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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2005.04881 | Jeong-Hyun Cho | Jeong-Hyun Cho, Ji-Hoon Jeong, and Seong-Whan Lee | Decoding of Grasp Motions from EEG Signals Based on a Novel Data
Augmentation Strategy | Accepted to IEEE EMBC 2020 | null | null | null | cs.HC eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Electroencephalogram (EEG) based brain-computer interface (BCI) systems are
useful tools for clinical purposes like neural prostheses. In this study, we
collected EEG signals related to grasp motions. Five healthy subjects
participated in this experiment. They executed and imagined five
sustained-grasp actions. We pr... | [
{
"created": "Mon, 11 May 2020 06:39:45 GMT",
"version": "v1"
}
] | 2020-05-12 | [
[
"Cho",
"Jeong-Hyun",
""
],
[
"Jeong",
"Ji-Hoon",
""
],
[
"Lee",
"Seong-Whan",
""
]
] | Electroencephalogram (EEG) based brain-computer interface (BCI) systems are useful tools for clinical purposes like neural prostheses. In this study, we collected EEG signals related to grasp motions. Five healthy subjects participated in this experiment. They executed and imagined five sustained-grasp actions. We prop... |
2208.12632 | Sander De Coninck | Sander De Coninck, Wei-Cheng Wang, Sam Leroux, Pieter Simoens | Selective manipulation of disentangled representations for privacy-aware
facial image processing | Accepted to the MLCS workshop at ECML PKDD 2022 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Camera sensors are increasingly being combined with machine learning to
perform various tasks such as intelligent surveillance. Due to its
computational complexity, most of these machine learning algorithms are
offloaded to the cloud for processing. However, users are increasingly
concerned about privacy issues such ... | [
{
"created": "Fri, 26 Aug 2022 12:47:18 GMT",
"version": "v1"
}
] | 2022-08-29 | [
[
"De Coninck",
"Sander",
""
],
[
"Wang",
"Wei-Cheng",
""
],
[
"Leroux",
"Sam",
""
],
[
"Simoens",
"Pieter",
""
]
] | Camera sensors are increasingly being combined with machine learning to perform various tasks such as intelligent surveillance. Due to its computational complexity, most of these machine learning algorithms are offloaded to the cloud for processing. However, users are increasingly concerned about privacy issues such as... |
2404.05399 | Paul R\"ottger | Paul R\"ottger, Fabio Pernisi, Bertie Vidgen, Dirk Hovy | SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and
Improving Large Language Model Safety | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | The last two years have seen a rapid growth in concerns around the safety of
large language models (LLMs). Researchers and practitioners have met these
concerns by introducing an abundance of new datasets for evaluating and
improving LLM safety. However, much of this work has happened in parallel, and
with very diffe... | [
{
"created": "Mon, 8 Apr 2024 10:57:25 GMT",
"version": "v1"
}
] | 2024-04-09 | [
[
"Röttger",
"Paul",
""
],
[
"Pernisi",
"Fabio",
""
],
[
"Vidgen",
"Bertie",
""
],
[
"Hovy",
"Dirk",
""
]
] | The last two years have seen a rapid growth in concerns around the safety of large language models (LLMs). Researchers and practitioners have met these concerns by introducing an abundance of new datasets for evaluating and improving LLM safety. However, much of this work has happened in parallel, and with very differe... |
1002.1191 | Vishal Goyal | Muzhir Al-Ani, Qeethara Al-Shayea | Unidirectional Error Correcting Codes for Memory Systems: A Comparative
Study | International Journal of Computer Science Issues, IJCSI, Vol. 7,
Issue 1, No. 3, January 2010,
http://ijcsi.org/articles/Unidirectional-Error-Correcting-Codes-for-Memory-Systems-A-Comparative-Study.php | International Journal of Computer Science Issues, IJCSI, Vol. 7,
Issue 1, No. 3, January 2010,
http://ijcsi.org/articles/Unidirectional-Error-Correcting-Codes-for-Memory-Systems-A-Comparative-Study.php | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to achieve fault tolerance, highly reliable system often require the
ability to detect errors as soon as they occur and prevent the speared of
erroneous information throughout the system. Thus, the need for codes capable
of detecting and correcting byte errors are extremely important since many
memory system... | [
{
"created": "Fri, 5 Feb 2010 10:40:36 GMT",
"version": "v1"
}
] | 2010-02-08 | [
[
"Al-Ani",
"Muzhir",
""
],
[
"Al-Shayea",
"Qeethara",
""
]
] | In order to achieve fault tolerance, highly reliable system often require the ability to detect errors as soon as they occur and prevent the speared of erroneous information throughout the system. Thus, the need for codes capable of detecting and correcting byte errors are extremely important since many memory systems ... |
2003.11235 | Guilin Li | Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming
Tang, Xiuqiang He, Zhenguo Li, Yong Yu | AutoFIS: Automatic Feature Interaction Selection in Factorization Models
for Click-Through Rate Prediction | KDD 2020 ADS track oral accepted | null | null | null | cs.LG cs.IR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning feature interactions is crucial for click-through rate (CTR)
prediction in recommender systems. In most existing deep learning models,
feature interactions are either manually designed or simply enumerated.
However, enumerating all feature interactions brings large memory and
computation cost. Even worse, us... | [
{
"created": "Wed, 25 Mar 2020 06:53:54 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Mar 2020 02:04:20 GMT",
"version": "v2"
},
{
"created": "Fri, 3 Jul 2020 14:19:47 GMT",
"version": "v3"
}
] | 2020-07-06 | [
[
"Liu",
"Bin",
""
],
[
"Zhu",
"Chenxu",
""
],
[
"Li",
"Guilin",
""
],
[
"Zhang",
"Weinan",
""
],
[
"Lai",
"Jincai",
""
],
[
"Tang",
"Ruiming",
""
],
[
"He",
"Xiuqiang",
""
],
[
"Li",
"Zhenguo",
... | Learning feature interactions is crucial for click-through rate (CTR) prediction in recommender systems. In most existing deep learning models, feature interactions are either manually designed or simply enumerated. However, enumerating all feature interactions brings large memory and computation cost. Even worse, usel... |
1905.09157 | YunKai Wang | Zheyuan Huang and Lingyun Chen and Jiacheng Li and Yunkai Wang and
Zexi Chen and Licheng Wen and Jianyang Gu and Peng Hu and Rong Xiong | ZJUNlict Extended Team Description Paper for RoboCup 2019 | ZJUNlict Extended Team Description Paper for RoboCup 2019 Small Size
League | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For the Small Size League of RoboCup 2018, Team ZJUNLict has won the champion
and therefore, this paper thoroughly described the devotion which ZJUNLict has
devoted and the effort that ZJUNLict has contributed. There are three mean
optimizations for the mechanical part which accounted for most of our
incredible goals... | [
{
"created": "Wed, 22 May 2019 14:15:16 GMT",
"version": "v1"
}
] | 2019-05-23 | [
[
"Huang",
"Zheyuan",
""
],
[
"Chen",
"Lingyun",
""
],
[
"Li",
"Jiacheng",
""
],
[
"Wang",
"Yunkai",
""
],
[
"Chen",
"Zexi",
""
],
[
"Wen",
"Licheng",
""
],
[
"Gu",
"Jianyang",
""
],
[
"Hu",
"Peng... | For the Small Size League of RoboCup 2018, Team ZJUNLict has won the champion and therefore, this paper thoroughly described the devotion which ZJUNLict has devoted and the effort that ZJUNLict has contributed. There are three mean optimizations for the mechanical part which accounted for most of our incredible goals, ... |
1709.04655 | Hongyu Xiang | Hongyu Xiang, Wenan Zhou, Mahmoud Daneshmand, and Mugen Peng | Network Slicing in Fog Radio Access Networks: Issues and Challenges | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network slicing has been advocated by both academia and industry as a
cost-efficient way to enable operators to provide networks on an as-a-service
basis and meet the wide range of use cases that the fifth generation wireless
network will serve. The existing works on network slicing are mainly targeted
at the partiti... | [
{
"created": "Thu, 14 Sep 2017 08:03:20 GMT",
"version": "v1"
}
] | 2017-09-15 | [
[
"Xiang",
"Hongyu",
""
],
[
"Zhou",
"Wenan",
""
],
[
"Daneshmand",
"Mahmoud",
""
],
[
"Peng",
"Mugen",
""
]
] | Network slicing has been advocated by both academia and industry as a cost-efficient way to enable operators to provide networks on an as-a-service basis and meet the wide range of use cases that the fifth generation wireless network will serve. The existing works on network slicing are mainly targeted at the partition... |
1910.12832 | Kanthi Sarpatwar | Kanthi Sarpatwar and Karthikeyan Shanmugam and Venkata
Sitaramagiridharganesh Ganapavarapu and Ashish Jagmohan and Roman Vaculin | Differentially Private Distributed Data Summarization under Covariate
Shift | To appear in the 33rd Conference on Neural Information Processing
Systems (NeurIPS 2019), Vancouver, Canada | null | null | null | cs.LG cs.CR cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We envision AI marketplaces to be platforms where consumers, with very less
data for a target task, can obtain a relevant model by accessing many private
data sources with vast number of data samples. One of the key challenges is to
construct a training dataset that matches a target task without compromising on
priva... | [
{
"created": "Mon, 28 Oct 2019 17:45:12 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Jan 2020 15:47:05 GMT",
"version": "v2"
}
] | 2020-01-10 | [
[
"Sarpatwar",
"Kanthi",
""
],
[
"Shanmugam",
"Karthikeyan",
""
],
[
"Ganapavarapu",
"Venkata Sitaramagiridharganesh",
""
],
[
"Jagmohan",
"Ashish",
""
],
[
"Vaculin",
"Roman",
""
]
] | We envision AI marketplaces to be platforms where consumers, with very less data for a target task, can obtain a relevant model by accessing many private data sources with vast number of data samples. One of the key challenges is to construct a training dataset that matches a target task without compromising on privacy... |
1911.07304 | Konstantinos Spiliopoulos | Justin Sirignano and Konstantinos Spiliopoulos | Asymptotics of Reinforcement Learning with Neural Networks | arXiv admin note: text overlap with arXiv:1907.04108 | null | null | null | cs.LG math.PR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove that a single-layer neural network trained with the Q-learning
algorithm converges in distribution to a random ordinary differential equation
as the size of the model and the number of training steps become large.
Analysis of the limit differential equation shows that it has a unique
stationary solution whic... | [
{
"created": "Wed, 13 Nov 2019 13:27:32 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Nov 2020 02:20:03 GMT",
"version": "v2"
},
{
"created": "Wed, 3 Feb 2021 16:57:56 GMT",
"version": "v3"
},
{
"created": "Fri, 2 Apr 2021 19:15:17 GMT",
"version": "v4"
}
] | 2021-04-06 | [
[
"Sirignano",
"Justin",
""
],
[
"Spiliopoulos",
"Konstantinos",
""
]
] | We prove that a single-layer neural network trained with the Q-learning algorithm converges in distribution to a random ordinary differential equation as the size of the model and the number of training steps become large. Analysis of the limit differential equation shows that it has a unique stationary solution which ... |
1307.6702 | Emilio Leonardi | Valentina Martina and Michele Garetto and Emilio Leonardi | A unified approach to the performance analysis of caching systems | in ACM TOMPECS 20016. Preliminary version published at IEEE Infocom
2014 | null | null | null | cs.NI cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a unified methodology to analyse the performance of caches (both
isolated and interconnected), by extending and generalizing a decoupling
technique originally known as Che's approximation, which provides very accurate
results at low computational cost. We consider several caching policies, taking
into acco... | [
{
"created": "Thu, 25 Jul 2013 11:31:17 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Jul 2013 11:05:51 GMT",
"version": "v2"
},
{
"created": "Tue, 10 Sep 2013 07:38:38 GMT",
"version": "v3"
},
{
"created": "Wed, 22 Jan 2014 09:04:36 GMT",
"version": "v4"
},
{
"c... | 2016-02-26 | [
[
"Martina",
"Valentina",
""
],
[
"Garetto",
"Michele",
""
],
[
"Leonardi",
"Emilio",
""
]
] | We propose a unified methodology to analyse the performance of caches (both isolated and interconnected), by extending and generalizing a decoupling technique originally known as Che's approximation, which provides very accurate results at low computational cost. We consider several caching policies, taking into accoun... |
2402.15425 | Fan Sang | Jaehyuk Lee, Fan Sang, and Taesoo Kim | Prime+Retouch: When Cache is Locked and Leaked | null | null | null | null | cs.CR cs.AR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Caches on the modern commodity CPUs have become one of the major sources of
side-channel leakages and been abused as a new attack vector. To thwart the
cache-based side-channel attacks, two types of countermeasures have been
proposed: detection-based ones that limit the amount of microarchitectural
traces an attacker... | [
{
"created": "Fri, 23 Feb 2024 16:34:49 GMT",
"version": "v1"
}
] | 2024-02-26 | [
[
"Lee",
"Jaehyuk",
""
],
[
"Sang",
"Fan",
""
],
[
"Kim",
"Taesoo",
""
]
] | Caches on the modern commodity CPUs have become one of the major sources of side-channel leakages and been abused as a new attack vector. To thwart the cache-based side-channel attacks, two types of countermeasures have been proposed: detection-based ones that limit the amount of microarchitectural traces an attacker c... |
2001.05153 | Bum Jun Kim | Bum Jun Kim, Gyogwon Koo, Hyeyeon Choi, and Sang Woo Kim | Extending Class Activation Mapping Using Gaussian Receptive Field | 7 pages, 5 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the visualization task of deep learning models. To
improve Class Activation Mapping (CAM) based visualization method, we offer two
options. First, we propose Gaussian upsampling, an improved upsampling method
that can reflect the characteristics of deep learning models. Second, we
identify and mo... | [
{
"created": "Wed, 15 Jan 2020 07:04:07 GMT",
"version": "v1"
}
] | 2020-01-16 | [
[
"Kim",
"Bum Jun",
""
],
[
"Koo",
"Gyogwon",
""
],
[
"Choi",
"Hyeyeon",
""
],
[
"Kim",
"Sang Woo",
""
]
] | This paper addresses the visualization task of deep learning models. To improve Class Activation Mapping (CAM) based visualization method, we offer two options. First, we propose Gaussian upsampling, an improved upsampling method that can reflect the characteristics of deep learning models. Second, we identify and modi... |
2110.14164 | Geunseong Jung | Geunseong Jung, Sungjae Han, Hansung Kim, Kwanguk Kim, Jaehyuk Cha | Don't read, just look: Main content extraction from web pages using
visual features | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Extracting main content from web pages provides primary informative blocks
that remove a web page's minor areas like navigation menu, ads, and site
templates. The main content extraction has various applications: information
retrieval, search engine optimization, and browser reader mode. We assessed the
existing four... | [
{
"created": "Wed, 27 Oct 2021 04:43:12 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Jan 2022 00:54:09 GMT",
"version": "v2"
}
] | 2022-01-26 | [
[
"Jung",
"Geunseong",
""
],
[
"Han",
"Sungjae",
""
],
[
"Kim",
"Hansung",
""
],
[
"Kim",
"Kwanguk",
""
],
[
"Cha",
"Jaehyuk",
""
]
] | Extracting main content from web pages provides primary informative blocks that remove a web page's minor areas like navigation menu, ads, and site templates. The main content extraction has various applications: information retrieval, search engine optimization, and browser reader mode. We assessed the existing four m... |
1303.1354 | Chandramani Singh | Fran\c{c}ois Baccelli (INRIA Rocquencourt), Chandramani Singh (INRIA
Rocquencourt) | Adaptive Spatial Aloha, Fairness and Stochastic Geometry | null | null | null | null | cs.NI cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work aims at combining adaptive protocol design, utility maximization
and stochastic geometry. We focus on a spatial adaptation of Aloha within the
framework of ad hoc networks. We consider quasi-static networks in which
mobiles learn the local topology and incorporate this information to adapt
their medium acce... | [
{
"created": "Wed, 6 Mar 2013 15:28:00 GMT",
"version": "v1"
}
] | 2013-03-07 | [
[
"Baccelli",
"François",
"",
"INRIA Rocquencourt"
],
[
"Singh",
"Chandramani",
"",
"INRIA\n Rocquencourt"
]
] | This work aims at combining adaptive protocol design, utility maximization and stochastic geometry. We focus on a spatial adaptation of Aloha within the framework of ad hoc networks. We consider quasi-static networks in which mobiles learn the local topology and incorporate this information to adapt their medium access... |
2305.01904 | KiYoon Yoo | KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak | Robust Multi-bit Natural Language Watermarking through Invariant
Features | ACL 2023 long | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Recent years have witnessed a proliferation of valuable original natural
language contents found in subscription-based media outlets, web novel
platforms, and outputs of large language models. However, these contents are
susceptible to illegal piracy and potential misuse without proper security
measures. This calls f... | [
{
"created": "Wed, 3 May 2023 05:37:30 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Jun 2023 07:17:14 GMT",
"version": "v2"
}
] | 2023-06-12 | [
[
"Yoo",
"KiYoon",
""
],
[
"Ahn",
"Wonhyuk",
""
],
[
"Jang",
"Jiho",
""
],
[
"Kwak",
"Nojun",
""
]
] | Recent years have witnessed a proliferation of valuable original natural language contents found in subscription-based media outlets, web novel platforms, and outputs of large language models. However, these contents are susceptible to illegal piracy and potential misuse without proper security measures. This calls for... |
2403.11310 | Qucheng Peng | Qucheng Peng, Ce Zheng, Chen Chen | A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose
Estimation | Accepted by CVPR 2024 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | 3D human pose data collected in controlled laboratory settings present
challenges for pose estimators that generalize across diverse scenarios. To
address this, domain generalization is employed. Current methodologies in
domain generalization for 3D human pose estimation typically utilize
adversarial training to gene... | [
{
"created": "Sun, 17 Mar 2024 19:10:07 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Mar 2024 01:34:35 GMT",
"version": "v2"
}
] | 2024-03-21 | [
[
"Peng",
"Qucheng",
""
],
[
"Zheng",
"Ce",
""
],
[
"Chen",
"Chen",
""
]
] | 3D human pose data collected in controlled laboratory settings present challenges for pose estimators that generalize across diverse scenarios. To address this, domain generalization is employed. Current methodologies in domain generalization for 3D human pose estimation typically utilize adversarial training to genera... |
1706.05067 | Yichun Shi | Yichun Shi, Charles Otto and Anil K. Jain | Face Clustering: Representation and Pairwise Constraints | This second version is the same as TIFS version. Some experiment
results are different from v1 because we correct the protocols | IEEE Transactions on Information Forensics and Security ( Volume:
13, Issue: 7, July 2018 ) | 10.1109/TIFS.2018.2796999 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Clustering face images according to their identity has two important
applications: (i) grouping a collection of face images when no external labels
are associated with images, and (ii) indexing for efficient large scale face
retrieval. The clustering problem is composed of two key parts: face
representation and choic... | [
{
"created": "Thu, 15 Jun 2017 20:17:33 GMT",
"version": "v1"
},
{
"created": "Fri, 27 Jul 2018 01:13:07 GMT",
"version": "v2"
}
] | 2018-07-30 | [
[
"Shi",
"Yichun",
""
],
[
"Otto",
"Charles",
""
],
[
"Jain",
"Anil K.",
""
]
] | Clustering face images according to their identity has two important applications: (i) grouping a collection of face images when no external labels are associated with images, and (ii) indexing for efficient large scale face retrieval. The clustering problem is composed of two key parts: face representation and choice ... |
1908.02138 | Stevan Tomic | Stevan Tomic, Federico Pecora and Alessandro Saffiotti | Robby is Not a Robber (anymore): On the Use of Institutions for Learning
Normative Behavior | 16 pages, 11 figures, Submitted for publication | null | null | null | cs.LG cs.AI cs.CY cs.MA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Future robots should follow human social norms in order to be useful and
accepted in human society. In this paper, we leverage already existing social
knowledge in human societies by capturing it in our framework through the
notion of social norms. We show how norms can be used to guide a reinforcement
learning agent... | [
{
"created": "Thu, 1 Aug 2019 23:46:55 GMT",
"version": "v1"
}
] | 2019-08-07 | [
[
"Tomic",
"Stevan",
""
],
[
"Pecora",
"Federico",
""
],
[
"Saffiotti",
"Alessandro",
""
]
] | Future robots should follow human social norms in order to be useful and accepted in human society. In this paper, we leverage already existing social knowledge in human societies by capturing it in our framework through the notion of social norms. We show how norms can be used to guide a reinforcement learning agent t... |
1608.01756 | Chun-Hung Liu | Chun-Hung Liu and Kok Leong Fong | Fundamentals of the Downlink Green Coverage and Energy Efficiency in
Heterogeneous Networks | 16 pages, 6 figures, Journal | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the proposed green (energy-efficient) coverage
probability, link and network energy efficiencies in the downlink of a
heterogeneous cellular network (HetNet) consisting of $K$ independent Poisson
point processes (PPPs) of base stations (BSs). The important statistical
properties of the universal (g... | [
{
"created": "Fri, 5 Aug 2016 04:18:01 GMT",
"version": "v1"
}
] | 2016-08-08 | [
[
"Liu",
"Chun-Hung",
""
],
[
"Fong",
"Kok Leong",
""
]
] | This paper studies the proposed green (energy-efficient) coverage probability, link and network energy efficiencies in the downlink of a heterogeneous cellular network (HetNet) consisting of $K$ independent Poisson point processes (PPPs) of base stations (BSs). The important statistical properties of the universal (gen... |
2012.10877 | Nuo Chen | Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou | Adaptive Bi-directional Attention: Exploring Multi-Granularity
Representations for Machine Reading Comprehension | five paes, four figures | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Recently, the attention-enhanced multi-layer encoder, such as Transformer,
has been extensively studied in Machine Reading Comprehension (MRC). To predict
the answer, it is common practice to employ a predictor to draw information
only from the final encoder layer which generates the \textit{coarse-grained}
represent... | [
{
"created": "Sun, 20 Dec 2020 09:31:35 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Feb 2021 08:42:32 GMT",
"version": "v2"
}
] | 2021-02-03 | [
[
"Chen",
"Nuo",
""
],
[
"Liu",
"Fenglin",
""
],
[
"You",
"Chenyu",
""
],
[
"Zhou",
"Peilin",
""
],
[
"Zou",
"Yuexian",
""
]
] | Recently, the attention-enhanced multi-layer encoder, such as Transformer, has been extensively studied in Machine Reading Comprehension (MRC). To predict the answer, it is common practice to employ a predictor to draw information only from the final encoder layer which generates the \textit{coarse-grained} representat... |
2408.07884 | Yuxuan Lai | Yuxuan Lai, Yupeng Wu, Yidan Wang, Wenpeng Hu, Chen Zheng | Instruct Large Language Models to Generate Scientific Literature Survey
Step by Step | NLPCC 2024 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Abstract. Automatically generating scientific literature surveys is a
valuable task that can significantly enhance research efficiency. However, the
diverse and complex nature of information within a literature survey poses
substantial challenges for generative models. In this paper, we design a series
of prompts to ... | [
{
"created": "Thu, 15 Aug 2024 02:07:11 GMT",
"version": "v1"
}
] | 2024-08-16 | [
[
"Lai",
"Yuxuan",
""
],
[
"Wu",
"Yupeng",
""
],
[
"Wang",
"Yidan",
""
],
[
"Hu",
"Wenpeng",
""
],
[
"Zheng",
"Chen",
""
]
] | Abstract. Automatically generating scientific literature surveys is a valuable task that can significantly enhance research efficiency. However, the diverse and complex nature of information within a literature survey poses substantial challenges for generative models. In this paper, we design a series of prompts to sy... |
2403.03828 | Rushit Dave | Rushit Dave, Marcho Handoko, Ali Rashid, Cole Schoenbauer | From Clicks to Security: Investigating Continuous Authentication via
Mouse Dynamics | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | In the realm of computer security, the importance of efficient and reliable
user authentication methods has become increasingly critical. This paper
examines the potential of mouse movement dynamics as a consistent metric for
continuous authentication. By analyzing user mouse movement patterns in two
contrasting gami... | [
{
"created": "Wed, 6 Mar 2024 16:18:02 GMT",
"version": "v1"
}
] | 2024-03-07 | [
[
"Dave",
"Rushit",
""
],
[
"Handoko",
"Marcho",
""
],
[
"Rashid",
"Ali",
""
],
[
"Schoenbauer",
"Cole",
""
]
] | In the realm of computer security, the importance of efficient and reliable user authentication methods has become increasingly critical. This paper examines the potential of mouse movement dynamics as a consistent metric for continuous authentication. By analyzing user mouse movement patterns in two contrasting gaming... |
2401.12945 | Omer Bar-Tal | Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss,
Shiran Zada, Ariel Ephrat, Junhwa Hur, Guanghui Liu, Amit Raj, Yuanzhen Li,
Michael Rubinstein, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel,
Inbar Mosseri | Lumiere: A Space-Time Diffusion Model for Video Generation | Webpage: https://lumiere-video.github.io/ | Video:
https://www.youtube.com/watch?v=wxLr02Dz2Sc | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce Lumiere -- a text-to-video diffusion model designed for
synthesizing videos that portray realistic, diverse and coherent motion -- a
pivotal challenge in video synthesis. To this end, we introduce a Space-Time
U-Net architecture that generates the entire temporal duration of the video at
once, through a ... | [
{
"created": "Tue, 23 Jan 2024 18:05:25 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Feb 2024 16:36:30 GMT",
"version": "v2"
}
] | 2024-02-06 | [
[
"Bar-Tal",
"Omer",
""
],
[
"Chefer",
"Hila",
""
],
[
"Tov",
"Omer",
""
],
[
"Herrmann",
"Charles",
""
],
[
"Paiss",
"Roni",
""
],
[
"Zada",
"Shiran",
""
],
[
"Ephrat",
"Ariel",
""
],
[
"Hur",
"J... | We introduce Lumiere -- a text-to-video diffusion model designed for synthesizing videos that portray realistic, diverse and coherent motion -- a pivotal challenge in video synthesis. To this end, we introduce a Space-Time U-Net architecture that generates the entire temporal duration of the video at once, through a si... |
2101.11054 | Jennifer Jacobs | Gabrielle Benabdallah, Samuelle Bourgault, Nadya Peek, Jennifer Jacobs | Remote Learners, Home Makers: How Digital Fabrication Was Taught Online
During a Pandemic | to be published at CHI 2021 | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Digital fabrication courses that relied on physical makerspaces were severely
disrupted by COVID-19. As universities shut down in Spring 2020, instructors
developed new models for digital fabrication at a distance. Through interviews
with faculty and students and examination of course materials, we recount the
experi... | [
{
"created": "Tue, 26 Jan 2021 19:53:16 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Jan 2021 06:15:08 GMT",
"version": "v2"
}
] | 2021-04-13 | [
[
"Benabdallah",
"Gabrielle",
""
],
[
"Bourgault",
"Samuelle",
""
],
[
"Peek",
"Nadya",
""
],
[
"Jacobs",
"Jennifer",
""
]
] | Digital fabrication courses that relied on physical makerspaces were severely disrupted by COVID-19. As universities shut down in Spring 2020, instructors developed new models for digital fabrication at a distance. Through interviews with faculty and students and examination of course materials, we recount the experien... |
2303.15005 | Madalina Erascu | Andreea Postovan and M\u{a}d\u{a}lina Era\c{s}cu | Architecturing Binarized Neural Networks for Traffic Sign Recognition | null | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Traffic signs support road safety and managing the flow of traffic, hence are
an integral part of any vision system for autonomous driving. While the use of
deep learning is well-known in traffic signs classification due to the high
accuracy results obtained using convolutional neural networks (CNNs) (state of
the ar... | [
{
"created": "Mon, 27 Mar 2023 08:46:31 GMT",
"version": "v1"
}
] | 2023-03-28 | [
[
"Postovan",
"Andreea",
""
],
[
"Eraşcu",
"Mădălina",
""
]
] | Traffic signs support road safety and managing the flow of traffic, hence are an integral part of any vision system for autonomous driving. While the use of deep learning is well-known in traffic signs classification due to the high accuracy results obtained using convolutional neural networks (CNNs) (state of the art ... |
1803.06782 | Dakai Jin | Dakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura | White matter hyperintensity segmentation from T1 and FLAIR images using
fully convolutional neural networks enhanced with residual connections | IEEE International Symposium on Biomedical Imaging (ISBI) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Segmentation and quantification of white matter hyperintensities (WMHs) are
of great importance in studying and understanding various neurological and
geriatric disorders. Although automatic methods have been proposed for WMH
segmentation on magnetic resonance imaging (MRI), manual corrections are often
necessary to ... | [
{
"created": "Mon, 19 Mar 2018 02:07:00 GMT",
"version": "v1"
}
] | 2018-03-20 | [
[
"Jin",
"Dakai",
""
],
[
"Xu",
"Ziyue",
""
],
[
"Harrison",
"Adam P.",
""
],
[
"Mollura",
"Daniel J.",
""
]
] | Segmentation and quantification of white matter hyperintensities (WMHs) are of great importance in studying and understanding various neurological and geriatric disorders. Although automatic methods have been proposed for WMH segmentation on magnetic resonance imaging (MRI), manual corrections are often necessary to ac... |
2407.05593 | Calvin McCarter | Calvin McCarter | Unmasking Trees for Tabular Data | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We herein describe UnmaskingTrees, a method and open-source software package
for tabular data generation and, especially, imputation. Our experiments
suggest that training gradient-boosted trees to incrementally unmask features
offers a simple, strong baseline for imputation.
| [
{
"created": "Mon, 8 Jul 2024 04:15:43 GMT",
"version": "v1"
}
] | 2024-07-09 | [
[
"McCarter",
"Calvin",
""
]
] | We herein describe UnmaskingTrees, a method and open-source software package for tabular data generation and, especially, imputation. Our experiments suggest that training gradient-boosted trees to incrementally unmask features offers a simple, strong baseline for imputation. |
1809.03851 | Pieter Van Molle | Pieter Van Molle, Miguel De Strooper, Tim Verbelen, Bert
Vankeirsbilck, Pieter Simoens, Bart Dhoedt | Visualizing Convolutional Neural Networks to Improve Decision Support
for Skin Lesion Classification | 8 pages, 6 figures, Workshop on Interpretability of Machine
Intelligence in Medical Image Computing at MICCAI 2018 | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Because of their state-of-the-art performance in computer vision, CNNs are
becoming increasingly popular in a variety of fields, including medicine.
However, as neural networks are black box function approximators, it is
difficult, if not impossible, for a medical expert to reason about their
output. This could poten... | [
{
"created": "Tue, 11 Sep 2018 13:17:38 GMT",
"version": "v1"
}
] | 2018-09-12 | [
[
"Van Molle",
"Pieter",
""
],
[
"De Strooper",
"Miguel",
""
],
[
"Verbelen",
"Tim",
""
],
[
"Vankeirsbilck",
"Bert",
""
],
[
"Simoens",
"Pieter",
""
],
[
"Dhoedt",
"Bart",
""
]
] | Because of their state-of-the-art performance in computer vision, CNNs are becoming increasingly popular in a variety of fields, including medicine. However, as neural networks are black box function approximators, it is difficult, if not impossible, for a medical expert to reason about their output. This could potenti... |
1608.07799 | Deborah Cohen | David Cohen, Deborah Cohen, Yonina C. Eldar and Alexander M. Haimovich | SUMMeR: Sub-Nyquist MIMO Radar | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multiple input multiple output (MIMO) radar exhibits several advantages with
respect to traditional radar array systems in terms of flexibility and
performance. However, MIMO radar poses new challenges for both hardware design
and digital processing. In particular, achieving high azimuth resolution
requires a large n... | [
{
"created": "Sun, 28 Aug 2016 10:42:35 GMT",
"version": "v1"
}
] | 2016-08-30 | [
[
"Cohen",
"David",
""
],
[
"Cohen",
"Deborah",
""
],
[
"Eldar",
"Yonina C.",
""
],
[
"Haimovich",
"Alexander M.",
""
]
] | Multiple input multiple output (MIMO) radar exhibits several advantages with respect to traditional radar array systems in terms of flexibility and performance. However, MIMO radar poses new challenges for both hardware design and digital processing. In particular, achieving high azimuth resolution requires a large num... |
1905.11536 | Robert Porter | Robert Porter | OrderNet: Ordering by Example | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we introduce a new neural architecture for sorting unordered
sequences where the correct sequence order is not easily defined but must
rather be inferred from training data. We refer to this architecture as
OrderNet and describe how it was constructed to be naturally permutation
equivariant while still ... | [
{
"created": "Mon, 27 May 2019 23:09:35 GMT",
"version": "v1"
}
] | 2019-05-29 | [
[
"Porter",
"Robert",
""
]
] | In this paper we introduce a new neural architecture for sorting unordered sequences where the correct sequence order is not easily defined but must rather be inferred from training data. We refer to this architecture as OrderNet and describe how it was constructed to be naturally permutation equivariant while still al... |
2005.14229 | Celso A M Lopes Junior | Celso A. M. Lopes Junior, Matheus Henrique M. da Silva, Byron Leite
Dantas Bezerra, Bruno Jose Torres Fernandes, and Donato Impedovo | FCN+RL: A Fully Convolutional Network followed by Refinement Layers to
Offline Handwritten Signature Segmentation | 7 pages, 6 figures, Accepted at IJCNN 2020: International Joint
Conference on Neural Networks | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although secular, handwritten signature is one of the most reliable biometric
methods used by most countries. In the last ten years, the application of
technology for verification of handwritten signatures has evolved strongly,
including forensic aspects. Some factors, such as the complexity of the
background and the... | [
{
"created": "Thu, 28 May 2020 18:47:10 GMT",
"version": "v1"
}
] | 2020-06-01 | [
[
"Junior",
"Celso A. M. Lopes",
""
],
[
"da Silva",
"Matheus Henrique M.",
""
],
[
"Bezerra",
"Byron Leite Dantas",
""
],
[
"Fernandes",
"Bruno Jose Torres",
""
],
[
"Impedovo",
"Donato",
""
]
] | Although secular, handwritten signature is one of the most reliable biometric methods used by most countries. In the last ten years, the application of technology for verification of handwritten signatures has evolved strongly, including forensic aspects. Some factors, such as the complexity of the background and the s... |
1305.1422 | Peter Wittek | Peter Wittek, Shi Chao Gao, Ik Soo Lim, Li Zhao | Somoclu: An Efficient Parallel Library for Self-Organizing Maps | 26 pages, 9 figures. The code is available at
https://peterwittek.github.io/somoclu/ | Journal of Statistical Software, 78(9), 1-21 (2017) | 10.18637/jss.v078.i09 | null | cs.DC cs.MS cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Somoclu is a massively parallel tool for training self-organizing maps on
large data sets written in C++. It builds on OpenMP for multicore execution,
and on MPI for distributing the workload across the nodes in a cluster. It is
also able to boost training by using CUDA if graphics processing units are
available. A s... | [
{
"created": "Tue, 7 May 2013 06:43:26 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Jan 2015 12:40:08 GMT",
"version": "v2"
},
{
"created": "Mon, 11 Jan 2016 10:48:52 GMT",
"version": "v3"
},
{
"created": "Fri, 9 Jun 2017 14:03:01 GMT",
"version": "v4"
}
] | 2017-06-12 | [
[
"Wittek",
"Peter",
""
],
[
"Gao",
"Shi Chao",
""
],
[
"Lim",
"Ik Soo",
""
],
[
"Zhao",
"Li",
""
]
] | Somoclu is a massively parallel tool for training self-organizing maps on large data sets written in C++. It builds on OpenMP for multicore execution, and on MPI for distributing the workload across the nodes in a cluster. It is also able to boost training by using CUDA if graphics processing units are available. A spa... |
2302.01048 | Luigi Quaranta | Filippo Lanubile, Silverio Mart\'inez-Fern\'andez, Luigi Quaranta | Teaching MLOps in Higher Education through Project-Based Learning | Accepted in 2023 IEEE/ACM 45th International Conference on Software
Engineering: Software Engineering Education and Training (ICSE-SEET) | 2023 IEEE/ACM 45th International Conference on Software
Engineering: Software Engineering Education and Training (ICSE-SEET) | 10.1109/ICSE-SEET58685.2023.00015 | null | cs.SE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Building and maintaining production-grade ML-enabled components is a complex
endeavor that goes beyond the current approach of academic education, focused
on the optimization of ML model performance in the lab. In this paper, we
present a project-based learning approach to teaching MLOps, focused on the
demonstration... | [
{
"created": "Thu, 2 Feb 2023 12:22:30 GMT",
"version": "v1"
}
] | 2023-09-07 | [
[
"Lanubile",
"Filippo",
""
],
[
"Martínez-Fernández",
"Silverio",
""
],
[
"Quaranta",
"Luigi",
""
]
] | Building and maintaining production-grade ML-enabled components is a complex endeavor that goes beyond the current approach of academic education, focused on the optimization of ML model performance in the lab. In this paper, we present a project-based learning approach to teaching MLOps, focused on the demonstration a... |
2107.07677 | Khondker Fariha Hossain | Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei
Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker | ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional
Generative Adversarial Networks | Accepted to ICMLA 2021 | null | 10.1109/ICMLA52953.2021.00016 | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Electrocardiogram (ECG) acquisition requires an automated system and analysis
pipeline for understanding specific rhythm irregularities. Deep neural networks
have become a popular technique for tracing ECG signals, outperforming human
experts. Despite this, convolutional neural networks are susceptible to
adversarial... | [
{
"created": "Fri, 16 Jul 2021 02:53:14 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Oct 2021 03:23:07 GMT",
"version": "v2"
}
] | 2022-05-02 | [
[
"Hossain",
"Khondker Fariha",
""
],
[
"Kamran",
"Sharif Amit",
""
],
[
"Tavakkoli",
"Alireza",
""
],
[
"Pan",
"Lei",
""
],
[
"Ma",
"Xingjun",
""
],
[
"Rajasegarar",
"Sutharshan",
""
],
[
"Karmaker",
"Chandan",
... | Electrocardiogram (ECG) acquisition requires an automated system and analysis pipeline for understanding specific rhythm irregularities. Deep neural networks have become a popular technique for tracing ECG signals, outperforming human experts. Despite this, convolutional neural networks are susceptible to adversarial e... |
2205.03780 | Somdatta Goswami | Somdatta Goswami, David S. Li, Bruno V. Rego, Marcos Latorre, Jay D.
Humphrey, George Em Karniadakis | Neural operator learning of heterogeneous mechanobiological insults
contributing to aortic aneurysms | 37 Pages, 16 Figures | null | null | null | cs.LG q-bio.TO | http://creativecommons.org/licenses/by/4.0/ | Thoracic aortic aneurysm (TAA) is a localized dilatation of the aorta
resulting from compromised wall composition, structure, and function, which can
lead to life-threatening dissection or rupture. Several genetic mutations and
predisposing factors that contribute to TAA have been studied in mouse models
to character... | [
{
"created": "Sun, 8 May 2022 04:37:49 GMT",
"version": "v1"
}
] | 2022-05-11 | [
[
"Goswami",
"Somdatta",
""
],
[
"Li",
"David S.",
""
],
[
"Rego",
"Bruno V.",
""
],
[
"Latorre",
"Marcos",
""
],
[
"Humphrey",
"Jay D.",
""
],
[
"Karniadakis",
"George Em",
""
]
] | Thoracic aortic aneurysm (TAA) is a localized dilatation of the aorta resulting from compromised wall composition, structure, and function, which can lead to life-threatening dissection or rupture. Several genetic mutations and predisposing factors that contribute to TAA have been studied in mouse models to characteriz... |
1812.02925 | Zhihao Fang | Zhihao Fang, He Ma, Xuemin Zhu, Xutao Guo and Ruixin Zhou | SeFM: A Sequential Feature Point Matching Algorithm for Object 3D
Reconstruction | This is a pre-print of a contribution published in Frontier Computing
- Theory, Technologies and Applications (FC 2019) published by Springer | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | 3D reconstruction is a fundamental issue in many applications and the feature
point matching problem is a key step while reconstructing target objects.
Conventional algorithms can only find a small number of feature points from two
images which is quite insufficient for reconstruction. To overcome this
problem, we pr... | [
{
"created": "Fri, 7 Dec 2018 06:13:07 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Apr 2019 12:44:00 GMT",
"version": "v2"
},
{
"created": "Sun, 24 Nov 2019 10:37:23 GMT",
"version": "v3"
}
] | 2019-11-26 | [
[
"Fang",
"Zhihao",
""
],
[
"Ma",
"He",
""
],
[
"Zhu",
"Xuemin",
""
],
[
"Guo",
"Xutao",
""
],
[
"Zhou",
"Ruixin",
""
]
] | 3D reconstruction is a fundamental issue in many applications and the feature point matching problem is a key step while reconstructing target objects. Conventional algorithms can only find a small number of feature points from two images which is quite insufficient for reconstruction. To overcome this problem, we prop... |
1608.03402 | Lovro \v{S}ubelj | Tilen Marc, Lovro \v{S}ubelj | Convexity in complex networks | 27 pages, 11 figures, 3 tables | Netw. Sci. 6(2), 176-203 (2018) | 10.1017/nws.2017.37 | null | cs.SI math.MG physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Metric graph properties lie in the heart of the analysis of complex networks,
while in this paper we study their convexity through mathematical definition of
a convex subgraph. A subgraph is convex if every geodesic path between the
nodes of the subgraph lies entirely within the subgraph. According to our
perception ... | [
{
"created": "Thu, 11 Aug 2016 09:06:47 GMT",
"version": "v1"
},
{
"created": "Sat, 18 Mar 2017 12:19:14 GMT",
"version": "v2"
},
{
"created": "Thu, 11 May 2017 16:17:28 GMT",
"version": "v3"
}
] | 2018-05-31 | [
[
"Marc",
"Tilen",
""
],
[
"Šubelj",
"Lovro",
""
]
] | Metric graph properties lie in the heart of the analysis of complex networks, while in this paper we study their convexity through mathematical definition of a convex subgraph. A subgraph is convex if every geodesic path between the nodes of the subgraph lies entirely within the subgraph. According to our perception of... |
2404.01655 | Tao Hu | Tao Hu, Fangzhou Hong, Zhaoxi Chen, Ziwei Liu | FashionEngine: Interactive 3D Human Generation and Editing via
Multimodal Controls | Project Page: https://taohuumd.github.io/projects/FashionEngine | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present FashionEngine, an interactive 3D human generation and editing
system that creates 3D digital humans via user-friendly multimodal controls
such as natural languages, visual perceptions, and hand-drawing sketches.
FashionEngine automates the 3D human production with three key components: 1) A
pre-trained 3D ... | [
{
"created": "Tue, 2 Apr 2024 05:56:17 GMT",
"version": "v1"
},
{
"created": "Fri, 5 Apr 2024 03:15:11 GMT",
"version": "v2"
},
{
"created": "Mon, 20 May 2024 17:25:00 GMT",
"version": "v3"
}
] | 2024-05-21 | [
[
"Hu",
"Tao",
""
],
[
"Hong",
"Fangzhou",
""
],
[
"Chen",
"Zhaoxi",
""
],
[
"Liu",
"Ziwei",
""
]
] | We present FashionEngine, an interactive 3D human generation and editing system that creates 3D digital humans via user-friendly multimodal controls such as natural languages, visual perceptions, and hand-drawing sketches. FashionEngine automates the 3D human production with three key components: 1) A pre-trained 3D hu... |
2201.10398 | Tianxi Ji | Tianxi Ji, Changqing Luo, Lixing Yu, Qianlong Wang, Siheng Chen, Arun
Thapa, Pan Li | Energy-Efficient Computation Offloading in MobileEdge Computing Systems
with Uncertainties | null | null | null | null | cs.DC cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Computation offloading is indispensable for mobile edge computing (MEC). It
uses edge resources to enable intensive computations and save energy for
resource-constrained devices. Existing works generally impose strong
assumptions on radio channels and network queue sizes. However, practical MEC
systems are subject to... | [
{
"created": "Tue, 25 Jan 2022 15:32:20 GMT",
"version": "v1"
}
] | 2022-01-26 | [
[
"Ji",
"Tianxi",
""
],
[
"Luo",
"Changqing",
""
],
[
"Yu",
"Lixing",
""
],
[
"Wang",
"Qianlong",
""
],
[
"Chen",
"Siheng",
""
],
[
"Thapa",
"Arun",
""
],
[
"Li",
"Pan",
""
]
] | Computation offloading is indispensable for mobile edge computing (MEC). It uses edge resources to enable intensive computations and save energy for resource-constrained devices. Existing works generally impose strong assumptions on radio channels and network queue sizes. However, practical MEC systems are subject to v... |
2310.08584 | Shashanka Venkataramanan | Shashanka Venkataramanan, Mamshad Nayeem Rizve, Jo\~ao Carreira, Yuki
M. Asano, Yannis Avrithis | Is ImageNet worth 1 video? Learning strong image encoders from 1 long
unlabelled video | Accepted to ICLR 2024 (Best paper honorable mention). Project Page:
https://shashankvkt.github.io/dora | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Self-supervised learning has unlocked the potential of scaling up pretraining
to billions of images, since annotation is unnecessary. But are we making the
best use of data? How more economical can we be? In this work, we attempt to
answer this question by making two contributions. First, we investigate
first-person ... | [
{
"created": "Thu, 12 Oct 2023 17:59:55 GMT",
"version": "v1"
},
{
"created": "Thu, 23 May 2024 10:54:46 GMT",
"version": "v2"
}
] | 2024-05-24 | [
[
"Venkataramanan",
"Shashanka",
""
],
[
"Rizve",
"Mamshad Nayeem",
""
],
[
"Carreira",
"João",
""
],
[
"Asano",
"Yuki M.",
""
],
[
"Avrithis",
"Yannis",
""
]
] | Self-supervised learning has unlocked the potential of scaling up pretraining to billions of images, since annotation is unnecessary. But are we making the best use of data? How more economical can we be? In this work, we attempt to answer this question by making two contributions. First, we investigate first-person vi... |
2310.08148 | Jingru Gan | Jingru Gan, Xinzhe Han, Shuhui Wang, Qingming Huang | Open-Set Knowledge-Based Visual Question Answering with Inference Paths | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given an image and an associated textual question, the purpose of
Knowledge-Based Visual Question Answering (KB-VQA) is to provide a correct
answer to the question with the aid of external knowledge bases. Prior KB-VQA
models are usually formulated as a retriever-classifier framework, where a
pre-trained retriever ex... | [
{
"created": "Thu, 12 Oct 2023 09:12:50 GMT",
"version": "v1"
}
] | 2023-10-13 | [
[
"Gan",
"Jingru",
""
],
[
"Han",
"Xinzhe",
""
],
[
"Wang",
"Shuhui",
""
],
[
"Huang",
"Qingming",
""
]
] | Given an image and an associated textual question, the purpose of Knowledge-Based Visual Question Answering (KB-VQA) is to provide a correct answer to the question with the aid of external knowledge bases. Prior KB-VQA models are usually formulated as a retriever-classifier framework, where a pre-trained retriever extr... |
2208.08507 | Ashkan Ebadi | Ashkan Ebadi and Alain Auger and Yvan Gauthier | On the evolution of research in hypersonics: application of natural
language processing and machine learning | 18 pages, 9 figures | Archives of Advanced Engineering Science, 1-16 (2023) | 10.47852/bonviewAAES32021471 | null | cs.CL cs.CY cs.LG | http://creativecommons.org/licenses/by/4.0/ | Research and development in hypersonics have progressed significantly in
recent years, with various military and commercial applications being
demonstrated increasingly. Public and private organizations in several
countries have been investing in hypersonics, with the aim to overtake their
competitors and secure/impr... | [
{
"created": "Wed, 17 Aug 2022 19:57:31 GMT",
"version": "v1"
}
] | 2024-04-09 | [
[
"Ebadi",
"Ashkan",
""
],
[
"Auger",
"Alain",
""
],
[
"Gauthier",
"Yvan",
""
]
] | Research and development in hypersonics have progressed significantly in recent years, with various military and commercial applications being demonstrated increasingly. Public and private organizations in several countries have been investing in hypersonics, with the aim to overtake their competitors and secure/improv... |
1709.05745 | Haesol Park | Haesol Park and Kyoung Mu Lee | Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution
from a Blurred Image Sequence | accepted to ICCV 2017 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The conventional methods for estimating camera poses and scene structures
from severely blurry or low resolution images often result in failure. The
off-the-shelf deblurring or super-resolution methods may show visually pleasing
results. However, applying each technique independently before matching is
generally unpr... | [
{
"created": "Mon, 18 Sep 2017 02:24:31 GMT",
"version": "v1"
}
] | 2017-09-19 | [
[
"Park",
"Haesol",
""
],
[
"Lee",
"Kyoung Mu",
""
]
] | The conventional methods for estimating camera poses and scene structures from severely blurry or low resolution images often result in failure. The off-the-shelf deblurring or super-resolution methods may show visually pleasing results. However, applying each technique independently before matching is generally unprof... |
1905.08494 | Patrick Kidger | Patric Bonnier and Patrick Kidger and Imanol Perez Arribas and
Cristopher Salvi and Terry Lyons | Deep Signature Transforms | Published at NeurIPS 2019 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The signature is an infinite graded sequence of statistics known to
characterise a stream of data up to a negligible equivalence class. It is a
transform which has previously been treated as a fixed feature transformation,
on top of which a model may be built. We propose a novel approach which
combines the advantages... | [
{
"created": "Tue, 21 May 2019 08:39:55 GMT",
"version": "v1"
},
{
"created": "Sat, 26 Oct 2019 20:51:43 GMT",
"version": "v2"
}
] | 2019-10-29 | [
[
"Bonnier",
"Patric",
""
],
[
"Kidger",
"Patrick",
""
],
[
"Arribas",
"Imanol Perez",
""
],
[
"Salvi",
"Cristopher",
""
],
[
"Lyons",
"Terry",
""
]
] | The signature is an infinite graded sequence of statistics known to characterise a stream of data up to a negligible equivalence class. It is a transform which has previously been treated as a fixed feature transformation, on top of which a model may be built. We propose a novel approach which combines the advantages o... |
2211.04686 | Pedro Faustini | Pedro Faustini, Natasha Fernandes, Shakila Tonni, Annabelle McIver,
Mark Dras | Directional Privacy for Deep Learning | null | null | null | null | cs.LG cs.CR | http://creativecommons.org/licenses/by/4.0/ | Differentially Private Stochastic Gradient Descent (DP-SGD) is a key method
for applying privacy in the training of deep learning models. It applies
isotropic Gaussian noise to gradients during training, which can perturb these
gradients in any direction, damaging utility. Metric DP, however, can provide
alternative ... | [
{
"created": "Wed, 9 Nov 2022 05:18:08 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Jun 2023 02:27:19 GMT",
"version": "v2"
},
{
"created": "Mon, 27 Nov 2023 03:07:32 GMT",
"version": "v3"
}
] | 2023-11-28 | [
[
"Faustini",
"Pedro",
""
],
[
"Fernandes",
"Natasha",
""
],
[
"Tonni",
"Shakila",
""
],
[
"McIver",
"Annabelle",
""
],
[
"Dras",
"Mark",
""
]
] | Differentially Private Stochastic Gradient Descent (DP-SGD) is a key method for applying privacy in the training of deep learning models. It applies isotropic Gaussian noise to gradients during training, which can perturb these gradients in any direction, damaging utility. Metric DP, however, can provide alternative me... |
1711.07580 | Deguang Kong | Deguang Kong | Science Driven Innovations Powering Mobile Product: Cloud AI vs. Device
AI Solutions on Smart Device | null | null | null | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Recent years have witnessed the increasing popularity of mobile devices (such
as iphone) due to the convenience that it brings to human lives. On one hand,
rich user profiling and behavior data (including per-app level, app-interaction
level and system-interaction level) from heterogeneous information sources make
it... | [
{
"created": "Mon, 20 Nov 2017 23:42:34 GMT",
"version": "v1"
}
] | 2017-11-22 | [
[
"Kong",
"Deguang",
""
]
] | Recent years have witnessed the increasing popularity of mobile devices (such as iphone) due to the convenience that it brings to human lives. On one hand, rich user profiling and behavior data (including per-app level, app-interaction level and system-interaction level) from heterogeneous information sources make it p... |
1908.05604 | Ye Liu | Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu | Generative Question Refinement with Deep Reinforcement Learning in
Retrieval-based QA System | CIKM 2019 | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In real-world question-answering (QA) systems, ill-formed questions, such as
wrong words, ill word order, and noisy expressions, are common and may prevent
the QA systems from understanding and answering them accurately. In order to
eliminate the effect of ill-formed questions, we approach the question
refinement tas... | [
{
"created": "Tue, 13 Aug 2019 05:06:42 GMT",
"version": "v1"
},
{
"created": "Tue, 27 Aug 2019 04:03:05 GMT",
"version": "v2"
},
{
"created": "Wed, 9 Oct 2019 04:38:34 GMT",
"version": "v3"
}
] | 2019-10-10 | [
[
"Liu",
"Ye",
""
],
[
"Zhang",
"Chenwei",
""
],
[
"Yan",
"Xiaohui",
""
],
[
"Chang",
"Yi",
""
],
[
"Yu",
"Philip S.",
""
]
] | In real-world question-answering (QA) systems, ill-formed questions, such as wrong words, ill word order, and noisy expressions, are common and may prevent the QA systems from understanding and answering them accurately. In order to eliminate the effect of ill-formed questions, we approach the question refinement task ... |
2010.11546 | Felix I. Stamm | Felix I. Stamm, Leonie Neuh\"auser, Florian Lemmerich, Michael T.
Schaub, Markus Strohmaier | Simulating systematic bias in attributed social networks and its effect
on rankings of minority nodes | null | Appl Netw Sci 6, 86 (2021) | 10.1007/s41109-021-00425-z | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network analysis provides powerful tools to learn about a variety of social
systems. However, most analyses implicitly assume that the considered
relational data is error-free, reliable and accurately reflects the system to
be analysed. Especially if the network consists of multiple groups, this
assumption conflicts ... | [
{
"created": "Thu, 22 Oct 2020 09:17:26 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Jul 2021 16:26:12 GMT",
"version": "v2"
}
] | 2022-01-12 | [
[
"Stamm",
"Felix I.",
""
],
[
"Neuhäuser",
"Leonie",
""
],
[
"Lemmerich",
"Florian",
""
],
[
"Schaub",
"Michael T.",
""
],
[
"Strohmaier",
"Markus",
""
]
] | Network analysis provides powerful tools to learn about a variety of social systems. However, most analyses implicitly assume that the considered relational data is error-free, reliable and accurately reflects the system to be analysed. Especially if the network consists of multiple groups, this assumption conflicts wi... |
2007.14761 | Sebastian Bruch | Sebastian Bruch, Jan Pfeifer, Mathieu Guillame-bert | Learning Representations for Axis-Aligned Decision Forests through Input
Perturbation | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Axis-aligned decision forests have long been the leading class of machine
learning algorithms for modeling tabular data. In many applications of machine
learning such as learning-to-rank, decision forests deliver remarkable
performance. They also possess other coveted characteristics such as
interpretability. Despite... | [
{
"created": "Wed, 29 Jul 2020 11:56:38 GMT",
"version": "v1"
},
{
"created": "Mon, 21 Sep 2020 16:37:19 GMT",
"version": "v2"
}
] | 2020-09-22 | [
[
"Bruch",
"Sebastian",
""
],
[
"Pfeifer",
"Jan",
""
],
[
"Guillame-bert",
"Mathieu",
""
]
] | Axis-aligned decision forests have long been the leading class of machine learning algorithms for modeling tabular data. In many applications of machine learning such as learning-to-rank, decision forests deliver remarkable performance. They also possess other coveted characteristics such as interpretability. Despite t... |
2007.08631 | Shusen Liu | Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily
Robertson, Donald Loveland, T. Yong-Jin Han | Explainable Deep Learning for Uncovering Actionable Scientific Insights
for Materials Discovery and Design | null | null | null | LLNL-JRNL-811201 | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The scientific community has been increasingly interested in harnessing the
power of deep learning to solve various domain challenges. However, despite the
effectiveness in building predictive models, fundamental challenges exist in
extracting actionable knowledge from deep neural networks due to their opaque
nature.... | [
{
"created": "Thu, 16 Jul 2020 20:53:40 GMT",
"version": "v1"
}
] | 2020-07-20 | [
[
"Liu",
"Shusen",
""
],
[
"Kailkhura",
"Bhavya",
""
],
[
"Zhang",
"Jize",
""
],
[
"Hiszpanski",
"Anna M.",
""
],
[
"Robertson",
"Emily",
""
],
[
"Loveland",
"Donald",
""
],
[
"Han",
"T. Yong-Jin",
""
]
] | The scientific community has been increasingly interested in harnessing the power of deep learning to solve various domain challenges. However, despite the effectiveness in building predictive models, fundamental challenges exist in extracting actionable knowledge from deep neural networks due to their opaque nature. I... |
1904.04469 | Deekshith P K | Deekshith P K, K Gautam Shenoy and Vinod Sharma | Second Order and Moderate Deviation Analysis of a Block Fading Channel
with Deterministic and Energy Harvesting Power Constraints | 30 pages, 5 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a block fading additive white Gaussian noise (AWGN) channel with
perfect channel state information (CSI) at the transmitter and the receiver.
First, for a given codeword length and non-vanishing average probability of
error, we obtain lower and upper bounds on the maximum transmission rate. We
derive boun... | [
{
"created": "Tue, 9 Apr 2019 05:23:49 GMT",
"version": "v1"
}
] | 2019-04-10 | [
[
"K",
"Deekshith P",
""
],
[
"Shenoy",
"K Gautam",
""
],
[
"Sharma",
"Vinod",
""
]
] | We consider a block fading additive white Gaussian noise (AWGN) channel with perfect channel state information (CSI) at the transmitter and the receiver. First, for a given codeword length and non-vanishing average probability of error, we obtain lower and upper bounds on the maximum transmission rate. We derive bounds... |
2106.02312 | Avraham N. Trahtman | A.N. Trahtman | Verification Tools for Checking some kinds of Testability | 14 pages, 6 figures, Algebraic Methods in Language Processing, 2003 | Verification of algorithms for checking some kinds of testability.
In Algebraic Methods in Language Processing, TWLT 21, eds. F.Spoto, 21(2003),
253-263 | null | null | cs.FL cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A locally testable language L is a language with the property that for some
non negative integer k, called the order of local testability, whether or not a
word u is in the language L depends on (1) the prefix and suffix of the word u
of length k + 1 and (2) the set of intermediate substrings of length k of the
word ... | [
{
"created": "Fri, 4 Jun 2021 07:44:25 GMT",
"version": "v1"
}
] | 2021-06-07 | [
[
"Trahtman",
"A. N.",
""
]
] | A locally testable language L is a language with the property that for some non negative integer k, called the order of local testability, whether or not a word u is in the language L depends on (1) the prefix and suffix of the word u of length k + 1 and (2) the set of intermediate substrings of length k of the word u.... |
2011.14960 | Kamil Deja | Kamil Deja, Pawe{\l} Wawrzy\'nski, Daniel Marczak, Wojciech Masarczyk,
Tomasz Trzci\'nski | BinPlay: A Binary Latent Autoencoder for Generative Replay Continual
Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a binary latent space autoencoder architecture to rehearse
training samples for the continual learning of neural networks. The ability to
extend the knowledge of a model with new data without forgetting previously
learned samples is a fundamental requirement in continual learning. Existing
solutions addr... | [
{
"created": "Wed, 25 Nov 2020 08:50:58 GMT",
"version": "v1"
}
] | 2020-12-01 | [
[
"Deja",
"Kamil",
""
],
[
"Wawrzyński",
"Paweł",
""
],
[
"Marczak",
"Daniel",
""
],
[
"Masarczyk",
"Wojciech",
""
],
[
"Trzciński",
"Tomasz",
""
]
] | We introduce a binary latent space autoencoder architecture to rehearse training samples for the continual learning of neural networks. The ability to extend the knowledge of a model with new data without forgetting previously learned samples is a fundamental requirement in continual learning. Existing solutions addres... |
2210.07271 | Thomas Chun Pong Chau | Thomas Chun Pong Chau, {\L}ukasz Dudziak, Hongkai Wen, Nicholas Donald
Lane, Mohamed S Abdelfattah | BLOX: Macro Neural Architecture Search Benchmark and Algorithms | Published in the Proceedings of the 36th Conference on Neural
Information Processing Systems (NeurIPS 2022) Track on Datasets and
Benchmarks | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural architecture search (NAS) has been successfully used to design
numerous high-performance neural networks. However, NAS is typically
compute-intensive, so most existing approaches restrict the search to decide
the operations and topological structure of a single block only, then the same
block is stacked repeat... | [
{
"created": "Thu, 13 Oct 2022 18:06:39 GMT",
"version": "v1"
}
] | 2022-10-17 | [
[
"Chau",
"Thomas Chun Pong",
""
],
[
"Dudziak",
"Łukasz",
""
],
[
"Wen",
"Hongkai",
""
],
[
"Lane",
"Nicholas Donald",
""
],
[
"Abdelfattah",
"Mohamed S",
""
]
] | Neural architecture search (NAS) has been successfully used to design numerous high-performance neural networks. However, NAS is typically compute-intensive, so most existing approaches restrict the search to decide the operations and topological structure of a single block only, then the same block is stacked repeated... |
2204.01244 | Bohan Zhuang | Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao,
Bohan Zhuang | Dynamic Focus-aware Positional Queries for Semantic Segmentation | CVPR 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The DETR-like segmentors have underpinned the most recent breakthroughs in
semantic segmentation, which end-to-end train a set of queries representing the
class prototypes or target segments. Recently, masked attention is proposed to
restrict each query to only attend to the foreground regions predicted by the
preced... | [
{
"created": "Mon, 4 Apr 2022 05:16:41 GMT",
"version": "v1"
},
{
"created": "Mon, 21 Nov 2022 02:56:14 GMT",
"version": "v2"
},
{
"created": "Tue, 28 Mar 2023 02:42:17 GMT",
"version": "v3"
}
] | 2023-03-29 | [
[
"He",
"Haoyu",
""
],
[
"Cai",
"Jianfei",
""
],
[
"Pan",
"Zizheng",
""
],
[
"Liu",
"Jing",
""
],
[
"Zhang",
"Jing",
""
],
[
"Tao",
"Dacheng",
""
],
[
"Zhuang",
"Bohan",
""
]
] | The DETR-like segmentors have underpinned the most recent breakthroughs in semantic segmentation, which end-to-end train a set of queries representing the class prototypes or target segments. Recently, masked attention is proposed to restrict each query to only attend to the foreground regions predicted by the precedin... |
2211.12798 | Wenbin Gan | Wenbin Gan, Minh-Son Dao, Koji Zettsu | An Open Case-based Reasoning Framework for Personalized On-board Driving
Assistance in Risk Scenarios | 10 pahes, 8 figures, 4 tables, accepted by IEEE BigData 2022 | null | null | null | cs.CY cs.AI cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Driver reaction is of vital importance in risk scenarios. Drivers can take
correct evasive maneuver at proper cushion time to avoid the potential traffic
crashes, but this reaction process is highly experience-dependent and requires
various levels of driving skills. To improve driving safety and avoid the
traffic acc... | [
{
"created": "Wed, 23 Nov 2022 09:28:28 GMT",
"version": "v1"
}
] | 2022-11-24 | [
[
"Gan",
"Wenbin",
""
],
[
"Dao",
"Minh-Son",
""
],
[
"Zettsu",
"Koji",
""
]
] | Driver reaction is of vital importance in risk scenarios. Drivers can take correct evasive maneuver at proper cushion time to avoid the potential traffic crashes, but this reaction process is highly experience-dependent and requires various levels of driving skills. To improve driving safety and avoid the traffic accid... |
2308.16586 | Xunzhu Tang | Xunzhu Tang and Haoye Tian and Zhenghan Chen and Weiguo Pian and Saad
Ezzini and Abdoul Kader Kabore and Andrew Habib and Jacques Klein and
Tegawende F. Bissyande | Learning to Represent Patches | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Patch representation is crucial in automating various software engineering
tasks, like determining patch accuracy or summarizing code changes. While
recent research has employed deep learning for patch representation, focusing
on token sequences or Abstract Syntax Trees (ASTs), they often miss the
change's semantic i... | [
{
"created": "Thu, 31 Aug 2023 09:34:38 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Oct 2023 23:00:33 GMT",
"version": "v2"
}
] | 2023-10-05 | [
[
"Tang",
"Xunzhu",
""
],
[
"Tian",
"Haoye",
""
],
[
"Chen",
"Zhenghan",
""
],
[
"Pian",
"Weiguo",
""
],
[
"Ezzini",
"Saad",
""
],
[
"Kabore",
"Abdoul Kader",
""
],
[
"Habib",
"Andrew",
""
],
[
"Klein... | Patch representation is crucial in automating various software engineering tasks, like determining patch accuracy or summarizing code changes. While recent research has employed deep learning for patch representation, focusing on token sequences or Abstract Syntax Trees (ASTs), they often miss the change's semantic int... |
1907.01452 | Ruizheng Wu | Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia | Attribute-Driven Spontaneous Motion in Unpaired Image Translation | Accepted by ICCV 2019 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current image translation methods, albeit effective to produce high-quality
results in various applications, still do not consider much geometric
transform. We in this paper propose the spontaneous motion estimation module,
along with a refinement part, to learn attribute-driven deformation between
source and target ... | [
{
"created": "Tue, 2 Jul 2019 15:32:25 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Oct 2019 09:25:20 GMT",
"version": "v2"
}
] | 2019-10-14 | [
[
"Wu",
"Ruizheng",
""
],
[
"Tao",
"Xin",
""
],
[
"Gu",
"Xiaodong",
""
],
[
"Shen",
"Xiaoyong",
""
],
[
"Jia",
"Jiaya",
""
]
] | Current image translation methods, albeit effective to produce high-quality results in various applications, still do not consider much geometric transform. We in this paper propose the spontaneous motion estimation module, along with a refinement part, to learn attribute-driven deformation between source and target do... |
2102.08885 | Marek Eli\'a\v{s} | Mark Bun, Marek Eli\'a\v{s}, Janardhan Kulkarni | Differentially Private Correlation Clustering | null | null | null | null | cs.LG cs.CR cs.DS | http://creativecommons.org/licenses/by/4.0/ | Correlation clustering is a widely used technique in unsupervised machine
learning. Motivated by applications where individual privacy is a concern, we
initiate the study of differentially private correlation clustering. We propose
an algorithm that achieves subquadratic additive error compared to the optimal
cost. I... | [
{
"created": "Wed, 17 Feb 2021 17:27:48 GMT",
"version": "v1"
}
] | 2021-02-18 | [
[
"Bun",
"Mark",
""
],
[
"Eliáš",
"Marek",
""
],
[
"Kulkarni",
"Janardhan",
""
]
] | Correlation clustering is a widely used technique in unsupervised machine learning. Motivated by applications where individual privacy is a concern, we initiate the study of differentially private correlation clustering. We propose an algorithm that achieves subquadratic additive error compared to the optimal cost. In ... |
2302.09949 | Stefan Druc | Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar,
Aditya Balu | SpecXAI -- Spectral interpretability of Deep Learning Models | null | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning is becoming increasingly adopted in business and industry due
to its ability to transform large quantities of data into high-performing
models. These models, however, are generally regarded as black boxes, which, in
spite of their performance, could prevent their use. In this context, the field
of eXpla... | [
{
"created": "Mon, 20 Feb 2023 12:36:54 GMT",
"version": "v1"
}
] | 2023-02-21 | [
[
"Druc",
"Stefan",
""
],
[
"Wooldridge",
"Peter",
""
],
[
"Krishnamurthy",
"Adarsh",
""
],
[
"Sarkar",
"Soumik",
""
],
[
"Balu",
"Aditya",
""
]
] | Deep learning is becoming increasingly adopted in business and industry due to its ability to transform large quantities of data into high-performing models. These models, however, are generally regarded as black boxes, which, in spite of their performance, could prevent their use. In this context, the field of eXplain... |
1510.05205 | An Liu Dr | An Liu and Vincent Lau | Asymptotic Scaling Laws of Wireless Adhoc Network with Physical Layer
Caching | 15 pages, 12 figures, accepted by IEEE Transactions on Wireless
Communications | null | null | null | cs.IT cs.NI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a physical layer (PHY) caching scheme for wireless adhoc networks.
The PHY caching exploits cache-assisted multihop gain and cache-induced
dual-layer CoMP gain, which substantially improves the throughput of wireless
adhoc networks. In particular, the PHY caching scheme contains a novel PHY
transmission mo... | [
{
"created": "Sun, 18 Oct 2015 07:39:49 GMT",
"version": "v1"
}
] | 2015-10-20 | [
[
"Liu",
"An",
""
],
[
"Lau",
"Vincent",
""
]
] | We propose a physical layer (PHY) caching scheme for wireless adhoc networks. The PHY caching exploits cache-assisted multihop gain and cache-induced dual-layer CoMP gain, which substantially improves the throughput of wireless adhoc networks. In particular, the PHY caching scheme contains a novel PHY transmission mode... |
2112.14316 | Sayan Rakshit | Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma
Roig, Subhasis Chaudhuri | FRIDA -- Generative Feature Replay for Incremental Domain Adaptation | Accepted at CVIU (7th January 2022) | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | We tackle the novel problem of incremental unsupervised domain adaptation
(IDA) in this paper. We assume that a labeled source domain and different
unlabeled target domains are incrementally observed with the constraint that
data corresponding to the current domain is only available at a time. The goal
is to preserve... | [
{
"created": "Tue, 28 Dec 2021 22:24:32 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Jan 2022 14:47:02 GMT",
"version": "v2"
}
] | 2022-01-12 | [
[
"Rakshit",
"Sayan",
""
],
[
"Mohanty",
"Anwesh",
""
],
[
"Chavhan",
"Ruchika",
""
],
[
"Banerjee",
"Biplab",
""
],
[
"Roig",
"Gemma",
""
],
[
"Chaudhuri",
"Subhasis",
""
]
] | We tackle the novel problem of incremental unsupervised domain adaptation (IDA) in this paper. We assume that a labeled source domain and different unlabeled target domains are incrementally observed with the constraint that data corresponding to the current domain is only available at a time. The goal is to preserve t... |
1901.09355 | Vasileios Nakos | Vasileios Nakos | Nearly Optimal Sparse Polynomial Multiplication | Accepted to IEEE Transactions on Information Theory | null | null | null | cs.SC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the sparse polynomial multiplication problem, one is asked to multiply two
sparse polynomials f and g in time that is proportional to the size of the
input plus the size of the output. The polynomials are given via lists of their
coefficients F and G, respectively. Cole and Hariharan (STOC 02) have given a
nearly ... | [
{
"created": "Sun, 27 Jan 2019 11:43:59 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Apr 2019 16:46:41 GMT",
"version": "v2"
},
{
"created": "Sat, 27 Jul 2019 20:51:24 GMT",
"version": "v3"
},
{
"created": "Sat, 7 Dec 2019 17:42:50 GMT",
"version": "v4"
},
{
"cr... | 2020-04-22 | [
[
"Nakos",
"Vasileios",
""
]
] | In the sparse polynomial multiplication problem, one is asked to multiply two sparse polynomials f and g in time that is proportional to the size of the input plus the size of the output. The polynomials are given via lists of their coefficients F and G, respectively. Cole and Hariharan (STOC 02) have given a nearly op... |
2111.03017 | Joshua Gardner | Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse Engel | MT3: Multi-Task Multitrack Music Transcription | ICLR 2022 camera-ready version | null | null | null | cs.SD cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | Automatic Music Transcription (AMT), inferring musical notes from raw audio,
is a challenging task at the core of music understanding. Unlike Automatic
Speech Recognition (ASR), which typically focuses on the words of a single
speaker, AMT often requires transcribing multiple instruments simultaneously,
all while pre... | [
{
"created": "Thu, 4 Nov 2021 17:19:39 GMT",
"version": "v1"
},
{
"created": "Wed, 10 Nov 2021 00:30:59 GMT",
"version": "v2"
},
{
"created": "Fri, 17 Dec 2021 00:40:21 GMT",
"version": "v3"
},
{
"created": "Tue, 15 Mar 2022 17:13:12 GMT",
"version": "v4"
}
] | 2022-03-16 | [
[
"Gardner",
"Josh",
""
],
[
"Simon",
"Ian",
""
],
[
"Manilow",
"Ethan",
""
],
[
"Hawthorne",
"Curtis",
""
],
[
"Engel",
"Jesse",
""
]
] | Automatic Music Transcription (AMT), inferring musical notes from raw audio, is a challenging task at the core of music understanding. Unlike Automatic Speech Recognition (ASR), which typically focuses on the words of a single speaker, AMT often requires transcribing multiple instruments simultaneously, all while prese... |
2302.00916 | Gerasimos Arvanitis | Gerasimos Arvanitis, Nikolaos Stagakis, Evangelia I. Zacharaki,
Konstantinos Moustakas | Cooperative Saliency-based Obstacle Detection and AR Rendering for
Increased Situational Awareness | null | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by/4.0/ | Autonomous vehicles are expected to operate safely in real-life road
conditions in the next years. Nevertheless, unanticipated events such as the
existence of unexpected objects in the range of the road, can put safety at
risk. The advancement of sensing and communication technologies and Internet of
Things may facil... | [
{
"created": "Thu, 2 Feb 2023 07:32:13 GMT",
"version": "v1"
}
] | 2023-02-03 | [
[
"Arvanitis",
"Gerasimos",
""
],
[
"Stagakis",
"Nikolaos",
""
],
[
"Zacharaki",
"Evangelia I.",
""
],
[
"Moustakas",
"Konstantinos",
""
]
] | Autonomous vehicles are expected to operate safely in real-life road conditions in the next years. Nevertheless, unanticipated events such as the existence of unexpected objects in the range of the road, can put safety at risk. The advancement of sensing and communication technologies and Internet of Things may facilit... |
2208.14865 | Xutong Liu | Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C.S. Lui | Federated Online Clustering of Bandits | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Contextual multi-armed bandit (MAB) is an important sequential
decision-making problem in recommendation systems. A line of works, called the
clustering of bandits (CLUB), utilize the collaborative effect over users and
dramatically improve the recommendation quality. Owing to the increasing
application scale and pub... | [
{
"created": "Wed, 31 Aug 2022 13:46:02 GMT",
"version": "v1"
}
] | 2022-09-01 | [
[
"Liu",
"Xutong",
""
],
[
"Zhao",
"Haoru",
""
],
[
"Yu",
"Tong",
""
],
[
"Li",
"Shuai",
""
],
[
"Lui",
"John C. S.",
""
]
] | Contextual multi-armed bandit (MAB) is an important sequential decision-making problem in recommendation systems. A line of works, called the clustering of bandits (CLUB), utilize the collaborative effect over users and dramatically improve the recommendation quality. Owing to the increasing application scale and publi... |
2304.09286 | Young-Ho Kim | Young-Ho Kim and \`Eric Lluch and Gulsun Mehmet and Florin C. Ghesu
and Ankur Kapoor | AI-based Agents for Automated Robotic Endovascular Guidewire
Manipulation | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Endovascular guidewire manipulation is essential for minimally-invasive
clinical applications (Percutaneous Coronary Intervention (PCI), Mechanical
thrombectomy techniques for acute ischemic stroke (AIS), or Transjugular
intrahepatic portosystemic shunt (TIPS)). All procedures commonly require 3D
vessel geometries fr... | [
{
"created": "Tue, 18 Apr 2023 20:53:25 GMT",
"version": "v1"
}
] | 2023-04-20 | [
[
"Kim",
"Young-Ho",
""
],
[
"Lluch",
"Èric",
""
],
[
"Mehmet",
"Gulsun",
""
],
[
"Ghesu",
"Florin C.",
""
],
[
"Kapoor",
"Ankur",
""
]
] | Endovascular guidewire manipulation is essential for minimally-invasive clinical applications (Percutaneous Coronary Intervention (PCI), Mechanical thrombectomy techniques for acute ischemic stroke (AIS), or Transjugular intrahepatic portosystemic shunt (TIPS)). All procedures commonly require 3D vessel geometries from... |
2107.06817 | Michael Leybovich | Michael Leybovich and Oded Shmueli | Efficient Approximate Search for Sets of Vectors | 8 pages, 1 figure | null | null | null | cs.DS cs.AI cs.DB | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We consider a similarity measure between two sets $A$ and $B$ of vectors,
that balances the average and maximum cosine distance between pairs of vectors,
one from set $A$ and one from set $B$. As a motivation for this measure, we
present lineage tracking in a database. To practically realize this measure, we
need an ... | [
{
"created": "Wed, 14 Jul 2021 16:22:20 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Aug 2021 16:19:42 GMT",
"version": "v2"
}
] | 2021-08-31 | [
[
"Leybovich",
"Michael",
""
],
[
"Shmueli",
"Oded",
""
]
] | We consider a similarity measure between two sets $A$ and $B$ of vectors, that balances the average and maximum cosine distance between pairs of vectors, one from set $A$ and one from set $B$. As a motivation for this measure, we present lineage tracking in a database. To practically realize this measure, we need an ap... |
2306.05233 | Hailong Hu | Hailong Hu, Jun Pang | Ownership Protection of Generative Adversarial Networks | null | null | null | null | cs.CR cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Generative adversarial networks (GANs) have shown remarkable success in image
synthesis, making GAN models themselves commercially valuable to legitimate
model owners. Therefore, it is critical to technically protect the intellectual
property of GANs. Prior works need to tamper with the training set or training
proce... | [
{
"created": "Thu, 8 Jun 2023 14:31:58 GMT",
"version": "v1"
}
] | 2023-06-09 | [
[
"Hu",
"Hailong",
""
],
[
"Pang",
"Jun",
""
]
] | Generative adversarial networks (GANs) have shown remarkable success in image synthesis, making GAN models themselves commercially valuable to legitimate model owners. Therefore, it is critical to technically protect the intellectual property of GANs. Prior works need to tamper with the training set or training process... |
1811.04454 | Milan Aggarwal | Milan Aggarwal, Nupur Kumari, Ayush Bansal, Balaji Krishnamurthy | ReDecode Framework for Iterative Improvement in Paraphrase Generation | 8 pages, 3 figures | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generating paraphrases, that is, different variations of a sentence conveying
the same meaning, is an important yet challenging task in NLP. Automatically
generating paraphrases has its utility in many NLP tasks like question
answering, information retrieval, conversational systems to name a few. In this
paper, we in... | [
{
"created": "Sun, 11 Nov 2018 19:02:50 GMT",
"version": "v1"
}
] | 2018-11-13 | [
[
"Aggarwal",
"Milan",
""
],
[
"Kumari",
"Nupur",
""
],
[
"Bansal",
"Ayush",
""
],
[
"Krishnamurthy",
"Balaji",
""
]
] | Generating paraphrases, that is, different variations of a sentence conveying the same meaning, is an important yet challenging task in NLP. Automatically generating paraphrases has its utility in many NLP tasks like question answering, information retrieval, conversational systems to name a few. In this paper, we intr... |
2201.10267 | Salomon Sickert | Udi Boker, Karoliina Lehtinen, Salomon Sickert | On the Translation of Automata to Linear Temporal Logic | Full version with appendix of a chapter with the same title that
appears in the FoSSaCS 2022 conference proceedings | null | 10.1007/978-3-030-99253-8_8 | null | cs.FL cs.LO | http://creativecommons.org/licenses/by/4.0/ | While the complexity of translating future linear temporal logic (LTL) into
automata on infinite words is well-understood, the size increase involved in
turning automata back to LTL is not. In particular, there is no known
elementary bound on the complexity of translating deterministic
$\omega$-regular automata to LT... | [
{
"created": "Tue, 25 Jan 2022 12:26:18 GMT",
"version": "v1"
},
{
"created": "Sun, 8 May 2022 08:52:11 GMT",
"version": "v2"
}
] | 2022-05-10 | [
[
"Boker",
"Udi",
""
],
[
"Lehtinen",
"Karoliina",
""
],
[
"Sickert",
"Salomon",
""
]
] | While the complexity of translating future linear temporal logic (LTL) into automata on infinite words is well-understood, the size increase involved in turning automata back to LTL is not. In particular, there is no known elementary bound on the complexity of translating deterministic $\omega$-regular automata to LTL.... |
2306.08956 | Hongqing Liu | Liang Wan and Hongqing Liu and Yi Zhou and Jie Ji | Multi-Loss Convolutional Network with Time-Frequency Attention for
Speech Enhancement | null | null | null | null | cs.SD eess.AS stat.ML | http://creativecommons.org/licenses/by/4.0/ | The Dual-Path Convolution Recurrent Network (DPCRN) was proposed to
effectively exploit time-frequency domain information. By combining the DPRNN
module with Convolution Recurrent Network (CRN), the DPCRN obtained a promising
performance in speech separation with a limited model size. In this paper, we
explore self-a... | [
{
"created": "Thu, 15 Jun 2023 08:48:19 GMT",
"version": "v1"
}
] | 2023-06-16 | [
[
"Wan",
"Liang",
""
],
[
"Liu",
"Hongqing",
""
],
[
"Zhou",
"Yi",
""
],
[
"Ji",
"Jie",
""
]
] | The Dual-Path Convolution Recurrent Network (DPCRN) was proposed to effectively exploit time-frequency domain information. By combining the DPRNN module with Convolution Recurrent Network (CRN), the DPCRN obtained a promising performance in speech separation with a limited model size. In this paper, we explore self-att... |
2403.18266 | Wenzhuo Liu | Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu | Branch-Tuning: Balancing Stability and Plasticity for Continual
Self-Supervised Learning | null | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-supervised learning (SSL) has emerged as an effective paradigm for
deriving general representations from vast amounts of unlabeled data. However,
as real-world applications continually integrate new content, the high
computational and resource demands of SSL necessitate continual learning rather
than complete re... | [
{
"created": "Wed, 27 Mar 2024 05:38:48 GMT",
"version": "v1"
}
] | 2024-03-28 | [
[
"Liu",
"Wenzhuo",
""
],
[
"Zhu",
"Fei",
""
],
[
"Liu",
"Cheng-Lin",
""
]
] | Self-supervised learning (SSL) has emerged as an effective paradigm for deriving general representations from vast amounts of unlabeled data. However, as real-world applications continually integrate new content, the high computational and resource demands of SSL necessitate continual learning rather than complete retr... |
1303.5427 | Thomas Schiex | Thomas Schiex | Possibilistic Constraint Satisfaction Problems or "How to handle soft
constraints?" | Appears in Proceedings of the Eighth Conference on Uncertainty in
Artificial Intelligence (UAI1992) | null | null | UAI-P-1992-PG-268-275 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many AI synthesis problems such as planning or scheduling may be modelized as
constraint satisfaction problems (CSP). A CSP is typically defined as the
problem of finding any consistent labeling for a fixed set of variables
satisfying all given constraints between these variables. However, for many
real tasks such as... | [
{
"created": "Wed, 13 Mar 2013 12:54:58 GMT",
"version": "v1"
}
] | 2013-03-25 | [
[
"Schiex",
"Thomas",
""
]
] | Many AI synthesis problems such as planning or scheduling may be modelized as constraint satisfaction problems (CSP). A CSP is typically defined as the problem of finding any consistent labeling for a fixed set of variables satisfying all given constraints between these variables. However, for many real tasks such as j... |
2406.02208 | Haodong Hong | Haodong Hong and Sen Wang and Zi Huang and Qi Wu and Jiajun Liu | Why Only Text: Empowering Vision-and-Language Navigation with
Multi-modal Prompts | IJCAI 2024 | null | null | null | cs.CV cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current Vision-and-Language Navigation (VLN) tasks mainly employ textual
instructions to guide agents. However, being inherently abstract, the same
textual instruction can be associated with different visual signals, causing
severe ambiguity and limiting the transfer of prior knowledge in the vision
domain from the u... | [
{
"created": "Tue, 4 Jun 2024 11:06:13 GMT",
"version": "v1"
}
] | 2024-06-05 | [
[
"Hong",
"Haodong",
""
],
[
"Wang",
"Sen",
""
],
[
"Huang",
"Zi",
""
],
[
"Wu",
"Qi",
""
],
[
"Liu",
"Jiajun",
""
]
] | Current Vision-and-Language Navigation (VLN) tasks mainly employ textual instructions to guide agents. However, being inherently abstract, the same textual instruction can be associated with different visual signals, causing severe ambiguity and limiting the transfer of prior knowledge in the vision domain from the use... |
1401.0578 | Jwo-Yuh Wu | Ling-Hua Chang and Jwo-Yuh Wu | An Improved RIP-Based Performance Guarantee for Sparse Signal Recovery
via Orthogonal Matching Pursuit | 38 pages,4 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A sufficient condition reported very recently for perfect recovery of a
K-sparse vector via orthogonal matching pursuit (OMP) in K iterations is that
the restricted isometry constant of the sensing matrix satisfies
delta_K+1<1/(sqrt(delta_K+1)+1). By exploiting an approximate orthogonality
condition characterized via... | [
{
"created": "Fri, 3 Jan 2014 02:48:12 GMT",
"version": "v1"
}
] | 2014-01-06 | [
[
"Chang",
"Ling-Hua",
""
],
[
"Wu",
"Jwo-Yuh",
""
]
] | A sufficient condition reported very recently for perfect recovery of a K-sparse vector via orthogonal matching pursuit (OMP) in K iterations is that the restricted isometry constant of the sensing matrix satisfies delta_K+1<1/(sqrt(delta_K+1)+1). By exploiting an approximate orthogonality condition characterized via t... |
1605.09527 | Thomas Goldstein | Sohil Shah, Abhay Kumar, Carlos Castillo, David Jacobs, Christoph
Studer, Tom Goldstein | Biconvex Relaxation for Semidefinite Programming in Computer Vision | null | null | null | null | cs.CV cs.NA math.NA math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Semidefinite programming is an indispensable tool in computer vision, but
general-purpose solvers for semidefinite programs are often too slow and memory
intensive for large-scale problems. We propose a general framework to
approximately solve large-scale semidefinite problems (SDPs) at low complexity.
Our approach, ... | [
{
"created": "Tue, 31 May 2016 08:43:44 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Aug 2016 23:23:28 GMT",
"version": "v2"
}
] | 2016-08-10 | [
[
"Shah",
"Sohil",
""
],
[
"Kumar",
"Abhay",
""
],
[
"Castillo",
"Carlos",
""
],
[
"Jacobs",
"David",
""
],
[
"Studer",
"Christoph",
""
],
[
"Goldstein",
"Tom",
""
]
] | Semidefinite programming is an indispensable tool in computer vision, but general-purpose solvers for semidefinite programs are often too slow and memory intensive for large-scale problems. We propose a general framework to approximately solve large-scale semidefinite problems (SDPs) at low complexity. Our approach, re... |
2305.13503 | Zhan-Lun Chang | Zhan-Lun Chang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G.
Brinton | Asynchronous Multi-Model Dynamic Federated Learning over Wireless
Networks: Theory, Modeling, and Optimization | Completed the major revision for IEEE Transactions on Cognitive
Communications and Networking | null | null | null | cs.LG cs.DC | http://creativecommons.org/licenses/by/4.0/ | Federated learning (FL) has emerged as a key technique for distributed
machine learning (ML). Most literature on FL has focused on ML model training
for (i) a single task/model, with (ii) a synchronous scheme for updating model
parameters, and (iii) a static data distribution setting across devices, which
is often no... | [
{
"created": "Mon, 22 May 2023 21:39:38 GMT",
"version": "v1"
},
{
"created": "Fri, 21 Jul 2023 00:15:28 GMT",
"version": "v2"
},
{
"created": "Thu, 15 Feb 2024 23:04:03 GMT",
"version": "v3"
}
] | 2024-02-19 | [
[
"Chang",
"Zhan-Lun",
""
],
[
"Hosseinalipour",
"Seyyedali",
""
],
[
"Chiang",
"Mung",
""
],
[
"Brinton",
"Christopher G.",
""
]
] | Federated learning (FL) has emerged as a key technique for distributed machine learning (ML). Most literature on FL has focused on ML model training for (i) a single task/model, with (ii) a synchronous scheme for updating model parameters, and (iii) a static data distribution setting across devices, which is often not ... |
0712.3423 | Alban Ponse | J.A. Bergstra, A. Ponse, M.B. van der Zwaag | Tuplix Calculus | 22 pages | Scientific Annals of Computer Science, 18:35--61, 2008 | null | PRG0713 | cs.LO cs.CE | null | We introduce a calculus for tuplices, which are expressions that generalize
matrices and vectors. Tuplices have an underlying data type for quantities that
are taken from a zero-totalized field. We start with the core tuplix calculus
CTC for entries and tests, which are combined using conjunctive composition. We
defi... | [
{
"created": "Thu, 20 Dec 2007 13:58:14 GMT",
"version": "v1"
}
] | 2009-03-03 | [
[
"Bergstra",
"J. A.",
""
],
[
"Ponse",
"A.",
""
],
[
"van der Zwaag",
"M. B.",
""
]
] | We introduce a calculus for tuplices, which are expressions that generalize matrices and vectors. Tuplices have an underlying data type for quantities that are taken from a zero-totalized field. We start with the core tuplix calculus CTC for entries and tests, which are combined using conjunctive composition. We define... |
2105.13073 | Zujie Liang | Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen,
Fan Liang and Daxin Jiang | Maria: A Visual Experience Powered Conversational Agent | Accepted by ACL 2021 main conference | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Arguably, the visual perception of conversational agents to the physical
world is a key way for them to exhibit the human-like intelligence.
Image-grounded conversation is thus proposed to address this challenge.
Existing works focus on exploring the multimodal dialog models that ground the
conversation on a given im... | [
{
"created": "Thu, 27 May 2021 11:45:29 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Jun 2021 09:48:55 GMT",
"version": "v2"
}
] | 2021-06-24 | [
[
"Liang",
"Zujie",
""
],
[
"Hu",
"Huang",
""
],
[
"Xu",
"Can",
""
],
[
"Tao",
"Chongyang",
""
],
[
"Geng",
"Xiubo",
""
],
[
"Chen",
"Yining",
""
],
[
"Liang",
"Fan",
""
],
[
"Jiang",
"Daxin",
... | Arguably, the visual perception of conversational agents to the physical world is a key way for them to exhibit the human-like intelligence. Image-grounded conversation is thus proposed to address this challenge. Existing works focus on exploring the multimodal dialog models that ground the conversation on a given imag... |
1604.07564 | Dietmar Berwanger | Dietmar Berwanger, Anup Basil Mathew, R. Ramanujam | A Retraction Theorem for Distributed Synthesis | null | null | null | null | cs.DC cs.FL cs.GT cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a general theorem for distributed synthesis problems in
coordination games with $\omega$-regular objectives of the form: If there
exists a winning strategy for the coalition, then there exists an "essential"
winning strategy, that is obtained by a retraction of the given one. In
general, this does not lead... | [
{
"created": "Tue, 26 Apr 2016 08:32:29 GMT",
"version": "v1"
}
] | 2016-04-27 | [
[
"Berwanger",
"Dietmar",
""
],
[
"Mathew",
"Anup Basil",
""
],
[
"Ramanujam",
"R.",
""
]
] | We present a general theorem for distributed synthesis problems in coordination games with $\omega$-regular objectives of the form: If there exists a winning strategy for the coalition, then there exists an "essential" winning strategy, that is obtained by a retraction of the given one. In general, this does not lead t... |
2407.02403 | Jaewoo Park | Yoon Gyo Jung, Jaewoo Park, Xingbo Dong, Hojin Park, Andrew Beng Jin
Teoh, Octavia Camps | Face Reconstruction Transfer Attack as Out-of-Distribution
Generalization | Accepted to ECCV2024 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding the vulnerability of face recognition systems to malicious
attacks is of critical importance. Previous works have focused on
reconstructing face images that can penetrate a targeted verification system.
Even in the white-box scenario, however, naively reconstructed images
misrepresent the identity infor... | [
{
"created": "Tue, 2 Jul 2024 16:21:44 GMT",
"version": "v1"
}
] | 2024-07-03 | [
[
"Jung",
"Yoon Gyo",
""
],
[
"Park",
"Jaewoo",
""
],
[
"Dong",
"Xingbo",
""
],
[
"Park",
"Hojin",
""
],
[
"Teoh",
"Andrew Beng Jin",
""
],
[
"Camps",
"Octavia",
""
]
] | Understanding the vulnerability of face recognition systems to malicious attacks is of critical importance. Previous works have focused on reconstructing face images that can penetrate a targeted verification system. Even in the white-box scenario, however, naively reconstructed images misrepresent the identity informa... |
1807.03168 | Maksym Zavershynskyi | Maksym Zavershynskyi, Alex Skidanov, Illia Polosukhin | NAPS: Natural Program Synthesis Dataset | 4 pages, 5 tables in 2nd Workshop on Neural Abstract Machines &
Program Induction (NAMPI), @ICML 2018 | null | null | null | cs.LG cs.AI cs.PL stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a program synthesis-oriented dataset consisting of human written
problem statements and solutions for these problems. The problem statements
were collected via crowdsourcing and the program solutions were extracted from
human-written solutions in programming competitions, accompanied by
input/output exampl... | [
{
"created": "Fri, 6 Jul 2018 02:59:34 GMT",
"version": "v1"
}
] | 2018-07-10 | [
[
"Zavershynskyi",
"Maksym",
""
],
[
"Skidanov",
"Alex",
""
],
[
"Polosukhin",
"Illia",
""
]
] | We present a program synthesis-oriented dataset consisting of human written problem statements and solutions for these problems. The problem statements were collected via crowdsourcing and the program solutions were extracted from human-written solutions in programming competitions, accompanied by input/output examples... |
2110.08565 | Domenico Tortorella | Domenico Tortorella, Alessio Micheli | Dynamic Graph Echo State Networks | Accepted for oral presentation at ESANN 2021 | Proceedings of the 29th European Symposium on Artificial Neural
Networks, Computational Intelligence and Machine Learning (ESANN 2021), pp.
99-104 | 10.14428/esann/2021.ES2021-70 | null | cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dynamic temporal graphs represent evolving relations between entities, e.g.
interactions between social network users or infection spreading. We propose an
extension of graph echo state networks for the efficient processing of dynamic
temporal graphs, with a sufficient condition for their echo state property, and
an ... | [
{
"created": "Sat, 16 Oct 2021 12:51:50 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Oct 2022 19:39:01 GMT",
"version": "v2"
}
] | 2022-10-31 | [
[
"Tortorella",
"Domenico",
""
],
[
"Micheli",
"Alessio",
""
]
] | Dynamic temporal graphs represent evolving relations between entities, e.g. interactions between social network users or infection spreading. We propose an extension of graph echo state networks for the efficient processing of dynamic temporal graphs, with a sufficient condition for their echo state property, and an ex... |
2308.14252 | Shenghai Liao | Shujun Fu, Shenghai Liao, Jingjing Gao, Shijing Song and Zhonghua Man | Key technologies and application for radar and smart video fusion in
perimeter intrusion alarm system | submitted | null | null | null | cs.AR | http://creativecommons.org/licenses/by/4.0/ | With the continuous development of modern science and technology, radar
detection, video surveillance and perimeter alarm system are more and more
widely used in the field of social security. This paper introduces video
surveillance and perimeter alarm in detail, mathematical modeling and key
technologies, analyzes t... | [
{
"created": "Mon, 28 Aug 2023 02:03:26 GMT",
"version": "v1"
}
] | 2023-08-29 | [
[
"Fu",
"Shujun",
""
],
[
"Liao",
"Shenghai",
""
],
[
"Gao",
"Jingjing",
""
],
[
"Song",
"Shijing",
""
],
[
"Man",
"Zhonghua",
""
]
] | With the continuous development of modern science and technology, radar detection, video surveillance and perimeter alarm system are more and more widely used in the field of social security. This paper introduces video surveillance and perimeter alarm in detail, mathematical modeling and key technologies, analyzes the... |
1609.07826 | Georgios Georgakis | Georgios Georgakis, Md Alimoor Reza, Arsalan Mousavian, Phi-Hung Le,
Jana Kosecka | Multiview RGB-D Dataset for Object Instance Detection | null | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a new multi-view RGB-D dataset of nine kitchen scenes,
each containing several objects in realistic cluttered environments including a
subset of objects from the BigBird dataset. The viewpoints of the scenes are
densely sampled and objects in the scenes are annotated with bounding boxes and
in the... | [
{
"created": "Mon, 26 Sep 2016 01:18:56 GMT",
"version": "v1"
}
] | 2016-09-27 | [
[
"Georgakis",
"Georgios",
""
],
[
"Reza",
"Md Alimoor",
""
],
[
"Mousavian",
"Arsalan",
""
],
[
"Le",
"Phi-Hung",
""
],
[
"Kosecka",
"Jana",
""
]
] | This paper presents a new multi-view RGB-D dataset of nine kitchen scenes, each containing several objects in realistic cluttered environments including a subset of objects from the BigBird dataset. The viewpoints of the scenes are densely sampled and objects in the scenes are annotated with bounding boxes and in the 3... |
1910.11998 | Haibin Yu | Haibin Yu, Yizhou Chen, Zhongxiang Dai, Kian Hsiang Low, Patrick
Jaillet | Implicit Posterior Variational Inference for Deep Gaussian Processes | 33rd Annual Conference on Neural Information Processing Systems
(NeurIPS-19) | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A multi-layer deep Gaussian process (DGP) model is a hierarchical composition
of GP models with a greater expressive power. Exact DGP inference is
intractable, which has motivated the recent development of deterministic and
stochastic approximation methods. Unfortunately, the deterministic
approximation methods yield... | [
{
"created": "Sat, 26 Oct 2019 05:07:01 GMT",
"version": "v1"
}
] | 2019-10-29 | [
[
"Yu",
"Haibin",
""
],
[
"Chen",
"Yizhou",
""
],
[
"Dai",
"Zhongxiang",
""
],
[
"Low",
"Kian Hsiang",
""
],
[
"Jaillet",
"Patrick",
""
]
] | A multi-layer deep Gaussian process (DGP) model is a hierarchical composition of GP models with a greater expressive power. Exact DGP inference is intractable, which has motivated the recent development of deterministic and stochastic approximation methods. Unfortunately, the deterministic approximation methods yield a... |
1902.10847 | Olga Moskvyak | Olga Moskvyak, Frederic Maire, Asia O. Armstrong, Feras Dayoub, Mahsa
Baktashmotlagh | Robust Re-identification of Manta Rays from Natural Markings by Learning
Pose Invariant Embeddings | 12 pages, 15 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visual identification of individual animals that bear unique natural body
markings is an important task in wildlife conservation. The photo databases of
animal markings grow larger and each new observation has to be matched against
thousands of images. Existing photo-identification solutions have constraints
on image... | [
{
"created": "Thu, 28 Feb 2019 00:37:32 GMT",
"version": "v1"
}
] | 2019-03-01 | [
[
"Moskvyak",
"Olga",
""
],
[
"Maire",
"Frederic",
""
],
[
"Armstrong",
"Asia O.",
""
],
[
"Dayoub",
"Feras",
""
],
[
"Baktashmotlagh",
"Mahsa",
""
]
] | Visual identification of individual animals that bear unique natural body markings is an important task in wildlife conservation. The photo databases of animal markings grow larger and each new observation has to be matched against thousands of images. Existing photo-identification solutions have constraints on image q... |
2302.06554 | Diego Mart\'inez Baselga | Diego Martinez-Baselga, Luis Riazuelo, Luis Montano | Improving robot navigation in crowded environments using intrinsic
rewards | Paper accepted in 2023 IEEE International Conference on Robotics and
Automation (ICRA) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Autonomous navigation in crowded environments is an open problem with many
applications, essential for the coexistence of robots and humans in the smart
cities of the future. In recent years, deep reinforcement learning approaches
have proven to outperform model-based algorithms. Nevertheless, even though the
results... | [
{
"created": "Mon, 13 Feb 2023 17:54:50 GMT",
"version": "v1"
}
] | 2023-02-14 | [
[
"Martinez-Baselga",
"Diego",
""
],
[
"Riazuelo",
"Luis",
""
],
[
"Montano",
"Luis",
""
]
] | Autonomous navigation in crowded environments is an open problem with many applications, essential for the coexistence of robots and humans in the smart cities of the future. In recent years, deep reinforcement learning approaches have proven to outperform model-based algorithms. Nevertheless, even though the results p... |
cs/0612121 | Stefan Funke | Stefan Funke, Soeren Laue, Zvi Lotker, Rouven Naujoks | Power Assignment Problems in Wireless Communication | 13 pages | null | null | null | cs.CG cs.AR cs.NI | null | A fundamental class of problems in wireless communication is concerned with
the assignment of suitable transmission powers to wireless devices/stations
such that the resulting communication graph satisfies certain desired
properties and the overall energy consumed is minimized. Many concrete
communication tasks in a ... | [
{
"created": "Fri, 22 Dec 2006 12:53:15 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Funke",
"Stefan",
""
],
[
"Laue",
"Soeren",
""
],
[
"Lotker",
"Zvi",
""
],
[
"Naujoks",
"Rouven",
""
]
] | A fundamental class of problems in wireless communication is concerned with the assignment of suitable transmission powers to wireless devices/stations such that the resulting communication graph satisfies certain desired properties and the overall energy consumed is minimized. Many concrete communication tasks in a wi... |
2212.08583 | Qian Yang | Yushuo Niu, Ethan Chadwick, Anson W. K. Ma, Qian Yang | Semi-Siamese Network for Robust Change Detection Across Different
Domains with Applications to 3D Printing | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Automatic defect detection for 3D printing processes, which shares many
characteristics with change detection problems, is a vital step for quality
control of 3D printed products. However, there are some critical challenges in
the current state of practice. First, existing methods for computer
vision-based process mo... | [
{
"created": "Fri, 16 Dec 2022 17:02:55 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Aug 2023 03:46:30 GMT",
"version": "v2"
}
] | 2023-08-04 | [
[
"Niu",
"Yushuo",
""
],
[
"Chadwick",
"Ethan",
""
],
[
"Ma",
"Anson W. K.",
""
],
[
"Yang",
"Qian",
""
]
] | Automatic defect detection for 3D printing processes, which shares many characteristics with change detection problems, is a vital step for quality control of 3D printed products. However, there are some critical challenges in the current state of practice. First, existing methods for computer vision-based process moni... |
2206.13406 | Claus Smitt | Claus Smitt, Michael Halstead, Alireza Ahmadi, and Chris McCool | Explicitly incorporating spatial information to recurrent networks for
agriculture | null | null | null | null | cs.RO cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In agriculture, the majority of vision systems perform still image
classification. Yet, recent work has highlighted the potential of spatial and
temporal cues as a rich source of information to improve the classification
performance. In this paper, we propose novel approaches to explicitly capture
both spatial and te... | [
{
"created": "Mon, 27 Jun 2022 15:57:42 GMT",
"version": "v1"
}
] | 2022-06-28 | [
[
"Smitt",
"Claus",
""
],
[
"Halstead",
"Michael",
""
],
[
"Ahmadi",
"Alireza",
""
],
[
"McCool",
"Chris",
""
]
] | In agriculture, the majority of vision systems perform still image classification. Yet, recent work has highlighted the potential of spatial and temporal cues as a rich source of information to improve the classification performance. In this paper, we propose novel approaches to explicitly capture both spatial and temp... |
1303.4899 | Martino Borello | Martino Borello, Francesca Dalla Volta and Gabriele Nebe | The automorphism group of a self-dual [72,36,16] code does not contain
S_3, A_4, or D_8 | 9 pages, 0 figures | null | null | null | cs.IT math.CO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A computer calculation with Magma shows that there is no extremal self-dual
binary code C of length 72, whose automorphism group contains the symmetric
group of degree 3, the alternating group of degree 4 or the dihedral group of
order 8. Combining this with the known results in the literature one obtains
that Aut(C)... | [
{
"created": "Wed, 20 Mar 2013 10:48:14 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Jul 2013 09:47:13 GMT",
"version": "v2"
}
] | 2013-07-05 | [
[
"Borello",
"Martino",
""
],
[
"Volta",
"Francesca Dalla",
""
],
[
"Nebe",
"Gabriele",
""
]
] | A computer calculation with Magma shows that there is no extremal self-dual binary code C of length 72, whose automorphism group contains the symmetric group of degree 3, the alternating group of degree 4 or the dihedral group of order 8. Combining this with the known results in the literature one obtains that Aut(C) h... |
1602.07235 | Manuel Wettstein | Manuel Wettstein | Trapezoidal Diagrams, Upward Triangulations, and Prime Catalan Numbers | Added affiliation. Fixed typos | null | null | null | cs.CG math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The d-dimensional Catalan numbers form a well-known sequence of numbers which
count balanced bracket expressions over an alphabet of size d. In this paper,
we introduce and study what we call d-dimensional prime Catalan numbers, a
sequence of numbers which count only a very specific subset of indecomposable
balanced ... | [
{
"created": "Tue, 23 Feb 2016 17:02:53 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Feb 2016 12:02:35 GMT",
"version": "v2"
}
] | 2016-02-29 | [
[
"Wettstein",
"Manuel",
""
]
] | The d-dimensional Catalan numbers form a well-known sequence of numbers which count balanced bracket expressions over an alphabet of size d. In this paper, we introduce and study what we call d-dimensional prime Catalan numbers, a sequence of numbers which count only a very specific subset of indecomposable balanced br... |
2108.03405 | Hou Pong Chan | Hou Pong Chan, Lu Wang, Irwin King | Controllable Summarization with Constrained Markov Decision Process | To appear in TACL | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We study controllable text summarization which allows users to gain control
on a particular attribute (e.g., length limit) of the generated summaries. In
this work, we propose a novel training framework based on Constrained Markov
Decision Process (CMDP), which conveniently includes a reward function along
with a set... | [
{
"created": "Sat, 7 Aug 2021 09:12:53 GMT",
"version": "v1"
}
] | 2021-08-10 | [
[
"Chan",
"Hou Pong",
""
],
[
"Wang",
"Lu",
""
],
[
"King",
"Irwin",
""
]
] | We study controllable text summarization which allows users to gain control on a particular attribute (e.g., length limit) of the generated summaries. In this work, we propose a novel training framework based on Constrained Markov Decision Process (CMDP), which conveniently includes a reward function along with a set o... |
1101.5957 | Bojin Zheng | Bojin Zheng and Deyi Li and Guisheng Chen and Jianmin Wang | A Kind of Representation of Common Knowledge and its Application in
Requirements Analysis | 9 Pages, 0 Figure | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Since the birth of software engineering, it always are recognized as one pure
engineering subject, therefore, the foundational scientific problems are not
paid much attention. This paper proposes that Requirements Analysis, the kernel
process of software engineering, can be modeled based on the concept of "common
kno... | [
{
"created": "Mon, 31 Jan 2011 13:31:20 GMT",
"version": "v1"
}
] | 2011-02-01 | [
[
"Zheng",
"Bojin",
""
],
[
"Li",
"Deyi",
""
],
[
"Chen",
"Guisheng",
""
],
[
"Wang",
"Jianmin",
""
]
] | Since the birth of software engineering, it always are recognized as one pure engineering subject, therefore, the foundational scientific problems are not paid much attention. This paper proposes that Requirements Analysis, the kernel process of software engineering, can be modeled based on the concept of "common knowl... |
1505.03398 | Mikhail Kaluzhsky L. | Mikhail Kaluzhsky | Priorities of institutional regulation of e-commerce: Russia and world
trends | 14 pages, in Russian. ISSN 2073-2872 | National interests: priorities and security. 2013. No 42 (231). P.
11-22 | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | E-commerce is gradually transformed from a version of trading activity to
independent branch of global network economy which cannot be ignored. The
Russian Federation is in the lead in the CIS on development of e-commerce, but
lags behind world leaders in institutionalization of e-commerce. Problems of
state regulati... | [
{
"created": "Wed, 13 May 2015 14:18:38 GMT",
"version": "v1"
}
] | 2015-05-14 | [
[
"Kaluzhsky",
"Mikhail",
""
]
] | E-commerce is gradually transformed from a version of trading activity to independent branch of global network economy which cannot be ignored. The Russian Federation is in the lead in the CIS on development of e-commerce, but lags behind world leaders in institutionalization of e-commerce. Problems of state regulation... |
2211.10675 | EPTCS | Geoffrey W. Hamilton (Dublin City University, Ireland), Temesghen
Kahsai (Amazon, USA), Maurizio Proietti (IASI-CNR, Italy) | Proceedings 9th Workshop on Horn Clauses for Verification and Synthesis
and 10th International Workshop on Verification and Program Transformation | null | EPTCS 373, 2022 | 10.4204/EPTCS.373 | null | cs.PL cs.LO cs.SC cs.SE | http://creativecommons.org/licenses/by/4.0/ | These proceedings include selected papers presented at the 9th Workshop on
Horn Clauses for Verification and Synthesis and the Tenth International
Workshop on Verification and Program Transformation, both affiliated with ETAPS
2022.
Many Program Verification and Synthesis problems of interest can be modeled
directl... | [
{
"created": "Sat, 19 Nov 2022 11:59:45 GMT",
"version": "v1"
}
] | 2022-11-22 | [
[
"Hamilton",
"Geoffrey W.",
"",
"Dublin City University, Ireland"
],
[
"Kahsai",
"Temesghen",
"",
"Amazon, USA"
],
[
"Proietti",
"Maurizio",
"",
"IASI-CNR, Italy"
]
] | These proceedings include selected papers presented at the 9th Workshop on Horn Clauses for Verification and Synthesis and the Tenth International Workshop on Verification and Program Transformation, both affiliated with ETAPS 2022. Many Program Verification and Synthesis problems of interest can be modeled directly us... |
2406.16221 | Zexing Xu | Zexing Xu, Linjun Zhang, Sitan Yang, Rasoul Etesami, Hanghang Tong,
Huan Zhang, and Jiawei Han | F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting
with Proxy Data | null | null | null | null | cs.LG cs.AI cs.GR econ.EM stat.ME | http://creativecommons.org/licenses/by-sa/4.0/ | Demand prediction is a crucial task for e-commerce and physical retail
businesses, especially during high-stake sales events. However, the limited
availability of historical data from these peak periods poses a significant
challenge for traditional forecasting methods. In this paper, we propose a
novel approach that ... | [
{
"created": "Sun, 23 Jun 2024 21:28:50 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Xu",
"Zexing",
""
],
[
"Zhang",
"Linjun",
""
],
[
"Yang",
"Sitan",
""
],
[
"Etesami",
"Rasoul",
""
],
[
"Tong",
"Hanghang",
""
],
[
"Zhang",
"Huan",
""
],
[
"Han",
"Jiawei",
""
]
] | Demand prediction is a crucial task for e-commerce and physical retail businesses, especially during high-stake sales events. However, the limited availability of historical data from these peak periods poses a significant challenge for traditional forecasting methods. In this paper, we propose a novel approach that le... |
1508.06491 | Jacob Andreas | Jacob Andreas and Dan Klein | Alignment-based compositional semantics for instruction following | in proceedings of EMNLP 2015 | null | null | null | cs.CL | http://creativecommons.org/publicdomain/zero/1.0/ | This paper describes an alignment-based model for interpreting natural
language instructions in context. We approach instruction following as a search
over plans, scoring sequences of actions conditioned on structured observations
of text and the environment. By explicitly modeling both the low-level
compositional st... | [
{
"created": "Wed, 26 Aug 2015 13:44:54 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Apr 2017 19:51:09 GMT",
"version": "v2"
}
] | 2017-04-14 | [
[
"Andreas",
"Jacob",
""
],
[
"Klein",
"Dan",
""
]
] | This paper describes an alignment-based model for interpreting natural language instructions in context. We approach instruction following as a search over plans, scoring sequences of actions conditioned on structured observations of text and the environment. By explicitly modeling both the low-level compositional stru... |
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