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1811.05829
Yifan Du
Yifan Du
Long Range Wide Area Network: A Simulation Module for ns-3
There are error and dispute in this report, current approach is withdrawn
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Long Range (LoRa) is a wireless communication technology for the Internet of Things (IoT), able to provide wide coverage networking to devices with low power consumption and low data-rate. This paper~proposes and describes a simulation module of LoRa wireless networks, based on models of the LoRa physical and data-li...
[ { "created": "Wed, 14 Nov 2018 15:07:17 GMT", "version": "v1" }, { "created": "Tue, 20 Nov 2018 21:16:50 GMT", "version": "v2" } ]
2018-12-05
[ [ "Du", "Yifan", "" ] ]
Long Range (LoRa) is a wireless communication technology for the Internet of Things (IoT), able to provide wide coverage networking to devices with low power consumption and low data-rate. This paper~proposes and describes a simulation module of LoRa wireless networks, based on models of the LoRa physical and data-link...
2101.03343
Chen Yang
Chen Yang (University of Science and Technology of China)
Learning Better Sentence Representation with Syntax Information
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sentence semantic understanding is a key topic in the field of natural language processing. Recently, contextualized word representations derived from pre-trained language models such as ELMO and BERT have shown significant improvements for a wide range of semantic tasks, e.g. question answering, text classification ...
[ { "created": "Sat, 9 Jan 2021 12:15:08 GMT", "version": "v1" } ]
2021-01-12
[ [ "Yang", "Chen", "", "University of Science and Technology of China" ] ]
Sentence semantic understanding is a key topic in the field of natural language processing. Recently, contextualized word representations derived from pre-trained language models such as ELMO and BERT have shown significant improvements for a wide range of semantic tasks, e.g. question answering, text classification an...
0809.0400
Xuan Cai
Xuan Cai
Canonical Coin Systems for Change-Making Problems
7 pages
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Change-Making Problem is to represent a given value with the fewest coins under a given coin system. As a variation of the knapsack problem, it is known to be NP-hard. Nevertheless, in most real money systems, the greedy algorithm yields optimal solutions. In this paper, we study what type of coin systems that gu...
[ { "created": "Tue, 2 Sep 2008 11:04:19 GMT", "version": "v1" }, { "created": "Sat, 21 Mar 2009 16:12:55 GMT", "version": "v2" } ]
2009-03-21
[ [ "Cai", "Xuan", "" ] ]
The Change-Making Problem is to represent a given value with the fewest coins under a given coin system. As a variation of the knapsack problem, it is known to be NP-hard. Nevertheless, in most real money systems, the greedy algorithm yields optimal solutions. In this paper, we study what type of coin systems that guar...
cs/0601110
Shabnam Shafiee
Shabnam Shafiee, Sennur Ulukus
Mutual Information Games in Multi-user Channels with Correlated Jamming
Submitted to IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
null
We investigate the behavior of two users and one jammer in an AWGN channel with and without fading when they participate in a non-cooperative zero-sum game, with the channel's input/output mutual information as the objective function. We assume that the jammer can eavesdrop the channel and can use the information obt...
[ { "created": "Wed, 25 Jan 2006 23:02:20 GMT", "version": "v1" }, { "created": "Fri, 27 Jan 2006 21:57:10 GMT", "version": "v2" } ]
2007-07-16
[ [ "Shafiee", "Shabnam", "" ], [ "Ulukus", "Sennur", "" ] ]
We investigate the behavior of two users and one jammer in an AWGN channel with and without fading when they participate in a non-cooperative zero-sum game, with the channel's input/output mutual information as the objective function. We assume that the jammer can eavesdrop the channel and can use the information obtai...
2104.01987
Weijie J. Su
Jinshuo Dong, Aaron Roth, Weijie J. Su
Rejoinder: Gaussian Differential Privacy
Updated the references. Rejoinder to discussions on Gaussian Differential Privacy, read to the Royal Statistical Society in December 2020
null
null
null
cs.CR cs.LG math.ST stat.ML stat.TH
http://creativecommons.org/licenses/by/4.0/
In this rejoinder, we aim to address two broad issues that cover most comments made in the discussion. First, we discuss some theoretical aspects of our work and comment on how this work might impact the theoretical foundation of privacy-preserving data analysis. Taking a practical viewpoint, we next discuss how f-di...
[ { "created": "Mon, 5 Apr 2021 16:27:56 GMT", "version": "v1" }, { "created": "Sat, 26 Jun 2021 02:40:17 GMT", "version": "v2" } ]
2021-06-29
[ [ "Dong", "Jinshuo", "" ], [ "Roth", "Aaron", "" ], [ "Su", "Weijie J.", "" ] ]
In this rejoinder, we aim to address two broad issues that cover most comments made in the discussion. First, we discuss some theoretical aspects of our work and comment on how this work might impact the theoretical foundation of privacy-preserving data analysis. Taking a practical viewpoint, we next discuss how f-diff...
2306.17585
Carola Doerr
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Sa\v{s}o D\v{z}eroski, Tome Eftimov, Carola Doerr
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems
To appear in the Companion Proceedings of GECCO 2023 as poster paper
null
10.1145/3583133.3590697
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Performance complementarity of solvers available to tackle black-box optimization problems gives rise to the important task of algorithm selection (AS). Automated AS approaches can help replace tedious and labor-intensive manual selection, and have already shown promising performance in various optimization domains. ...
[ { "created": "Fri, 30 Jun 2023 12:06:38 GMT", "version": "v1" } ]
2023-07-03
[ [ "Kostovska", "Ana", "" ], [ "Jankovic", "Anja", "" ], [ "Vermetten", "Diederick", "" ], [ "Džeroski", "Sašo", "" ], [ "Eftimov", "Tome", "" ], [ "Doerr", "Carola", "" ] ]
Performance complementarity of solvers available to tackle black-box optimization problems gives rise to the important task of algorithm selection (AS). Automated AS approaches can help replace tedious and labor-intensive manual selection, and have already shown promising performance in various optimization domains. Au...
2008.09371
Neeraj Varshney
Neeraj Varshney, Swaroop Mishra, Chitta Baral
Towards Improving Selective Prediction Ability of NLP Systems
ACL 2022 RepL4NLP Workshop
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
It's better to say "I can't answer" than to answer incorrectly. This selective prediction ability is crucial for NLP systems to be reliably deployed in real-world applications. Prior work has shown that existing selective prediction techniques fail to perform well, especially in the out-of-domain setting. In this wor...
[ { "created": "Fri, 21 Aug 2020 08:46:36 GMT", "version": "v1" }, { "created": "Tue, 29 Mar 2022 06:35:11 GMT", "version": "v2" }, { "created": "Thu, 7 Apr 2022 00:22:04 GMT", "version": "v3" } ]
2022-04-08
[ [ "Varshney", "Neeraj", "" ], [ "Mishra", "Swaroop", "" ], [ "Baral", "Chitta", "" ] ]
It's better to say "I can't answer" than to answer incorrectly. This selective prediction ability is crucial for NLP systems to be reliably deployed in real-world applications. Prior work has shown that existing selective prediction techniques fail to perform well, especially in the out-of-domain setting. In this work,...
2005.04155
Amir Mosavi Prof
Saeed Nosratabadi, Felde Imre, Karoly Szell, Sina Ardabili, Bertalan Beszedes, Amir Mosavi
Hybrid Machine Learning Models for Crop Yield Prediction
5 pages, 2 figures, 3 tables
null
null
null
cs.NE cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Prediction of crop yield is essential for food security policymaking, planning, and trade. The objective of the current study is to propose novel crop yield prediction models based on hybrid machine learning methods. In this study, the performance of the artificial neural networks-imperialist competitive algorithm (A...
[ { "created": "Sun, 8 Mar 2020 12:01:27 GMT", "version": "v1" } ]
2020-05-11
[ [ "Nosratabadi", "Saeed", "" ], [ "Imre", "Felde", "" ], [ "Szell", "Karoly", "" ], [ "Ardabili", "Sina", "" ], [ "Beszedes", "Bertalan", "" ], [ "Mosavi", "Amir", "" ] ]
Prediction of crop yield is essential for food security policymaking, planning, and trade. The objective of the current study is to propose novel crop yield prediction models based on hybrid machine learning methods. In this study, the performance of the artificial neural networks-imperialist competitive algorithm (ANN...
1906.01777
Teng Wang
Teng Wang, Jun Zhao, Xinyu Yang, and Xuebin Ren
Locally Differentially Private Data Collection and Analysis
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Local differential privacy (LDP) can provide each user with strong privacy guarantees under untrusted data curators while ensuring accurate statistics derived from privatized data. Due to its powerfulness, LDP has been widely adopted to protect privacy in various tasks (e.g., heavy hitters discovery, probability esti...
[ { "created": "Wed, 5 Jun 2019 01:34:34 GMT", "version": "v1" } ]
2019-06-06
[ [ "Wang", "Teng", "" ], [ "Zhao", "Jun", "" ], [ "Yang", "Xinyu", "" ], [ "Ren", "Xuebin", "" ] ]
Local differential privacy (LDP) can provide each user with strong privacy guarantees under untrusted data curators while ensuring accurate statistics derived from privatized data. Due to its powerfulness, LDP has been widely adopted to protect privacy in various tasks (e.g., heavy hitters discovery, probability estima...
2305.18362
Kaiwen Xu
Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto and Jun Sakuma
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
Accepted to IJCAI'23
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023
10.24963/IJCAI.2023/58
p519-526
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A concept-based classifier can explain the decision process of a deep learning model by human-understandable concepts in image classification problems. However, sometimes concept-based explanations may cause false positives, which misregards unrelated concepts as important for the prediction task. Our goal is to find...
[ { "created": "Sat, 27 May 2023 05:40:05 GMT", "version": "v1" }, { "created": "Wed, 31 May 2023 03:20:18 GMT", "version": "v2" } ]
2024-01-23
[ [ "Xu", "Kaiwen", "" ], [ "Fukuchi", "Kazuto", "" ], [ "Akimoto", "Youhei", "" ], [ "Sakuma", "Jun", "" ] ]
A concept-based classifier can explain the decision process of a deep learning model by human-understandable concepts in image classification problems. However, sometimes concept-based explanations may cause false positives, which misregards unrelated concepts as important for the prediction task. Our goal is to find t...
2105.09235
Giovanni Bonetta
Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation
The International FLAIRS Conference Proceedings volume 34 issue 1
null
10.32473/flairs.v34i1.128369
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transformer-based models have demonstrated excellent capabilities of capturing patterns and structures in natural language generation and achieved state-of-the-art results in many tasks. In this paper we present a transformer-based model for multi-turn dialog response generation. Our solution is based on a hybrid app...
[ { "created": "Wed, 19 May 2021 16:34:33 GMT", "version": "v1" } ]
2021-05-20
[ [ "Bonetta", "Giovanni", "" ], [ "Cancelliere", "Rossella", "" ], [ "Liu", "Ding", "" ], [ "Vozila", "Paul", "" ] ]
Transformer-based models have demonstrated excellent capabilities of capturing patterns and structures in natural language generation and achieved state-of-the-art results in many tasks. In this paper we present a transformer-based model for multi-turn dialog response generation. Our solution is based on a hybrid appro...
2303.17670
Nicholas Milikich
Nicholas Milikich
Utilizing Remote Sensing to Analyze Land Usage and Rice Planting Patterns
null
null
null
null
cs.CY cs.AI q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The cooperative management of rice terraces in Bali reveals an interesting phenomenon that stems from the feedback loop between human decisions and the ecosystem process. In particular, spatial patterning is observed, which is heavily reliant on the farmer's decision to plant crops as well as the response from the ph...
[ { "created": "Thu, 30 Mar 2023 19:20:09 GMT", "version": "v1" } ]
2023-04-03
[ [ "Milikich", "Nicholas", "" ] ]
The cooperative management of rice terraces in Bali reveals an interesting phenomenon that stems from the feedback loop between human decisions and the ecosystem process. In particular, spatial patterning is observed, which is heavily reliant on the farmer's decision to plant crops as well as the response from the phys...
2405.02241
Harry Zhang Mr.
Xuxin Cheng, Heng Yu, Harry Zhang, Wenxing Deng
WeightedPose: Generalizable Cross-Pose Estimation via Weighted SVD
arXiv admin note: text overlap with arXiv:2211.09325
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
We introduce a new approach for robotic manipulation tasks in human settings that necessitates understanding the 3D geometric connections between a pair of objects. Conventional end-to-end training approaches, which convert pixel observations directly into robot actions, often fail to effectively understand complex p...
[ { "created": "Fri, 3 May 2024 16:52:01 GMT", "version": "v1" }, { "created": "Tue, 21 May 2024 14:42:44 GMT", "version": "v2" } ]
2024-05-22
[ [ "Cheng", "Xuxin", "" ], [ "Yu", "Heng", "" ], [ "Zhang", "Harry", "" ], [ "Deng", "Wenxing", "" ] ]
We introduce a new approach for robotic manipulation tasks in human settings that necessitates understanding the 3D geometric connections between a pair of objects. Conventional end-to-end training approaches, which convert pixel observations directly into robot actions, often fail to effectively understand complex pos...
2105.12826
Babak Mafakheri Dr
Babak Mafakheri, Pierpaolo Gonnella, Alessandro Bazzi, Barbara Mavi Masini, Michele Caggiano, Roberto Verdone
Optimizations for Hardware-in-the-Loop-Based V2X Validation Platforms
The 2021 IEEE 93rd Vehicular Technology Conference: VTC2021-Spring
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Connectivity and automation are increasingly getting importance in the automotive industry, which is observing a radical change from vehicles driven by humans to fully automated and remotely controlled ones. The test and validation of all the related devices and applications is thus becoming a crucial aspect; this is...
[ { "created": "Mon, 26 Apr 2021 10:49:45 GMT", "version": "v1" } ]
2021-05-28
[ [ "Mafakheri", "Babak", "" ], [ "Gonnella", "Pierpaolo", "" ], [ "Bazzi", "Alessandro", "" ], [ "Masini", "Barbara Mavi", "" ], [ "Caggiano", "Michele", "" ], [ "Verdone", "Roberto", "" ] ]
Connectivity and automation are increasingly getting importance in the automotive industry, which is observing a radical change from vehicles driven by humans to fully automated and remotely controlled ones. The test and validation of all the related devices and applications is thus becoming a crucial aspect; this is r...
2105.03176
Matthias Wess
Matthias Wess, Matvey Ivanov, Anvesh Nookala, Christoph Unger, Alexander Wendt, Axel Jantsch
ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models
null
in IEEE Access, vol. 9, pp. 3545-3556, 2021
10.1109/ACCESS.2020.3047259
null
cs.LG cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With new accelerator hardware for DNN, the computing power for AI applications has increased rapidly. However, as DNN algorithms become more complex and optimized for specific applications, latency requirements remain challenging, and it is critical to find the optimal points in the design space. To decouple the arch...
[ { "created": "Fri, 7 May 2021 11:39:05 GMT", "version": "v1" } ]
2021-05-10
[ [ "Wess", "Matthias", "" ], [ "Ivanov", "Matvey", "" ], [ "Nookala", "Anvesh", "" ], [ "Unger", "Christoph", "" ], [ "Wendt", "Alexander", "" ], [ "Jantsch", "Axel", "" ] ]
With new accelerator hardware for DNN, the computing power for AI applications has increased rapidly. However, as DNN algorithms become more complex and optimized for specific applications, latency requirements remain challenging, and it is critical to find the optimal points in the design space. To decouple the archit...
2302.13650
Daan Di Scala
Daan Di Scala and P{\i}nar Yolum
PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems
null
null
null
null
cs.CR cs.MA
http://creativecommons.org/licenses/by/4.0/
Collaborative systems, such as Online Social Networks and the Internet of Things, enable users to share privacy sensitive content. Content in these systems is often co-owned by multiple users with different privacy expectations, leading to possible multiuser privacy conflicts. In order to resolve these conflicts, var...
[ { "created": "Mon, 27 Feb 2023 10:36:45 GMT", "version": "v1" } ]
2023-02-28
[ [ "Di Scala", "Daan", "" ], [ "Yolum", "Pınar", "" ] ]
Collaborative systems, such as Online Social Networks and the Internet of Things, enable users to share privacy sensitive content. Content in these systems is often co-owned by multiple users with different privacy expectations, leading to possible multiuser privacy conflicts. In order to resolve these conflicts, vario...
2407.12161
Karolis Jucys
Karolis Jucys, George Adamopoulos, Mehrab Hamidi, Stephanie Milani, Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake Richards, Irina Rish, \"Ozg\"ur \c{S}im\c{s}ek
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent
Mechanistic Interpretability Workshop at ICML 2024
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Understanding the mechanisms behind decisions taken by large foundation models in sequential decision making tasks is critical to ensuring that such systems operate transparently and safely. In this work, we perform exploratory analysis on the Video PreTraining (VPT) Minecraft playing agent, one of the largest open-s...
[ { "created": "Tue, 16 Jul 2024 20:38:08 GMT", "version": "v1" } ]
2024-07-18
[ [ "Jucys", "Karolis", "" ], [ "Adamopoulos", "George", "" ], [ "Hamidi", "Mehrab", "" ], [ "Milani", "Stephanie", "" ], [ "Samsami", "Mohammad Reza", "" ], [ "Zholus", "Artem", "" ], [ "Joseph", "Sonia", "" ...
Understanding the mechanisms behind decisions taken by large foundation models in sequential decision making tasks is critical to ensuring that such systems operate transparently and safely. In this work, we perform exploratory analysis on the Video PreTraining (VPT) Minecraft playing agent, one of the largest open-sou...
1511.00100
Garrick Orchard
Garrick Orchard, Jacob G. Martin, R. Jacob Vogelstein, and Ralph Etienne-Cummings
Fast Neuromimetic Object Recognition using FPGA Outperforms GPU Implementations
14 pages, 8 figures, 5 tables
Neural Networks and Learning Systems, IEEE Transactions on, vol.24, no.8, pp.1239-1252, 2013
10.1109/TNNLS.2013.2253563
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recognition of objects in still images has traditionally been regarded as a difficult computational problem. Although modern automated methods for visual object recognition have achieved steadily increasing recognition accuracy, even the most advanced computational vision approaches are unable to obtain performance e...
[ { "created": "Sat, 31 Oct 2015 08:59:03 GMT", "version": "v1" } ]
2015-11-03
[ [ "Orchard", "Garrick", "" ], [ "Martin", "Jacob G.", "" ], [ "Vogelstein", "R. Jacob", "" ], [ "Etienne-Cummings", "Ralph", "" ] ]
Recognition of objects in still images has traditionally been regarded as a difficult computational problem. Although modern automated methods for visual object recognition have achieved steadily increasing recognition accuracy, even the most advanced computational vision approaches are unable to obtain performance equ...
1804.07754
Daniel Cer
Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil
Learning Semantic Textual Similarity from Conversations
10 pages, 8 Figures, 6 Tables
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel approach to learn representations for sentence-level semantic similarity using conversational data. Our method trains an unsupervised model to predict conversational input-response pairs. The resulting sentence embeddings perform well on the semantic textual similarity (STS) benchmark and SemEval 2...
[ { "created": "Fri, 20 Apr 2018 17:58:45 GMT", "version": "v1" } ]
2018-04-23
[ [ "Yang", "Yinfei", "" ], [ "Yuan", "Steve", "" ], [ "Cer", "Daniel", "" ], [ "Kong", "Sheng-yi", "" ], [ "Constant", "Noah", "" ], [ "Pilar", "Petr", "" ], [ "Ge", "Heming", "" ], [ "Sung", "Yun-...
We present a novel approach to learn representations for sentence-level semantic similarity using conversational data. Our method trains an unsupervised model to predict conversational input-response pairs. The resulting sentence embeddings perform well on the semantic textual similarity (STS) benchmark and SemEval 201...
1910.11483
Woon Sang Cho
Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models
Accepted at EMNLP-IJCNLP 2019 - The 3rd Workshop on Neural Generation and Translation
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ambiguous user queries in search engines result in the retrieval of documents that often span multiple topics. One potential solution is for the search engine to generate multiple refined queries, each of which relates to a subset of the documents spanning the same topic. A preliminary step towards this goal is to ge...
[ { "created": "Fri, 25 Oct 2019 01:35:14 GMT", "version": "v1" } ]
2019-10-28
[ [ "Cho", "Woon Sang", "" ], [ "Zhang", "Yizhe", "" ], [ "Rao", "Sudha", "" ], [ "Brockett", "Chris", "" ], [ "Lee", "Sungjin", "" ] ]
Ambiguous user queries in search engines result in the retrieval of documents that often span multiple topics. One potential solution is for the search engine to generate multiple refined queries, each of which relates to a subset of the documents spanning the same topic. A preliminary step towards this goal is to gene...
2006.15285
Yunlong Wang
Yunlong Wang and Harald Reiterer
Promoting the Research of Health Behavior Change in Chinese HCI Community
CHI'19 Workshop: HCI in China: Research Agenda, Education Curriculum, Industry Partnership, and Communities Building. Glasgow, United Kingdom. May 4, 2019
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unhealthy lifestyles largely contribute to many chronic diseases, which makes the research on health behavior change crucial for both individuals and the whole society. As an interdisciplinary research field, health behavior change research in the HCI community is still in the early stage. This research field is nota...
[ { "created": "Sat, 27 Jun 2020 04:58:24 GMT", "version": "v1" } ]
2020-06-30
[ [ "Wang", "Yunlong", "" ], [ "Reiterer", "Harald", "" ] ]
Unhealthy lifestyles largely contribute to many chronic diseases, which makes the research on health behavior change crucial for both individuals and the whole society. As an interdisciplinary research field, health behavior change research in the HCI community is still in the early stage. This research field is notabl...
2107.02396
Wei Li
Wei Li, Yuanjun Xiong, Shuo Yang, Mingze Xu, Yongxin Wang, Wei Xia
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Online tracking of multiple objects in videos requires strong capacity of modeling and matching object appearances. Previous methods for learning appearance embedding mostly rely on instance-level matching without considering the temporal continuity provided by videos. We design a new instance-to-track matching objec...
[ { "created": "Tue, 6 Jul 2021 05:23:30 GMT", "version": "v1" } ]
2021-07-07
[ [ "Li", "Wei", "" ], [ "Xiong", "Yuanjun", "" ], [ "Yang", "Shuo", "" ], [ "Xu", "Mingze", "" ], [ "Wang", "Yongxin", "" ], [ "Xia", "Wei", "" ] ]
Online tracking of multiple objects in videos requires strong capacity of modeling and matching object appearances. Previous methods for learning appearance embedding mostly rely on instance-level matching without considering the temporal continuity provided by videos. We design a new instance-to-track matching objecti...
2204.05927
Yitong Ji
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
Do Loyal Users Enjoy Better Recommendations? Understanding Recommender Accuracy from a Time Perspective
Accepted to ICTIR2022
null
10.1145/3539813.3545124
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In academic research, recommender systems are often evaluated on benchmark datasets, without much consideration about the global timeline. Hence, we are unable to answer questions like: Do loyal users enjoy better recommendations than non-loyal users? Loyalty can be defined by the time period a user has been active i...
[ { "created": "Tue, 12 Apr 2022 16:30:39 GMT", "version": "v1" }, { "created": "Mon, 4 Jul 2022 13:44:36 GMT", "version": "v2" } ]
2022-07-05
[ [ "Ji", "Yitong", "" ], [ "Sun", "Aixin", "" ], [ "Zhang", "Jie", "" ], [ "Li", "Chenliang", "" ] ]
In academic research, recommender systems are often evaluated on benchmark datasets, without much consideration about the global timeline. Hence, we are unable to answer questions like: Do loyal users enjoy better recommendations than non-loyal users? Loyalty can be defined by the time period a user has been active in ...
2111.00526
Asier Guti\'errez-Fandi\~no
Asier Guti\'errez-Fandi\~no, Miquel Noguer i Alonso, Petter Kolm, Jordi Armengol-Estap\'e
FinEAS: Financial Embedding Analysis of Sentiment
null
null
null
null
cs.CL q-fin.CP q-fin.PM
http://creativecommons.org/licenses/by/4.0/
We introduce a new language representation model in finance called Financial Embedding Analysis of Sentiment (FinEAS). In financial markets, news and investor sentiment are significant drivers of security prices. Thus, leveraging the capabilities of modern NLP approaches for financial sentiment analysis is a crucial ...
[ { "created": "Sun, 31 Oct 2021 15:41:56 GMT", "version": "v1" }, { "created": "Fri, 19 Nov 2021 13:38:35 GMT", "version": "v2" } ]
2021-11-22
[ [ "Gutiérrez-Fandiño", "Asier", "" ], [ "Alonso", "Miquel Noguer i", "" ], [ "Kolm", "Petter", "" ], [ "Armengol-Estapé", "Jordi", "" ] ]
We introduce a new language representation model in finance called Financial Embedding Analysis of Sentiment (FinEAS). In financial markets, news and investor sentiment are significant drivers of security prices. Thus, leveraging the capabilities of modern NLP approaches for financial sentiment analysis is a crucial co...
1910.07660
Nabor Mendonca
Nabor C. Mendonca, Pooyan Jamshidi, David Garlan, Claus Pahl
Developing Self-Adaptive Microservice Systems: Challenges and Directions
8 pages, 1 figure
IEEE Software, 2019
10.1109/MS.2019.2955937
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A self-adaptive system can dynamically monitor and adapt its behavior to preserve or enhance its quality attributes under uncertain operating conditions. This article identifies key challenges for the development of microservice applications as self-adaptive systems, using a cloud-based intelligent video surveillance...
[ { "created": "Thu, 17 Oct 2019 00:21:14 GMT", "version": "v1" }, { "created": "Fri, 15 Nov 2019 04:53:40 GMT", "version": "v2" } ]
2020-09-04
[ [ "Mendonca", "Nabor C.", "" ], [ "Jamshidi", "Pooyan", "" ], [ "Garlan", "David", "" ], [ "Pahl", "Claus", "" ] ]
A self-adaptive system can dynamically monitor and adapt its behavior to preserve or enhance its quality attributes under uncertain operating conditions. This article identifies key challenges for the development of microservice applications as self-adaptive systems, using a cloud-based intelligent video surveillance a...
2112.05005
Jiang Liu
Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa
Mutual Adversarial Training: Learning together is better than going alone
Under submission
null
10.1109/TIFS.2022.3184262
null
cs.LG cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent studies have shown that robustness to adversarial attacks can be transferred across networks. In other words, we can make a weak model more robust with the help of a strong teacher model. We ask if instead of learning from a static teacher, can models "learn together" and "teach each other" to achieve better r...
[ { "created": "Thu, 9 Dec 2021 15:59:42 GMT", "version": "v1" } ]
2023-02-13
[ [ "Liu", "Jiang", "" ], [ "Lau", "Chun Pong", "" ], [ "Souri", "Hossein", "" ], [ "Feizi", "Soheil", "" ], [ "Chellappa", "Rama", "" ] ]
Recent studies have shown that robustness to adversarial attacks can be transferred across networks. In other words, we can make a weak model more robust with the help of a strong teacher model. We ask if instead of learning from a static teacher, can models "learn together" and "teach each other" to achieve better rob...
2310.13615
An-Zi Yen
An-Zi Yen and Wei-Ling Hsu
Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning
Accepted by EMNLP 2023 Findings
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Due to the remarkable language understanding and generation abilities of large language models (LLMs), their use in educational applications has been explored. However, little work has been done on investigating the pedagogical ability of LLMs in helping students to learn mathematics. In this position paper, we discu...
[ { "created": "Fri, 20 Oct 2023 16:05:35 GMT", "version": "v1" } ]
2023-10-23
[ [ "Yen", "An-Zi", "" ], [ "Hsu", "Wei-Ling", "" ] ]
Due to the remarkable language understanding and generation abilities of large language models (LLMs), their use in educational applications has been explored. However, little work has been done on investigating the pedagogical ability of LLMs in helping students to learn mathematics. In this position paper, we discuss...
2307.14440
Marilyn Walker
Angela Ramirez and Karik Agarwal and Juraj Juraska and Utkarsh Garg and Marilyn A. Walker
Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking
To Appear in SIGDIAL 2023. Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue. 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Dialogue systems need to produce responses that realize multiple types of dialogue acts (DAs) with high semantic fidelity. In the past, natural language generators (NLGs) for dialogue were trained on large parallel corpora that map from a domain-specific DA and its semantic attributes to an output utterance. Recent w...
[ { "created": "Wed, 26 Jul 2023 18:16:45 GMT", "version": "v1" } ]
2023-07-28
[ [ "Ramirez", "Angela", "" ], [ "Agarwal", "Karik", "" ], [ "Juraska", "Juraj", "" ], [ "Garg", "Utkarsh", "" ], [ "Walker", "Marilyn A.", "" ] ]
Dialogue systems need to produce responses that realize multiple types of dialogue acts (DAs) with high semantic fidelity. In the past, natural language generators (NLGs) for dialogue were trained on large parallel corpora that map from a domain-specific DA and its semantic attributes to an output utterance. Recent wor...
2404.17839
Yizhou Chen
Yizhou Chen, Zeyu Sun, Zhihao Gong, Dan Hao
Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection
null
2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE '24)
null
null
cs.CR cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Currently, smart contract vulnerabilities (SCVs) have emerged as a major factor threatening the transaction security of blockchain. Existing state-of-the-art methods rely on deep learning to mitigate this threat. They treat each input contract as an independent entity and feed it into a deep learning model to learn v...
[ { "created": "Sat, 27 Apr 2024 09:13:25 GMT", "version": "v1" } ]
2024-04-30
[ [ "Chen", "Yizhou", "" ], [ "Sun", "Zeyu", "" ], [ "Gong", "Zhihao", "" ], [ "Hao", "Dan", "" ] ]
Currently, smart contract vulnerabilities (SCVs) have emerged as a major factor threatening the transaction security of blockchain. Existing state-of-the-art methods rely on deep learning to mitigate this threat. They treat each input contract as an independent entity and feed it into a deep learning model to learn vul...
2403.01699
George Boateng
George Boateng, Jonathan Abrefah Mensah, Kevin Takyi Yeboah, William Edor, Andrew Kojo Mensah-Onumah, Naafi Dasana Ibrahim, and Nana Sam Yeboah
Brilla AI: AI Contestant for the National Science and Maths Quiz
14 pages. Accepted for the WideAIED track at the 25th International Conference on AI in Education (AIED 2024)
null
null
null
cs.CL cs.AI cs.CY cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
The African continent lacks enough qualified teachers which hampers the provision of adequate learning support. An AI could potentially augment the efforts of the limited number of teachers, leading to better learning outcomes. Towards that end, this work describes and evaluates the first key output for the NSMQ AI G...
[ { "created": "Mon, 4 Mar 2024 03:24:18 GMT", "version": "v1" }, { "created": "Fri, 26 Apr 2024 23:30:55 GMT", "version": "v2" }, { "created": "Tue, 30 Apr 2024 19:22:36 GMT", "version": "v3" } ]
2024-05-02
[ [ "Boateng", "George", "" ], [ "Mensah", "Jonathan Abrefah", "" ], [ "Yeboah", "Kevin Takyi", "" ], [ "Edor", "William", "" ], [ "Mensah-Onumah", "Andrew Kojo", "" ], [ "Ibrahim", "Naafi Dasana", "" ], [ "Yeboah", ...
The African continent lacks enough qualified teachers which hampers the provision of adequate learning support. An AI could potentially augment the efforts of the limited number of teachers, leading to better learning outcomes. Towards that end, this work describes and evaluates the first key output for the NSMQ AI Gra...
2205.01460
Simon Bultmann
Simon Bultmann and Sven Behnke
3D Semantic Scene Perception using Distributed Smart Edge Sensors
17th International Conference on Intelligent Autonomous Systems (IAS), Zagreb, Croatia, June 2022
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a system for 3D semantic scene perception consisting of a network of distributed smart edge sensors. The sensor nodes are based on an embedded CNN inference accelerator and RGB-D and thermal cameras. Efficient vision CNN models for object detection, semantic segmentation, and human pose estimation run on-d...
[ { "created": "Tue, 3 May 2022 12:46:26 GMT", "version": "v1" } ]
2022-05-04
[ [ "Bultmann", "Simon", "" ], [ "Behnke", "Sven", "" ] ]
We present a system for 3D semantic scene perception consisting of a network of distributed smart edge sensors. The sensor nodes are based on an embedded CNN inference accelerator and RGB-D and thermal cameras. Efficient vision CNN models for object detection, semantic segmentation, and human pose estimation run on-dev...
2308.06034
Andrea Munari
Andrea Munari
Age of Incorrect Information in Random Access Channels without Feedback
null
null
null
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We focus on a system in which a set of two-state Markov sources report status update to a common receiver over a shared wireless channel. Inspired by practical IoT networks, we consider three variations of ALOHA as medium access protocol: i) a random approach in which a source transmits regardless of its status, ii) ...
[ { "created": "Fri, 11 Aug 2023 09:28:39 GMT", "version": "v1" } ]
2023-08-14
[ [ "Munari", "Andrea", "" ] ]
We focus on a system in which a set of two-state Markov sources report status update to a common receiver over a shared wireless channel. Inspired by practical IoT networks, we consider three variations of ALOHA as medium access protocol: i) a random approach in which a source transmits regardless of its status, ii) a ...
1709.01121
Adina Williams
Adina Williams, and Andrew Drozdov and Samuel R. Bowman
Do latent tree learning models identify meaningful structure in sentences?
15 pages, 6 figures, 4 tables. v1. was submitted to TACL, v2. was accepted to TACL, name change, additional baselines (R/L branching)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work on the problem of latent tree learning has made it possible to train neural networks that learn to both parse a sentence and use the resulting parse to interpret the sentence, all without exposure to ground-truth parse trees at training time. Surprisingly, these models often perform better at sentence und...
[ { "created": "Mon, 4 Sep 2017 19:05:39 GMT", "version": "v1" }, { "created": "Mon, 26 Feb 2018 15:59:38 GMT", "version": "v2" } ]
2018-02-27
[ [ "Williams", "Adina", "" ], [ "Drozdov", "Andrew", "" ], [ "Bowman", "Samuel R.", "" ] ]
Recent work on the problem of latent tree learning has made it possible to train neural networks that learn to both parse a sentence and use the resulting parse to interpret the sentence, all without exposure to ground-truth parse trees at training time. Surprisingly, these models often perform better at sentence under...
2405.07697
Elsa Dupraz
Elsa Dupraz, Ismaila Salihou Adamou, Reza Asvadi, and Tad Matsumoto
Practical Short-Length Coding Schemes for Binary Distributed Hypothesis Testing
Accepted at ISIT 2024
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates practical coding schemes for Distributed Hypothesis Testing (DHT). While the literature has extensively analyzed the information-theoretic performance of DHT and established bounds on Type-II error exponents through quantize and quantize-binning achievability schemes, the practical implementat...
[ { "created": "Mon, 13 May 2024 12:34:16 GMT", "version": "v1" } ]
2024-05-14
[ [ "Dupraz", "Elsa", "" ], [ "Adamou", "Ismaila Salihou", "" ], [ "Asvadi", "Reza", "" ], [ "Matsumoto", "Tad", "" ] ]
This paper investigates practical coding schemes for Distributed Hypothesis Testing (DHT). While the literature has extensively analyzed the information-theoretic performance of DHT and established bounds on Type-II error exponents through quantize and quantize-binning achievability schemes, the practical implementatio...
2405.11517
Idan Pipano
Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz
On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions
null
null
null
null
cs.GT cs.IR
http://creativecommons.org/licenses/by/4.0/
Publishers who publish their content on the web act strategically, in a behavior that can be modeled within the online learning framework. Regret, a central concept in machine learning, serves as a canonical measure for assessing the performance of learning agents within this framework. We prove that any proportional...
[ { "created": "Sun, 19 May 2024 11:12:10 GMT", "version": "v1" }, { "created": "Thu, 8 Aug 2024 12:52:43 GMT", "version": "v2" } ]
2024-08-09
[ [ "Madmon", "Omer", "" ], [ "Pipano", "Idan", "" ], [ "Reinman", "Itamar", "" ], [ "Tennenholtz", "Moshe", "" ] ]
Publishers who publish their content on the web act strategically, in a behavior that can be modeled within the online learning framework. Regret, a central concept in machine learning, serves as a canonical measure for assessing the performance of learning agents within this framework. We prove that any proportional c...
2005.13580
Patrick Esser
Robin Rombach and Patrick Esser and Bj\"orn Ommer
Network-to-Network Translation with Conditional Invertible Neural Networks
NeurIPS 2020 (oral). Code at https://github.com/CompVis/net2net
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given the ever-increasing computational costs of modern machine learning models, we need to find new ways to reuse such expert models and thus tap into the resources that have been invested in their creation. Recent work suggests that the power of these massive models is captured by the representations they learn. Th...
[ { "created": "Wed, 27 May 2020 18:14:22 GMT", "version": "v1" }, { "created": "Mon, 9 Nov 2020 20:34:36 GMT", "version": "v2" } ]
2020-11-11
[ [ "Rombach", "Robin", "" ], [ "Esser", "Patrick", "" ], [ "Ommer", "Björn", "" ] ]
Given the ever-increasing computational costs of modern machine learning models, we need to find new ways to reuse such expert models and thus tap into the resources that have been invested in their creation. Recent work suggests that the power of these massive models is captured by the representations they learn. Ther...
1709.06743
Leon Thurner
Leon Thurner, Alexander Scheidler, Florian Sch\"afer, Jan-Hendrik Menke, Julian Dollichon, Friederike Meier, Steffen Meinecke and Martin Braun
pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems
null
null
10.1109/TPWRS.2018.2829021
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
pandapower is a Python based, BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of balanced power systems. It provides power flow, optimal power flow, state estimation, topological graph searches and short circuit calculations according to IEC 60909. pand...
[ { "created": "Wed, 20 Sep 2017 07:14:52 GMT", "version": "v1" }, { "created": "Mon, 19 Feb 2018 13:51:30 GMT", "version": "v2" }, { "created": "Wed, 18 Apr 2018 15:11:31 GMT", "version": "v3" } ]
2018-11-06
[ [ "Thurner", "Leon", "" ], [ "Scheidler", "Alexander", "" ], [ "Schäfer", "Florian", "" ], [ "Menke", "Jan-Hendrik", "" ], [ "Dollichon", "Julian", "" ], [ "Meier", "Friederike", "" ], [ "Meinecke", "Steffen", ...
pandapower is a Python based, BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of balanced power systems. It provides power flow, optimal power flow, state estimation, topological graph searches and short circuit calculations according to IEC 60909. pandap...
2112.03808
Louis Castricato
Louis Castricato, Spencer Frazier, Jonathan Balloch, Nitya Tarakad, Mark Riedl
Automated Story Generation as Question-Answering
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Neural language model-based approaches to automated story generation suffer from two important limitations. First, language model-based story generators generally do not work toward a given goal or ending. Second, they often lose coherence as the story gets longer. We propose a novel approach to automated story gener...
[ { "created": "Tue, 7 Dec 2021 16:32:30 GMT", "version": "v1" } ]
2021-12-08
[ [ "Castricato", "Louis", "" ], [ "Frazier", "Spencer", "" ], [ "Balloch", "Jonathan", "" ], [ "Tarakad", "Nitya", "" ], [ "Riedl", "Mark", "" ] ]
Neural language model-based approaches to automated story generation suffer from two important limitations. First, language model-based story generators generally do not work toward a given goal or ending. Second, they often lose coherence as the story gets longer. We propose a novel approach to automated story generat...
1205.2889
Youssef Bassil
Youssef Bassil
A Comparative Study on the Performance of the Top DBMS Systems
LACSC - Lebanese Association for Computational Sciences, http://www.lacsc.org
Journal of Computer Science & Research (JCSCR), Vol.1, No.1, pp.20-31, 2012
null
null
cs.DB cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Database management systems are today's most reliable mean to organize data into collections that can be searched and updated. However, many DBMS systems are available on the market each having their pros and cons in terms of reliability, usability, security, and performance. This paper presents a comparative study o...
[ { "created": "Sun, 13 May 2012 17:54:51 GMT", "version": "v1" } ]
2012-05-15
[ [ "Bassil", "Youssef", "" ] ]
Database management systems are today's most reliable mean to organize data into collections that can be searched and updated. However, many DBMS systems are available on the market each having their pros and cons in terms of reliability, usability, security, and performance. This paper presents a comparative study on ...
2006.07752
Anh Thai
Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg
3D Reconstruction of Novel Object Shapes from Single Images
First two authors contributed equally
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurately predicting the 3D shape of any arbitrary object in any pose from a single image is a key goal of computer vision research. This is challenging as it requires a model to learn a representation that can infer both the visible and occluded portions of any object using a limited training set. A training set th...
[ { "created": "Sun, 14 Jun 2020 00:34:26 GMT", "version": "v1" }, { "created": "Thu, 24 Sep 2020 02:12:45 GMT", "version": "v2" }, { "created": "Mon, 18 Jan 2021 19:41:48 GMT", "version": "v3" }, { "created": "Wed, 1 Sep 2021 21:11:12 GMT", "version": "v4" } ]
2021-09-03
[ [ "Thai", "Anh", "" ], [ "Stojanov", "Stefan", "" ], [ "Upadhya", "Vijay", "" ], [ "Rehg", "James M.", "" ] ]
Accurately predicting the 3D shape of any arbitrary object in any pose from a single image is a key goal of computer vision research. This is challenging as it requires a model to learn a representation that can infer both the visible and occluded portions of any object using a limited training set. A training set that...
2405.17610
Francisco de Arriba-P\'erez
Francisco de Arriba-P\'erez, Silvia Garc\'ia-M\'endez, Francisco J. Gonz\'alez-Casta\~no, Jaime Gonz\'alez-Gonz\'alez
Explainable machine learning multi-label classification of Spanish legal judgements
null
null
10.1016/j.jksuci.2022.10.015
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Artificial Intelligence techniques such as Machine Learning (ML) have not been exploited to their maximum potential in the legal domain. This has been partially due to the insufficient explanations they provided about their decisions. Automatic expert systems with explanatory capabilities can be specially useful when...
[ { "created": "Mon, 27 May 2024 19:16:42 GMT", "version": "v1" } ]
2024-05-29
[ [ "de Arriba-Pérez", "Francisco", "" ], [ "García-Méndez", "Silvia", "" ], [ "González-Castaño", "Francisco J.", "" ], [ "González-González", "Jaime", "" ] ]
Artificial Intelligence techniques such as Machine Learning (ML) have not been exploited to their maximum potential in the legal domain. This has been partially due to the insufficient explanations they provided about their decisions. Automatic expert systems with explanatory capabilities can be specially useful when l...
2110.08923
Donghao Ying
Donghao Ying, Yuhao Ding, Javad Lavaei
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization
24 pages, AISTATS22
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study entropy-regularized constrained Markov decision processes (CMDPs) under the soft-max parameterization, in which an agent aims to maximize the entropy-regularized value function while satisfying constraints on the expected total utility. By leveraging the entropy regularization, our theoretical analysis shows...
[ { "created": "Sun, 17 Oct 2021 21:26:40 GMT", "version": "v1" }, { "created": "Wed, 9 Feb 2022 07:26:29 GMT", "version": "v2" }, { "created": "Fri, 7 Apr 2023 16:09:21 GMT", "version": "v3" } ]
2023-04-10
[ [ "Ying", "Donghao", "" ], [ "Ding", "Yuhao", "" ], [ "Lavaei", "Javad", "" ] ]
We study entropy-regularized constrained Markov decision processes (CMDPs) under the soft-max parameterization, in which an agent aims to maximize the entropy-regularized value function while satisfying constraints on the expected total utility. By leveraging the entropy regularization, our theoretical analysis shows t...
2309.08198
Fabio Lorenzo Traversa Ph.D.
Tristan Sharp, Rishabh Khare, Erick Pederson, Fabio Lorenzo Traversa
Scaling up prime factorization with self-organizing gates: A memcomputing approach
null
null
null
null
cs.ET cs.CR nlin.AO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We report preliminary results on using the MEMCPU\texttrademark{} Platform to compute the prime factorization of large biprimes. The first approach, the direct model, directly returns the factors of a given biprime. The second approach, the congruence model, returns smooth congruences to address the bottleneck of sta...
[ { "created": "Fri, 15 Sep 2023 07:02:54 GMT", "version": "v1" } ]
2023-09-18
[ [ "Sharp", "Tristan", "" ], [ "Khare", "Rishabh", "" ], [ "Pederson", "Erick", "" ], [ "Traversa", "Fabio Lorenzo", "" ] ]
We report preliminary results on using the MEMCPU\texttrademark{} Platform to compute the prime factorization of large biprimes. The first approach, the direct model, directly returns the factors of a given biprime. The second approach, the congruence model, returns smooth congruences to address the bottleneck of stand...
1905.08902
Simon Duque Anton
Simon Duque Anton, Daniel Fraunholz, Christoph Lipps, Frederic Pohl, Marc Zimmermann and Hans D. Schotten
Two Decades of SCADA Exploitation: A Brief History
null
null
10.1109/AINS.2017.8270432
null
cs.CR cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since the early 1960, industrial process control has been applied by electric systems. In the mid 1970's, the term SCADA emerged, describing the automated control and data acquisition. Since most industrial and automation networks were physically isolated, security was not an issue. This changed, when in the early 20...
[ { "created": "Tue, 21 May 2019 23:51:08 GMT", "version": "v1" } ]
2019-05-23
[ [ "Anton", "Simon Duque", "" ], [ "Fraunholz", "Daniel", "" ], [ "Lipps", "Christoph", "" ], [ "Pohl", "Frederic", "" ], [ "Zimmermann", "Marc", "" ], [ "Schotten", "Hans D.", "" ] ]
Since the early 1960, industrial process control has been applied by electric systems. In the mid 1970's, the term SCADA emerged, describing the automated control and data acquisition. Since most industrial and automation networks were physically isolated, security was not an issue. This changed, when in the early 2000...
2206.13135
Shuhao Deng
Chengfei Li, Shuhao Deng, Yaoping Wang, Guangjing Wang, Yaguang Gong, Changbin Chen and Jinfeng Bai
TALCS: An Open-Source Mandarin-English Code-Switching Corpus and a Speech Recognition Baseline
accepted by INTERSPEECH 2022
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a new corpus of Mandarin-English code-switching speech recognition--TALCS corpus, suitable for training and evaluating code-switching speech recognition systems. TALCS corpus is derived from real online one-to-one English teaching scenes in TAL education group, which contains roughly 587 hours o...
[ { "created": "Mon, 27 Jun 2022 09:30:25 GMT", "version": "v1" } ]
2022-06-28
[ [ "Li", "Chengfei", "" ], [ "Deng", "Shuhao", "" ], [ "Wang", "Yaoping", "" ], [ "Wang", "Guangjing", "" ], [ "Gong", "Yaguang", "" ], [ "Chen", "Changbin", "" ], [ "Bai", "Jinfeng", "" ] ]
This paper introduces a new corpus of Mandarin-English code-switching speech recognition--TALCS corpus, suitable for training and evaluating code-switching speech recognition systems. TALCS corpus is derived from real online one-to-one English teaching scenes in TAL education group, which contains roughly 587 hours of ...
1002.0576
Aubin Lecointre
Aubin Lecointre (LAAS), Daniela Dragomirescu (LAAS), Robert Plana (LAAS)
New methodology to design advanced MR-IRUWB communication system
null
Electronics Letters / IEE Electronics Letters (2008) 1412-1413
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A new model is proposed giving the channel capability of a MB-IR-UWB system versus the number of subband and the duty cycle. The architecture simulated shows data rate ranging from 1.434 Gbits/s to 0.9 Gbits/s for 16 to 10 subbands and duty cycle ranging from 20% to 12%.
[ { "created": "Tue, 2 Feb 2010 20:06:38 GMT", "version": "v1" } ]
2010-02-03
[ [ "Lecointre", "Aubin", "", "LAAS" ], [ "Dragomirescu", "Daniela", "", "LAAS" ], [ "Plana", "Robert", "", "LAAS" ] ]
A new model is proposed giving the channel capability of a MB-IR-UWB system versus the number of subband and the duty cycle. The architecture simulated shows data rate ranging from 1.434 Gbits/s to 0.9 Gbits/s for 16 to 10 subbands and duty cycle ranging from 20% to 12%.
1304.1828
Ilan Shomorony
Himanshu Asnani, Ilan Shomorony, A. Salman Avestimehr and Tsachy Weissman
Network Compression: Worst-Case Analysis
Submitted to IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of communicating a distributed correlated memoryless source over a memoryless network, from source nodes to destination nodes, under quadratic distortion constraints. We establish the following two complementary results: (a) for an arbitrary memoryless network, among all distributed memoryless so...
[ { "created": "Fri, 5 Apr 2013 21:54:23 GMT", "version": "v1" } ]
2013-04-09
[ [ "Asnani", "Himanshu", "" ], [ "Shomorony", "Ilan", "" ], [ "Avestimehr", "A. Salman", "" ], [ "Weissman", "Tsachy", "" ] ]
We study the problem of communicating a distributed correlated memoryless source over a memoryless network, from source nodes to destination nodes, under quadratic distortion constraints. We establish the following two complementary results: (a) for an arbitrary memoryless network, among all distributed memoryless sour...
1105.6065
Premkumar Karumbu
Premkumar Karumbu, Venkata K. Prasanthi M., Anurag Kumar
Delay Optimal Event Detection on Ad Hoc Wireless Sensor Networks
To appear in ACM Transactions on Sensor Networks. A part of this work was presented in IEEE SECON 2006, and Allerton 2010
null
10.1145/2140522.2140525
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a small extent sensor network for event detection, in which nodes take samples periodically and then contend over a {\em random access network} to transmit their measurement packets to the fusion center. We consider two procedures at the fusion center to process the measurements. The Bayesian setting is a...
[ { "created": "Mon, 30 May 2011 18:45:33 GMT", "version": "v1" } ]
2016-11-18
[ [ "Karumbu", "Premkumar", "" ], [ "M.", "Venkata K. Prasanthi", "" ], [ "Kumar", "Anurag", "" ] ]
We consider a small extent sensor network for event detection, in which nodes take samples periodically and then contend over a {\em random access network} to transmit their measurement packets to the fusion center. We consider two procedures at the fusion center to process the measurements. The Bayesian setting is ass...
2206.13714
James Queeney
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse
null
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by/4.0/
Data-driven, learning-based control methods offer the potential to improve operations in complex systems, and model-free deep reinforcement learning represents a popular approach to data-driven control. However, existing classes of algorithms present a trade-off between two important deployment requirements for real-...
[ { "created": "Tue, 28 Jun 2022 02:56:12 GMT", "version": "v1" }, { "created": "Fri, 14 Apr 2023 02:29:32 GMT", "version": "v2" } ]
2023-04-17
[ [ "Queeney", "James", "" ], [ "Paschalidis", "Ioannis Ch.", "" ], [ "Cassandras", "Christos G.", "" ] ]
Data-driven, learning-based control methods offer the potential to improve operations in complex systems, and model-free deep reinforcement learning represents a popular approach to data-driven control. However, existing classes of algorithms present a trade-off between two important deployment requirements for real-wo...
1802.07251
Hashim A. Hashim
Hashim A. Hashim, Sami El-Ferik, Mohamed A. Abido
A fuzzy logic feedback filter design tuned with PSO for L1 adaptive controller
null
Expert Systems with Applications 42, no. 23 (2015): 9077-9085
10.1016/j.eswa.2015.08.026
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
L1 adaptive controller has been recognized for having a structure that allows decoupling between robustness and adaption owing to the introduction of a low pass filter with adjustable gain in the feedback loop. The trade-off between performance, fast adaptation and robustness, is the main criteria when selecting the ...
[ { "created": "Tue, 20 Feb 2018 18:56:25 GMT", "version": "v1" }, { "created": "Mon, 26 Feb 2018 16:04:31 GMT", "version": "v2" }, { "created": "Fri, 23 Mar 2018 15:45:11 GMT", "version": "v3" }, { "created": "Sat, 31 Mar 2018 20:51:12 GMT", "version": "v4" }, { "c...
2018-09-17
[ [ "Hashim", "Hashim A.", "" ], [ "El-Ferik", "Sami", "" ], [ "Abido", "Mohamed A.", "" ] ]
L1 adaptive controller has been recognized for having a structure that allows decoupling between robustness and adaption owing to the introduction of a low pass filter with adjustable gain in the feedback loop. The trade-off between performance, fast adaptation and robustness, is the main criteria when selecting the st...
2308.09583
Qingfeng Sun
Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
LLM, Mathematical Reasoning
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs), such as GPT-4, have shown remarkable performance in natural language processing (NLP) tasks, including challenging mathematical reasoning. However, most existing open-source models are only pre-trained on large-scale internet data and without math-related optimization. In this paper, we ...
[ { "created": "Fri, 18 Aug 2023 14:23:21 GMT", "version": "v1" } ]
2023-08-21
[ [ "Luo", "Haipeng", "" ], [ "Sun", "Qingfeng", "" ], [ "Xu", "Can", "" ], [ "Zhao", "Pu", "" ], [ "Lou", "Jianguang", "" ], [ "Tao", "Chongyang", "" ], [ "Geng", "Xiubo", "" ], [ "Lin", "Qingwei",...
Large language models (LLMs), such as GPT-4, have shown remarkable performance in natural language processing (NLP) tasks, including challenging mathematical reasoning. However, most existing open-source models are only pre-trained on large-scale internet data and without math-related optimization. In this paper, we pr...
2203.15529
Huck Yang
Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
Treatment Learning Causal Transformer for Noisy Image Classification
Accepted to IEEE WACV 2023. The first version was finished in May 2018
null
10.1109/WACV56688.2023.00608
null
cs.CV cs.AI cs.LG eess.IV
http://creativecommons.org/licenses/by-sa/4.0/
Current top-notch deep learning (DL) based vision models are primarily based on exploring and exploiting the inherent correlations between training data samples and their associated labels. However, a known practical challenge is their degraded performance against "noisy" data, induced by different circumstances such...
[ { "created": "Tue, 29 Mar 2022 13:07:53 GMT", "version": "v1" }, { "created": "Mon, 30 Oct 2023 06:22:50 GMT", "version": "v2" } ]
2023-10-31
[ [ "Yang", "Chao-Han Huck", "" ], [ "Hung", "I-Te Danny", "" ], [ "Liu", "Yi-Chieh", "" ], [ "Chen", "Pin-Yu", "" ] ]
Current top-notch deep learning (DL) based vision models are primarily based on exploring and exploiting the inherent correlations between training data samples and their associated labels. However, a known practical challenge is their degraded performance against "noisy" data, induced by different circumstances such a...
1702.08484
Aditya Grover
Aditya Grover, Stefano Ermon
Boosted Generative Models
AAAI 2018
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel approach for using unsupervised boosting to create an ensemble of generative models, where models are trained in sequence to correct earlier mistakes. Our meta-algorithmic framework can leverage any existing base learner that permits likelihood evaluation, including recent deep expressive models. F...
[ { "created": "Mon, 27 Feb 2017 19:28:40 GMT", "version": "v1" }, { "created": "Fri, 22 Dec 2017 10:13:51 GMT", "version": "v2" } ]
2017-12-25
[ [ "Grover", "Aditya", "" ], [ "Ermon", "Stefano", "" ] ]
We propose a novel approach for using unsupervised boosting to create an ensemble of generative models, where models are trained in sequence to correct earlier mistakes. Our meta-algorithmic framework can leverage any existing base learner that permits likelihood evaluation, including recent deep expressive models. Fur...
2012.04964
Marco Gaido
Marco Gaido, Mattia A. Di Gangi, Matteo Negri, Marco Turchi
On Knowledge Distillation for Direct Speech Translation
Accepted at CLiC-IT 2020
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Direct speech translation (ST) has shown to be a complex task requiring knowledge transfer from its sub-tasks: automatic speech recognition (ASR) and machine translation (MT). For MT, one of the most promising techniques to transfer knowledge is knowledge distillation. In this paper, we compare the different solution...
[ { "created": "Wed, 9 Dec 2020 10:33:13 GMT", "version": "v1" } ]
2020-12-10
[ [ "Gaido", "Marco", "" ], [ "Di Gangi", "Mattia A.", "" ], [ "Negri", "Matteo", "" ], [ "Turchi", "Marco", "" ] ]
Direct speech translation (ST) has shown to be a complex task requiring knowledge transfer from its sub-tasks: automatic speech recognition (ASR) and machine translation (MT). For MT, one of the most promising techniques to transfer knowledge is knowledge distillation. In this paper, we compare the different solutions ...
1803.09939
Daming Zou
Daming Zou, Jingjing Liang, Yingfei Xiong, Michael D. Ernst, and Lu Zhang
An Empirical Study of Fault Localization Families and Their Combinations
Accepted by Transactions on Software Engineering Dec 7, 2018
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The performance of fault localization techniques is critical to their adoption in practice. This paper reports on an empirical study of a wide range of fault localization techniques on real-world faults. Different from previous studies, this paper (1) considers a wide range of techniques from different families, (2) ...
[ { "created": "Tue, 27 Mar 2018 07:47:40 GMT", "version": "v1" }, { "created": "Mon, 7 Jan 2019 09:07:55 GMT", "version": "v2" } ]
2019-01-08
[ [ "Zou", "Daming", "" ], [ "Liang", "Jingjing", "" ], [ "Xiong", "Yingfei", "" ], [ "Ernst", "Michael D.", "" ], [ "Zhang", "Lu", "" ] ]
The performance of fault localization techniques is critical to their adoption in practice. This paper reports on an empirical study of a wide range of fault localization techniques on real-world faults. Different from previous studies, this paper (1) considers a wide range of techniques from different families, (2) co...
2209.05235
Haobo Chen
Haobo Chen, Chuyang Zhao, Kai Tu, Junru Chen, Yadong Li, Boxun Li
Style Variable and Irrelevant Learning for Generalizable Person Re-identification
12pages, 5 figures;
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, due to the poor performance of supervised person re-identification (ReID) to an unseen domain, Domain Generalization (DG) person ReID has attracted a lot of attention which aims to learn a domain-insensitive model and can resist the influence of domain bias. In this paper, we first verify through an experim...
[ { "created": "Mon, 12 Sep 2022 13:31:43 GMT", "version": "v1" } ]
2022-09-13
[ [ "Chen", "Haobo", "" ], [ "Zhao", "Chuyang", "" ], [ "Tu", "Kai", "" ], [ "Chen", "Junru", "" ], [ "Li", "Yadong", "" ], [ "Li", "Boxun", "" ] ]
Recently, due to the poor performance of supervised person re-identification (ReID) to an unseen domain, Domain Generalization (DG) person ReID has attracted a lot of attention which aims to learn a domain-insensitive model and can resist the influence of domain bias. In this paper, we first verify through an experimen...
2103.09904
Umut \"Ozkaya
Saban Ozturk, Enes Yigit and Umut Ozkaya
Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP
13 pages,8 figures
null
null
null
cs.LG eess.IV
http://creativecommons.org/licenses/by/4.0/
The new type of Coronavirus disease called COVID-19 continues to spread quite rapidly. Although it shows some specific symptoms, this disease, which can show different symptoms in almost every individual, has caused hundreds of thousands of patients to die. Although healthcare professionals work hard to prevent furth...
[ { "created": "Mon, 15 Mar 2021 14:30:12 GMT", "version": "v1" } ]
2021-03-19
[ [ "Ozturk", "Saban", "" ], [ "Yigit", "Enes", "" ], [ "Ozkaya", "Umut", "" ] ]
The new type of Coronavirus disease called COVID-19 continues to spread quite rapidly. Although it shows some specific symptoms, this disease, which can show different symptoms in almost every individual, has caused hundreds of thousands of patients to die. Although healthcare professionals work hard to prevent further...
1406.3395
Paraskevas Lekeas
Paraskevas V. Lekeas
An Evolutionary Approach to Coalition Formation
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Cooperative Games with Externalities when the members of a set S \subset N of agents wish to deviate they need to calculate their worth. This worth depends on what the non-members (outsiders) N \setminus S will do, which in turn depends on which coalition structure the outsiders will form. Since this coalition for...
[ { "created": "Fri, 13 Jun 2014 00:41:08 GMT", "version": "v1" } ]
2014-06-16
[ [ "Lekeas", "Paraskevas V.", "" ] ]
In Cooperative Games with Externalities when the members of a set S \subset N of agents wish to deviate they need to calculate their worth. This worth depends on what the non-members (outsiders) N \setminus S will do, which in turn depends on which coalition structure the outsiders will form. Since this coalition forma...
2405.17531
Hanxue Liang
Fangneng Zhan, Hanxue Liang, Yifan Wang, Michael Niemeyer, Michael Oechsle, Adam Kortylewski, Cengiz Oztireli, Gordon Wetzstein, Christian Theobalt
Evolutive Rendering Models
Project page: https://fnzhan.com/Evolutive-Rendering-Models/
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The landscape of computer graphics has undergone significant transformations with the recent advances of differentiable rendering models. These rendering models often rely on heuristic designs that may not fully align with the final rendering objectives. We address this gap by pioneering \textit{evolutive rendering m...
[ { "created": "Mon, 27 May 2024 17:40:00 GMT", "version": "v1" } ]
2024-05-29
[ [ "Zhan", "Fangneng", "" ], [ "Liang", "Hanxue", "" ], [ "Wang", "Yifan", "" ], [ "Niemeyer", "Michael", "" ], [ "Oechsle", "Michael", "" ], [ "Kortylewski", "Adam", "" ], [ "Oztireli", "Cengiz", "" ], [ ...
The landscape of computer graphics has undergone significant transformations with the recent advances of differentiable rendering models. These rendering models often rely on heuristic designs that may not fully align with the final rendering objectives. We address this gap by pioneering \textit{evolutive rendering mod...
1312.0352
EPTCS
K. Lano (King's College London), S. Kolahdouz-Rahimi (King's College London), K. Maroukian (King's College London)
Solving the Petri-Nets to Statecharts Transformation Case with UML-RSDS
In Proceedings TTC 2013, arXiv:1311.7536
EPTCS 135, 2013, pp. 101-105
10.4204/EPTCS.135.13
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper provides a solution to the Petri-Nets to statecharts case using UML-RSDS. We show how a highly declarative solution which is confluent and invertible can be given using this approach.
[ { "created": "Mon, 2 Dec 2013 07:01:06 GMT", "version": "v1" } ]
2013-12-03
[ [ "Lano", "K.", "", "King's College London" ], [ "Kolahdouz-Rahimi", "S.", "", "King's College\n London" ], [ "Maroukian", "K.", "", "King's College London" ] ]
This paper provides a solution to the Petri-Nets to statecharts case using UML-RSDS. We show how a highly declarative solution which is confluent and invertible can be given using this approach.
2403.06814
Hao-Lun Hsu
Hao-Lun Hsu, Qitong Gao, Miroslav Pajic
{\epsilon}-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment
11 pages, 12 figures, 2 tables. To appear in the 15th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS'2024)
null
null
null
cs.LG q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Brain Stimulation (DBS) stands as an effective intervention for alleviating the motor symptoms of Parkinson's disease (PD). Traditional commercial DBS devices are only able to deliver fixed-frequency periodic pulses to the basal ganglia (BG) regions of the brain, i.e., continuous DBS (cDBS). However, they in gen...
[ { "created": "Mon, 11 Mar 2024 15:33:40 GMT", "version": "v1" } ]
2024-03-12
[ [ "Hsu", "Hao-Lun", "" ], [ "Gao", "Qitong", "" ], [ "Pajic", "Miroslav", "" ] ]
Deep Brain Stimulation (DBS) stands as an effective intervention for alleviating the motor symptoms of Parkinson's disease (PD). Traditional commercial DBS devices are only able to deliver fixed-frequency periodic pulses to the basal ganglia (BG) regions of the brain, i.e., continuous DBS (cDBS). However, they in gener...
2103.15171
Ramya Ramakrishnan
Ramya Ramakrishnan, Vaibhav Unhelkar, Ece Kamar, Julie Shah
A Bayesian Approach to Identifying Representational Errors
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Trained AI systems and expert decision makers can make errors that are often difficult to identify and understand. Determining the root cause for these errors can improve future decisions. This work presents Generative Error Model (GEM), a generative model for inferring representational errors based on observations o...
[ { "created": "Sun, 28 Mar 2021 16:43:01 GMT", "version": "v1" } ]
2021-03-30
[ [ "Ramakrishnan", "Ramya", "" ], [ "Unhelkar", "Vaibhav", "" ], [ "Kamar", "Ece", "" ], [ "Shah", "Julie", "" ] ]
Trained AI systems and expert decision makers can make errors that are often difficult to identify and understand. Determining the root cause for these errors can improve future decisions. This work presents Generative Error Model (GEM), a generative model for inferring representational errors based on observations of ...
2209.03225
Qutub Syed Sha Mr.
Syed Qutub, Florian Geissler, Yang Peng, Ralf Grafe, Michael Paulitsch, Gereon Hinz, Alois Knoll
Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs
15 pages, accepted in safecomp22 conference
null
10.1007/978-3-031-14835-4_20
null
cs.CV cs.AI eess.IV
http://creativecommons.org/licenses/by/4.0/
Object detection neural network models need to perform reliably in highly dynamic and safety-critical environments like automated driving or robotics. Therefore, it is paramount to verify the robustness of the detection under unexpected hardware faults like soft errors that can impact a systems perception module. Sta...
[ { "created": "Wed, 7 Sep 2022 15:27:09 GMT", "version": "v1" } ]
2022-09-08
[ [ "Qutub", "Syed", "" ], [ "Geissler", "Florian", "" ], [ "Peng", "Yang", "" ], [ "Grafe", "Ralf", "" ], [ "Paulitsch", "Michael", "" ], [ "Hinz", "Gereon", "" ], [ "Knoll", "Alois", "" ] ]
Object detection neural network models need to perform reliably in highly dynamic and safety-critical environments like automated driving or robotics. Therefore, it is paramount to verify the robustness of the detection under unexpected hardware faults like soft errors that can impact a systems perception module. Stand...
1706.07198
Asha V
V. Asha
Synthesis of Near-regular Natural Textures
5 Pages, 10 Figures, IJCRD-5(1), 2016
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Texture synthesis is widely used in the field of computer graphics, vision, and image processing. In the present paper, a texture synthesis algorithm is proposed for near-regular natural textures with the help of a representative periodic pattern extracted from the input textures using distance matching function. Loc...
[ { "created": "Thu, 22 Jun 2017 07:58:20 GMT", "version": "v1" } ]
2017-06-23
[ [ "Asha", "V.", "" ] ]
Texture synthesis is widely used in the field of computer graphics, vision, and image processing. In the present paper, a texture synthesis algorithm is proposed for near-regular natural textures with the help of a representative periodic pattern extracted from the input textures using distance matching function. Local...
2104.01633
Jia-Chang Feng
Jia-Chang Feng, Fa-Ting Hong, Wei-Shi Zheng
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
Accepted by CVPR 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Weakly supervised video anomaly detection (WS-VAD) is to distinguish anomalies from normal events based on discriminative representations. Most existing works are limited in insufficient video representations. In this work, we develop a multiple instance self-training framework (MIST)to efficiently refine task-specif...
[ { "created": "Sun, 4 Apr 2021 15:47:14 GMT", "version": "v1" } ]
2021-04-06
[ [ "Feng", "Jia-Chang", "" ], [ "Hong", "Fa-Ting", "" ], [ "Zheng", "Wei-Shi", "" ] ]
Weakly supervised video anomaly detection (WS-VAD) is to distinguish anomalies from normal events based on discriminative representations. Most existing works are limited in insufficient video representations. In this work, we develop a multiple instance self-training framework (MIST)to efficiently refine task-specific...
2109.12613
Jieming Zhu
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
Accepted by CIKM 2021. Code available at https://reczoo.github.io/SimpleX
null
null
null
cs.IR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Collaborative filtering (CF) is a widely studied research topic in recommender systems. The learning of a CF model generally depends on three major components, namely interaction encoder, loss function, and negative sampling. While many existing studies focus on the design of more powerful interaction encoders, the i...
[ { "created": "Sun, 26 Sep 2021 14:09:25 GMT", "version": "v1" }, { "created": "Sat, 25 Feb 2023 14:12:52 GMT", "version": "v2" }, { "created": "Thu, 30 Nov 2023 02:38:32 GMT", "version": "v3" } ]
2023-12-01
[ [ "Mao", "Kelong", "" ], [ "Zhu", "Jieming", "" ], [ "Wang", "Jinpeng", "" ], [ "Dai", "Quanyu", "" ], [ "Dong", "Zhenhua", "" ], [ "Xiao", "Xi", "" ], [ "He", "Xiuqiang", "" ] ]
Collaborative filtering (CF) is a widely studied research topic in recommender systems. The learning of a CF model generally depends on three major components, namely interaction encoder, loss function, and negative sampling. While many existing studies focus on the design of more powerful interaction encoders, the imp...
2108.13801
Andrea Bedin
Andrea Bedin, Federico Chiariotti, Stepan Kucera, Andrea Zanella
Optimal Latency-Oriented Scheduling in Parallel Queuing Systems
17 pages, 15 figures. Accepted at Transactions on Communications
IEEE Transactions on Communications ( Volume: 70, Issue: 10, October 2022), Pages: 6471 - 6488
10.1109/TCOMM.2022.3200105
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
The evolution of 5G and Beyond networks has enabled new applications with stringent end-to-end latency requirements, but providing reliable low-latency service with high throughput over public wireless networks is still a significant challenge. One of the possible ways to solve this is to exploit path diversity, enco...
[ { "created": "Tue, 31 Aug 2021 12:45:31 GMT", "version": "v1" }, { "created": "Thu, 25 Aug 2022 09:50:06 GMT", "version": "v2" } ]
2022-10-19
[ [ "Bedin", "Andrea", "" ], [ "Chiariotti", "Federico", "" ], [ "Kucera", "Stepan", "" ], [ "Zanella", "Andrea", "" ] ]
The evolution of 5G and Beyond networks has enabled new applications with stringent end-to-end latency requirements, but providing reliable low-latency service with high throughput over public wireless networks is still a significant challenge. One of the possible ways to solve this is to exploit path diversity, encodi...
2304.09395
Yan Jin
Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem
Accepted by AAAI 2023, February 2023
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an end-to-end learning framework based on hierarchical reinforcement learning, called H-TSP, for addressing the large-scale Travelling Salesman Problem (TSP). The proposed H-TSP constructs a solution of a TSP instance starting from the scratch relying on two components: the upper-level policy chooses a sma...
[ { "created": "Wed, 19 Apr 2023 03:10:30 GMT", "version": "v1" } ]
2023-04-20
[ [ "Pan", "Xuanhao", "" ], [ "Jin", "Yan", "" ], [ "Ding", "Yuandong", "" ], [ "Feng", "Mingxiao", "" ], [ "Zhao", "Li", "" ], [ "Song", "Lei", "" ], [ "Bian", "Jiang", "" ] ]
We propose an end-to-end learning framework based on hierarchical reinforcement learning, called H-TSP, for addressing the large-scale Travelling Salesman Problem (TSP). The proposed H-TSP constructs a solution of a TSP instance starting from the scratch relying on two components: the upper-level policy chooses a small...
2008.02555
George Alexandropoulos
Shaoe Lin and Beixiong Zheng and George C. Alexandropoulos and Miaowen Wen and Marco Di Renzo and Fangjiong Chen
Reconfigurable Intelligent Surfaces with Reflection Pattern Modulation: Beamforming Design and Performance Analysis
31 pages; 7 figures; under minor revision for an IEEE journal
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent considerations for reconfigurable intelligent surfaces (RISs) assume that RISs can convey information by reflection without the need of transmit radio frequency chains, which, however, is a challenging task. In this paper, we propose an RIS-enhanced multiple-input single-output system with reflection pattern m...
[ { "created": "Thu, 6 Aug 2020 10:12:42 GMT", "version": "v1" } ]
2020-08-07
[ [ "Lin", "Shaoe", "" ], [ "Zheng", "Beixiong", "" ], [ "Alexandropoulos", "George C.", "" ], [ "Wen", "Miaowen", "" ], [ "Di Renzo", "Marco", "" ], [ "Chen", "Fangjiong", "" ] ]
Recent considerations for reconfigurable intelligent surfaces (RISs) assume that RISs can convey information by reflection without the need of transmit radio frequency chains, which, however, is a challenging task. In this paper, we propose an RIS-enhanced multiple-input single-output system with reflection pattern mod...
1907.01463
Matthew McDermott
Matthew B.A. McDermott (1), Shirly Wang (2), Nikki Marinsek (3), Rajesh Ranganath (4), Marzyeh Ghassemi (2 and 5), Luca Foschini (3) ((1) Massachusetts Institute of Technology, (2) University of Toronto, (3) Evidation Health, Inc., (4) New York University, (5) Vector Institute)
Reproducibility in Machine Learning for Health
Presented at the ICLR 2019 Reproducibility in Machine Learning Workshop
null
null
null
cs.LG cs.CY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning algorithms designed to characterize, monitor, and intervene on human health (ML4H) are expected to perform safely and reliably when operating at scale, potentially outside strict human supervision. This requirement warrants a stricter attention to issues of reproducibility than other fields of machin...
[ { "created": "Tue, 2 Jul 2019 15:46:46 GMT", "version": "v1" } ]
2019-07-03
[ [ "McDermott", "Matthew B. A.", "", "2 and 5" ], [ "Wang", "Shirly", "", "2 and 5" ], [ "Marinsek", "Nikki", "", "2 and 5" ], [ "Ranganath", "Rajesh", "", "2 and 5" ], [ "Ghassemi", "Marzyeh", "", "2 and 5" ], [ ...
Machine learning algorithms designed to characterize, monitor, and intervene on human health (ML4H) are expected to perform safely and reliably when operating at scale, potentially outside strict human supervision. This requirement warrants a stricter attention to issues of reproducibility than other fields of machine ...
2404.01140
Kyuhee Kim
Kyuhee Kim and Surin Lee and Sangah Lee
KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels
12 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present KoCoNovel, a novel character coreference dataset derived from Korean literary texts, complete with detailed annotation guidelines. Comprising 178K tokens from 50 modern and contemporary novels, KoCoNovel stands as one of the largest public coreference resolution corpora in Korean, and the fi...
[ { "created": "Mon, 1 Apr 2024 14:36:35 GMT", "version": "v1" }, { "created": "Thu, 11 Apr 2024 14:57:10 GMT", "version": "v2" } ]
2024-04-12
[ [ "Kim", "Kyuhee", "" ], [ "Lee", "Surin", "" ], [ "Lee", "Sangah", "" ] ]
In this paper, we present KoCoNovel, a novel character coreference dataset derived from Korean literary texts, complete with detailed annotation guidelines. Comprising 178K tokens from 50 modern and contemporary novels, KoCoNovel stands as one of the largest public coreference resolution corpora in Korean, and the firs...
1610.06934
David Burstein
David Burstein and Leigh Metcalf
The K Shortest Paths Problem with Application to Routing
37 pages, 6 figures
null
null
null
cs.DS cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the computational complexity of finding almost shortest simple paths, we propose that identifying a larger collection of (nonbacktracking) paths is more efficient than finding almost shortest simple paths on positively weighted real-world networks. First, we present an easy to implement $O(m\log m+kL)$ solutio...
[ { "created": "Fri, 21 Oct 2016 20:02:53 GMT", "version": "v1" }, { "created": "Thu, 4 May 2017 17:25:07 GMT", "version": "v2" }, { "created": "Tue, 7 Nov 2017 17:25:15 GMT", "version": "v3" } ]
2017-11-08
[ [ "Burstein", "David", "" ], [ "Metcalf", "Leigh", "" ] ]
Due to the computational complexity of finding almost shortest simple paths, we propose that identifying a larger collection of (nonbacktracking) paths is more efficient than finding almost shortest simple paths on positively weighted real-world networks. First, we present an easy to implement $O(m\log m+kL)$ solution ...
2010.04801
Yu-Chuan (Jane) Yen
Jane Yen and Tam\'as L\'evai and Qinyuan Ye and Xiang Ren and Ramesh Govindan and Barath Raghavan
Semi-Automated Protocol Disambiguation and Code Generation
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For decades, Internet protocols have been specified using natural language. Given the ambiguity inherent in such text, it is not surprising that protocol implementations have long exhibited bugs. In this paper, we apply natural language processing (NLP) to effect semi-automated generation of protocol implementations ...
[ { "created": "Fri, 9 Oct 2020 20:57:05 GMT", "version": "v1" }, { "created": "Tue, 2 Feb 2021 00:51:54 GMT", "version": "v2" } ]
2021-02-03
[ [ "Yen", "Jane", "" ], [ "Lévai", "Tamás", "" ], [ "Ye", "Qinyuan", "" ], [ "Ren", "Xiang", "" ], [ "Govindan", "Ramesh", "" ], [ "Raghavan", "Barath", "" ] ]
For decades, Internet protocols have been specified using natural language. Given the ambiguity inherent in such text, it is not surprising that protocol implementations have long exhibited bugs. In this paper, we apply natural language processing (NLP) to effect semi-automated generation of protocol implementations fr...
2110.08518
Lei Cui
Junlong Li, Yiheng Xu, Lei Cui, Furu Wei
MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document Understanding
ACL 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Multimodal pre-training with text, layout, and image has made significant progress for Visually Rich Document Understanding (VRDU), especially the fixed-layout documents such as scanned document images. While, there are still a large number of digital documents where the layout information is not fixed and needs to b...
[ { "created": "Sat, 16 Oct 2021 09:17:28 GMT", "version": "v1" }, { "created": "Fri, 11 Mar 2022 15:38:07 GMT", "version": "v2" } ]
2022-03-14
[ [ "Li", "Junlong", "" ], [ "Xu", "Yiheng", "" ], [ "Cui", "Lei", "" ], [ "Wei", "Furu", "" ] ]
Multimodal pre-training with text, layout, and image has made significant progress for Visually Rich Document Understanding (VRDU), especially the fixed-layout documents such as scanned document images. While, there are still a large number of digital documents where the layout information is not fixed and needs to be ...
2310.01361
Lirui Wang
Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang
GenSim: Generating Robotic Simulation Tasks via Large Language Models
See our project website (https://liruiw.github.io/gensim), demo and datasets (https://huggingface.co/spaces/Gen-Sim/Gen-Sim), and code (https://github.com/liruiw/GenSim) for more details
International Conference on Learning Representations (ICLR), 2024
null
null
cs.LG cs.CL cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Collecting large amounts of real-world interaction data to train general robotic policies is often prohibitively expensive, thus motivating the use of simulation data. However, existing methods for data generation have generally focused on scene-level diversity (e.g., object instances and poses) rather than task-leve...
[ { "created": "Mon, 2 Oct 2023 17:23:48 GMT", "version": "v1" }, { "created": "Sun, 21 Jan 2024 21:01:12 GMT", "version": "v2" } ]
2024-01-23
[ [ "Wang", "Lirui", "" ], [ "Ling", "Yiyang", "" ], [ "Yuan", "Zhecheng", "" ], [ "Shridhar", "Mohit", "" ], [ "Bao", "Chen", "" ], [ "Qin", "Yuzhe", "" ], [ "Wang", "Bailin", "" ], [ "Xu", "Huazhe...
Collecting large amounts of real-world interaction data to train general robotic policies is often prohibitively expensive, thus motivating the use of simulation data. However, existing methods for data generation have generally focused on scene-level diversity (e.g., object instances and poses) rather than task-level ...
1711.06862
Rajnikant Sharma
Ishmaal Erekson, Rajnikant Sharma, Ashwini Ratnoo, Ryan Gerdes
Multi-vehicle Path Following using Modified Trajectory Shaping Guidance
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we formulate a virtual target-based path following guidance law aimed towards multi-vehicle path following problem. The guidance law is well suited to precisely follow circular paths while minting desired distance between two adjacent vehicles where path information is only available to the lead vehicl...
[ { "created": "Sat, 18 Nov 2017 13:39:16 GMT", "version": "v1" } ]
2017-11-21
[ [ "Erekson", "Ishmaal", "" ], [ "Sharma", "Rajnikant", "" ], [ "Ratnoo", "Ashwini", "" ], [ "Gerdes", "Ryan", "" ] ]
In this paper, we formulate a virtual target-based path following guidance law aimed towards multi-vehicle path following problem. The guidance law is well suited to precisely follow circular paths while minting desired distance between two adjacent vehicles where path information is only available to the lead vehicle....
2008.05723
Saket Anand
Sharat Agarwal and Himanshu Arora and Saket Anand and Chetan Arora
Contextual Diversity for Active Learning
A variant of this report is accepted in ECCV 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Requirement of large annotated datasets restrict the use of deep convolutional neural networks (CNNs) for many practical applications. The problem can be mitigated by using active learning (AL) techniques which, under a given annotation budget, allow to select a subset of data that yields maximum accuracy upon fine t...
[ { "created": "Thu, 13 Aug 2020 07:04:15 GMT", "version": "v1" } ]
2020-08-14
[ [ "Agarwal", "Sharat", "" ], [ "Arora", "Himanshu", "" ], [ "Anand", "Saket", "" ], [ "Arora", "Chetan", "" ] ]
Requirement of large annotated datasets restrict the use of deep convolutional neural networks (CNNs) for many practical applications. The problem can be mitigated by using active learning (AL) techniques which, under a given annotation budget, allow to select a subset of data that yields maximum accuracy upon fine tun...
2205.10059
Jinyu Guo
Jinyu Guo, Kai Shuang, Jijie Li, Zihan Wang and Yixuan Liu
Beyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking
Accepted by ACL 2022 main conference (long paper)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In dialogue state tracking, dialogue history is a crucial material, and its utilization varies between different models. However, no matter how the dialogue history is used, each existing model uses its own consistent dialogue history during the entire state tracking process, regardless of which slot is updated. Appa...
[ { "created": "Fri, 20 May 2022 10:08:45 GMT", "version": "v1" } ]
2022-05-23
[ [ "Guo", "Jinyu", "" ], [ "Shuang", "Kai", "" ], [ "Li", "Jijie", "" ], [ "Wang", "Zihan", "" ], [ "Liu", "Yixuan", "" ] ]
In dialogue state tracking, dialogue history is a crucial material, and its utilization varies between different models. However, no matter how the dialogue history is used, each existing model uses its own consistent dialogue history during the entire state tracking process, regardless of which slot is updated. Appare...
2102.05474
Zhuosheng Zhang
Zhuosheng Zhang, Junlong Li, Hai Zhao
Multi-turn Dialogue Reading Comprehension with Pivot Turns and Knowledge
The early version accepted by IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP)
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-turn dialogue reading comprehension aims to teach machines to read dialogue contexts and solve tasks such as response selection and answering questions. The major challenges involve noisy history contexts and especial prerequisites of commonsense knowledge that is unseen in the given material. Existing works ma...
[ { "created": "Wed, 10 Feb 2021 15:00:12 GMT", "version": "v1" } ]
2021-02-11
[ [ "Zhang", "Zhuosheng", "" ], [ "Li", "Junlong", "" ], [ "Zhao", "Hai", "" ] ]
Multi-turn dialogue reading comprehension aims to teach machines to read dialogue contexts and solve tasks such as response selection and answering questions. The major challenges involve noisy history contexts and especial prerequisites of commonsense knowledge that is unseen in the given material. Existing works main...
2104.11476
Pham Quang Nhat Minh Mr
Nguyen Manh Duc Tuan, Pham Quang Nhat Minh
Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection
RIVF 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Fake news detection is an important task for increasing the credibility of information on the media since fake news is constantly spreading on social media every day and it is a very serious concern in our society. Fake news is usually created by manipulating images, texts, and videos. In this paper, we present a nov...
[ { "created": "Fri, 23 Apr 2021 08:47:54 GMT", "version": "v1" }, { "created": "Tue, 27 Apr 2021 05:16:15 GMT", "version": "v2" } ]
2021-04-28
[ [ "Tuan", "Nguyen Manh Duc", "" ], [ "Minh", "Pham Quang Nhat", "" ] ]
Fake news detection is an important task for increasing the credibility of information on the media since fake news is constantly spreading on social media every day and it is a very serious concern in our society. Fake news is usually created by manipulating images, texts, and videos. In this paper, we present a novel...
2405.19559
Mohamed Seif
Mohamed Seif, Yanxi Chen
Clustering Mixtures of Discrete Distributions: A Note on Mitra's Algorithm
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this note, we provide a refined analysis of Mitra's algorithm \cite{mitra2008clustering} for classifying general discrete mixture distribution models. Built upon spectral clustering \cite{mcsherry2001spectral}, this algorithm offers compelling conditions for probability distributions. We enhance this analysis by t...
[ { "created": "Wed, 29 May 2024 22:55:45 GMT", "version": "v1" } ]
2024-05-31
[ [ "Seif", "Mohamed", "" ], [ "Chen", "Yanxi", "" ] ]
In this note, we provide a refined analysis of Mitra's algorithm \cite{mitra2008clustering} for classifying general discrete mixture distribution models. Built upon spectral clustering \cite{mcsherry2001spectral}, this algorithm offers compelling conditions for probability distributions. We enhance this analysis by tai...
1801.05151
Kai Qiao
Chi Zhang, Kai Qiao, Linyuan Wang, Li Tong, Ying Zeng, Bin Yan
Constraint-free Natural Image Reconstruction from fMRI Signals Based on Convolutional Neural Network
null
null
null
null
cs.CV cs.AI q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, research on decoding brain activity based on functional magnetic resonance imaging (fMRI) has made remarkable achievements. However, constraint-free natural image reconstruction from brain activity is still a challenge. The existing methods simplified the problem by using semantic prior information o...
[ { "created": "Tue, 16 Jan 2018 08:34:18 GMT", "version": "v1" } ]
2018-01-17
[ [ "Zhang", "Chi", "" ], [ "Qiao", "Kai", "" ], [ "Wang", "Linyuan", "" ], [ "Tong", "Li", "" ], [ "Zeng", "Ying", "" ], [ "Yan", "Bin", "" ] ]
In recent years, research on decoding brain activity based on functional magnetic resonance imaging (fMRI) has made remarkable achievements. However, constraint-free natural image reconstruction from brain activity is still a challenge. The existing methods simplified the problem by using semantic prior information or ...
2312.02532
Keonwoo Kim
Keonwoo Kim and Younggun Lee
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework
null
null
null
null
cs.IR cs.CL
http://creativecommons.org/licenses/by/4.0/
With the growing volume of diverse information, the demand for classifying arbitrary topics has become increasingly critical. To address this challenge, we introduce DRAFT, a simple framework designed to train a classifier for few-shot topic classification. DRAFT uses a few examples of a specific topic as queries to ...
[ { "created": "Tue, 5 Dec 2023 06:28:45 GMT", "version": "v1" } ]
2023-12-06
[ [ "Kim", "Keonwoo", "" ], [ "Lee", "Younggun", "" ] ]
With the growing volume of diverse information, the demand for classifying arbitrary topics has become increasingly critical. To address this challenge, we introduce DRAFT, a simple framework designed to train a classifier for few-shot topic classification. DRAFT uses a few examples of a specific topic as queries to co...
1808.08603
Xinlei Pan
Xinlei Pan, Sung-Li Chiang, John Canny
Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-driving vehicle vision systems must deal with an extremely broad and challenging set of scenes. They can potentially exploit an enormous amount of training data collected from vehicles in the field, but the volumes are too large to train offline naively. Not all training instances are equally valuable though, an...
[ { "created": "Sun, 26 Aug 2018 18:10:23 GMT", "version": "v1" } ]
2018-08-28
[ [ "Pan", "Xinlei", "" ], [ "Chiang", "Sung-Li", "" ], [ "Canny", "John", "" ] ]
Self-driving vehicle vision systems must deal with an extremely broad and challenging set of scenes. They can potentially exploit an enormous amount of training data collected from vehicles in the field, but the volumes are too large to train offline naively. Not all training instances are equally valuable though, and ...
2203.11076
Viet Khoa Tran
Tran Viet Khoa, Do Hai Son, Dinh Thai Hoang, Nguyen Linh Trung, Tran Thi Thuy Quynh, Diep N. Nguyen, Nguyen Viet Ha and Eryk Dutkiewicz
Collaborative Learning for Cyberattack Detection in Blockchain Networks
null
IEEE Transactions on Systems, Man, and Cybernetics: Systems (2024)
10.1109/TSMC.2024.3374280
null
cs.CR cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
This article aims to study intrusion attacks and then develop a novel cyberattack detection framework to detect cyberattacks at the network layer (e.g., Brute Password and Flooding of Transactions) of blockchain networks. Specifically, we first design and implement a blockchain network in our laboratory. This blockch...
[ { "created": "Mon, 21 Mar 2022 15:55:41 GMT", "version": "v1" }, { "created": "Thu, 15 Sep 2022 07:52:01 GMT", "version": "v2" }, { "created": "Wed, 5 Jul 2023 03:29:28 GMT", "version": "v3" }, { "created": "Mon, 6 May 2024 15:58:41 GMT", "version": "v4" } ]
2024-05-07
[ [ "Khoa", "Tran Viet", "" ], [ "Son", "Do Hai", "" ], [ "Hoang", "Dinh Thai", "" ], [ "Trung", "Nguyen Linh", "" ], [ "Quynh", "Tran Thi Thuy", "" ], [ "Nguyen", "Diep N.", "" ], [ "Ha", "Nguyen Viet", "" ]...
This article aims to study intrusion attacks and then develop a novel cyberattack detection framework to detect cyberattacks at the network layer (e.g., Brute Password and Flooding of Transactions) of blockchain networks. Specifically, we first design and implement a blockchain network in our laboratory. This blockchai...
2005.04437
Sravan Mylavarapu
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K Madhava Krishna, Balaraman Ravindran, Anoop Namboodiri
Understanding Dynamic Scenes using Graph Convolution Networks
To appear at IROS 2020
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We present a novel Multi-Relational Graph Convolutional Network (MRGCN) based framework to model on-road vehicle behaviors from a sequence of temporally ordered frames as grabbed by a moving monocular camera. The input to MRGCN is a multi-relational graph where the graph's nodes represent the active and passive agent...
[ { "created": "Sat, 9 May 2020 13:05:06 GMT", "version": "v1" }, { "created": "Fri, 15 May 2020 06:11:03 GMT", "version": "v2" }, { "created": "Tue, 21 Jul 2020 05:33:55 GMT", "version": "v3" }, { "created": "Thu, 13 Aug 2020 11:20:01 GMT", "version": "v4" }, { "cr...
2020-08-17
[ [ "Mylavarapu", "Sravan", "" ], [ "Sandhu", "Mahtab", "" ], [ "Vijayan", "Priyesh", "" ], [ "Krishna", "K Madhava", "" ], [ "Ravindran", "Balaraman", "" ], [ "Namboodiri", "Anoop", "" ] ]
We present a novel Multi-Relational Graph Convolutional Network (MRGCN) based framework to model on-road vehicle behaviors from a sequence of temporally ordered frames as grabbed by a moving monocular camera. The input to MRGCN is a multi-relational graph where the graph's nodes represent the active and passive agents/...
1902.09162
Shuai Li
Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
Improved Algorithm on Online Clustering of Bandits
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We generalize the setting of online clustering of bandits by allowing non-uniform distribution over user frequencies. A more efficient algorithm is proposed with simple set structures to represent clusters. We prove a regret bound for the new algorithm which is free of the minimal frequency over users. The experiment...
[ { "created": "Mon, 25 Feb 2019 09:31:15 GMT", "version": "v1" }, { "created": "Tue, 2 Jul 2019 08:43:49 GMT", "version": "v2" } ]
2019-07-03
[ [ "Li", "Shuai", "" ], [ "Chen", "Wei", "" ], [ "Li", "Shuai", "" ], [ "Leung", "Kwong-Sak", "" ] ]
We generalize the setting of online clustering of bandits by allowing non-uniform distribution over user frequencies. A more efficient algorithm is proposed with simple set structures to represent clusters. We prove a regret bound for the new algorithm which is free of the minimal frequency over users. The experiments ...
2403.17969
Arafat Islam
Arafat Islam, Md. Imtiaz Habib
Antimagic Labeling of Graphs Using Prime Numbers
11 pages, 15 figures
null
null
null
cs.DM math.CO
http://creativecommons.org/licenses/by/4.0/
Graph labeling is a technique that assigns unique labels or weights to the vertices or edges of a graph, often used to analyze and solve various graph-related problems. There are few methods with certain limitations conducted by researchers previously on this topic. This research paper focuses on antimagic labeling o...
[ { "created": "Sat, 16 Mar 2024 13:09:44 GMT", "version": "v1" } ]
2024-03-28
[ [ "Islam", "Arafat", "" ], [ "Habib", "Md. Imtiaz", "" ] ]
Graph labeling is a technique that assigns unique labels or weights to the vertices or edges of a graph, often used to analyze and solve various graph-related problems. There are few methods with certain limitations conducted by researchers previously on this topic. This research paper focuses on antimagic labeling of ...
2403.14468
Max Ku
Max Ku and Cong Wei and Weiming Ren and Harry Yang and Wenhu Chen
AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
preprint
null
null
null
cs.CV cs.AI cs.MM
http://creativecommons.org/licenses/by/4.0/
In the dynamic field of digital content creation using generative models, state-of-the-art video editing models still do not offer the level of quality and control that users desire. Previous works on video editing either extended from image-based generative models in a zero-shot manner or necessitated extensive fine...
[ { "created": "Thu, 21 Mar 2024 15:15:00 GMT", "version": "v1" }, { "created": "Fri, 22 Mar 2024 02:16:40 GMT", "version": "v2" }, { "created": "Mon, 10 Jun 2024 18:38:00 GMT", "version": "v3" } ]
2024-06-12
[ [ "Ku", "Max", "" ], [ "Wei", "Cong", "" ], [ "Ren", "Weiming", "" ], [ "Yang", "Harry", "" ], [ "Chen", "Wenhu", "" ] ]
In the dynamic field of digital content creation using generative models, state-of-the-art video editing models still do not offer the level of quality and control that users desire. Previous works on video editing either extended from image-based generative models in a zero-shot manner or necessitated extensive fine-t...
1303.5714
Gregory F. Cooper
Gregory F. Cooper, Edward H. Herskovits
A Bayesian Method for Constructing Bayesian Belief Networks from Databases
Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)
null
null
UAI-P-1991-PG-86-94
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a Bayesian method for constructing Bayesian belief networks from a database of cases. Potential applications include computer-assisted hypothesis testing, automated scientific discovery, and automated construction of probabilistic expert systems. Results are presented of a preliminary evaluation o...
[ { "created": "Wed, 20 Mar 2013 15:30:21 GMT", "version": "v1" } ]
2013-03-26
[ [ "Cooper", "Gregory F.", "" ], [ "Herskovits", "Edward H.", "" ] ]
This paper presents a Bayesian method for constructing Bayesian belief networks from a database of cases. Potential applications include computer-assisted hypothesis testing, automated scientific discovery, and automated construction of probabilistic expert systems. Results are presented of a preliminary evaluation of ...
2009.12125
Enrique Garcia-Ceja
Enrique Garcia-Ceja, {\AA}smund Hugo, Brice Morin, Per-Olav Hansen, Espen Martinsen, An Ngoc Lam, {\O}ystein Haugen
Towards the Automation of a Chemical Sulphonation Process with Machine Learning
Published in: 2019 7th International Conference on Control, Mechatronics and Automation (ICCMA)
2019 7th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 352-357). IEEE
10.1109/ICCMA46720.2019.8988752
null
cs.LG eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, the continuous improvement and automation of industrial processes has become a key factor in many fields, and in the chemical industry, it is no exception. This translates into a more efficient use of resources, reduced production time, output of higher quality and reduced waste. Given the complexity of tod...
[ { "created": "Fri, 25 Sep 2020 10:56:41 GMT", "version": "v1" } ]
2020-09-28
[ [ "Garcia-Ceja", "Enrique", "" ], [ "Hugo", "Åsmund", "" ], [ "Morin", "Brice", "" ], [ "Hansen", "Per-Olav", "" ], [ "Martinsen", "Espen", "" ], [ "Lam", "An Ngoc", "" ], [ "Haugen", "Øystein", "" ] ]
Nowadays, the continuous improvement and automation of industrial processes has become a key factor in many fields, and in the chemical industry, it is no exception. This translates into a more efficient use of resources, reduced production time, output of higher quality and reduced waste. Given the complexity of today...
1502.01699
Tolga Eren
Tolga Eren
Graph invariants for unique localizability in cooperative localization of wireless sensor networks: rigidity index and redundancy index
13 pages, 7 figures, to be submitted for possible journal publication
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rigidity theory enables us to specify the conditions of unique localizability in the cooperative localization problem of wireless sensor networks. This paper presents a combinatorial rigidity approach to measure (i) generic rigidity and (ii) generalized redundant rigidity properties of graph structures through graph ...
[ { "created": "Thu, 5 Feb 2015 20:06:47 GMT", "version": "v1" } ]
2015-02-06
[ [ "Eren", "Tolga", "" ] ]
Rigidity theory enables us to specify the conditions of unique localizability in the cooperative localization problem of wireless sensor networks. This paper presents a combinatorial rigidity approach to measure (i) generic rigidity and (ii) generalized redundant rigidity properties of graph structures through graph in...
2110.11001
Philipp Terh\"orst
Philipp Terh\"orst, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran Raja, Arjan Kuijper
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
An essential factor to achieve high performance in face recognition systems is the quality of its samples. Since these systems are involved in daily life there is a strong need of making face recognition processes understandable for humans. In this work, we introduce the concept of pixel-level face image quality that...
[ { "created": "Thu, 21 Oct 2021 09:12:17 GMT", "version": "v1" }, { "created": "Fri, 5 Nov 2021 12:20:28 GMT", "version": "v2" }, { "created": "Tue, 30 Nov 2021 09:37:14 GMT", "version": "v3" } ]
2021-12-01
[ [ "Terhörst", "Philipp", "" ], [ "Huber", "Marco", "" ], [ "Damer", "Naser", "" ], [ "Kirchbuchner", "Florian", "" ], [ "Raja", "Kiran", "" ], [ "Kuijper", "Arjan", "" ] ]
An essential factor to achieve high performance in face recognition systems is the quality of its samples. Since these systems are involved in daily life there is a strong need of making face recognition processes understandable for humans. In this work, we introduce the concept of pixel-level face image quality that d...
2005.04048
Lars Hertel
Lars Hertel, Julian Collado, Peter Sadowski, Jordan Ott, Pierre Baldi
Sherpa: Robust Hyperparameter Optimization for Machine Learning
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sherpa is a hyperparameter optimization library for machine learning models. It is specifically designed for problems with computationally expensive, iterative function evaluations, such as the hyperparameter tuning of deep neural networks. With Sherpa, scientists can quickly optimize hyperparameters using a variety ...
[ { "created": "Fri, 8 May 2020 13:52:49 GMT", "version": "v1" } ]
2020-05-11
[ [ "Hertel", "Lars", "" ], [ "Collado", "Julian", "" ], [ "Sadowski", "Peter", "" ], [ "Ott", "Jordan", "" ], [ "Baldi", "Pierre", "" ] ]
Sherpa is a hyperparameter optimization library for machine learning models. It is specifically designed for problems with computationally expensive, iterative function evaluations, such as the hyperparameter tuning of deep neural networks. With Sherpa, scientists can quickly optimize hyperparameters using a variety of...
2310.02069
Khaish Chadha
Khaish Singh Chadha, Prabhat Kumar
TOaCNN: Adaptive Convolutional Neural Network for Multidisciplinary Topology Optimization
Accepted in 6th NCMDAO 2023
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an adaptive convolutional neural network (CNN) architecture that can automate diverse topology optimization (TO) problems having different underlying physics. The architecture uses the encoder-decoder networks with dense layers in the middle which includes an additional adaptive layer to capture c...
[ { "created": "Tue, 3 Oct 2023 14:12:36 GMT", "version": "v1" } ]
2023-10-04
[ [ "Chadha", "Khaish Singh", "" ], [ "Kumar", "Prabhat", "" ] ]
This paper presents an adaptive convolutional neural network (CNN) architecture that can automate diverse topology optimization (TO) problems having different underlying physics. The architecture uses the encoder-decoder networks with dense layers in the middle which includes an additional adaptive layer to capture com...
1608.07916
Bo Li
Bo Li, Tianlei Zhang, Tian Xia
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
Robotics: Science and Systems, 2016
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Convolutional network techniques have recently achieved great success in vision based detection tasks. This paper introduces the recent development of our research on transplanting the fully convolutional network technique to the detection tasks on 3D range scan data. Specifically, the scenario is set as the vehicle ...
[ { "created": "Mon, 29 Aug 2016 05:57:36 GMT", "version": "v1" } ]
2016-08-30
[ [ "Li", "Bo", "" ], [ "Zhang", "Tianlei", "" ], [ "Xia", "Tian", "" ] ]
Convolutional network techniques have recently achieved great success in vision based detection tasks. This paper introduces the recent development of our research on transplanting the fully convolutional network technique to the detection tasks on 3D range scan data. Specifically, the scenario is set as the vehicle de...
2407.01796
Sirui Xia
Sirui Xia, Xintao Wang, Jiaqing Liang, Yifei Zhang, Weikang Zhou, Jiaji Deng, Fei Yu, Yanghua Xiao
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
15 pages,2 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Retrieval-Augmented Generation (RAG) has been widely adopted to enhance Large Language Models (LLMs) in knowledge-intensive tasks. Recently, Attributed Text Generation (ATG) has attracted growing attention, which provides citations to support the model's responses in RAG, so as to enhance the credibility of LLM-gener...
[ { "created": "Mon, 1 Jul 2024 20:47:47 GMT", "version": "v1" } ]
2024-07-03
[ [ "Xia", "Sirui", "" ], [ "Wang", "Xintao", "" ], [ "Liang", "Jiaqing", "" ], [ "Zhang", "Yifei", "" ], [ "Zhou", "Weikang", "" ], [ "Deng", "Jiaji", "" ], [ "Yu", "Fei", "" ], [ "Xiao", "Yanghua"...
Retrieval-Augmented Generation (RAG) has been widely adopted to enhance Large Language Models (LLMs) in knowledge-intensive tasks. Recently, Attributed Text Generation (ATG) has attracted growing attention, which provides citations to support the model's responses in RAG, so as to enhance the credibility of LLM-generat...
1701.06106
Sahil Garg
Sahil Garg, Irina Rish, Guillermo Cecchi, Aurelie Lozano
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
null
null
null
null
cs.LG cs.AI cs.CV cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we focus on online representation learning in non-stationary environments which may require continuous adaptation of model architecture. We propose a novel online dictionary-learning (sparse-coding) framework which incorporates the addition and deletion of hidden units (dictionary elements), and is ins...
[ { "created": "Sun, 22 Jan 2017 00:35:24 GMT", "version": "v1" }, { "created": "Sun, 19 Feb 2017 08:15:55 GMT", "version": "v2" } ]
2018-02-07
[ [ "Garg", "Sahil", "" ], [ "Rish", "Irina", "" ], [ "Cecchi", "Guillermo", "" ], [ "Lozano", "Aurelie", "" ] ]
In this paper, we focus on online representation learning in non-stationary environments which may require continuous adaptation of model architecture. We propose a novel online dictionary-learning (sparse-coding) framework which incorporates the addition and deletion of hidden units (dictionary elements), and is inspi...
2403.12154
Mariam Hassan
Mariam Hassan, Florent Forest, Olga Fink and Malcolm Mielle
ThermoNeRF: Multimodal Neural Radiance Fields for Thermal Novel View Synthesis
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Thermal scene reconstruction exhibit great potential for applications across a broad spectrum of fields, including building energy consumption analysis and non-destructive testing. However, existing methods typically require dense scene measurements and often rely on RGB images for 3D geometry reconstruction, with th...
[ { "created": "Mon, 18 Mar 2024 18:10:34 GMT", "version": "v1" } ]
2024-03-20
[ [ "Hassan", "Mariam", "" ], [ "Forest", "Florent", "" ], [ "Fink", "Olga", "" ], [ "Mielle", "Malcolm", "" ] ]
Thermal scene reconstruction exhibit great potential for applications across a broad spectrum of fields, including building energy consumption analysis and non-destructive testing. However, existing methods typically require dense scene measurements and often rely on RGB images for 3D geometry reconstruction, with ther...
1409.6626
Bernhard Rumpe
Hans Gr\"onninger, Jochen Hartmann, Holger Krahn, Stefan Kriebel, Bernhard Rumpe
View-Based Modeling of Function Nets
6 pages, 4 figures
Proceedings of the Object-oriented Modelling of Embedded Real-Time Systems (OMER4) Workshop, Paderborn, October 2007
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an approach to model features and function nets of automotive systems comprehensively. In order to bridge the gap between feature requirements and function nets, we describe an approach to describe both using a SysML-based notation. If requirements on the automotive system are changed by several d...
[ { "created": "Mon, 22 Sep 2014 12:36:48 GMT", "version": "v1" } ]
2014-09-24
[ [ "Grönninger", "Hans", "" ], [ "Hartmann", "Jochen", "" ], [ "Krahn", "Holger", "" ], [ "Kriebel", "Stefan", "" ], [ "Rumpe", "Bernhard", "" ] ]
This paper presents an approach to model features and function nets of automotive systems comprehensively. In order to bridge the gap between feature requirements and function nets, we describe an approach to describe both using a SysML-based notation. If requirements on the automotive system are changed by several dev...