithms in these systems. The main purpose of
collaborative filtering is to find the users or the same items using the rating
matrix. ... | [
{
"created": "Tue, 10 Nov 2020 14:41:40 GMT",
"version": "v1"
}
] | 2020-11-11 | [
[
"Khalaji",
"Mostafa",
""
]
] | With the growing data on the Internet, recommender systems have been able to predict users' preferences and offer related movies. Collaborative filtering is one of the most popular algorithms in these systems. The main purpose of collaborative filtering is to find the users or the same items using the rating matrix. By... |
2403.08650 | Wentao Jiang | Wentao Jiang, Yige Zhang, Shaozhong Zheng, Si Liu, Shuicheng Yan | Data Augmentation in Human-Centric Vision | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This survey presents a comprehensive analysis of data augmentation techniques
in human-centric vision tasks, a first of its kind in the field. It delves into
a wide range of research areas including person ReID, human parsing, human pose
estimation, and pedestrian detection, addressing the significant challenges
pose... | [
{
"created": "Wed, 13 Mar 2024 16:05:18 GMT",
"version": "v1"
}
] | 2024-03-14 | [
[
"Jiang",
"Wentao",
""
],
[
"Zhang",
"Yige",
""
],
[
"Zheng",
"Shaozhong",
""
],
[
"Liu",
"Si",
""
],
[
"Yan",
"Shuicheng",
""
]
] | This survey presents a comprehensive analysis of data augmentation techniques in human-centric vision tasks, a first of its kind in the field. It delves into a wide range of research areas including person ReID, human parsing, human pose estimation, and pedestrian detection, addressing the significant challenges posed ... |
0904.3711 | Florentina Pintea | Mihai Timis | Output Width Signal Control In Asynchronous Digital Systems Using
External Clock Signal | 6 pages,exposed on 1st "European Conference on Computer Sciences &
Applications" - XA2006, Timisoara, Romania | Ann. Univ. Tibiscus Comp. Sci. Series IV (2006), 237-242 | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In present paper, I propose a method for resolving the timing delays for
output signals from an asynchronous sequential system. It will be used an
example of an asynchronous sequential system that will set up an output signal
when an input signal will be set up. The width of the output signal depends on
the input sig... | [
{
"created": "Thu, 23 Apr 2009 14:45:42 GMT",
"version": "v1"
}
] | 2009-04-24 | [
[
"Timis",
"Mihai",
""
]
] | In present paper, I propose a method for resolving the timing delays for output signals from an asynchronous sequential system. It will be used an example of an asynchronous sequential system that will set up an output signal when an input signal will be set up. The width of the output signal depends on the input signa... |
2307.02103 | Abdelhadi Soudi | Abdelhadi Soudi, Manal El Hakkaoui, Kristof Van Laerhoven | Do predictability factors towards signing avatars hold across cultures? | 5 pages, Proceedings of the ICASSP 2023 8th Workshop on Sign Language
Translation and Avatar Technology, Rhodes Island, Greece, June 10, 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Avatar technology can offer accessibility possibilities and improve the
Deaf-and-Hard of Hearing sign language users access to communication, education
and services, such as the healthcare system. However, sign language users
acceptance of signing avatars as well as their attitudes towards them vary and
depend on man... | [
{
"created": "Wed, 5 Jul 2023 08:22:46 GMT",
"version": "v1"
}
] | 2023-07-20 | [
[
"Soudi",
"Abdelhadi",
""
],
[
"Hakkaoui",
"Manal El",
""
],
[
"Van Laerhoven",
"Kristof",
""
]
] | Avatar technology can offer accessibility possibilities and improve the Deaf-and-Hard of Hearing sign language users access to communication, education and services, such as the healthcare system. However, sign language users acceptance of signing avatars as well as their attitudes towards them vary and depend on many ... |
1202.2759 | Alyson Fletcher | Alyson K. Fletcher and Sundeep Rangan | Iterative Reconstruction of Rank-One Matrices in Noise | 28 pages, 2 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of estimating a rank-one matrix in Gaussian noise
under a probabilistic model for the left and right factors of the matrix. The
probabilistic model can impose constraints on the factors including sparsity
and positivity that arise commonly in learning problems. We propose a family of
algorithm... | [
{
"created": "Mon, 13 Feb 2012 15:18:02 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Apr 2012 17:54:21 GMT",
"version": "v2"
},
{
"created": "Tue, 8 May 2012 04:06:04 GMT",
"version": "v3"
},
{
"created": "Tue, 15 Sep 2015 19:50:18 GMT",
"version": "v4"
}
] | 2015-09-16 | [
[
"Fletcher",
"Alyson K.",
""
],
[
"Rangan",
"Sundeep",
""
]
] | We consider the problem of estimating a rank-one matrix in Gaussian noise under a probabilistic model for the left and right factors of the matrix. The probabilistic model can impose constraints on the factors including sparsity and positivity that arise commonly in learning problems. We propose a family of algorithms ... |
2312.15313 | Haiwei Dong | Zijian Long, Haiwei Dong, and Abdulmotaleb El Saddik | Human-Centric Resource Allocation for the Metaverse With Multiaccess
Edge Computing | null | IEEE Internet of Things Journal, vol. 10, no. 22, pp. 19993-20005,
2023 | 10.1109/JIOT.2023.3283335 | null | cs.MM cs.AI cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-access edge computing (MEC) is a promising solution to the
computation-intensive, low-latency rendering tasks of the metaverse. However,
how to optimally allocate limited communication and computation resources at
the edge to a large number of users in the metaverse is quite challenging. In
this paper, we propo... | [
{
"created": "Sat, 23 Dec 2023 18:07:46 GMT",
"version": "v1"
}
] | 2023-12-27 | [
[
"Long",
"Zijian",
""
],
[
"Dong",
"Haiwei",
""
],
[
"Saddik",
"Abdulmotaleb El",
""
]
] | Multi-access edge computing (MEC) is a promising solution to the computation-intensive, low-latency rendering tasks of the metaverse. However, how to optimally allocate limited communication and computation resources at the edge to a large number of users in the metaverse is quite challenging. In this paper, we propose... |
1501.04797 | Sven Puchinger | Wenhui Li, Johan S. R. Nielsen, Sven Puchinger, Vladimir Sidorenko | Solving Shift Register Problems over Skew Polynomial Rings using Module
Minimisation | 10 pages, submitted to WCC 2015 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For many algebraic codes the main part of decoding can be reduced to a shift
register synthesis problem. In this paper we present an approach for solving
generalised shift register problems over skew polynomial rings which occur in
error and erasure decoding of $\ell$-Interleaved Gabidulin codes. The algorithm
is bas... | [
{
"created": "Tue, 20 Jan 2015 13:07:59 GMT",
"version": "v1"
}
] | 2015-01-21 | [
[
"Li",
"Wenhui",
""
],
[
"Nielsen",
"Johan S. R.",
""
],
[
"Puchinger",
"Sven",
""
],
[
"Sidorenko",
"Vladimir",
""
]
] | For many algebraic codes the main part of decoding can be reduced to a shift register synthesis problem. In this paper we present an approach for solving generalised shift register problems over skew polynomial rings which occur in error and erasure decoding of $\ell$-Interleaved Gabidulin codes. The algorithm is based... |
2210.14208 | Khasa Gillani | Khasa Gillani, Jorge Mart\'in P\'erez, Milan Groshev, Antonio de la
Oliva, Robert Gazda | Don't Let Me Down! Offloading Robot VFs Up to the Cloud | 5 Pages, 6 figures, submitted to 2023 IEEE 9th International
Conference on Network Softwarization (NetSoft) | null | null | null | cs.RO cs.NI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Recent trends in robotic services propose offloading robot functionalities to
the Edge to meet the strict latency requirements of networked robotics.
However, the Edge is typically an expensive resource and sometimes the Cloud is
also an option, thus, decreasing the cost. Following this idea, we propose
Don't Let Me ... | [
{
"created": "Tue, 25 Oct 2022 17:53:16 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Feb 2023 10:14:06 GMT",
"version": "v2"
},
{
"created": "Tue, 14 Feb 2023 15:19:03 GMT",
"version": "v3"
}
] | 2023-02-15 | [
[
"Gillani",
"Khasa",
""
],
[
"Pérez",
"Jorge Martín",
""
],
[
"Groshev",
"Milan",
""
],
[
"de la Oliva",
"Antonio",
""
],
[
"Gazda",
"Robert",
""
]
] | Recent trends in robotic services propose offloading robot functionalities to the Edge to meet the strict latency requirements of networked robotics. However, the Edge is typically an expensive resource and sometimes the Cloud is also an option, thus, decreasing the cost. Following this idea, we propose Don't Let Me Do... |
2102.07889 | Pei Wang | Arash Givchi, Pei Wang, Junqi Wang, Patrick Shafto | Distributionally-Constrained Policy Optimization via Unbalanced Optimal
Transport | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider constrained policy optimization in Reinforcement Learning, where
the constraints are in form of marginals on state visitations and global action
executions. Given these distributions, we formulate policy optimization as
unbalanced optimal transport over the space of occupancy measures. We propose a
genera... | [
{
"created": "Mon, 15 Feb 2021 23:04:37 GMT",
"version": "v1"
}
] | 2021-02-17 | [
[
"Givchi",
"Arash",
""
],
[
"Wang",
"Pei",
""
],
[
"Wang",
"Junqi",
""
],
[
"Shafto",
"Patrick",
""
]
] | We consider constrained policy optimization in Reinforcement Learning, where the constraints are in form of marginals on state visitations and global action executions. Given these distributions, we formulate policy optimization as unbalanced optimal transport over the space of occupancy measures. We propose a general ... |
2402.07872 | Brian Ichter | Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita
Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan
Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu,
Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian
Ichter | PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs | null | null | null | null | cs.RO cs.CL cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vision language models (VLMs) have shown impressive capabilities across a
variety of tasks, from logical reasoning to visual understanding. This opens
the door to richer interaction with the world, for example robotic control.
However, VLMs produce only textual outputs, while robotic control and other
spatial tasks r... | [
{
"created": "Mon, 12 Feb 2024 18:33:47 GMT",
"version": "v1"
}
] | 2024-02-13 | [
[
"Nasiriany",
"Soroush",
""
],
[
"Xia",
"Fei",
""
],
[
"Yu",
"Wenhao",
""
],
[
"Xiao",
"Ted",
""
],
[
"Liang",
"Jacky",
""
],
[
"Dasgupta",
"Ishita",
""
],
[
"Xie",
"Annie",
""
],
[
"Driess",
"Da... | Vision language models (VLMs) have shown impressive capabilities across a variety of tasks, from logical reasoning to visual understanding. This opens the door to richer interaction with the world, for example robotic control. However, VLMs produce only textual outputs, while robotic control and other spatial tasks req... |
2005.04986 | Yunjin Tong | Yunjin Tong, Shiying Xiong, Xingzhe He, Guanghan Pan, Bo Zhu | Symplectic Neural Networks in Taylor Series Form for Hamiltonian Systems | null | Journal of Computational Physics, p.110325 (2021) | 10.1016/j.jcp.2021.110325 | null | cs.LG math.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose an effective and lightweight learning algorithm, Symplectic Taylor
Neural Networks (Taylor-nets), to conduct continuous, long-term predictions of
a complex Hamiltonian dynamic system based on sparse, short-term observations.
At the heart of our algorithm is a novel neural network architecture consisting
of... | [
{
"created": "Mon, 11 May 2020 10:32:29 GMT",
"version": "v1"
},
{
"created": "Wed, 13 May 2020 05:10:17 GMT",
"version": "v2"
},
{
"created": "Thu, 8 Apr 2021 18:49:23 GMT",
"version": "v3"
},
{
"created": "Sun, 20 Feb 2022 01:20:28 GMT",
"version": "v4"
}
] | 2022-02-22 | [
[
"Tong",
"Yunjin",
""
],
[
"Xiong",
"Shiying",
""
],
[
"He",
"Xingzhe",
""
],
[
"Pan",
"Guanghan",
""
],
[
"Zhu",
"Bo",
""
]
] | We propose an effective and lightweight learning algorithm, Symplectic Taylor Neural Networks (Taylor-nets), to conduct continuous, long-term predictions of a complex Hamiltonian dynamic system based on sparse, short-term observations. At the heart of our algorithm is a novel neural network architecture consisting of t... |
2302.04899 | Dmitry Kazhdan | Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro
Barbiero, Mateja Jamnik, Pietro Lio | GCI: A (G)raph (C)oncept (I)nterpretation Framework | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Explainable AI (XAI) underwent a recent surge in research on concept
extraction, focusing on extracting human-interpretable concepts from Deep
Neural Networks. An important challenge facing concept extraction approaches is
the difficulty of interpreting and evaluating discovered concepts, especially
for complex tasks... | [
{
"created": "Thu, 9 Feb 2023 19:02:45 GMT",
"version": "v1"
}
] | 2023-02-13 | [
[
"Kazhdan",
"Dmitry",
""
],
[
"Dimanov",
"Botty",
""
],
[
"Magister",
"Lucie Charlotte",
""
],
[
"Barbiero",
"Pietro",
""
],
[
"Jamnik",
"Mateja",
""
],
[
"Lio",
"Pietro",
""
]
] | Explainable AI (XAI) underwent a recent surge in research on concept extraction, focusing on extracting human-interpretable concepts from Deep Neural Networks. An important challenge facing concept extraction approaches is the difficulty of interpreting and evaluating discovered concepts, especially for complex tasks s... |
2004.14084 | Yuki Nishida | Yuki Nishida and Atsushi Igarashi | Compilation of Coordinated Choice | null | null | null | null | cs.PL cs.LO | http://creativecommons.org/licenses/by/4.0/ | Recently, we have proposed coordinated choices, which are nondeterministic
choices equipped with names. The main characteristic of coordinated choices is
that they synchronize nondeterministic decision among choices of the same name.
The motivation of the synchronization mechanism is to solve a theoretical
problem.... | [
{
"created": "Wed, 29 Apr 2020 11:15:19 GMT",
"version": "v1"
}
] | 2020-05-05 | [
[
"Nishida",
"Yuki",
""
],
[
"Igarashi",
"Atsushi",
""
]
] | Recently, we have proposed coordinated choices, which are nondeterministic choices equipped with names. The main characteristic of coordinated choices is that they synchronize nondeterministic decision among choices of the same name. The motivation of the synchronization mechanism is to solve a theoretical problem. So,... |
1810.09270 | Rui Zhu | Rui Zhu and Di Niu | A Model Parallel Proximal Stochastic Gradient Algorithm for Partially
Asynchronous Systems | arXiv admin note: substantial text overlap with arXiv:1802.08880 | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Large models are prevalent in modern machine learning scenarios, including
deep learning, recommender systems, etc., which can have millions or even
billions of parameters. Parallel algorithms have become an essential solution
technique to many large-scale machine learning jobs. In this paper, we propose
a model para... | [
{
"created": "Fri, 19 Oct 2018 17:22:30 GMT",
"version": "v1"
}
] | 2018-10-23 | [
[
"Zhu",
"Rui",
""
],
[
"Niu",
"Di",
""
]
] | Large models are prevalent in modern machine learning scenarios, including deep learning, recommender systems, etc., which can have millions or even billions of parameters. Parallel algorithms have become an essential solution technique to many large-scale machine learning jobs. In this paper, we propose a model parall... |
2110.08477 | Jian Du | Yan Shen and Jian Du and Han Zhao and Benyu Zhang and Zhanghexuan Ji
and Mingchen Gao | FedMM: Saddle Point Optimization for Federated Adversarial Domain
Adaptation | 34 pages | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Federated adversary domain adaptation is a unique distributed minimax
training task due to the prevalence of label imbalance among clients, with each
client only seeing a subset of the classes of labels required to train a global
model. To tackle this problem, we propose a distributed minimax optimizer
referred to as... | [
{
"created": "Sat, 16 Oct 2021 05:32:03 GMT",
"version": "v1"
},
{
"created": "Sun, 24 Oct 2021 17:52:37 GMT",
"version": "v2"
},
{
"created": "Tue, 16 Nov 2021 03:36:08 GMT",
"version": "v3"
}
] | 2021-11-17 | [
[
"Shen",
"Yan",
""
],
[
"Du",
"Jian",
""
],
[
"Zhao",
"Han",
""
],
[
"Zhang",
"Benyu",
""
],
[
"Ji",
"Zhanghexuan",
""
],
[
"Gao",
"Mingchen",
""
]
] | Federated adversary domain adaptation is a unique distributed minimax training task due to the prevalence of label imbalance among clients, with each client only seeing a subset of the classes of labels required to train a global model. To tackle this problem, we propose a distributed minimax optimizer referred to as F... |
2102.10629 | Aaron Zimba | Aaron Zimba, Tozgani Fainess Mbale, Mumbi Chishimba, Mathews Chibuluma | Liberalisation of the International Gateway and Internet Development in
Zambia: The Genesis, Opportunities, Challenges, and Future Directions | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | Telecommunication reforms in Zambia and the subsequent liberalisation of the
international gateway was perceived as one of the means of promoting social and
economic growth in both the urban and rural areas of the country. The outcome
of this undertaking propelled the rapid development of Internet which has
evidently... | [
{
"created": "Sun, 21 Feb 2021 15:49:37 GMT",
"version": "v1"
}
] | 2021-02-23 | [
[
"Zimba",
"Aaron",
""
],
[
"Mbale",
"Tozgani Fainess",
""
],
[
"Chishimba",
"Mumbi",
""
],
[
"Chibuluma",
"Mathews",
""
]
] | Telecommunication reforms in Zambia and the subsequent liberalisation of the international gateway was perceived as one of the means of promoting social and economic growth in both the urban and rural areas of the country. The outcome of this undertaking propelled the rapid development of Internet which has evidently b... |
2109.01718 | Jing Ma | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani,
Joyce C. Ho | Communication Efficient Generalized Tensor Factorization for
Decentralized Healthcare Networks | Short version accepted to IEEE ICDM 2021 | null | null | null | cs.LG cs.DC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Tensor factorization has been proved as an efficient unsupervised learning
approach for health data analysis, especially for computational phenotyping,
where the high-dimensional Electronic Health Records (EHRs) with patients'
history of medical procedures, medications, diagnosis, lab tests, etc., are
converted to me... | [
{
"created": "Fri, 3 Sep 2021 19:47:08 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Nov 2022 06:15:31 GMT",
"version": "v2"
}
] | 2022-11-04 | [
[
"Ma",
"Jing",
""
],
[
"Zhang",
"Qiuchen",
""
],
[
"Lou",
"Jian",
""
],
[
"Xiong",
"Li",
""
],
[
"Bhavani",
"Sivasubramanium",
""
],
[
"Ho",
"Joyce C.",
""
]
] | Tensor factorization has been proved as an efficient unsupervised learning approach for health data analysis, especially for computational phenotyping, where the high-dimensional Electronic Health Records (EHRs) with patients' history of medical procedures, medications, diagnosis, lab tests, etc., are converted to mean... |
1908.11610 | Zhuoren Jiang | Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong
Liu | Cross-domain Aspect Category Transfer and Detection via Traceable
Heterogeneous Graph Representation Learning | Accepted as a full paper of The 28th ACM International Conference on
Information and Knowledge Management (CIKM '19) | null | 10.1145/3357384.3357989 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Aspect category detection is an essential task for sentiment analysis and
opinion mining. However, the cost of categorical data labeling, e.g., label the
review aspect information for a large number of product domains, can be
inevitable but unaffordable. In this study, we propose a novel problem,
cross-domain aspect ... | [
{
"created": "Fri, 30 Aug 2019 09:30:38 GMT",
"version": "v1"
}
] | 2019-09-02 | [
[
"Jiang",
"Zhuoren",
""
],
[
"Wang",
"Jian",
""
],
[
"Zhao",
"Lujun",
""
],
[
"Sun",
"Changlong",
""
],
[
"Lu",
"Yao",
""
],
[
"Liu",
"Xiaozhong",
""
]
] | Aspect category detection is an essential task for sentiment analysis and opinion mining. However, the cost of categorical data labeling, e.g., label the review aspect information for a large number of product domains, can be inevitable but unaffordable. In this study, we propose a novel problem, cross-domain aspect ca... |
1802.00912 | Zongwei Zhou | Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway,
Jianming Liang | Active, Continual Fine Tuning of Convolutional Neural Networks for
Reducing Annotation Efforts | null | null | 10.1016/j.media.2021.101997 | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The splendid success of convolutional neural networks (CNNs) in computer
vision is largely attributable to the availability of massive annotated
datasets, such as ImageNet and Places. However, in medical imaging, it is
challenging to create such large annotated datasets, as annotating medical
images is not only tedio... | [
{
"created": "Sat, 3 Feb 2018 05:01:17 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Feb 2018 02:13:28 GMT",
"version": "v2"
},
{
"created": "Sat, 23 May 2020 18:03:48 GMT",
"version": "v3"
},
{
"created": "Tue, 30 Mar 2021 00:19:51 GMT",
"version": "v4"
},
{
"cre... | 2021-04-13 | [
[
"Zhou",
"Zongwei",
""
],
[
"Shin",
"Jae Y.",
""
],
[
"Gurudu",
"Suryakanth R.",
""
],
[
"Gotway",
"Michael B.",
""
],
[
"Liang",
"Jianming",
""
]
] | The splendid success of convolutional neural networks (CNNs) in computer vision is largely attributable to the availability of massive annotated datasets, such as ImageNet and Places. However, in medical imaging, it is challenging to create such large annotated datasets, as annotating medical images is not only tedious... |
2201.09769 | Martin Bromberger | Martin Bromberger (1), Irina Dragoste (2), Rasha Faqeh (2), Christof
Fetzer (2), Larry Gonz\'alez (2), Markus Kr\"otzsch (2), Maximilian Marx (2),
Harish K Murali, (1 and 3), Christoph Weidenbach (1) ((1) Max Planck
Institute for Informatics, Saarland Informatics Campus, Saarbr\"ucken,
Germany, (2) TU Dresden, ... | A Sorted Datalog Hammer for Supervisor Verification Conditions Modulo
Simple Linear Arithmetic | 34 pages, to be published in the proceedings for TACAS 2022. arXiv
admin note: text overlap with arXiv:2107.03189 | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a previous paper, we have shown that clause sets belonging to the Horn
Bernays-Sch\"onfinkel fragment over simple linear real arithmetic (HBS(SLR))
can be translated into HBS clause sets over a finite set of first-order
constants. The translation preserves validity and satisfiability and it is
still applicable if ... | [
{
"created": "Mon, 24 Jan 2022 15:58:37 GMT",
"version": "v1"
}
] | 2022-01-25 | [
[
"Bromberger",
"Martin",
""
],
[
"Dragoste",
"Irina",
""
],
[
"Faqeh",
"Rasha",
""
],
[
"Fetzer",
"Christof",
""
],
[
"González",
"Larry",
""
],
[
"Krötzsch",
"Markus",
""
],
[
"Marx",
"Maximilian",
""
],
... | In a previous paper, we have shown that clause sets belonging to the Horn Bernays-Sch\"onfinkel fragment over simple linear real arithmetic (HBS(SLR)) can be translated into HBS clause sets over a finite set of first-order constants. The translation preserves validity and satisfiability and it is still applicable if we... |
2006.09645 | Atsuya Kobayashi | Atsuya Kobayashi, Reo Anzai, Nao Tokui | ExSampling: a system for the real-time ensemble performance of
field-recorded environmental sounds | The International Conference on New Interfaces for Musical Expression
2020 poster presentation. 4 pages | null | null | null | cs.HC cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | We propose ExSampling: an integrated system of recording application and Deep
Learning environment for a real-time music performance of environmental sounds
sampled by field recording. Automated sound mapping to Ableton Live tracks by
Deep Learning enables field recording to be applied to real-time performance,
and c... | [
{
"created": "Wed, 17 Jun 2020 04:07:13 GMT",
"version": "v1"
}
] | 2020-06-18 | [
[
"Kobayashi",
"Atsuya",
""
],
[
"Anzai",
"Reo",
""
],
[
"Tokui",
"Nao",
""
]
] | We propose ExSampling: an integrated system of recording application and Deep Learning environment for a real-time music performance of environmental sounds sampled by field recording. Automated sound mapping to Ableton Live tracks by Deep Learning enables field recording to be applied to real-time performance, and cre... |
1402.2941 | Zohaib Khan | Zohaib Khan, Faisal Shafait, Yiqun Hu, Ajmal Mian | Multispectral Palmprint Encoding and Recognition | Preliminary version of this manuscript was published in ICCV 2011. Z.
Khan A. Mian and Y. Hu, "Contour Code: Robust and Efficient Multispectral
Palmprint Encoding for Human Recognition", International Conference on
Computer Vision, 2011. MATLAB Code available:
https://sites.google.com/site/zohaibnet/Home/codes | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Palmprints are emerging as a new entity in multi-modal biometrics for human
identification and verification. Multispectral palmprint images captured in the
visible and infrared spectrum not only contain the wrinkles and ridge structure
of a palm, but also the underlying pattern of veins; making them a highly
discrimi... | [
{
"created": "Thu, 6 Feb 2014 06:35:51 GMT",
"version": "v1"
}
] | 2014-02-13 | [
[
"Khan",
"Zohaib",
""
],
[
"Shafait",
"Faisal",
""
],
[
"Hu",
"Yiqun",
""
],
[
"Mian",
"Ajmal",
""
]
] | Palmprints are emerging as a new entity in multi-modal biometrics for human identification and verification. Multispectral palmprint images captured in the visible and infrared spectrum not only contain the wrinkles and ridge structure of a palm, but also the underlying pattern of veins; making them a highly discrimina... |
1902.05718 | Justinas Miseikis | Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole
Jakob Elle, Jim Torresen | Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D
Joint Position Estimation in a 2D Camera Image using CNN | 6+n pages, ICRA 2019 submission | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Collaborative robots are becoming more common on factory floors as well as
regular environments, however, their safety still is not a fully solved issue.
Collision detection does not always perform as expected and collision avoidance
is still an active research area. Collision avoidance works well for fixed
robot-cam... | [
{
"created": "Fri, 15 Feb 2019 08:25:02 GMT",
"version": "v1"
}
] | 2019-02-18 | [
[
"Miseikis",
"Justinas",
""
],
[
"Brijacak",
"Inka",
""
],
[
"Yahyanejad",
"Saeed",
""
],
[
"Glette",
"Kyrre",
""
],
[
"Elle",
"Ole Jakob",
""
],
[
"Torresen",
"Jim",
""
]
] | Collaborative robots are becoming more common on factory floors as well as regular environments, however, their safety still is not a fully solved issue. Collision detection does not always perform as expected and collision avoidance is still an active research area. Collision avoidance works well for fixed robot-camer... |
2308.07496 | Yuqi Nie | Zepu Wang, Yuqi Nie, Peng Sun, Nam H. Nguyen, John Mulvey, H. Vincent
Poor | ST-MLP: A Cascaded Spatio-Temporal Linear Framework with
Channel-Independence Strategy for Traffic Forecasting | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The criticality of prompt and precise traffic forecasting in optimizing
traffic flow management in Intelligent Transportation Systems (ITS) has drawn
substantial scholarly focus. Spatio-Temporal Graph Neural Networks (STGNNs)
have been lauded for their adaptability to road graph structures. Yet, current
research on S... | [
{
"created": "Mon, 14 Aug 2023 23:34:59 GMT",
"version": "v1"
}
] | 2023-08-16 | [
[
"Wang",
"Zepu",
""
],
[
"Nie",
"Yuqi",
""
],
[
"Sun",
"Peng",
""
],
[
"Nguyen",
"Nam H.",
""
],
[
"Mulvey",
"John",
""
],
[
"Poor",
"H. Vincent",
""
]
] | The criticality of prompt and precise traffic forecasting in optimizing traffic flow management in Intelligent Transportation Systems (ITS) has drawn substantial scholarly focus. Spatio-Temporal Graph Neural Networks (STGNNs) have been lauded for their adaptability to road graph structures. Yet, current research on STG... |
2203.05782 | Michael Mozer | Shruthi Sukumar, Adrian F. Ward, Camden Elliott-Williams, Shabnam
Hakimi, Michael C. Mozer | Overcoming Temptation: Incentive Design For Intertemporal Choice | null | null | null | null | cs.LG q-bio.NC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Individuals are often faced with temptations that can lead them astray from
long-term goals. We're interested in developing interventions that steer
individuals toward making good initial decisions and then maintaining those
decisions over time. In the realm of financial decision making, a particularly
successful app... | [
{
"created": "Fri, 11 Mar 2022 07:42:07 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Mar 2022 04:47:31 GMT",
"version": "v2"
}
] | 2022-03-15 | [
[
"Sukumar",
"Shruthi",
""
],
[
"Ward",
"Adrian F.",
""
],
[
"Elliott-Williams",
"Camden",
""
],
[
"Hakimi",
"Shabnam",
""
],
[
"Mozer",
"Michael C.",
""
]
] | Individuals are often faced with temptations that can lead them astray from long-term goals. We're interested in developing interventions that steer individuals toward making good initial decisions and then maintaining those decisions over time. In the realm of financial decision making, a particularly successful appro... |
1509.07813 | Jacopo Baggio | Kehinde R. Salau, Jacopo A. Baggio, Marco A. Janssen, Joshua K.
Abbott, Eli P. Fenichel | Taking a moment to measure Networks - A hierarchical approach | Main Paper: 32 Pages, Suppl0Material: 9 pages | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network-theoretic tools contribute to understanding real-world system
dynamics, e.g., in wildlife conservation, epidemics, and power outages. Network
visualization helps illustrate structural heterogeneity; however, details about
heterogeneity are lost when summarizing networks with a single mean-style
measure. Resea... | [
{
"created": "Fri, 25 Sep 2015 18:00:01 GMT",
"version": "v1"
}
] | 2015-09-28 | [
[
"Salau",
"Kehinde R.",
""
],
[
"Baggio",
"Jacopo A.",
""
],
[
"Janssen",
"Marco A.",
""
],
[
"Abbott",
"Joshua K.",
""
],
[
"Fenichel",
"Eli P.",
""
]
] | Network-theoretic tools contribute to understanding real-world system dynamics, e.g., in wildlife conservation, epidemics, and power outages. Network visualization helps illustrate structural heterogeneity; however, details about heterogeneity are lost when summarizing networks with a single mean-style measure. Researc... |
2110.01774 | Uttaran Bhattacharya | Uttaran Bhattacharya and Gang Wu and Stefano Petrangeli and
Viswanathan Swaminathan and Dinesh Manocha | HighlightMe: Detecting Highlights from Human-Centric Videos | 10 pages, 5 figures, 5 tables. In Proceedings of the IEEE/CVF
International Conference on Computer Vision (ICCV), 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We present a domain- and user-preference-agnostic approach to detect
highlightable excerpts from human-centric videos. Our method works on the
graph-based representation of multiple observable human-centric modalities in
the videos, such as poses and faces. We use an autoencoder network equipped
with spatial-temporal... | [
{
"created": "Tue, 5 Oct 2021 01:18:15 GMT",
"version": "v1"
}
] | 2021-10-06 | [
[
"Bhattacharya",
"Uttaran",
""
],
[
"Wu",
"Gang",
""
],
[
"Petrangeli",
"Stefano",
""
],
[
"Swaminathan",
"Viswanathan",
""
],
[
"Manocha",
"Dinesh",
""
]
] | We present a domain- and user-preference-agnostic approach to detect highlightable excerpts from human-centric videos. Our method works on the graph-based representation of multiple observable human-centric modalities in the videos, such as poses and faces. We use an autoencoder network equipped with spatial-temporal g... |
2107.11817 | Fuzhao Xue | Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You | Go Wider Instead of Deeper | null | null | null | null | cs.LG cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | More transformer blocks with residual connections have recently achieved
impressive results on various tasks. To achieve better performance with fewer
trainable parameters, recent methods are proposed to go shallower by parameter
sharing or model compressing along with the depth. However, weak modeling
capacity limit... | [
{
"created": "Sun, 25 Jul 2021 14:44:24 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Jul 2021 10:17:23 GMT",
"version": "v2"
},
{
"created": "Tue, 7 Sep 2021 11:58:00 GMT",
"version": "v3"
}
] | 2021-09-08 | [
[
"Xue",
"Fuzhao",
""
],
[
"Shi",
"Ziji",
""
],
[
"Wei",
"Futao",
""
],
[
"Lou",
"Yuxuan",
""
],
[
"Liu",
"Yong",
""
],
[
"You",
"Yang",
""
]
] | More transformer blocks with residual connections have recently achieved impressive results on various tasks. To achieve better performance with fewer trainable parameters, recent methods are proposed to go shallower by parameter sharing or model compressing along with the depth. However, weak modeling capacity limits ... |
2011.11688 | Kenneth Joseph | Zijian An, Kenneth Joseph | An analysis of replies to Trump's tweets | Accepted at ICWSM'21 | null | null | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Donald Trump has tweeted thousands of times during his presidency. These
public statements are an increasingly important way through which Trump
communicates his political and personal views. A better understanding of the
way the American public consumes and responds to these tweets is therefore
critical. In the pres... | [
{
"created": "Mon, 23 Nov 2020 19:29:29 GMT",
"version": "v1"
}
] | 2020-11-25 | [
[
"An",
"Zijian",
""
],
[
"Joseph",
"Kenneth",
""
]
] | Donald Trump has tweeted thousands of times during his presidency. These public statements are an increasingly important way through which Trump communicates his political and personal views. A better understanding of the way the American public consumes and responds to these tweets is therefore critical. In the presen... |
2111.03977 | Robert Wilson | Robert L. Wilson, Daniel Browne, Jonathan Wagstaff, and Steve McGuire | A Virtual Reality Simulation Pipeline for Online Mental Workload
Modeling | 7 pages, 4 figures, and 1 table Currently under review as a
conference paper for IEEE VR 2022, v2 - Spelling Corrections | null | null | null | cs.HC cs.RO | http://creativecommons.org/licenses/by/4.0/ | Seamless human robot interaction (HRI) and cooperative human-robot (HR)
teaming critically rely upon accurate and timely human mental workload (MW)
models. Cognitive Load Theory (CLT) suggests representative physical
environments produce representative mental processes; physical environment
fidelity corresponds with ... | [
{
"created": "Sun, 7 Nov 2021 00:50:39 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Nov 2021 16:09:45 GMT",
"version": "v2"
}
] | 2021-11-25 | [
[
"Wilson",
"Robert L.",
""
],
[
"Browne",
"Daniel",
""
],
[
"Wagstaff",
"Jonathan",
""
],
[
"McGuire",
"Steve",
""
]
] | Seamless human robot interaction (HRI) and cooperative human-robot (HR) teaming critically rely upon accurate and timely human mental workload (MW) models. Cognitive Load Theory (CLT) suggests representative physical environments produce representative mental processes; physical environment fidelity corresponds with im... |
2404.17697 | Thomas Billington | Thomas Billington, Ansh Gwash, Aadi Kothari, Lucas Izquierdo, Timothy
Talty | Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled
Sensor Fusion | 6 pages, 5 figures | null | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the rapidly advancing landscape of connected and automated vehicles (CAV),
the integration of Vehicle-to-Everything (V2X) communication in traditional
fusion systems presents a promising avenue for enhancing vehicle perception.
Addressing current limitations with vehicle sensing, this paper proposes a
novel Vehicl... | [
{
"created": "Fri, 26 Apr 2024 20:54:44 GMT",
"version": "v1"
}
] | 2024-04-30 | [
[
"Billington",
"Thomas",
""
],
[
"Gwash",
"Ansh",
""
],
[
"Kothari",
"Aadi",
""
],
[
"Izquierdo",
"Lucas",
""
],
[
"Talty",
"Timothy",
""
]
] | In the rapidly advancing landscape of connected and automated vehicles (CAV), the integration of Vehicle-to-Everything (V2X) communication in traditional fusion systems presents a promising avenue for enhancing vehicle perception. Addressing current limitations with vehicle sensing, this paper proposes a novel Vehicle-... |
2312.15122 | Andreas Pasternak | Moritz Harmel, Anubhav Paras, Andreas Pasternak, Nicholas Roy, Gary
Linscott | Scaling Is All You Need: Autonomous Driving with JAX-Accelerated
Reinforcement Learning | null | null | null | null | cs.LG cs.AI cs.RO | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Reinforcement learning has been demonstrated to outperform even the best
humans in complex domains like video games. However, running reinforcement
learning experiments on the required scale for autonomous driving is extremely
difficult. Building a large scale reinforcement learning system and
distributing it across ... | [
{
"created": "Sat, 23 Dec 2023 00:07:06 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Feb 2024 00:07:19 GMT",
"version": "v2"
},
{
"created": "Thu, 8 Feb 2024 19:39:19 GMT",
"version": "v3"
}
] | 2024-02-12 | [
[
"Harmel",
"Moritz",
""
],
[
"Paras",
"Anubhav",
""
],
[
"Pasternak",
"Andreas",
""
],
[
"Roy",
"Nicholas",
""
],
[
"Linscott",
"Gary",
""
]
] | Reinforcement learning has been demonstrated to outperform even the best humans in complex domains like video games. However, running reinforcement learning experiments on the required scale for autonomous driving is extremely difficult. Building a large scale reinforcement learning system and distributing it across ma... |
2111.11703 | Taketo Akama | Taketo Akama | A Contextual Latent Space Model: Subsequence Modulation in Melodic
Sequence | 22nd International Society for Music Information Retrieval Conference
(ISMIR), 2021; 8 pages | null | null | null | cs.LG cs.AI cs.SD eess.AS stat.ML | http://creativecommons.org/licenses/by/4.0/ | Some generative models for sequences such as music and text allow us to edit
only subsequences, given surrounding context sequences, which plays an
important part in steering generation interactively. However, editing
subsequences mainly involves randomly resampling subsequences from a possible
generation space. We p... | [
{
"created": "Tue, 23 Nov 2021 07:51:39 GMT",
"version": "v1"
}
] | 2021-11-24 | [
[
"Akama",
"Taketo",
""
]
] | Some generative models for sequences such as music and text allow us to edit only subsequences, given surrounding context sequences, which plays an important part in steering generation interactively. However, editing subsequences mainly involves randomly resampling subsequences from a possible generation space. We pro... |
2309.08585 | Yuan Jianlong | Xiaonan Lu, Jianlong Yuan, Ruigang Niu, Yuan Hu, Fan Wang | Viewpoint Integration and Registration with Vision Language Foundation
Model for Image Change Understanding | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, the development of pre-trained vision language foundation models
(VLFMs) has led to remarkable performance in many tasks. However, these models
tend to have strong single-image understanding capability but lack the ability
to understand multiple images. Therefore, they cannot be directly applied to
cope wit... | [
{
"created": "Fri, 15 Sep 2023 17:41:29 GMT",
"version": "v1"
}
] | 2023-09-18 | [
[
"Lu",
"Xiaonan",
""
],
[
"Yuan",
"Jianlong",
""
],
[
"Niu",
"Ruigang",
""
],
[
"Hu",
"Yuan",
""
],
[
"Wang",
"Fan",
""
]
] | Recently, the development of pre-trained vision language foundation models (VLFMs) has led to remarkable performance in many tasks. However, these models tend to have strong single-image understanding capability but lack the ability to understand multiple images. Therefore, they cannot be directly applied to cope with ... |
2304.10996 | Maryem Rhanoui | Ayoub Harnoune and Maryem Rhanoui and Mounia Mikram and Siham Yousfi
and Zineb Elkaimbillah and Bouchra El Asri | BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph
Construction and Analysis | null | null | 10.1016/j.cmpbup.2021.100042 | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Background : Knowledge is evolving over time, often as a result of new
discoveries or changes in the adopted methods of reasoning. Also, new facts or
evidence may become available, leading to new understandings of complex
phenomena. This is particularly true in the biomedical field, where scientists
and physicians ar... | [
{
"created": "Fri, 21 Apr 2023 14:45:33 GMT",
"version": "v1"
}
] | 2023-04-24 | [
[
"Harnoune",
"Ayoub",
""
],
[
"Rhanoui",
"Maryem",
""
],
[
"Mikram",
"Mounia",
""
],
[
"Yousfi",
"Siham",
""
],
[
"Elkaimbillah",
"Zineb",
""
],
[
"Asri",
"Bouchra El",
""
]
] | Background : Knowledge is evolving over time, often as a result of new discoveries or changes in the adopted methods of reasoning. Also, new facts or evidence may become available, leading to new understandings of complex phenomena. This is particularly true in the biomedical field, where scientists and physicians are ... |
1903.07507 | Ishan Jindal | Ishan Jindal, Daniel Pressel, Brian Lester, Matthew Nokleby | An Effective Label Noise Model for DNN Text Classification | Accepted at NAACL-HLT 2019 Main Conference Long paper | null | null | null | cs.LG cs.CL cs.IR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Because large, human-annotated datasets suffer from labeling errors, it is
crucial to be able to train deep neural networks in the presence of label
noise. While training image classification models with label noise have
received much attention, training text classification models have not. In this
paper, we propose ... | [
{
"created": "Mon, 18 Mar 2019 15:27:50 GMT",
"version": "v1"
}
] | 2019-03-19 | [
[
"Jindal",
"Ishan",
""
],
[
"Pressel",
"Daniel",
""
],
[
"Lester",
"Brian",
""
],
[
"Nokleby",
"Matthew",
""
]
] | Because large, human-annotated datasets suffer from labeling errors, it is crucial to be able to train deep neural networks in the presence of label noise. While training image classification models with label noise have received much attention, training text classification models have not. In this paper, we propose an... |
2312.13770 | Zheheng Jiang | Zheheng Jiang, Hossein Rahmani, Sue Black, Bryan M. Williams | 3D Points Splatting for Real-Time Dynamic Hand Reconstruction | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present 3D Points Splatting Hand Reconstruction (3D-PSHR), a real-time and
photo-realistic hand reconstruction approach. We propose a self-adaptive
canonical points upsampling strategy to achieve high-resolution hand geometry
representation. This is followed by a self-adaptive deformation that deforms
the hand fro... | [
{
"created": "Thu, 21 Dec 2023 11:50:49 GMT",
"version": "v1"
}
] | 2023-12-22 | [
[
"Jiang",
"Zheheng",
""
],
[
"Rahmani",
"Hossein",
""
],
[
"Black",
"Sue",
""
],
[
"Williams",
"Bryan M.",
""
]
] | We present 3D Points Splatting Hand Reconstruction (3D-PSHR), a real-time and photo-realistic hand reconstruction approach. We propose a self-adaptive canonical points upsampling strategy to achieve high-resolution hand geometry representation. This is followed by a self-adaptive deformation that deforms the hand from ... |
1412.7664 | Roshan Ragel | M.G.G.C.R. Salgado and R. G. Ragel | Register Spilling for Specific Application Domains in Application
Specific Instruction-set Processors | The 7th International Conference on Information and Automation for
Sustainability (ICIAfS) 2014 | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An Application Specific Instruction set Processor (ASIP) is an important
component in designing embedded systems. One of the problems in designing an
instruction set for such processors is determining the number of registers is
needed in the processor that will optimize the computational time and the cost.
The perfor... | [
{
"created": "Wed, 24 Dec 2014 14:15:19 GMT",
"version": "v1"
}
] | 2014-12-25 | [
[
"Salgado",
"M. G. G. C. R.",
""
],
[
"Ragel",
"R. G.",
""
]
] | An Application Specific Instruction set Processor (ASIP) is an important component in designing embedded systems. One of the problems in designing an instruction set for such processors is determining the number of registers is needed in the processor that will optimize the computational time and the cost. The performa... |
1005.2894 | Fabian Kuhn | Fabian Kuhn, Christoph Lenzen, Thomas Locher, Rotem Oshman | Optimal Gradient Clock Synchronization in Dynamic Networks | 68 pages; conference version: 29th Annual ACM Symposium on Principles
of Distributed Computing (PODC 2010) | null | null | null | cs.DC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of clock synchronization in highly dynamic networks,
where communication links can appear or disappear at any time. The nodes in the
network are equipped with hardware clocks, but the rate of the hardware clocks
can vary arbitrarily within specific bounds, and the estimates that nodes can
obtain ... | [
{
"created": "Mon, 17 May 2010 11:56:31 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Aug 2010 08:01:04 GMT",
"version": "v2"
},
{
"created": "Sat, 8 Dec 2018 13:00:54 GMT",
"version": "v3"
}
] | 2018-12-11 | [
[
"Kuhn",
"Fabian",
""
],
[
"Lenzen",
"Christoph",
""
],
[
"Locher",
"Thomas",
""
],
[
"Oshman",
"Rotem",
""
]
] | We study the problem of clock synchronization in highly dynamic networks, where communication links can appear or disappear at any time. The nodes in the network are equipped with hardware clocks, but the rate of the hardware clocks can vary arbitrarily within specific bounds, and the estimates that nodes can obtain ab... |
2011.05519 | Dilusha Weeraddana Dr | Dilusha Weeraddana, Nguyen Lu Dang Khoa, Lachlan O Neil, Weihong Wang,
and Chen Cai | Energy consumption forecasting using a stacked nonparametric Bayesian
approach | Conference: ECML-PKDD 2020 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this paper, the process of forecasting household energy consumption is
studied within the framework of the nonparametric Gaussian Process (GP), using
multiple short time series data. As we begin to use smart meter data to paint a
clearer picture of residential electricity use, it becomes increasingly
apparent that... | [
{
"created": "Wed, 11 Nov 2020 02:27:00 GMT",
"version": "v1"
}
] | 2020-11-12 | [
[
"Weeraddana",
"Dilusha",
""
],
[
"Khoa",
"Nguyen Lu Dang",
""
],
[
"Neil",
"Lachlan O",
""
],
[
"Wang",
"Weihong",
""
],
[
"Cai",
"Chen",
""
]
] | In this paper, the process of forecasting household energy consumption is studied within the framework of the nonparametric Gaussian Process (GP), using multiple short time series data. As we begin to use smart meter data to paint a clearer picture of residential electricity use, it becomes increasingly apparent that w... |
2102.07515 | Pierre Vial | Pierre Vial | Sequence Types and Infinitary Semantics | 68 pages, 18 figures | null | null | null | cs.LO cs.PL | http://creativecommons.org/licenses/by/4.0/ | We introduce a new representation of non-idempotent intersection types, using
\textbf{sequences} (families indexed with natural numbers) instead of lists or
multisets. This allows scaling up \textbf{intersection type} theory to the
infinitary $\lambda$-calculus. We thus characterize hereditary head
normalization, whi... | [
{
"created": "Mon, 15 Feb 2021 12:33:41 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Dec 2021 09:12:09 GMT",
"version": "v2"
}
] | 2021-12-16 | [
[
"Vial",
"Pierre",
""
]
] | We introduce a new representation of non-idempotent intersection types, using \textbf{sequences} (families indexed with natural numbers) instead of lists or multisets. This allows scaling up \textbf{intersection type} theory to the infinitary $\lambda$-calculus. We thus characterize hereditary head normalization, which... |
1111.4045 | Javier Parra-Arnau | David Rebollo-Monedero, Javier Parra-Arnau, Jordi Forn\'e | An Information-Theoretic Privacy Criterion for Query Forgery in
Information Retrieval | This paper has 15 pages and 1 figure | null | null | null | cs.IT cs.CR math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In previous work, we presented a novel information-theoretic privacy
criterion for query forgery in the domain of information retrieval. Our
criterion measured privacy risk as a divergence between the user's and the
population's query distribution, and contemplated the entropy of the user's
distribution as a particul... | [
{
"created": "Thu, 17 Nov 2011 10:06:49 GMT",
"version": "v1"
}
] | 2015-03-19 | [
[
"Rebollo-Monedero",
"David",
""
],
[
"Parra-Arnau",
"Javier",
""
],
[
"Forné",
"Jordi",
""
]
] | In previous work, we presented a novel information-theoretic privacy criterion for query forgery in the domain of information retrieval. Our criterion measured privacy risk as a divergence between the user's and the population's query distribution, and contemplated the entropy of the user's distribution as a particular... |
2308.07522 | Victor Zitian Chen | Victor Zitian Chen | Finding Stakeholder-Material Information from 10-K Reports using
Fine-Tuned BERT and LSTM Models | null | null | null | null | cs.CL cs.CE | http://creativecommons.org/licenses/by/4.0/ | All public companies are required by federal securities law to disclose their
business and financial activities in their annual 10-K reports. Each report
typically spans hundreds of pages, making it difficult for human readers to
identify and extract the material information efficiently. To solve the
problem, I have ... | [
{
"created": "Tue, 15 Aug 2023 01:25:34 GMT",
"version": "v1"
}
] | 2023-08-16 | [
[
"Chen",
"Victor Zitian",
""
]
] | All public companies are required by federal securities law to disclose their business and financial activities in their annual 10-K reports. Each report typically spans hundreds of pages, making it difficult for human readers to identify and extract the material information efficiently. To solve the problem, I have fi... |
2112.11701 | Rui Zhao | Rui Zhao, Jinming Song, Yufeng Yuan, Hu Haifeng, Yang Gao, Yi Wu,
Zhongqian Sun, Yang Wei | Maximum Entropy Population-Based Training for Zero-Shot Human-AI
Coordination | Accepted by NeurIPS Cooperative AI Workshop, 2021, link:
https://www.cooperativeai.com/workshop/neurips-2021#Workshop-Papers. Under
review at a conference | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of training a Reinforcement Learning (RL) agent that is
collaborative with humans without using any human data. Although such agents
can be obtained through self-play training, they can suffer significantly from
distributional shift when paired with unencountered partners, such as humans.
To miti... | [
{
"created": "Wed, 22 Dec 2021 07:19:36 GMT",
"version": "v1"
},
{
"created": "Mon, 23 May 2022 06:43:58 GMT",
"version": "v2"
},
{
"created": "Mon, 27 Jun 2022 05:15:20 GMT",
"version": "v3"
}
] | 2022-06-28 | [
[
"Zhao",
"Rui",
""
],
[
"Song",
"Jinming",
""
],
[
"Yuan",
"Yufeng",
""
],
[
"Haifeng",
"Hu",
""
],
[
"Gao",
"Yang",
""
],
[
"Wu",
"Yi",
""
],
[
"Sun",
"Zhongqian",
""
],
[
"Wei",
"Yang",
""
... | We study the problem of training a Reinforcement Learning (RL) agent that is collaborative with humans without using any human data. Although such agents can be obtained through self-play training, they can suffer significantly from distributional shift when paired with unencountered partners, such as humans. To mitiga... |
2009.11465 | Yanshi Luo | Yanshi Luo, Abdeslam Boularias and Mridul Aanjaneya | Model Identification and Control of a Low-Cost Wheeled Mobile Robot
Using Differentiable Physics | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present the design of a low-cost wheeled mobile robot, and an analytical
model for predicting its motion under the influence of motor torques and
friction forces. Using our proposed model, we show how to analytically compute
the gradient of an appropriate loss function, that measures the deviation
between predicte... | [
{
"created": "Thu, 24 Sep 2020 03:27:28 GMT",
"version": "v1"
}
] | 2020-09-25 | [
[
"Luo",
"Yanshi",
""
],
[
"Boularias",
"Abdeslam",
""
],
[
"Aanjaneya",
"Mridul",
""
]
] | We present the design of a low-cost wheeled mobile robot, and an analytical model for predicting its motion under the influence of motor torques and friction forces. Using our proposed model, we show how to analytically compute the gradient of an appropriate loss function, that measures the deviation between predicted ... |
2210.15593 | Shikhar Makhija | Udit Kumar Agarwal, Shikhar Makhija, Varun Tripathi and Kunwar Singh | An Investigation into Neuromorphic ICs using Memristor-CMOS Hybrid
Circuits | Bachelor's thesis | null | null | null | cs.NE cs.AR eess.IV eess.SP | http://creativecommons.org/licenses/by/4.0/ | The memristance of a memristor depends on the amount of charge flowing
through it and when current stops flowing through it, it remembers the state.
Thus, memristors are extremely suited for implementation of memory units.
Memristors find great application in neuromorphic circuits as it is possible to
couple memory a... | [
{
"created": "Fri, 19 Aug 2022 18:04:03 GMT",
"version": "v1"
}
] | 2022-10-28 | [
[
"Agarwal",
"Udit Kumar",
""
],
[
"Makhija",
"Shikhar",
""
],
[
"Tripathi",
"Varun",
""
],
[
"Singh",
"Kunwar",
""
]
] | The memristance of a memristor depends on the amount of charge flowing through it and when current stops flowing through it, it remembers the state. Thus, memristors are extremely suited for implementation of memory units. Memristors find great application in neuromorphic circuits as it is possible to couple memory and... |
1304.6777 | Tauhid Zaman | Tauhid Zaman, Emily B. Fox, Eric T. Bradlow | A Bayesian approach for predicting the popularity of tweets | Published in at http://dx.doi.org/10.1214/14-AOAS741 the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org) | Annals of Applied Statistics 2014, Vol. 8, No. 3, 1583-1611 | 10.1214/14-AOAS741 | IMS-AOAS-AOAS741 | cs.SI physics.soc-ph stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We predict the popularity of short messages called tweets created in the
micro-blogging site known as Twitter. We measure the popularity of a tweet by
the time-series path of its retweets, which is when people forward the tweet to
others. We develop a probabilistic model for the evolution of the retweets
using a Baye... | [
{
"created": "Thu, 25 Apr 2013 00:26:18 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Mar 2014 04:17:57 GMT",
"version": "v2"
},
{
"created": "Mon, 24 Nov 2014 11:29:48 GMT",
"version": "v3"
}
] | 2014-11-25 | [
[
"Zaman",
"Tauhid",
""
],
[
"Fox",
"Emily B.",
""
],
[
"Bradlow",
"Eric T.",
""
]
] | We predict the popularity of short messages called tweets created in the micro-blogging site known as Twitter. We measure the popularity of a tweet by the time-series path of its retweets, which is when people forward the tweet to others. We develop a probabilistic model for the evolution of the retweets using a Bayesi... |
2312.01315 | Wenlong Shi | Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr
Koniusz | Few-shot Shape Recognition by Learning Deep Shape-aware Features | Accepted by WACV 2024; 8 pages for main paper | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional shape descriptors have been gradually replaced by convolutional
neural networks due to their superior performance in feature extraction and
classification. The state-of-the-art methods recognize object shapes via image
reconstruction or pixel classification. However , these methods are biased
toward textu... | [
{
"created": "Sun, 3 Dec 2023 08:12:23 GMT",
"version": "v1"
}
] | 2023-12-05 | [
[
"Shi",
"Wenlong",
""
],
[
"Lu",
"Changsheng",
""
],
[
"Shao",
"Ming",
""
],
[
"Zhang",
"Yinjie",
""
],
[
"Xia",
"Siyu",
""
],
[
"Koniusz",
"Piotr",
""
]
] | Traditional shape descriptors have been gradually replaced by convolutional neural networks due to their superior performance in feature extraction and classification. The state-of-the-art methods recognize object shapes via image reconstruction or pixel classification. However , these methods are biased toward texture... |
2201.01703 | Nishant Sinha | Saurabh Kumar, Nishant Sinha | Probing TryOnGAN | 5 pages, to appear in the proceedings of the 9th ACM IKDD CODS and
27th COMAD (CODS-COMAD '22) | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | TryOnGAN is a recent virtual try-on approach, which generates highly
realistic images and outperforms most previous approaches. In this article, we
reproduce the TryOnGAN implementation and probe it along diverse angles: impact
of transfer learning, variants of conditioning image generation with poses and
properties ... | [
{
"created": "Wed, 5 Jan 2022 16:51:19 GMT",
"version": "v1"
}
] | 2022-01-06 | [
[
"Kumar",
"Saurabh",
""
],
[
"Sinha",
"Nishant",
""
]
] | TryOnGAN is a recent virtual try-on approach, which generates highly realistic images and outperforms most previous approaches. In this article, we reproduce the TryOnGAN implementation and probe it along diverse angles: impact of transfer learning, variants of conditioning image generation with poses and properties of... |
2307.08575 | Romaric Neveu | Nicolas Aragon, Lo\"ic Bidoux, Jes\'us-Javier Chi-Dom\'inguez,
Thibauld Feneuil, Philippe Gaborit, Romaric Neveu, Matthieu Rivain | MIRA: a Digital Signature Scheme based on the MinRank problem and the
MPC-in-the-Head paradigm | null | null | null | null | cs.CR | http://creativecommons.org/publicdomain/zero/1.0/ | We exploit the idea of [Fen22] which proposes to build an efficient signature
scheme based on a zero-knowledge proof of knowledge of a solution of a MinRank
instance. The scheme uses the MPCitH paradigm, which is an efficient way to
build ZK proofs. We combine this idea with another idea, the hypercube
technique intr... | [
{
"created": "Mon, 17 Jul 2023 15:44:12 GMT",
"version": "v1"
}
] | 2023-07-18 | [
[
"Aragon",
"Nicolas",
""
],
[
"Bidoux",
"Loïc",
""
],
[
"Chi-Domínguez",
"Jesús-Javier",
""
],
[
"Feneuil",
"Thibauld",
""
],
[
"Gaborit",
"Philippe",
""
],
[
"Neveu",
"Romaric",
""
],
[
"Rivain",
"Matthieu",
... | We exploit the idea of [Fen22] which proposes to build an efficient signature scheme based on a zero-knowledge proof of knowledge of a solution of a MinRank instance. The scheme uses the MPCitH paradigm, which is an efficient way to build ZK proofs. We combine this idea with another idea, the hypercube technique introd... |
1606.04288 | Polyvios Pratikakis | Alexandros Labrineas, Polyvios Pratikakis, Dimitrios S. Nikolopoulos,
Angelos Bilas | BDDT-SCC: A Task-parallel Runtime for Non Cache-Coherent Multicores | null | null | null | null | cs.DC cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents BDDT-SCC, a task-parallel runtime system for non
cache-coherent multicore processors, implemented for the Intel Single-Chip
Cloud Computer. The BDDT-SCC runtime includes a dynamic dependence analysis and
automatic synchronization, and executes OpenMP-Ss tasks on a non cache-coherent
architecture. ... | [
{
"created": "Tue, 14 Jun 2016 10:09:42 GMT",
"version": "v1"
}
] | 2016-06-15 | [
[
"Labrineas",
"Alexandros",
""
],
[
"Pratikakis",
"Polyvios",
""
],
[
"Nikolopoulos",
"Dimitrios S.",
""
],
[
"Bilas",
"Angelos",
""
]
] | This paper presents BDDT-SCC, a task-parallel runtime system for non cache-coherent multicore processors, implemented for the Intel Single-Chip Cloud Computer. The BDDT-SCC runtime includes a dynamic dependence analysis and automatic synchronization, and executes OpenMP-Ss tasks on a non cache-coherent architecture. We... |
2108.13205 | Angel Romero | Angel Romero, Sihao Sun, Philipp Foehn, Davide Scaramuzza | Model Predictive Contouring Control for Time-Optimal Quadrotor Flight | 17 pages, 16 figures. Video:
https://www.youtube.com/watch?v=mHDQcckqdg4 This paper has been accepted for
publication in the IEEE Transactions on Robotics (T-RO), 2022 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We tackle the problem of flying time-optimal trajectories through multiple
waypoints with quadrotors. State-of-the-art solutions split the problem into a
planning task - where a global, time-optimal trajectory is generated - and a
control task - where this trajectory is accurately tracked. However, at the
current sta... | [
{
"created": "Mon, 30 Aug 2021 13:01:49 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Oct 2021 15:34:38 GMT",
"version": "v2"
},
{
"created": "Thu, 17 Feb 2022 09:12:34 GMT",
"version": "v3"
},
{
"created": "Wed, 4 May 2022 07:06:09 GMT",
"version": "v4"
}
] | 2022-05-05 | [
[
"Romero",
"Angel",
""
],
[
"Sun",
"Sihao",
""
],
[
"Foehn",
"Philipp",
""
],
[
"Scaramuzza",
"Davide",
""
]
] | We tackle the problem of flying time-optimal trajectories through multiple waypoints with quadrotors. State-of-the-art solutions split the problem into a planning task - where a global, time-optimal trajectory is generated - and a control task - where this trajectory is accurately tracked. However, at the current state... |
1911.08650 | Jordan MacLachlan | Jordan MacLachlan, Yi Mei, Juergen Branke, Mengjie Zhang | Genetic Programming Hyper-Heuristics with Vehicle Collaboration for
Uncertain Capacitated Arc Routing Problems | null | null | 10.1162/evco_a_00267 | null | cs.NE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to its direct relevance to post-disaster operations, meter reading and
civil refuse collection, the Uncertain Capacitated Arc Routing Problem (UCARP)
is an important optimisation problem. Stochastic models are critical to study
as they more accurately represent the real-world than their deterministic
counterparts... | [
{
"created": "Wed, 20 Nov 2019 00:55:00 GMT",
"version": "v1"
}
] | 2019-11-21 | [
[
"MacLachlan",
"Jordan",
""
],
[
"Mei",
"Yi",
""
],
[
"Branke",
"Juergen",
""
],
[
"Zhang",
"Mengjie",
""
]
] | Due to its direct relevance to post-disaster operations, meter reading and civil refuse collection, the Uncertain Capacitated Arc Routing Problem (UCARP) is an important optimisation problem. Stochastic models are critical to study as they more accurately represent the real-world than their deterministic counterparts. ... |
2211.14383 | Yushun Dong | Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li | Interpreting Unfairness in Graph Neural Networks via Training Node
Attribution | Published as a conference paper at AAAI 2023 | null | null | null | cs.LG cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Neural Networks (GNNs) have emerged as the leading paradigm for solving
graph analytical problems in various real-world applications. Nevertheless,
GNNs could potentially render biased predictions towards certain demographic
subgroups. Understanding how the bias in predictions arises is critical, as it
guides t... | [
{
"created": "Fri, 25 Nov 2022 21:52:30 GMT",
"version": "v1"
}
] | 2022-11-29 | [
[
"Dong",
"Yushun",
""
],
[
"Wang",
"Song",
""
],
[
"Ma",
"Jing",
""
],
[
"Liu",
"Ninghao",
""
],
[
"Li",
"Jundong",
""
]
] | Graph Neural Networks (GNNs) have emerged as the leading paradigm for solving graph analytical problems in various real-world applications. Nevertheless, GNNs could potentially render biased predictions towards certain demographic subgroups. Understanding how the bias in predictions arises is critical, as it guides the... |
2407.14387 | Aurelio Sulser | Aurelio Sulser, Johann Wenckstern, Clara Kuempel | GLAudio Listens to the Sound of the Graph | null | ICML 2024 ELLIS Workshop on Geometry-grounded Representation
Learning and Generative Modeling | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose GLAudio: Graph Learning on Audio representation of the node
features and the connectivity structure. This novel architecture propagates the
node features through the graph network according to the discrete wave equation
and then employs a sequence learning architecture to learn the target node
function fro... | [
{
"created": "Fri, 19 Jul 2024 15:13:22 GMT",
"version": "v1"
}
] | 2024-07-22 | [
[
"Sulser",
"Aurelio",
""
],
[
"Wenckstern",
"Johann",
""
],
[
"Kuempel",
"Clara",
""
]
] | We propose GLAudio: Graph Learning on Audio representation of the node features and the connectivity structure. This novel architecture propagates the node features through the graph network according to the discrete wave equation and then employs a sequence learning architecture to learn the target node function from ... |
2303.11595 | Yiming Chen | Yiming Chen, Jinyu Tian, Xiangyu Chen, and Jiantao Zhou | Effective Ambiguity Attack Against Passport-based DNN Intellectual
Property Protection Schemes through Fully Connected Layer Substitution | Accepted to CVPR2023 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Since training a deep neural network (DNN) is costly, the well-trained deep
models can be regarded as valuable intellectual property (IP) assets. The IP
protection associated with deep models has been receiving increasing attentions
in recent years. Passport-based method, which replaces normalization layers
with pass... | [
{
"created": "Tue, 21 Mar 2023 04:59:05 GMT",
"version": "v1"
}
] | 2023-03-22 | [
[
"Chen",
"Yiming",
""
],
[
"Tian",
"Jinyu",
""
],
[
"Chen",
"Xiangyu",
""
],
[
"Zhou",
"Jiantao",
""
]
] | Since training a deep neural network (DNN) is costly, the well-trained deep models can be regarded as valuable intellectual property (IP) assets. The IP protection associated with deep models has been receiving increasing attentions in recent years. Passport-based method, which replaces normalization layers with passpo... |
1708.00602 | Subhadip Mukherjee | Subhadip Mukherjee and Chandra Sekhar Seelamantula | Phase Retrieval From Binary Measurements | null | null | 10.1109/LSP.2018.2791102 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of signal reconstruction from quadratic measurements
that are encoded as +1 or -1 depending on whether they exceed a predetermined
positive threshold or not. Binary measurements are fast to acquire and
inexpensive in terms of hardware. We formulate the problem of signal
reconstruction using a ... | [
{
"created": "Wed, 2 Aug 2017 04:46:07 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Nov 2017 10:41:25 GMT",
"version": "v2"
}
] | 2018-03-14 | [
[
"Mukherjee",
"Subhadip",
""
],
[
"Seelamantula",
"Chandra Sekhar",
""
]
] | We consider the problem of signal reconstruction from quadratic measurements that are encoded as +1 or -1 depending on whether they exceed a predetermined positive threshold or not. Binary measurements are fast to acquire and inexpensive in terms of hardware. We formulate the problem of signal reconstruction using a co... |
2205.03198 | Paolo Baldi | Paolo Baldi and Hykel Hosni | A Logic-based Tractable Approximation of Probability | null | null | null | null | cs.LO cs.AI | http://creativecommons.org/licenses/by/4.0/ | We provide a logical framework in which a resource-bounded agent can be seen
to perform approximations of probabilistic reasoning. Our main results read as
follows. First we identify the conditions under which propositional probability
functions can be approximated by a hierarchy of depth-bounded Belief functions.
Se... | [
{
"created": "Fri, 6 May 2022 13:25:12 GMT",
"version": "v1"
}
] | 2022-05-09 | [
[
"Baldi",
"Paolo",
""
],
[
"Hosni",
"Hykel",
""
]
] | We provide a logical framework in which a resource-bounded agent can be seen to perform approximations of probabilistic reasoning. Our main results read as follows. First we identify the conditions under which propositional probability functions can be approximated by a hierarchy of depth-bounded Belief functions. Seco... |
0902.1284 | Daniel Hsu | Daniel Hsu, Sham M. Kakade, John Langford, Tong Zhang | Multi-Label Prediction via Compressed Sensing | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider multi-label prediction problems with large output spaces under
the assumption of output sparsity -- that the target (label) vectors have small
support. We develop a general theory for a variant of the popular error
correcting output code scheme, using ideas from compressed sensing for
exploiting this spar... | [
{
"created": "Sun, 8 Feb 2009 02:30:06 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Jun 2009 16:23:28 GMT",
"version": "v2"
}
] | 2009-06-02 | [
[
"Hsu",
"Daniel",
""
],
[
"Kakade",
"Sham M.",
""
],
[
"Langford",
"John",
""
],
[
"Zhang",
"Tong",
""
]
] | We consider multi-label prediction problems with large output spaces under the assumption of output sparsity -- that the target (label) vectors have small support. We develop a general theory for a variant of the popular error correcting output code scheme, using ideas from compressed sensing for exploiting this sparsi... |
2011.11827 | Yunzhe Tao | Yunzhe Tao, Sahika Genc, Jonathan Chung, Tao Sun, Sunil Mallya | REPAINT: Knowledge Transfer in Deep Reinforcement Learning | Published at ICML 2021 | null | null | null | cs.LG cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accelerating learning processes for complex tasks by leveraging previously
learned tasks has been one of the most challenging problems in reinforcement
learning, especially when the similarity between source and target tasks is
low. This work proposes REPresentation And INstance Transfer (REPAINT)
algorithm for knowl... | [
{
"created": "Tue, 24 Nov 2020 01:18:32 GMT",
"version": "v1"
},
{
"created": "Fri, 5 Feb 2021 18:57:25 GMT",
"version": "v2"
},
{
"created": "Wed, 26 May 2021 05:25:23 GMT",
"version": "v3"
}
] | 2021-05-27 | [
[
"Tao",
"Yunzhe",
""
],
[
"Genc",
"Sahika",
""
],
[
"Chung",
"Jonathan",
""
],
[
"Sun",
"Tao",
""
],
[
"Mallya",
"Sunil",
""
]
] | Accelerating learning processes for complex tasks by leveraging previously learned tasks has been one of the most challenging problems in reinforcement learning, especially when the similarity between source and target tasks is low. This work proposes REPresentation And INstance Transfer (REPAINT) algorithm for knowled... |
2201.05478 | Dinesh Garg | Philip Tetlow, Dinesh Garg, Leigh Chase, Mark Mattingley-Scott,
Nicholas Bronn, Kugendran Naidoo, Emil Reinert | Towards a Semantic Information Theory (Introducing Quantum Corollas) | null | null | null | null | cs.IT math.IT quant-ph | http://creativecommons.org/licenses/by-sa/4.0/ | The field of Information Theory is founded on Claude Shannon's seminal ideas
relating to entropy. Nevertheless, his well-known avoidance of meaning
(Shannon, 1948) still persists to this day, so that Information Theory remains
poorly connected to many fields with clear informational content and a
dependence on semant... | [
{
"created": "Fri, 14 Jan 2022 14:33:13 GMT",
"version": "v1"
}
] | 2022-01-17 | [
[
"Tetlow",
"Philip",
""
],
[
"Garg",
"Dinesh",
""
],
[
"Chase",
"Leigh",
""
],
[
"Mattingley-Scott",
"Mark",
""
],
[
"Bronn",
"Nicholas",
""
],
[
"Naidoo",
"Kugendran",
""
],
[
"Reinert",
"Emil",
""
]
] | The field of Information Theory is founded on Claude Shannon's seminal ideas relating to entropy. Nevertheless, his well-known avoidance of meaning (Shannon, 1948) still persists to this day, so that Information Theory remains poorly connected to many fields with clear informational content and a dependence on semantic... |
2005.01889 | Seonho Park | Seonho Park, George Adosoglou, Panos M. Pardalos | Interpreting Rate-Distortion of Variational Autoencoder and Using Model
Uncertainty for Anomaly Detection | Corrected typos | null | null | null | cs.LG cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Building a scalable machine learning system for unsupervised anomaly
detection via representation learning is highly desirable. One of the prevalent
methods is using a reconstruction error from variational autoencoder (VAE) via
maximizing the evidence lower bound. We revisit VAE from the perspective of
information th... | [
{
"created": "Tue, 5 May 2020 00:03:48 GMT",
"version": "v1"
},
{
"created": "Thu, 7 May 2020 16:59:36 GMT",
"version": "v2"
}
] | 2020-05-08 | [
[
"Park",
"Seonho",
""
],
[
"Adosoglou",
"George",
""
],
[
"Pardalos",
"Panos M.",
""
]
] | Building a scalable machine learning system for unsupervised anomaly detection via representation learning is highly desirable. One of the prevalent methods is using a reconstruction error from variational autoencoder (VAE) via maximizing the evidence lower bound. We revisit VAE from the perspective of information theo... |
2012.04767 | Clement Moreau | Clement Moreau and Thomas Devogele and Laurent Etienne and Veronika
Peralta and Cyril de Runz | Methodology for Mining, Discovering and Analyzing Semantic Human
Mobility Behaviors | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Various institutes produce large semantic datasets containing information
regarding daily activities and human mobility. The analysis and understanding
of such data are crucial for urban planning, socio-psychology, political
sciences, and epidemiology. However, none of the typical data mining processes
have been cust... | [
{
"created": "Tue, 8 Dec 2020 22:24:19 GMT",
"version": "v1"
},
{
"created": "Sun, 20 Dec 2020 17:23:48 GMT",
"version": "v2"
}
] | 2020-12-22 | [
[
"Moreau",
"Clement",
""
],
[
"Devogele",
"Thomas",
""
],
[
"Etienne",
"Laurent",
""
],
[
"Peralta",
"Veronika",
""
],
[
"de Runz",
"Cyril",
""
]
] | Various institutes produce large semantic datasets containing information regarding daily activities and human mobility. The analysis and understanding of such data are crucial for urban planning, socio-psychology, political sciences, and epidemiology. However, none of the typical data mining processes have been custom... |
1011.4597 | Elena Veronica Belmega | E. V. Belmega and S. Lasaulce | Energy-Efficient Precoding for Multiple-Antenna Terminals | null | null | 10.1109/TSP.2010.2086451 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of energy-efficient precoding is investigated when the terminals
in the system are equipped with multiple antennas. Considering static and
fast-fading multiple-input multiple-output (MIMO) channels, the
energy-efficiency is defined as the transmission rate to power ratio and shown
to be maximized at low t... | [
{
"created": "Sat, 20 Nov 2010 18:45:23 GMT",
"version": "v1"
}
] | 2015-05-20 | [
[
"Belmega",
"E. V.",
""
],
[
"Lasaulce",
"S.",
""
]
] | The problem of energy-efficient precoding is investigated when the terminals in the system are equipped with multiple antennas. Considering static and fast-fading multiple-input multiple-output (MIMO) channels, the energy-efficiency is defined as the transmission rate to power ratio and shown to be maximized at low tra... |
1702.04510 | Christian Hadiwinoto | Christian Hadiwinoto, Hwee Tou Ng | A Dependency-Based Neural Reordering Model for Statistical Machine
Translation | 7 pages, 3 figures, Proceedings of AAAI-17 | Proceedings of AAAI-17 (2017) | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In machine translation (MT) that involves translating between two languages
with significant differences in word order, determining the correct word order
of translated words is a major challenge. The dependency parse tree of a source
sentence can help to determine the correct word order of the translated words.
In t... | [
{
"created": "Wed, 15 Feb 2017 09:08:21 GMT",
"version": "v1"
}
] | 2017-02-16 | [
[
"Hadiwinoto",
"Christian",
""
],
[
"Ng",
"Hwee Tou",
""
]
] | In machine translation (MT) that involves translating between two languages with significant differences in word order, determining the correct word order of translated words is a major challenge. The dependency parse tree of a source sentence can help to determine the correct word order of the translated words. In thi... |
1804.10123 | Sam Leroux | Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas
Breuel, Jan Kautz | IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image
Classification | ICLR 2018 Workshop track | null | null | null | cs.CV cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep residual networks (ResNets) made a recent breakthrough in deep learning.
The core idea of ResNets is to have shortcut connections between layers that
allow the network to be much deeper while still being easy to optimize avoiding
vanishing gradients. These shortcut connections have interesting side-effects
that ... | [
{
"created": "Thu, 26 Apr 2018 15:57:00 GMT",
"version": "v1"
}
] | 2018-04-30 | [
[
"Leroux",
"Sam",
""
],
[
"Molchanov",
"Pavlo",
""
],
[
"Simoens",
"Pieter",
""
],
[
"Dhoedt",
"Bart",
""
],
[
"Breuel",
"Thomas",
""
],
[
"Kautz",
"Jan",
""
]
] | Deep residual networks (ResNets) made a recent breakthrough in deep learning. The core idea of ResNets is to have shortcut connections between layers that allow the network to be much deeper while still being easy to optimize avoiding vanishing gradients. These shortcut connections have interesting side-effects that ma... |
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