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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2405.10947 | Dinh Tuan Nguyen | Tuan Nguyen, Max Mehltretter, Franz Rottensteiner | Depth-aware Panoptic Segmentation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Panoptic segmentation unifies semantic and instance segmentation and thus
delivers a semantic class label and, for so-called thing classes, also an
instance label per pixel. The differentiation of distinct objects of the same
class with a similar appearance is particularly challenging and frequently
causes such objec... | [
{
"created": "Thu, 21 Mar 2024 08:06:49 GMT",
"version": "v1"
}
] | 2024-05-21 | [
[
"Nguyen",
"Tuan",
""
],
[
"Mehltretter",
"Max",
""
],
[
"Rottensteiner",
"Franz",
""
]
] | Panoptic segmentation unifies semantic and instance segmentation and thus delivers a semantic class label and, for so-called thing classes, also an instance label per pixel. The differentiation of distinct objects of the same class with a similar appearance is particularly challenging and frequently causes such objects... |
2306.00016 | Shadi Haj Yahia | Shadi Haj-Yahia, Omar Mansour, Tomer Toledo | Incorporating Domain Knowledge in Deep Neural Networks for Discrete
Choice Models | null | null | null | null | cs.LG cs.AI econ.EM | http://creativecommons.org/licenses/by/4.0/ | Discrete choice models (DCM) are widely employed in travel demand analysis as
a powerful theoretical econometric framework for understanding and predicting
choice behaviors. DCMs are formed as random utility models (RUM), with their
key advantage of interpretability. However, a core requirement for the
estimation of ... | [
{
"created": "Tue, 30 May 2023 12:53:55 GMT",
"version": "v1"
}
] | 2023-06-02 | [
[
"Haj-Yahia",
"Shadi",
""
],
[
"Mansour",
"Omar",
""
],
[
"Toledo",
"Tomer",
""
]
] | Discrete choice models (DCM) are widely employed in travel demand analysis as a powerful theoretical econometric framework for understanding and predicting choice behaviors. DCMs are formed as random utility models (RUM), with their key advantage of interpretability. However, a core requirement for the estimation of th... |
1209.1406 | Patrick Conrad | Patrick R. Conrad and Youssef M. Marzouk | Adaptive Smolyak Pseudospectral Approximations | null | null | null | null | cs.NA math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Polynomial approximations of computationally intensive models are central to
uncertainty quantification. This paper describes an adaptive method for
non-intrusive pseudospectral approximation, based on Smolyak's algorithm with
generalized sparse grids. We rigorously analyze and extend the non-adaptive
method proposed... | [
{
"created": "Thu, 6 Sep 2012 20:35:21 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Jun 2013 20:50:25 GMT",
"version": "v2"
}
] | 2013-06-27 | [
[
"Conrad",
"Patrick R.",
""
],
[
"Marzouk",
"Youssef M.",
""
]
] | Polynomial approximations of computationally intensive models are central to uncertainty quantification. This paper describes an adaptive method for non-intrusive pseudospectral approximation, based on Smolyak's algorithm with generalized sparse grids. We rigorously analyze and extend the non-adaptive method proposed i... |
2006.09090 | Walter Morales-Alvarez | Walter Morales Alvarez, Miguel \'Angel de Miguel, Fernando Garc\'ia,
Cristina Olaverri-Monreal | Response of Vulnerable Road Users to Visual Information from Autonomous
Vehicles in Shared Spaces | Published paper in the IEEE Intelligent Transportation Systems
Conference - ITSC 2019 | 2019 IEEE Intelligent Transportation Systems Conference (ITSC),
Auckland, New Zealand, 2019, pp. 3714-3719 | 10.1109/ITSC.2019.8917501 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Completely unmanned autonomous vehicles have been anticipated for a while.
Initially, these are expected to drive only under certain conditions on some
roads, and advanced functionality is required to cope with the ever-increasing
challenges of safety. To enhance the public's perception of road safety and
trust in ne... | [
{
"created": "Tue, 16 Jun 2020 11:54:16 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Jun 2020 10:07:33 GMT",
"version": "v2"
},
{
"created": "Wed, 22 Jul 2020 09:48:54 GMT",
"version": "v3"
}
] | 2020-07-23 | [
[
"Alvarez",
"Walter Morales",
""
],
[
"de Miguel",
"Miguel Ángel",
""
],
[
"García",
"Fernando",
""
],
[
"Olaverri-Monreal",
"Cristina",
""
]
] | Completely unmanned autonomous vehicles have been anticipated for a while. Initially, these are expected to drive only under certain conditions on some roads, and advanced functionality is required to cope with the ever-increasing challenges of safety. To enhance the public's perception of road safety and trust in new ... |
2111.07684 | Bo Lyu | Bo Lyu, Shengbo Wang, Shiping Wen, Kaibo Shi, Yin Yang, Lingfang Zeng
and Tingwen Huang | AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive
Crossbars | This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessible | null | 10.1109/TNNLS.2023.3265383 | null | cs.LG cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The sparse representation of graphs has shown great potential for
accelerating the computation of graph applications (e.g., Social Networks,
Knowledge Graphs) on traditional computing architectures (CPU, GPU, or TPU).
But the exploration of large-scale sparse graph computing on
processing-in-memory (PIM) platforms (t... | [
{
"created": "Mon, 15 Nov 2021 11:37:47 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Dec 2022 09:15:00 GMT",
"version": "v2"
},
{
"created": "Fri, 3 Mar 2023 04:49:16 GMT",
"version": "v3"
}
] | 2023-06-28 | [
[
"Lyu",
"Bo",
""
],
[
"Wang",
"Shengbo",
""
],
[
"Wen",
"Shiping",
""
],
[
"Shi",
"Kaibo",
""
],
[
"Yang",
"Yin",
""
],
[
"Zeng",
"Lingfang",
""
],
[
"Huang",
"Tingwen",
""
]
] | The sparse representation of graphs has shown great potential for accelerating the computation of graph applications (e.g., Social Networks, Knowledge Graphs) on traditional computing architectures (CPU, GPU, or TPU). But the exploration of large-scale sparse graph computing on processing-in-memory (PIM) platforms (typ... |
2209.01638 | Holy Lovenia | Holy Lovenia, Bryan Wilie, Romain Barraud, Samuel Cahyawijaya, Willy
Chung, Pascale Fung | Every picture tells a story: Image-grounded controllable stylistic story
generation | Accepted in LaTeCH-CLfL 2022 (6th Joint SIGHUM Workshop on
Computational Linguistics for Cultural Heritage, Social Sciences, Humanities
and Literature), COLING 2022 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Generating a short story out of an image is arduous. Unlike image captioning,
story generation from an image poses multiple challenges: preserving the story
coherence, appropriately assessing the quality of the story, steering the
generated story into a certain style, and addressing the scarcity of
image-story pair r... | [
{
"created": "Sun, 4 Sep 2022 15:07:53 GMT",
"version": "v1"
},
{
"created": "Sun, 11 Sep 2022 06:08:45 GMT",
"version": "v2"
}
] | 2022-09-13 | [
[
"Lovenia",
"Holy",
""
],
[
"Wilie",
"Bryan",
""
],
[
"Barraud",
"Romain",
""
],
[
"Cahyawijaya",
"Samuel",
""
],
[
"Chung",
"Willy",
""
],
[
"Fung",
"Pascale",
""
]
] | Generating a short story out of an image is arduous. Unlike image captioning, story generation from an image poses multiple challenges: preserving the story coherence, appropriately assessing the quality of the story, steering the generated story into a certain style, and addressing the scarcity of image-story pair ref... |
1206.4952 | Nesreen Ahmed | Nesreen K. Ahmed, Jennifer Neville, Ramana Kompella | Space-Efficient Sampling from Social Activity Streams | BigMine 2012 | null | null | null | cs.SI cs.DB physics.soc-ph stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to efficiently study the characteristics of network domains and
support development of network systems (e.g. algorithms, protocols that operate
on networks), it is often necessary to sample a representative subgraph from a
large complex network. Although recent subgraph sampling methods have been
shown to wo... | [
{
"created": "Wed, 20 Jun 2012 04:55:20 GMT",
"version": "v1"
}
] | 2012-06-22 | [
[
"Ahmed",
"Nesreen K.",
""
],
[
"Neville",
"Jennifer",
""
],
[
"Kompella",
"Ramana",
""
]
] | In order to efficiently study the characteristics of network domains and support development of network systems (e.g. algorithms, protocols that operate on networks), it is often necessary to sample a representative subgraph from a large complex network. Although recent subgraph sampling methods have been shown to work... |
2101.08122 | Devis Tuia | Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia | Self-supervised pre-training enhances change detection in Sentinel-2
imagery | Presented at the Pattern Recognition and Remote Sensing (PRRS)
workshop in ICPR, 2021 | Part of the Lecture Notes in Computer Science book series (LNCS,
volume 12667), 2021 | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | While annotated images for change detection using satellite imagery are
scarce and costly to obtain, there is a wealth of unlabeled images being
generated every day. In order to leverage these data to learn an image
representation more adequate for change detection, we explore methods that
exploit the temporal consis... | [
{
"created": "Wed, 20 Jan 2021 13:47:25 GMT",
"version": "v1"
},
{
"created": "Sun, 11 Apr 2021 20:43:10 GMT",
"version": "v2"
}
] | 2021-04-13 | [
[
"Leenstra",
"Marrit",
""
],
[
"Marcos",
"Diego",
""
],
[
"Bovolo",
"Francesca",
""
],
[
"Tuia",
"Devis",
""
]
] | While annotated images for change detection using satellite imagery are scarce and costly to obtain, there is a wealth of unlabeled images being generated every day. In order to leverage these data to learn an image representation more adequate for change detection, we explore methods that exploit the temporal consiste... |
2011.05704 | Ragav Sachdeva | Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid,
Gustavo Carneiro | EvidentialMix: Learning with Combined Open-set and Closed-set Noisy
Labels | Paper accepted at WACV'21: Winter Conference on Applications of
Computer Vision | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The efficacy of deep learning depends on large-scale data sets that have been
carefully curated with reliable data acquisition and annotation processes.
However, acquiring such large-scale data sets with precise annotations is very
expensive and time-consuming, and the cheap alternatives often yield data sets
that ha... | [
{
"created": "Wed, 11 Nov 2020 11:15:32 GMT",
"version": "v1"
}
] | 2020-11-12 | [
[
"Sachdeva",
"Ragav",
""
],
[
"Cordeiro",
"Filipe R.",
""
],
[
"Belagiannis",
"Vasileios",
""
],
[
"Reid",
"Ian",
""
],
[
"Carneiro",
"Gustavo",
""
]
] | The efficacy of deep learning depends on large-scale data sets that have been carefully curated with reliable data acquisition and annotation processes. However, acquiring such large-scale data sets with precise annotations is very expensive and time-consuming, and the cheap alternatives often yield data sets that have... |
2108.12229 | Iftitahu Ni'mah | Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy | ProtoInfoMax: Prototypical Networks with Mutual Information Maximization
for Out-of-Domain Detection | This manuscript will be available in ACL Anthology section
EMNLP2021-Findings papers | Findings of the Association for Computational Linguistics: EMNLP
2021 | 10.18653/v1/2021.findings-emnlp.138 | 2021.findings-emnlp.138 | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The ability to detect Out-of-Domain (OOD) inputs has been a critical
requirement in many real-world NLP applications. For example, intent
classification in dialogue systems. The reason is that the inclusion of
unsupported OOD inputs may lead to catastrophic failure of systems. However, it
remains an empirical questio... | [
{
"created": "Fri, 27 Aug 2021 11:55:34 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Aug 2021 12:24:27 GMT",
"version": "v2"
},
{
"created": "Fri, 3 Sep 2021 08:38:03 GMT",
"version": "v3"
},
{
"created": "Wed, 8 Sep 2021 07:53:33 GMT",
"version": "v4"
},
{
"cre... | 2022-01-20 | [
[
"Ni'mah",
"Iftitahu",
""
],
[
"Fang",
"Meng",
""
],
[
"Menkovski",
"Vlado",
""
],
[
"Pechenizkiy",
"Mykola",
""
]
] | The ability to detect Out-of-Domain (OOD) inputs has been a critical requirement in many real-world NLP applications. For example, intent classification in dialogue systems. The reason is that the inclusion of unsupported OOD inputs may lead to catastrophic failure of systems. However, it remains an empirical question ... |
2104.03453 | Chidera Biringa | Chidera Biringa, Gokhan Kul | Automated User Experience Testing through Multi-Dimensional Performance
Impact Analysis | 4 pages, 2 figures, Proceedings of the ACM/IEEE 2nd International
Conference on Automation of Software Test | null | null | null | cs.SE cs.LG | http://creativecommons.org/licenses/by/4.0/ | Although there are many automated software testing suites, they usually focus
on unit, system, and interface testing. However, especially software updates
such as new security features have the potential to diminish user experience.
In this paper, we propose a novel automated user experience testing methodology
that ... | [
{
"created": "Thu, 8 Apr 2021 01:18:01 GMT",
"version": "v1"
}
] | 2021-04-09 | [
[
"Biringa",
"Chidera",
""
],
[
"Kul",
"Gokhan",
""
]
] | Although there are many automated software testing suites, they usually focus on unit, system, and interface testing. However, especially software updates such as new security features have the potential to diminish user experience. In this paper, we propose a novel automated user experience testing methodology that le... |
1803.07274 | Rajen Chatterjee | Matteo Negri, Marco Turchi, Rajen Chatterjee, Nicola Bertoldi | eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing | Accepted at LREC 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training models for the automatic correction of machine-translated text
usually relies on data consisting of (source, MT, human post- edit) triplets
providing, for each source sentence, examples of translation errors with the
corresponding corrections made by a human post-editor. Ideally, a large amount
of data of th... | [
{
"created": "Tue, 20 Mar 2018 06:59:27 GMT",
"version": "v1"
}
] | 2018-03-21 | [
[
"Negri",
"Matteo",
""
],
[
"Turchi",
"Marco",
""
],
[
"Chatterjee",
"Rajen",
""
],
[
"Bertoldi",
"Nicola",
""
]
] | Training models for the automatic correction of machine-translated text usually relies on data consisting of (source, MT, human post- edit) triplets providing, for each source sentence, examples of translation errors with the corresponding corrections made by a human post-editor. Ideally, a large amount of data of this... |
2404.02530 | Jordan Vice | Jordan Vice, Naveed Akhtar, Richard Hartley, and Ajmal Mian | Severity Controlled Text-to-Image Generative Model Bias Manipulation | This research was supported by National Intelligence and Security
Discovery Research Grants (project# NS220100007), funded by the Department of
Defence Australia | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Text-to-image (T2I) generative models are gaining wide popularity, especially
in public domains. However, their intrinsic bias and potential malicious
manipulations remain under-explored. Charting the susceptibility of T2I models
to such manipulation, we first expose the new possibility of a dynamic and
computational... | [
{
"created": "Wed, 3 Apr 2024 07:33:30 GMT",
"version": "v1"
}
] | 2024-04-04 | [
[
"Vice",
"Jordan",
""
],
[
"Akhtar",
"Naveed",
""
],
[
"Hartley",
"Richard",
""
],
[
"Mian",
"Ajmal",
""
]
] | Text-to-image (T2I) generative models are gaining wide popularity, especially in public domains. However, their intrinsic bias and potential malicious manipulations remain under-explored. Charting the susceptibility of T2I models to such manipulation, we first expose the new possibility of a dynamic and computationally... |
1808.02254 | Sara Kardani Moghaddam | Sara Kardani-Moghaddam, Rajkumar Buyya, and Kotagiri Ramamohanarao | Performance-Aware Management of Cloud Resources: A Taxonomy and Future
Directions | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dynamic nature of the cloud environment has made distributed resource
management process a challenge for cloud service providers. The importance of
maintaining the quality of service in accordance with customer expectations as
well as the highly dynamic nature of cloud-hosted applications add new levels
of complexity... | [
{
"created": "Tue, 7 Aug 2018 08:27:02 GMT",
"version": "v1"
}
] | 2018-08-08 | [
[
"Kardani-Moghaddam",
"Sara",
""
],
[
"Buyya",
"Rajkumar",
""
],
[
"Ramamohanarao",
"Kotagiri",
""
]
] | Dynamic nature of the cloud environment has made distributed resource management process a challenge for cloud service providers. The importance of maintaining the quality of service in accordance with customer expectations as well as the highly dynamic nature of cloud-hosted applications add new levels of complexity t... |
1409.2232 | Jim Jing-Yan Wang | Jim Jing-Yan Wang, Xuefeng Cui, Ge Yu, Lili Guo, Xin Gao | When coding meets ranking: A joint framework based on local learning | null | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sparse coding, which represents a data point as a sparse reconstruction code
with regard to a dictionary, has been a popular data representation method.
Meanwhile, in database retrieval problems, learning the ranking scores from
data points plays an important role. Up to now, these two problems have always
been consi... | [
{
"created": "Mon, 8 Sep 2014 08:10:37 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Nov 2016 07:33:51 GMT",
"version": "v2"
}
] | 2016-11-03 | [
[
"Wang",
"Jim Jing-Yan",
""
],
[
"Cui",
"Xuefeng",
""
],
[
"Yu",
"Ge",
""
],
[
"Guo",
"Lili",
""
],
[
"Gao",
"Xin",
""
]
] | Sparse coding, which represents a data point as a sparse reconstruction code with regard to a dictionary, has been a popular data representation method. Meanwhile, in database retrieval problems, learning the ranking scores from data points plays an important role. Up to now, these two problems have always been conside... |
2310.00616 | Yijiang Li | Yijiang Li, Ying Gao and Haohan Wang | Understanding Adversarial Transferability in Federated Learning | 10 pages of the main paper. 21 pages in total | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the robustness and security issues from a novel and practical
setting: a group of malicious clients has impacted the model during training by
disguising their identities and acting as benign clients, and only revealing
their adversary position after the training to conduct transferable adversarial
atta... | [
{
"created": "Sun, 1 Oct 2023 08:35:46 GMT",
"version": "v1"
}
] | 2023-10-03 | [
[
"Li",
"Yijiang",
""
],
[
"Gao",
"Ying",
""
],
[
"Wang",
"Haohan",
""
]
] | We investigate the robustness and security issues from a novel and practical setting: a group of malicious clients has impacted the model during training by disguising their identities and acting as benign clients, and only revealing their adversary position after the training to conduct transferable adversarial attack... |
2405.16376 | Chuanhao Li | Chuanhao Li, Runhan Yang, Tiankai Li, Milad Bafarassat, Kourosh
Sharifi, Dirk Bergemann, and Zhuoran Yang | STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and
Interactive Decision-Making | 39 pages, 4 figures | null | null | null | cs.CL cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large Language Models (LLMs) like GPT-4 have revolutionized natural language
processing, showing remarkable linguistic proficiency and reasoning
capabilities. However, their application in strategic multi-agent
decision-making environments is hampered by significant limitations including
poor mathematical reasoning, ... | [
{
"created": "Sat, 25 May 2024 23:25:10 GMT",
"version": "v1"
},
{
"created": "Tue, 28 May 2024 01:21:19 GMT",
"version": "v2"
}
] | 2024-05-29 | [
[
"Li",
"Chuanhao",
""
],
[
"Yang",
"Runhan",
""
],
[
"Li",
"Tiankai",
""
],
[
"Bafarassat",
"Milad",
""
],
[
"Sharifi",
"Kourosh",
""
],
[
"Bergemann",
"Dirk",
""
],
[
"Yang",
"Zhuoran",
""
]
] | Large Language Models (LLMs) like GPT-4 have revolutionized natural language processing, showing remarkable linguistic proficiency and reasoning capabilities. However, their application in strategic multi-agent decision-making environments is hampered by significant limitations including poor mathematical reasoning, di... |
cs/9809114 | Heribert Vollmer | Clemens Lautemann and Pierre McKenzie and Thomas Schwentick and
Heribert Vollmer | The descriptive complexity approach to LOGCFL | 10 pages, 1 figure | null | null | null | cs.CC | null | Building upon the known generalized-quantifier-based first-order
characterization of LOGCFL, we lay the groundwork for a deeper investigation.
Specifically, we examine subclasses of LOGCFL arising from varying the arity
and nesting of groupoidal quantifiers. Our work extends the elaborate theory
relating monoidal qua... | [
{
"created": "Mon, 28 Sep 1998 07:57:32 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Lautemann",
"Clemens",
""
],
[
"McKenzie",
"Pierre",
""
],
[
"Schwentick",
"Thomas",
""
],
[
"Vollmer",
"Heribert",
""
]
] | Building upon the known generalized-quantifier-based first-order characterization of LOGCFL, we lay the groundwork for a deeper investigation. Specifically, we examine subclasses of LOGCFL arising from varying the arity and nesting of groupoidal quantifiers. Our work extends the elaborate theory relating monoidal quant... |
2008.07284 | Eiji Uchibe | Eiji Uchibe and Kenji Doya | Forward and inverse reinforcement learning sharing network weights and
hyperparameters | Accepted for publication in the Neural Networks | Neural Networks, December 2021, Pages 138-153 | 10.1016/j.neunet.2021.08.017 | null | cs.LG cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes model-free imitation learning named Entropy-Regularized
Imitation Learning (ERIL) that minimizes the reverse Kullback-Leibler (KL)
divergence. ERIL combines forward and inverse reinforcement learning (RL) under
the framework of an entropy-regularized Markov decision process. An inverse RL
step com... | [
{
"created": "Mon, 17 Aug 2020 13:12:44 GMT",
"version": "v1"
},
{
"created": "Tue, 31 May 2022 11:07:58 GMT",
"version": "v2"
}
] | 2022-06-01 | [
[
"Uchibe",
"Eiji",
""
],
[
"Doya",
"Kenji",
""
]
] | This paper proposes model-free imitation learning named Entropy-Regularized Imitation Learning (ERIL) that minimizes the reverse Kullback-Leibler (KL) divergence. ERIL combines forward and inverse reinforcement learning (RL) under the framework of an entropy-regularized Markov decision process. An inverse RL step compu... |
1703.03305 | Umut G\"u\c{c}l\"u | Umut G\"u\c{c}l\"u, Ya\u{g}mur G\"u\c{c}l\"ut\"urk, Meysam Madadi,
Sergio Escalera, Xavier Bar\'o, Jordi Gonz\'alez, Rob van Lier, Marcel A. J.
van Gerven | End-to-end semantic face segmentation with conditional random fields as
convolutional, recurrent and adversarial networks | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent years have seen a sharp increase in the number of related yet distinct
advances in semantic segmentation. Here, we tackle this problem by leveraging
the respective strengths of these advances. That is, we formulate a conditional
random field over a four-connected graph as end-to-end trainable convolutional
and... | [
{
"created": "Thu, 9 Mar 2017 15:48:22 GMT",
"version": "v1"
}
] | 2017-03-10 | [
[
"Güçlü",
"Umut",
""
],
[
"Güçlütürk",
"Yağmur",
""
],
[
"Madadi",
"Meysam",
""
],
[
"Escalera",
"Sergio",
""
],
[
"Baró",
"Xavier",
""
],
[
"González",
"Jordi",
""
],
[
"van Lier",
"Rob",
""
],
[
"v... | Recent years have seen a sharp increase in the number of related yet distinct advances in semantic segmentation. Here, we tackle this problem by leveraging the respective strengths of these advances. That is, we formulate a conditional random field over a four-connected graph as end-to-end trainable convolutional and r... |
2011.02601 | Valentin Buchhold | Valentin Buchhold, Peter Sanders, Dorothea Wagner | Fast, Exact and Scalable Dynamic Ridesharing | Previous version augmented in several ways | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of servicing a set of ride requests by dispatching a set
of shared vehicles, which is faced by ridesharing companies such as Uber and
Lyft. Solving this problem at a large scale might be crucial in the future for
effectively using large fleets of autonomous vehicles. Since finding a solution
for ... | [
{
"created": "Thu, 5 Nov 2020 01:20:51 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Jun 2021 22:00:39 GMT",
"version": "v2"
}
] | 2021-06-21 | [
[
"Buchhold",
"Valentin",
""
],
[
"Sanders",
"Peter",
""
],
[
"Wagner",
"Dorothea",
""
]
] | We study the problem of servicing a set of ride requests by dispatching a set of shared vehicles, which is faced by ridesharing companies such as Uber and Lyft. Solving this problem at a large scale might be crucial in the future for effectively using large fleets of autonomous vehicles. Since finding a solution for th... |
2403.11570 | Yuhe Liu | Yuhe Liu, Mengxue Kang, Zengchang Qin, Xiangxiang Chu | LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense
Knowledge | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large text-to-image models have achieved astonishing performance in
synthesizing diverse and high-quality images guided by texts. With
detail-oriented conditioning control, even finer-grained spatial control can be
achieved. However, some generated images still appear unreasonable, even with
plentiful object features... | [
{
"created": "Mon, 18 Mar 2024 08:43:42 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Liu",
"Yuhe",
""
],
[
"Kang",
"Mengxue",
""
],
[
"Qin",
"Zengchang",
""
],
[
"Chu",
"Xiangxiang",
""
]
] | Large text-to-image models have achieved astonishing performance in synthesizing diverse and high-quality images guided by texts. With detail-oriented conditioning control, even finer-grained spatial control can be achieved. However, some generated images still appear unreasonable, even with plentiful object features a... |
1604.08382 | Frederik Ruelens | Bert J. Claessens and Peter Vrancx and Frederik Ruelens | Convolutional Neural Networks For Automatic State-Time Feature
Extraction in Reinforcement Learning Applied to Residential Load Control | Submitted to Transactions on Smart Grid | null | null | null | cs.LG cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Direct load control of a heterogeneous cluster of residential demand
flexibility sources is a high-dimensional control problem with partial
observability. This work proposes a novel approach that uses a convolutional
neural network to extract hidden state-time features to mitigate the curse of
partial observability. ... | [
{
"created": "Thu, 28 Apr 2016 11:53:47 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Oct 2016 15:52:42 GMT",
"version": "v2"
}
] | 2016-10-12 | [
[
"Claessens",
"Bert J.",
""
],
[
"Vrancx",
"Peter",
""
],
[
"Ruelens",
"Frederik",
""
]
] | Direct load control of a heterogeneous cluster of residential demand flexibility sources is a high-dimensional control problem with partial observability. This work proposes a novel approach that uses a convolutional neural network to extract hidden state-time features to mitigate the curse of partial observability. Mo... |
2305.16852 | Benjamin Towle | Benjamin Towle and Ke Zhou | Model-Based Simulation for Optimising Smart Reply | This paper has been accepted to appear at ACL 2023 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Smart Reply (SR) systems present a user with a set of replies, of which one
can be selected in place of having to type out a response. To perform well at
this task, a system should be able to effectively present the user with a
diverse set of options, to maximise the chance that at least one of them
conveys the user'... | [
{
"created": "Fri, 26 May 2023 12:04:33 GMT",
"version": "v1"
}
] | 2023-05-29 | [
[
"Towle",
"Benjamin",
""
],
[
"Zhou",
"Ke",
""
]
] | Smart Reply (SR) systems present a user with a set of replies, of which one can be selected in place of having to type out a response. To perform well at this task, a system should be able to effectively present the user with a diverse set of options, to maximise the chance that at least one of them conveys the user's ... |
1310.2001 | Ryo Nomura | Ryo Nomura | Overflow Probability of Variable-length Codes with Codeword Cost | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Lossless variable-length source coding with codeword cost is considered for
general sources. The problem setting, where we impose on unequal costs on code
symbols, is called the variable-length coding with codeword cost. In this
problem, the infimum of average codeword cost have been determined for general
sources. O... | [
{
"created": "Tue, 8 Oct 2013 04:44:51 GMT",
"version": "v1"
}
] | 2013-10-09 | [
[
"Nomura",
"Ryo",
""
]
] | Lossless variable-length source coding with codeword cost is considered for general sources. The problem setting, where we impose on unequal costs on code symbols, is called the variable-length coding with codeword cost. In this problem, the infimum of average codeword cost have been determined for general sources. On ... |
2304.01064 | Chenyang Qi | Chenyang Qi, Xin Yang, Ka Leong Cheng, Ying-Cong Chen, Qifeng Chen | Real-time 6K Image Rescaling with Rate-distortion Optimization | Accepted by CVPR 2023; Github Repository:
https://github.com/AbnerVictor/HyperThumbnail | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Contemporary image rescaling aims at embedding a high-resolution (HR) image
into a low-resolution (LR) thumbnail image that contains embedded information
for HR image reconstruction. Unlike traditional image super-resolution, this
enables high-fidelity HR image restoration faithful to the original one, given
the embe... | [
{
"created": "Mon, 3 Apr 2023 15:21:56 GMT",
"version": "v1"
},
{
"created": "Fri, 19 May 2023 12:34:17 GMT",
"version": "v2"
}
] | 2023-05-22 | [
[
"Qi",
"Chenyang",
""
],
[
"Yang",
"Xin",
""
],
[
"Cheng",
"Ka Leong",
""
],
[
"Chen",
"Ying-Cong",
""
],
[
"Chen",
"Qifeng",
""
]
] | Contemporary image rescaling aims at embedding a high-resolution (HR) image into a low-resolution (LR) thumbnail image that contains embedded information for HR image reconstruction. Unlike traditional image super-resolution, this enables high-fidelity HR image restoration faithful to the original one, given the embedd... |
2305.06572 | Hailiang Zhao | Hailiang Zhao, Shuiguang Deng, Zhengzhe Xiang, Xueqiang Yan, Jianwei
Yin, Schahram Dustdar, Albert Y. Zomaya | Scheduling Multi-Server Jobs with Sublinear Regrets via Online Learning | null | null | null | null | cs.DC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Multi-server jobs that request multiple computing resources and hold onto
them during their execution dominate modern computing clusters. When allocating
the multi-type resources to several co-located multi-server jobs simultaneously
in online settings, it is difficult to make the tradeoff between the parallel
comput... | [
{
"created": "Thu, 11 May 2023 05:17:02 GMT",
"version": "v1"
},
{
"created": "Sat, 5 Aug 2023 09:13:33 GMT",
"version": "v2"
}
] | 2023-08-08 | [
[
"Zhao",
"Hailiang",
""
],
[
"Deng",
"Shuiguang",
""
],
[
"Xiang",
"Zhengzhe",
""
],
[
"Yan",
"Xueqiang",
""
],
[
"Yin",
"Jianwei",
""
],
[
"Dustdar",
"Schahram",
""
],
[
"Zomaya",
"Albert Y.",
""
]
] | Multi-server jobs that request multiple computing resources and hold onto them during their execution dominate modern computing clusters. When allocating the multi-type resources to several co-located multi-server jobs simultaneously in online settings, it is difficult to make the tradeoff between the parallel computat... |
2403.01089 | Nicole Hashemi | Nicholus R. Clinkinbeard, Reza Montazami, Nicole N. Hashemi | Accelerating Hydrodynamic Fabrication of Microstructures using Deep
Neural Networks | null | null | null | null | cs.CE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Manufacturing of microstructures using a microfluidic device is a largely
empirical effort due to the multi-physical nature of the fabrication process.
As such, models are desired that will predict microstructure performance
characteristics (e.g., size, porosity, and stiffness) based on known inputs,
such as sheath a... | [
{
"created": "Sat, 2 Mar 2024 04:17:17 GMT",
"version": "v1"
}
] | 2024-03-05 | [
[
"Clinkinbeard",
"Nicholus R.",
""
],
[
"Montazami",
"Reza",
""
],
[
"Hashemi",
"Nicole N.",
""
]
] | Manufacturing of microstructures using a microfluidic device is a largely empirical effort due to the multi-physical nature of the fabrication process. As such, models are desired that will predict microstructure performance characteristics (e.g., size, porosity, and stiffness) based on known inputs, such as sheath and... |
2011.14816 | Christian Cachin | Ignacio Amores-Sesar, Christian Cachin, Jovana Mi\'ci\'c | Security Analysis of Ripple Consensus | null | null | null | null | cs.DC cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Ripple network is one of the most prominent blockchain platforms and its
native XRP token currently has one of the highest cryptocurrency market
capitalizations. The Ripple consensus protocol powers this network and is
generally considered to a Byzantine fault-tolerant agreement protocol, which
can reach consensu... | [
{
"created": "Mon, 30 Nov 2020 14:11:55 GMT",
"version": "v1"
}
] | 2020-12-01 | [
[
"Amores-Sesar",
"Ignacio",
""
],
[
"Cachin",
"Christian",
""
],
[
"Mićić",
"Jovana",
""
]
] | The Ripple network is one of the most prominent blockchain platforms and its native XRP token currently has one of the highest cryptocurrency market capitalizations. The Ripple consensus protocol powers this network and is generally considered to a Byzantine fault-tolerant agreement protocol, which can reach consensus ... |
2402.10693 | Alexandre Verine | Florian Le Bronnec, Alexandre Verine, Benjamin Negrevergne, Yann
Chevaleyre, Alexandre Allauzen | Exploring Precision and Recall to assess the quality and diversity of
LLMs | 21 pages, 15 figures, ACL 2024 Main | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a novel evaluation framework for Large Language Models (LLMs)
such as \textsc{Llama-2} and \textsc{Mistral}, focusing on importing Precision
and Recall metrics from image generation to text generation. This approach
allows for a nuanced assessment of the quality and diversity of generated text
without th... | [
{
"created": "Fri, 16 Feb 2024 13:53:26 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Feb 2024 10:12:34 GMT",
"version": "v2"
},
{
"created": "Tue, 4 Jun 2024 11:33:27 GMT",
"version": "v3"
}
] | 2024-06-05 | [
[
"Bronnec",
"Florian Le",
""
],
[
"Verine",
"Alexandre",
""
],
[
"Negrevergne",
"Benjamin",
""
],
[
"Chevaleyre",
"Yann",
""
],
[
"Allauzen",
"Alexandre",
""
]
] | We introduce a novel evaluation framework for Large Language Models (LLMs) such as \textsc{Llama-2} and \textsc{Mistral}, focusing on importing Precision and Recall metrics from image generation to text generation. This approach allows for a nuanced assessment of the quality and diversity of generated text without the ... |
1706.08007 | Benjamin Cosman | Benjamin Cosman, Ranjit Jhala | Local Refinement Typing | null | null | null | null | cs.PL | http://creativecommons.org/licenses/by/4.0/ | We introduce the Fusion algorithm for local refinement type inference,
yielding a new SMT-based method for verifying programs with polymorphic data
types and higher-order functions. Fusion is concise as the programmer need only
write signatures for (externally exported) top-level functions and places with
cyclic (rec... | [
{
"created": "Sat, 24 Jun 2017 22:06:23 GMT",
"version": "v1"
}
] | 2017-06-27 | [
[
"Cosman",
"Benjamin",
""
],
[
"Jhala",
"Ranjit",
""
]
] | We introduce the Fusion algorithm for local refinement type inference, yielding a new SMT-based method for verifying programs with polymorphic data types and higher-order functions. Fusion is concise as the programmer need only write signatures for (externally exported) top-level functions and places with cyclic (recur... |
1507.01490 | Michele Borassi | Michele Borassi, Pierluigi Crescenzi, Andrea Marino | Fast and Simple Computation of Top-k Closeness Centralities | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Closeness is an important centrality measure widely used in the analysis of
real-world complex networks. In particular, the problem of selecting the k most
central nodes with respect to this measure has been deeply analyzed in the last
decade. However, even for not very large networks, this problem is
computationally... | [
{
"created": "Mon, 6 Jul 2015 14:58:24 GMT",
"version": "v1"
}
] | 2015-07-07 | [
[
"Borassi",
"Michele",
""
],
[
"Crescenzi",
"Pierluigi",
""
],
[
"Marino",
"Andrea",
""
]
] | Closeness is an important centrality measure widely used in the analysis of real-world complex networks. In particular, the problem of selecting the k most central nodes with respect to this measure has been deeply analyzed in the last decade. However, even for not very large networks, this problem is computationally i... |
2403.09997 | Xiang Dai | Xiang Dai and Sarvnaz Karimi and Nathan O'Callaghan | Identifying Health Risks from Family History: A Survey of Natural
Language Processing Techniques | Under Review | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Electronic health records include information on patients' status and medical
history, which could cover the history of diseases and disorders that could be
hereditary. One important use of family history information is in precision
health, where the goal is to keep the population healthy with preventative
measures. ... | [
{
"created": "Fri, 15 Mar 2024 03:43:07 GMT",
"version": "v1"
}
] | 2024-03-18 | [
[
"Dai",
"Xiang",
""
],
[
"Karimi",
"Sarvnaz",
""
],
[
"O'Callaghan",
"Nathan",
""
]
] | Electronic health records include information on patients' status and medical history, which could cover the history of diseases and disorders that could be hereditary. One important use of family history information is in precision health, where the goal is to keep the population healthy with preventative measures. Na... |
1211.4091 | EPTCS | Margarita Antonaki (University of Cyprus), Anna Philippou (University
of Cyprus) | A Process Calculus for Spatially-explicit Ecological Models | In Proceedings MeCBIC 2012, arXiv:1211.3476 | EPTCS 100, 2012, pp. 14-28 | 10.4204/EPTCS.100.2 | null | cs.LO q-bio.PE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose PALPS, a Process Algebra with Locations for Population Systems.
PALPS allows us to produce spatially-explicit, individual-based models and to
reason about their behavior. Our calculus has two levels: at the first level we
may define the behavior of an individual of a population while, at the second
level, ... | [
{
"created": "Sat, 17 Nov 2012 09:14:41 GMT",
"version": "v1"
}
] | 2012-11-20 | [
[
"Antonaki",
"Margarita",
"",
"University of Cyprus"
],
[
"Philippou",
"Anna",
"",
"University\n of Cyprus"
]
] | We propose PALPS, a Process Algebra with Locations for Population Systems. PALPS allows us to produce spatially-explicit, individual-based models and to reason about their behavior. Our calculus has two levels: at the first level we may define the behavior of an individual of a population while, at the second level, we... |
2112.12790 | Giampaolo Bella | Giampaolo Bella | Out to Explore the Cybersecurity Planet | null | null | 10.1108/JIC-05-2019-0127 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Security ceremonies still fail despite decades of efforts by researchers and
practitioners. Attacks are often a cunning amalgam of exploits for technical
systems and of forms of human behaviour. For example, this is the case with the
recent news headline of a large-scale attack against Electrum Bitcoin wallets,
which... | [
{
"created": "Sat, 18 Dec 2021 11:52:38 GMT",
"version": "v1"
}
] | 2021-12-28 | [
[
"Bella",
"Giampaolo",
""
]
] | Security ceremonies still fail despite decades of efforts by researchers and practitioners. Attacks are often a cunning amalgam of exploits for technical systems and of forms of human behaviour. For example, this is the case with the recent news headline of a large-scale attack against Electrum Bitcoin wallets, which m... |
2112.02657 | Jashanpreet Singh Sraw | Jashanpreet Singh Sraw and Deepak M C | Using Convolutional Neural Networks for fault analysis and alleviation
in accelerator systems | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Today, Neural Networks are the basis of breakthroughs in virtually every
technical domain. Their application to accelerators has recently resulted in
better performance and efficiency in these systems. At the same time, the
increasing hardware failures due to the latest (shrinked) semiconductor
technology needs to be... | [
{
"created": "Sun, 5 Dec 2021 19:18:42 GMT",
"version": "v1"
}
] | 2021-12-07 | [
[
"Sraw",
"Jashanpreet Singh",
""
],
[
"C",
"Deepak M",
""
]
] | Today, Neural Networks are the basis of breakthroughs in virtually every technical domain. Their application to accelerators has recently resulted in better performance and efficiency in these systems. At the same time, the increasing hardware failures due to the latest (shrinked) semiconductor technology needs to be a... |
2403.11034 | Mithun Goutham | Mithun Goutham and Stephanie Stockar | Resilient Fleet Management for Energy-Aware Intra-Factory Logistics | This manuscript was accepted to the 2024 American Control Conference
(ACC) which will be held Wednesday through Friday, July 10-12, 2024 in
Toronto, ON, Canada. arXiv admin note: text overlap with arXiv:2304.11444 | null | null | null | cs.RO cs.MA cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | This paper presents a novel fleet management strategy for battery-powered
robot fleets tasked with intra-factory logistics in an autonomous manufacturing
facility. In this environment, repetitive material handling operations are
subject to real-world uncertainties such as blocked passages, and equipment or
robot malf... | [
{
"created": "Sat, 16 Mar 2024 22:46:12 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Goutham",
"Mithun",
""
],
[
"Stockar",
"Stephanie",
""
]
] | This paper presents a novel fleet management strategy for battery-powered robot fleets tasked with intra-factory logistics in an autonomous manufacturing facility. In this environment, repetitive material handling operations are subject to real-world uncertainties such as blocked passages, and equipment or robot malfun... |
1904.05442 | Florian Zaruba | Florian Zaruba and Luca Benini | The Cost of Application-Class Processing: Energy and Performance
Analysis of a Linux-ready 1.7GHz 64bit RISC-V Core in 22nm FDSOI Technology | 11 pages, submitted to IEEE Transaction on Very Large Scale
Integration (VLSI) Systems | null | 10.1109/TVLSI.2019.2926114 | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The open-source RISC-V ISA is gaining traction, both in industry and
academia. The ISA is designed to scale from micro-controllers to server-class
processors. Furthermore, openness promotes the availability of various
open-source and commercial implementations. Our main contribution in this work
is a thorough power, ... | [
{
"created": "Wed, 10 Apr 2019 21:07:21 GMT",
"version": "v1"
}
] | 2019-11-26 | [
[
"Zaruba",
"Florian",
""
],
[
"Benini",
"Luca",
""
]
] | The open-source RISC-V ISA is gaining traction, both in industry and academia. The ISA is designed to scale from micro-controllers to server-class processors. Furthermore, openness promotes the availability of various open-source and commercial implementations. Our main contribution in this work is a thorough power, pe... |
2408.07146 | Zhiling Chen | Zhiling Chen, Hanning Chen, Mohsen Imani, Ruimin Chen, and Farhad
Imani | Vision Language Model for Interpretable and Fine-grained Detection of
Safety Compliance in Diverse Workplaces | 20 pages, 7 figures | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Workplace accidents due to personal protective equipment (PPE) non-compliance
raise serious safety concerns and lead to legal liabilities, financial
penalties, and reputational damage. While object detection models have shown
the capability to address this issue by identifying safety items, most existing
models, such... | [
{
"created": "Tue, 13 Aug 2024 18:32:06 GMT",
"version": "v1"
}
] | 2024-08-15 | [
[
"Chen",
"Zhiling",
""
],
[
"Chen",
"Hanning",
""
],
[
"Imani",
"Mohsen",
""
],
[
"Chen",
"Ruimin",
""
],
[
"Imani",
"Farhad",
""
]
] | Workplace accidents due to personal protective equipment (PPE) non-compliance raise serious safety concerns and lead to legal liabilities, financial penalties, and reputational damage. While object detection models have shown the capability to address this issue by identifying safety items, most existing models, such a... |
2405.06721 | Ziyao Li | Ziyao Li | Kolmogorov-Arnold Networks are Radial Basis Function Networks | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | This short paper is a fast proof-of-concept that the 3-order B-splines used
in Kolmogorov-Arnold Networks (KANs) can be well approximated by Gaussian
radial basis functions. Doing so leads to FastKAN, a much faster implementation
of KAN which is also a radial basis function (RBF) network.
| [
{
"created": "Fri, 10 May 2024 06:03:45 GMT",
"version": "v1"
}
] | 2024-05-14 | [
[
"Li",
"Ziyao",
""
]
] | This short paper is a fast proof-of-concept that the 3-order B-splines used in Kolmogorov-Arnold Networks (KANs) can be well approximated by Gaussian radial basis functions. Doing so leads to FastKAN, a much faster implementation of KAN which is also a radial basis function (RBF) network. |
2007.11192 | Ping Wang | Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K.
Reddy | Self-Supervised Learning of Contextual Embeddings for Link Prediction in
Heterogeneous Networks | null | Published in The Web Conference 2021 | null | null | cs.LG cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Representation learning methods for heterogeneous networks produce a
low-dimensional vector embedding for each node that is typically fixed for all
tasks involving the node. Many of the existing methods focus on obtaining a
static vector representation for a node in a way that is agnostic to the
downstream applicatio... | [
{
"created": "Wed, 22 Jul 2020 03:48:53 GMT",
"version": "v1"
},
{
"created": "Sun, 23 Aug 2020 03:11:56 GMT",
"version": "v2"
},
{
"created": "Sun, 21 Mar 2021 20:42:38 GMT",
"version": "v3"
}
] | 2021-04-28 | [
[
"Wang",
"Ping",
""
],
[
"Agarwal",
"Khushbu",
""
],
[
"Ham",
"Colby",
""
],
[
"Choudhury",
"Sutanay",
""
],
[
"Reddy",
"Chandan K.",
""
]
] | Representation learning methods for heterogeneous networks produce a low-dimensional vector embedding for each node that is typically fixed for all tasks involving the node. Many of the existing methods focus on obtaining a static vector representation for a node in a way that is agnostic to the downstream application ... |
1306.1822 | Ognjen Arandjelovi\'c PhD | Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague | Illumination-invariant face recognition from a single image across
extreme pose using a dual dimension AAM ensemble in the thermal infrared
spectrum | International Joint Conference on Neural Networks, 2013. arXiv admin
note: substantial text overlap with arXiv:1306.1609 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Over the course of the last decade, infrared (IR) and particularly thermal IR
imaging based face recognition has emerged as a promising complement to
conventional, visible spectrum based approaches which continue to struggle when
applied in practice. While inherently insensitive to visible spectrum
illumination chang... | [
{
"created": "Fri, 7 Jun 2013 04:17:25 GMT",
"version": "v1"
}
] | 2013-06-11 | [
[
"Ghiass",
"Reza Shoja",
""
],
[
"Arandjelovic",
"Ognjen",
""
],
[
"Bendada",
"Hakim",
""
],
[
"Maldague",
"Xavier",
""
]
] | Over the course of the last decade, infrared (IR) and particularly thermal IR imaging based face recognition has emerged as a promising complement to conventional, visible spectrum based approaches which continue to struggle when applied in practice. While inherently insensitive to visible spectrum illumination changes... |
1811.06668 | You Qiaoben | You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun
Zhu | Composite Binary Decomposition Networks | null | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Binary neural networks have great resource and computing efficiency, while
suffer from long training procedure and non-negligible accuracy drops, when
comparing to the full-precision counterparts. In this paper, we propose the
composite binary decomposition networks (CBDNet), which first compose
real-valued tensor of... | [
{
"created": "Fri, 16 Nov 2018 03:29:34 GMT",
"version": "v1"
}
] | 2018-11-19 | [
[
"Qiaoben",
"You",
""
],
[
"Wang",
"Zheng",
""
],
[
"Li",
"Jianguo",
""
],
[
"Dong",
"Yinpeng",
""
],
[
"Jiang",
"Yu-Gang",
""
],
[
"Zhu",
"Jun",
""
]
] | Binary neural networks have great resource and computing efficiency, while suffer from long training procedure and non-negligible accuracy drops, when comparing to the full-precision counterparts. In this paper, we propose the composite binary decomposition networks (CBDNet), which first compose real-valued tensor of e... |
1712.06496 | Huan Li | Yi Qi, Zhongzhi Zhang, Yuhao Yi, Huan Li | Consensus in Self-similar Hierarchical Graphs and Sierpi\'nski Graphs:
Convergence Speed, Delay Robustness, and Coherence | To be published on IEEE Transactions on Cybernetics | null | null | null | cs.SY cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The hierarchical graphs and Sierpi\'nski graphs are constructed iteratively,
which have the same number of vertices and edges at any iteration, but exhibit
quite different structural properties: the hierarchical graphs are non-fractal
and small-world, while the Sierpi\'nski graphs are fractal and "large-world".
Both ... | [
{
"created": "Mon, 18 Dec 2017 16:14:33 GMT",
"version": "v1"
}
] | 2017-12-19 | [
[
"Qi",
"Yi",
""
],
[
"Zhang",
"Zhongzhi",
""
],
[
"Yi",
"Yuhao",
""
],
[
"Li",
"Huan",
""
]
] | The hierarchical graphs and Sierpi\'nski graphs are constructed iteratively, which have the same number of vertices and edges at any iteration, but exhibit quite different structural properties: the hierarchical graphs are non-fractal and small-world, while the Sierpi\'nski graphs are fractal and "large-world". Both gr... |
1905.13196 | Peter Bubenik | Peter Bubenik, Michael Hull, Dhruv Patel, and Benjamin Whittle | Persistent homology detects curvature | 22 pages, corrections thanks to anonymous referees | Inverse Problems, 36, 025008 (2020) | 10.1088/1361-6420/ab4ac0 | null | cs.CG cs.LG math.AT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In topological data analysis, persistent homology is used to study the "shape
of data". Persistent homology computations are completely characterized by a
set of intervals called a bar code. It is often said that the long intervals
represent the "topological signal" and the short intervals represent "noise".
We give ... | [
{
"created": "Thu, 30 May 2019 17:36:58 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Jun 2019 13:49:29 GMT",
"version": "v2"
},
{
"created": "Thu, 19 Sep 2019 16:04:05 GMT",
"version": "v3"
}
] | 2020-04-21 | [
[
"Bubenik",
"Peter",
""
],
[
"Hull",
"Michael",
""
],
[
"Patel",
"Dhruv",
""
],
[
"Whittle",
"Benjamin",
""
]
] | In topological data analysis, persistent homology is used to study the "shape of data". Persistent homology computations are completely characterized by a set of intervals called a bar code. It is often said that the long intervals represent the "topological signal" and the short intervals represent "noise". We give ev... |
2305.15340 | Arnau Quera-Bofarull | Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu, Michael
Wooldridge, Joel Dyer | Bayesian calibration of differentiable agent-based models | Accepted for Oral Presentation at the AI4ABM Workshop at ICLR 2023 | null | null | null | cs.MA cs.AI stat.ML | http://creativecommons.org/licenses/by/4.0/ | Agent-based modelling (ABMing) is a powerful and intuitive approach to
modelling complex systems; however, the intractability of ABMs' likelihood
functions and the non-differentiability of the mathematical operations
comprising these models present a challenge to their use in the real world.
These difficulties have i... | [
{
"created": "Wed, 24 May 2023 16:52:32 GMT",
"version": "v1"
}
] | 2023-05-25 | [
[
"Quera-Bofarull",
"Arnau",
""
],
[
"Chopra",
"Ayush",
""
],
[
"Calinescu",
"Anisoara",
""
],
[
"Wooldridge",
"Michael",
""
],
[
"Dyer",
"Joel",
""
]
] | Agent-based modelling (ABMing) is a powerful and intuitive approach to modelling complex systems; however, the intractability of ABMs' likelihood functions and the non-differentiability of the mathematical operations comprising these models present a challenge to their use in the real world. These difficulties have in ... |
2407.07099 | Ziqi Zhang | Ziqi Zhang, Cunxiang Wang, Xiong Xiao, Yue Zhang, Donglin Wang | Nash CoT: Multi-Path Inference with Preference Equilibrium | null | null | null | null | cs.CL cs.AI cs.GT cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Chain-of-thought (CoT) prompting has emerged as a powerful technique for
enhancing the reasoning capabilities of Large Language Models (LLMs) on complex
problems. Among CoT-related studies, self-consistency (Multi-path inference
with answer filtering through voting) involves generating multiple reasoning
paths using ... | [
{
"created": "Tue, 18 Jun 2024 07:46:13 GMT",
"version": "v1"
}
] | 2024-07-11 | [
[
"Zhang",
"Ziqi",
""
],
[
"Wang",
"Cunxiang",
""
],
[
"Xiao",
"Xiong",
""
],
[
"Zhang",
"Yue",
""
],
[
"Wang",
"Donglin",
""
]
] | Chain-of-thought (CoT) prompting has emerged as a powerful technique for enhancing the reasoning capabilities of Large Language Models (LLMs) on complex problems. Among CoT-related studies, self-consistency (Multi-path inference with answer filtering through voting) involves generating multiple reasoning paths using th... |
2010.08402 | Xiao Liu | Xiao Liu, Jiajie Zhang, Siting Li, Zuotong Wu, Yang Yu | Difference-in-Differences: Bridging Normalization and Disentanglement in
PG-GAN | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | What mechanisms causes GAN's entanglement? Although developing disentangled
GAN has attracted sufficient attention, it is unclear how entanglement is
originated by GAN transformation. We in this research propose a
difference-in-difference (DID) counterfactual framework to design experiments
for analyzing the entangle... | [
{
"created": "Fri, 16 Oct 2020 14:02:53 GMT",
"version": "v1"
}
] | 2020-10-19 | [
[
"Liu",
"Xiao",
""
],
[
"Zhang",
"Jiajie",
""
],
[
"Li",
"Siting",
""
],
[
"Wu",
"Zuotong",
""
],
[
"Yu",
"Yang",
""
]
] | What mechanisms causes GAN's entanglement? Although developing disentangled GAN has attracted sufficient attention, it is unclear how entanglement is originated by GAN transformation. We in this research propose a difference-in-difference (DID) counterfactual framework to design experiments for analyzing the entangleme... |
2312.13316 | Rongsheng Wang | Rongsheng Wang, Qingsong Yao, Haoran Lai, Zhiyang He, Xiaodong Tao,
Zihang Jiang, S.Kevin Zhou | ECAMP: Entity-centered Context-aware Medical Vision Language
Pre-training | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Despite significant advancements in medical vision-language pre-training,
existing methods have largely overlooked the inherent entity-specific context
within radiology reports and the complex cross-modality contextual
relationships between text and images. To close this gap, we propose a novel
Entity-centered Contex... | [
{
"created": "Wed, 20 Dec 2023 11:00:54 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Mar 2024 10:54:03 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Mar 2024 11:01:35 GMT",
"version": "v3"
}
] | 2024-03-20 | [
[
"Wang",
"Rongsheng",
""
],
[
"Yao",
"Qingsong",
""
],
[
"Lai",
"Haoran",
""
],
[
"He",
"Zhiyang",
""
],
[
"Tao",
"Xiaodong",
""
],
[
"Jiang",
"Zihang",
""
],
[
"Zhou",
"S. Kevin",
""
]
] | Despite significant advancements in medical vision-language pre-training, existing methods have largely overlooked the inherent entity-specific context within radiology reports and the complex cross-modality contextual relationships between text and images. To close this gap, we propose a novel Entity-centered Context-... |
2209.06243 | Chrysoula Zerva | Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro, Chrysoula Zerva, Ana
C. Farinha, Christine Maroti, Jos\'e G. C. de Souza, Taisiya Glushkova,
Duarte M. Alves, Alon Lavie, Luisa Coheur, Andr\'e F. T. Martins | CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared
Task | WMT 2022 Quality Estimation shared task | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present the joint contribution of IST and Unbabel to the WMT 2022 Shared
Task on Quality Estimation (QE). Our team participated on all three subtasks:
(i) Sentence and Word-level Quality Prediction; (ii) Explainable QE; and (iii)
Critical Error Detection. For all tasks we build on top of the COMET framework,
conne... | [
{
"created": "Tue, 13 Sep 2022 18:05:12 GMT",
"version": "v1"
}
] | 2022-09-15 | [
[
"Rei",
"Ricardo",
""
],
[
"Treviso",
"Marcos",
""
],
[
"Guerreiro",
"Nuno M.",
""
],
[
"Zerva",
"Chrysoula",
""
],
[
"Farinha",
"Ana C.",
""
],
[
"Maroti",
"Christine",
""
],
[
"de Souza",
"José G. C.",
""
... | We present the joint contribution of IST and Unbabel to the WMT 2022 Shared Task on Quality Estimation (QE). Our team participated on all three subtasks: (i) Sentence and Word-level Quality Prediction; (ii) Explainable QE; and (iii) Critical Error Detection. For all tasks we build on top of the COMET framework, connect... |
2403.01888 | Shuhei Watanabe | Shuhei Watanabe and Neeratyoy Mallik and Edward Bergman and Frank
Hutter | Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on
Zero-Cost Benchmarks | Submitted to AutoML Conference 2024 ABCD Track | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While deep learning has celebrated many successes, its results often hinge on
the meticulous selection of hyperparameters (HPs). However, the time-consuming
nature of deep learning training makes HP optimization (HPO) a costly endeavor,
slowing down the development of efficient HPO tools. While zero-cost
benchmarks, ... | [
{
"created": "Mon, 4 Mar 2024 09:49:35 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Apr 2024 01:56:05 GMT",
"version": "v2"
}
] | 2024-04-19 | [
[
"Watanabe",
"Shuhei",
""
],
[
"Mallik",
"Neeratyoy",
""
],
[
"Bergman",
"Edward",
""
],
[
"Hutter",
"Frank",
""
]
] | While deep learning has celebrated many successes, its results often hinge on the meticulous selection of hyperparameters (HPs). However, the time-consuming nature of deep learning training makes HP optimization (HPO) a costly endeavor, slowing down the development of efficient HPO tools. While zero-cost benchmarks, wh... |
2406.05224 | Zihao Chen | Zihao Chen, Zhili Xiao, Mahmoud Akl, Johannes Leugring, Omowuyi
Olajide, Adil Malik, Nik Dennler, Chad Harper, Subhankar Bose, Hector A.
Gonzalez, Jason Eshraghian, Riccardo Pignari, Gianvito Urgese, Andreas G.
Andreou, Sadasivan Shankar, Christian Mayr, Gert Cauwenberghs, Shantanu
Chakrabartty | ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers | 36 pages, 8 figures | null | null | null | cs.NE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We introduce NeuroSA, a neuromorphic architecture specifically designed to
ensure asymptotic convergence to the ground state of an Ising problem using an
annealing process that is governed by the physics of quantum mechanical
tunneling using Fowler-Nordheim (FN). The core component of NeuroSA consists of
a pair of as... | [
{
"created": "Fri, 7 Jun 2024 19:18:09 GMT",
"version": "v1"
}
] | 2024-06-11 | [
[
"Chen",
"Zihao",
""
],
[
"Xiao",
"Zhili",
""
],
[
"Akl",
"Mahmoud",
""
],
[
"Leugring",
"Johannes",
""
],
[
"Olajide",
"Omowuyi",
""
],
[
"Malik",
"Adil",
""
],
[
"Dennler",
"Nik",
""
],
[
"Harper",... | We introduce NeuroSA, a neuromorphic architecture specifically designed to ensure asymptotic convergence to the ground state of an Ising problem using an annealing process that is governed by the physics of quantum mechanical tunneling using Fowler-Nordheim (FN). The core component of NeuroSA consists of a pair of asyn... |
1209.0053 | Nilanjan Dey | Nilanjan Dey, Moumita Pal, Achintya Das | A Session Based Blind Watermarking Technique within the NROI of Retinal
Fundus Images for Authentication Using DWT, Spread Spectrum and Harris Corner
Detection | 9 pages, 10 figures | International Journal of Modern Engineering Research
(IJMER),Vol.2, Issue.3,May-June 2012 pp-749-757,ISSN: 2249-6645 | null | null | cs.CV cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Digital Retinal Fundus Images helps to detect various ophthalmic diseases by
detecting morphological changes in optical cup, optical disc and macula.
Present work proposes a method for the authentication of medical images based
on Discrete Wavelet Transformation (DWT) and Spread Spectrum. Proper selection
of the Non ... | [
{
"created": "Sat, 1 Sep 2012 04:17:39 GMT",
"version": "v1"
}
] | 2012-09-04 | [
[
"Dey",
"Nilanjan",
""
],
[
"Pal",
"Moumita",
""
],
[
"Das",
"Achintya",
""
]
] | Digital Retinal Fundus Images helps to detect various ophthalmic diseases by detecting morphological changes in optical cup, optical disc and macula. Present work proposes a method for the authentication of medical images based on Discrete Wavelet Transformation (DWT) and Spread Spectrum. Proper selection of the Non Re... |
2110.11331 | Hanrui Wang | Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong,
David Z. Pan, Song Han | QuantumNAT: Quantum Noise-Aware Training with Noise Injection,
Quantization and Normalization | Published as a conference paper at DAC 2022; 10 pages, 9 figures;
TorchQuantum open-source at https://github.com/mit-han-lab/torchquantum | null | 10.1145/3489517.3530400 | null | cs.LG cs.AI quant-ph | http://creativecommons.org/licenses/by/4.0/ | Parameterized Quantum Circuits (PQC) are promising towards quantum advantage
on near-term quantum hardware. However, due to the large quantum noises
(errors), the performance of PQC models has a severe degradation on real
quantum devices. Take Quantum Neural Network (QNN) as an example, the accuracy
gap between noise... | [
{
"created": "Thu, 21 Oct 2021 17:59:19 GMT",
"version": "v1"
},
{
"created": "Sat, 26 Feb 2022 22:23:50 GMT",
"version": "v2"
},
{
"created": "Fri, 22 Apr 2022 20:14:44 GMT",
"version": "v3"
},
{
"created": "Tue, 13 Jun 2023 19:56:10 GMT",
"version": "v4"
}
] | 2024-04-05 | [
[
"Wang",
"Hanrui",
""
],
[
"Gu",
"Jiaqi",
""
],
[
"Ding",
"Yongshan",
""
],
[
"Li",
"Zirui",
""
],
[
"Chong",
"Frederic T.",
""
],
[
"Pan",
"David Z.",
""
],
[
"Han",
"Song",
""
]
] | Parameterized Quantum Circuits (PQC) are promising towards quantum advantage on near-term quantum hardware. However, due to the large quantum noises (errors), the performance of PQC models has a severe degradation on real quantum devices. Take Quantum Neural Network (QNN) as an example, the accuracy gap between noise-f... |
2303.02733 | Alexander Detkov | Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin
Zhang, Wei Lui, Shangling Jui, Di Niu | Reparameterization through Spatial Gradient Scaling | Published at ICLR 2023. Code available at
https://github.com/Ascend-Research/Reparameterization | null | null | null | cs.LG cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reparameterization aims to improve the generalization of deep neural networks
by transforming convolutional layers into equivalent multi-branched structures
during training. However, there exists a gap in understanding how
reparameterization may change and benefit the learning process of neural
networks. In this pape... | [
{
"created": "Sun, 5 Mar 2023 17:57:33 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Mar 2023 02:07:01 GMT",
"version": "v2"
}
] | 2023-03-08 | [
[
"Detkov",
"Alexander",
""
],
[
"Salameh",
"Mohammad",
""
],
[
"Qharabagh",
"Muhammad Fetrat",
""
],
[
"Zhang",
"Jialin",
""
],
[
"Lui",
"Wei",
""
],
[
"Jui",
"Shangling",
""
],
[
"Niu",
"Di",
""
]
] | Reparameterization aims to improve the generalization of deep neural networks by transforming convolutional layers into equivalent multi-branched structures during training. However, there exists a gap in understanding how reparameterization may change and benefit the learning process of neural networks. In this paper,... |
1701.02444 | Rajshekhar Bhat Vishweshwar | Rajshekhar Vishweshwar Bhat, Mehul Motani and Teng Joon Lim | Energy Harvesting Communication Using Finite-Capacity Batteries with
Internal Resistance | 30 single column pages | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern systems will increasingly rely on energy harvested from their
environment. Such systems utilize batteries to smoothen out the random
fluctuations in harvested energy. These fluctuations induce highly variable
battery charge and discharge rates, which affect the efficiencies of practical
batteries that typicall... | [
{
"created": "Tue, 10 Jan 2017 06:16:37 GMT",
"version": "v1"
}
] | 2017-01-11 | [
[
"Bhat",
"Rajshekhar Vishweshwar",
""
],
[
"Motani",
"Mehul",
""
],
[
"Lim",
"Teng Joon",
""
]
] | Modern systems will increasingly rely on energy harvested from their environment. Such systems utilize batteries to smoothen out the random fluctuations in harvested energy. These fluctuations induce highly variable battery charge and discharge rates, which affect the efficiencies of practical batteries that typically ... |
1904.08559 | Vishnu Raj | Vishnu Raj, Sheetal Kalyani | Design of Communication Systems using Deep Learning: A Variational
Inference Perspective | null | null | null | null | cs.IT cs.LG math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent research in the design of end to end communication system using deep
learning has produced models which can outperform traditional communication
schemes. Most of these architectures leveraged autoencoders to design the
encoder at the transmitter and decoder at the receiver and train them jointly
by modeling tr... | [
{
"created": "Thu, 18 Apr 2019 01:41:13 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Aug 2019 01:22:10 GMT",
"version": "v2"
},
{
"created": "Sat, 25 Jan 2020 01:43:10 GMT",
"version": "v3"
}
] | 2020-01-28 | [
[
"Raj",
"Vishnu",
""
],
[
"Kalyani",
"Sheetal",
""
]
] | Recent research in the design of end to end communication system using deep learning has produced models which can outperform traditional communication schemes. Most of these architectures leveraged autoencoders to design the encoder at the transmitter and decoder at the receiver and train them jointly by modeling tran... |
2207.10284 | Zhanpeng Zeng | Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn M Fung, Vikas Singh | Multi Resolution Analysis (MRA) for Approximate Self-Attention | ICML2022 | null | null | null | cs.LG cs.CL eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformers have emerged as a preferred model for many tasks in natural
langugage processing and vision. Recent efforts on training and deploying
Transformers more efficiently have identified many strategies to approximate
the self-attention matrix, a key module in a Transformer architecture.
Effective ideas include... | [
{
"created": "Thu, 21 Jul 2022 03:36:30 GMT",
"version": "v1"
}
] | 2022-07-22 | [
[
"Zeng",
"Zhanpeng",
""
],
[
"Pal",
"Sourav",
""
],
[
"Kline",
"Jeffery",
""
],
[
"Fung",
"Glenn M",
""
],
[
"Singh",
"Vikas",
""
]
] | Transformers have emerged as a preferred model for many tasks in natural langugage processing and vision. Recent efforts on training and deploying Transformers more efficiently have identified many strategies to approximate the self-attention matrix, a key module in a Transformer architecture. Effective ideas include v... |
1706.09274 | Haosheng Zou | Haosheng Zou, Kun Xu, Jialian Li, Jun Zhu | The YouTube-8M Kaggle Competition: Challenges and Methods | accepted to CVPR'17 Workshop on YouTube-8M Large-Scale Video
Understanding (oral presentation); code is at
https://github.com/taufikxu/youtube on branches kunxu and zhs | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We took part in the YouTube-8M Video Understanding Challenge hosted on
Kaggle, and achieved the 10th place within less than one month's time. In this
paper, we present an extensive analysis and solution to the underlying
machine-learning problem based on frame-level data, where major challenges are
identified and cor... | [
{
"created": "Wed, 28 Jun 2017 13:20:51 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Jul 2017 05:30:37 GMT",
"version": "v2"
}
] | 2017-07-14 | [
[
"Zou",
"Haosheng",
""
],
[
"Xu",
"Kun",
""
],
[
"Li",
"Jialian",
""
],
[
"Zhu",
"Jun",
""
]
] | We took part in the YouTube-8M Video Understanding Challenge hosted on Kaggle, and achieved the 10th place within less than one month's time. In this paper, we present an extensive analysis and solution to the underlying machine-learning problem based on frame-level data, where major challenges are identified and corre... |
2407.00009 | Xinshi Zang | Xinshi Zang, Wenhao Lin, Shiju Lin, Jinwei Liu, Evangeline F.Y. Young | An Open-Source Fast Parallel Routing Approach for Commercial FPGAs | null | null | null | null | cs.DC cs.NI | http://creativecommons.org/licenses/by/4.0/ | In the face of escalating complexity and size of contemporary FPGAs and
circuits, routing emerges as a pivotal and time-intensive phase in FPGA
compilation flows. In response to this challenge, we present an open-source
parallel routing methodology designed to expedite routing procedures for
commercial FPGAs. Our app... | [
{
"created": "Thu, 25 Apr 2024 09:27:33 GMT",
"version": "v1"
}
] | 2024-07-02 | [
[
"Zang",
"Xinshi",
""
],
[
"Lin",
"Wenhao",
""
],
[
"Lin",
"Shiju",
""
],
[
"Liu",
"Jinwei",
""
],
[
"Young",
"Evangeline F. Y.",
""
]
] | In the face of escalating complexity and size of contemporary FPGAs and circuits, routing emerges as a pivotal and time-intensive phase in FPGA compilation flows. In response to this challenge, we present an open-source parallel routing methodology designed to expedite routing procedures for commercial FPGAs. Our appro... |
1604.04724 | Shanmuganathan Raman | Sri Raghu Malireddi, Shanmuganathan Raman | Automatic Segmentation of Dynamic Objects from an Image Pair | 8 pages | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic segmentation of objects from a single image is a challenging
problem which generally requires training on large number of images. We
consider the problem of automatically segmenting only the dynamic objects from
a given pair of images of a scene captured from different positions. We exploit
dense correspond... | [
{
"created": "Sat, 16 Apr 2016 11:00:24 GMT",
"version": "v1"
}
] | 2016-04-19 | [
[
"Malireddi",
"Sri Raghu",
""
],
[
"Raman",
"Shanmuganathan",
""
]
] | Automatic segmentation of objects from a single image is a challenging problem which generally requires training on large number of images. We consider the problem of automatically segmenting only the dynamic objects from a given pair of images of a scene captured from different positions. We exploit dense corresponden... |
2006.14223 | Alex Sokolov | Alex Sokolov, Denis Filimonov | Neural Machine Translation For Paraphrase Generation | Published in NIPS 2018: 2nd Conversational AI workshop | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Training a spoken language understanding system, as the one in Alexa,
typically requires a large human-annotated corpus of data. Manual annotations
are expensive and time consuming. In Alexa Skill Kit (ASK) user experience with
the skill greatly depends on the amount of data provided by skill developer. In
this work,... | [
{
"created": "Thu, 25 Jun 2020 07:38:00 GMT",
"version": "v1"
}
] | 2020-06-30 | [
[
"Sokolov",
"Alex",
""
],
[
"Filimonov",
"Denis",
""
]
] | Training a spoken language understanding system, as the one in Alexa, typically requires a large human-annotated corpus of data. Manual annotations are expensive and time consuming. In Alexa Skill Kit (ASK) user experience with the skill greatly depends on the amount of data provided by skill developer. In this work, w... |
2203.05266 | Donadel Denis | Mauro Conti, Denis Donadel, Radha Poovendran, Federico Turrin | EVExchange: A Relay Attack on Electric Vehicle Charging System | 20 pages, 6 figures | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To support the increasing spread of Electric Vehicles (EVs), Charging
Stations (CSs) are being installed worldwide. The new generation of CSs employs
the Vehicle-To-Grid (V2G) paradigm by implementing novel standards such as the
ISO 15118. This standard enables high-level communication between the vehicle
and the cha... | [
{
"created": "Thu, 10 Mar 2022 09:54:12 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Jul 2022 14:09:33 GMT",
"version": "v2"
}
] | 2022-07-08 | [
[
"Conti",
"Mauro",
""
],
[
"Donadel",
"Denis",
""
],
[
"Poovendran",
"Radha",
""
],
[
"Turrin",
"Federico",
""
]
] | To support the increasing spread of Electric Vehicles (EVs), Charging Stations (CSs) are being installed worldwide. The new generation of CSs employs the Vehicle-To-Grid (V2G) paradigm by implementing novel standards such as the ISO 15118. This standard enables high-level communication between the vehicle and the charg... |
1610.07100 | Matthew Hastings | M. B. Hastings | Local Maxima and Improved Exact Algorithm for MAX-2-SAT | 17 pages, no figures | null | null | null | cs.DS cond-mat.stat-mech | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a MAX-2-SAT instance, we define a local maximum to be an assignment
such that changing any single variable reduces the number of satisfied clauses.
We consider the question of the number of local maxima that an instance of
MAX-2-SAT can have. We give upper bounds in both the sparse and nonsparse case,
where the... | [
{
"created": "Sat, 22 Oct 2016 22:48:43 GMT",
"version": "v1"
}
] | 2016-11-01 | [
[
"Hastings",
"M. B.",
""
]
] | Given a MAX-2-SAT instance, we define a local maximum to be an assignment such that changing any single variable reduces the number of satisfied clauses. We consider the question of the number of local maxima that an instance of MAX-2-SAT can have. We give upper bounds in both the sparse and nonsparse case, where the s... |
2108.10095 | Sophie Zinser | Sophie Zinser and Hannah Thinyane | Organizational Resilience between Competing Networks of Infomediaries: A
Case Study in Civil Society Resilience in Hong Kong | In proceedings of the 1st Virtual Conference on Implications of
Information and Digital Technologies for Development, 2021 | null | null | null | cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This study explores how non-governmental organizations (NGOs) in Hong Kong
can be considered as 'infomediaries' (UNDP, 2003) in their use of information
and communication technologies (ICTs) to support resilience-building across a
growing population of migrant domestic workers (MDWs). It also acknowledges
MDWs effect... | [
{
"created": "Mon, 23 Aug 2021 11:51:53 GMT",
"version": "v1"
}
] | 2021-08-24 | [
[
"Zinser",
"Sophie",
""
],
[
"Thinyane",
"Hannah",
""
]
] | This study explores how non-governmental organizations (NGOs) in Hong Kong can be considered as 'infomediaries' (UNDP, 2003) in their use of information and communication technologies (ICTs) to support resilience-building across a growing population of migrant domestic workers (MDWs). It also acknowledges MDWs effectiv... |
2210.16644 | Anchit Gupta | Darshan Singh S, Anchit Gupta, C. V. Jawahar, Makarand Tapaswi | Unsupervised Audio-Visual Lecture Segmentation | 17 pages, 14 figures, 14 tables, Accepted to WACV 2023. Project page:
https://cvit.iiit.ac.in/research/projects/cvit-projects/avlectures | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Over the last decade, online lecture videos have become increasingly popular
and have experienced a meteoric rise during the pandemic. However,
video-language research has primarily focused on instructional videos or
movies, and tools to help students navigate the growing online lectures are
lacking. Our first contri... | [
{
"created": "Sat, 29 Oct 2022 16:26:34 GMT",
"version": "v1"
}
] | 2022-11-01 | [
[
"S",
"Darshan Singh",
""
],
[
"Gupta",
"Anchit",
""
],
[
"Jawahar",
"C. V.",
""
],
[
"Tapaswi",
"Makarand",
""
]
] | Over the last decade, online lecture videos have become increasingly popular and have experienced a meteoric rise during the pandemic. However, video-language research has primarily focused on instructional videos or movies, and tools to help students navigate the growing online lectures are lacking. Our first contribu... |
2305.03850 | Alexander Mariona | Alexander Mariona, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Muriel
M\'edard | A Non-Asymptotic Analysis of Mismatched Guesswork | 7 pages, 1 figure. Accepted to ISIT 2023 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of mismatched guesswork considers the additional cost incurred by
using a guessing function which is optimal for a distribution $q$ when the
random variable to be guessed is actually distributed according to a different
distribution $p$. This problem has been well-studied from an asymptotic
perspective, b... | [
{
"created": "Fri, 5 May 2023 21:09:23 GMT",
"version": "v1"
}
] | 2023-05-09 | [
[
"Mariona",
"Alexander",
""
],
[
"Esfahanizadeh",
"Homa",
""
],
[
"D'Oliveira",
"Rafael G. L.",
""
],
[
"Médard",
"Muriel",
""
]
] | The problem of mismatched guesswork considers the additional cost incurred by using a guessing function which is optimal for a distribution $q$ when the random variable to be guessed is actually distributed according to a different distribution $p$. This problem has been well-studied from an asymptotic perspective, but... |
2405.08419 | Haiyong Xu | Meisheng Guan, Haiyong Xu, Gangyi Jiang, Mei Yu, Yeyao Chen, Ting Luo,
Yang Song | WaterMamba: Visual State Space Model for Underwater Image Enhancement | arXiv admin note: substantial text overlap with arXiv:2403.06098 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Underwater imaging often suffers from low quality due to factors affecting
light propagation and absorption in water. To improve image quality, some
underwater image enhancement (UIE) methods based on convolutional neural
networks (CNN) and Transformer have been proposed. However, CNN-based UIE
methods are limited in... | [
{
"created": "Tue, 14 May 2024 08:26:29 GMT",
"version": "v1"
}
] | 2024-05-15 | [
[
"Guan",
"Meisheng",
""
],
[
"Xu",
"Haiyong",
""
],
[
"Jiang",
"Gangyi",
""
],
[
"Yu",
"Mei",
""
],
[
"Chen",
"Yeyao",
""
],
[
"Luo",
"Ting",
""
],
[
"Song",
"Yang",
""
]
] | Underwater imaging often suffers from low quality due to factors affecting light propagation and absorption in water. To improve image quality, some underwater image enhancement (UIE) methods based on convolutional neural networks (CNN) and Transformer have been proposed. However, CNN-based UIE methods are limited in m... |
2205.07562 | Vieri Giuliano Santucci | Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri
Giuliano Santucci | Autonomous Open-Ended Learning of Tasks with Non-Stationary
Interdependencies | Submitted and accepted to "The Multi-disciplinary Conference on
Reinforcement Learning and Decision Making" RLDM 2022 | null | null | null | cs.LG cs.AI cs.RO | http://creativecommons.org/licenses/by/4.0/ | Autonomous open-ended learning is a relevant approach in machine learning and
robotics, allowing the design of artificial agents able to acquire goals and
motor skills without the necessity of user assigned tasks. A crucial issue for
this approach is to develop strategies to ensure that agents can maximise their
comp... | [
{
"created": "Mon, 16 May 2022 10:43:01 GMT",
"version": "v1"
}
] | 2022-05-17 | [
[
"Romero",
"Alejandro",
""
],
[
"Baldassarre",
"Gianluca",
""
],
[
"Duro",
"Richard J.",
""
],
[
"Santucci",
"Vieri Giuliano",
""
]
] | Autonomous open-ended learning is a relevant approach in machine learning and robotics, allowing the design of artificial agents able to acquire goals and motor skills without the necessity of user assigned tasks. A crucial issue for this approach is to develop strategies to ensure that agents can maximise their compet... |
1901.08397 | Zhiyong Yuan | Xuejie Mai, Zhiyong Yuan, Qianqian Tong, Tianchen Yuan, and Jianhui
Zhao | Periodic-corrected data driven coupling of blood flow and vessel wall
for virtual surgery | null | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fast and realistic coupling of blood flow and vessel wall is of great
importance to virtual surgery. In this paper, we propose a novel data-driven
coupling method that formulates physics-based blood flow simulation as a
regression problem, using an improved periodic-corrected neural network
(PcNet), estimating the ac... | [
{
"created": "Thu, 24 Jan 2019 13:32:03 GMT",
"version": "v1"
}
] | 2019-01-25 | [
[
"Mai",
"Xuejie",
""
],
[
"Yuan",
"Zhiyong",
""
],
[
"Tong",
"Qianqian",
""
],
[
"Yuan",
"Tianchen",
""
],
[
"Zhao",
"Jianhui",
""
]
] | Fast and realistic coupling of blood flow and vessel wall is of great importance to virtual surgery. In this paper, we propose a novel data-driven coupling method that formulates physics-based blood flow simulation as a regression problem, using an improved periodic-corrected neural network (PcNet), estimating the acce... |
1409.1148 | Hatem Abou-zeid | Hatem Abou-zeid and Hosssam S. Hassenein | Toward Green Media Delivery: Location-Aware Opportunities and Approaches | null | null | null | null | cs.MM cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile media has undoubtedly become the predominant source of traffic in
wireless networks. The result is not only congestion and poor
Quality-of-Experience, but also an unprecedented energy drain at both the
network and user devices. In order to sustain this continued growth, novel
disruptive paradigms of media deli... | [
{
"created": "Wed, 3 Sep 2014 16:28:36 GMT",
"version": "v1"
}
] | 2014-09-04 | [
[
"Abou-zeid",
"Hatem",
""
],
[
"Hassenein",
"Hosssam S.",
""
]
] | Mobile media has undoubtedly become the predominant source of traffic in wireless networks. The result is not only congestion and poor Quality-of-Experience, but also an unprecedented energy drain at both the network and user devices. In order to sustain this continued growth, novel disruptive paradigms of media delive... |
1902.02636 | Bita Azari | Bita Azari, Angelica Lim and Richard T. Vaughan | Commodifying Pointing in HRI: Simple and Fast Pointing Gesture Detection
from RGB-D Images | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present and characterize a simple method for detecting pointing gestures
suitable for human-robot interaction applications using a commodity RGB-D
camera. We exploit a state-of-the-art Deep CNN-based detector to find hands and
faces in RGB images, then examine the corresponding depth channel pixels to
obtain full ... | [
{
"created": "Thu, 7 Feb 2019 14:28:13 GMT",
"version": "v1"
}
] | 2019-02-08 | [
[
"Azari",
"Bita",
""
],
[
"Lim",
"Angelica",
""
],
[
"Vaughan",
"Richard T.",
""
]
] | We present and characterize a simple method for detecting pointing gestures suitable for human-robot interaction applications using a commodity RGB-D camera. We exploit a state-of-the-art Deep CNN-based detector to find hands and faces in RGB images, then examine the corresponding depth channel pixels to obtain full 3D... |
2106.08187 | Zehong Hu Mr. | Long Yang, Zhao Li, Zehong Hu, Shasha Ruan, Shijian Li, Gang Pan,
Hongyang Chen | Thompson Sampling for Unimodal Bandits | There are some technical parts need to be improved. We will fix these
places and provide an updated version | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a Thompson Sampling algorithm for \emph{unimodal}
bandits, where the expected reward is unimodal over the partially ordered arms.
To exploit the unimodal structure better, at each step, instead of exploration
from the entire decision space, our algorithm makes decision according to
posterior... | [
{
"created": "Tue, 15 Jun 2021 14:40:34 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Jun 2021 04:51:04 GMT",
"version": "v2"
}
] | 2021-06-17 | [
[
"Yang",
"Long",
""
],
[
"Li",
"Zhao",
""
],
[
"Hu",
"Zehong",
""
],
[
"Ruan",
"Shasha",
""
],
[
"Li",
"Shijian",
""
],
[
"Pan",
"Gang",
""
],
[
"Chen",
"Hongyang",
""
]
] | In this paper, we propose a Thompson Sampling algorithm for \emph{unimodal} bandits, where the expected reward is unimodal over the partially ordered arms. To exploit the unimodal structure better, at each step, instead of exploration from the entire decision space, our algorithm makes decision according to posterior d... |
2204.09151 | Pha Nguyen | Pha Nguyen, Kha Gia Quach, Chi Nhan Duong, Ngan Le, Xuan-Bac Nguyen,
Khoa Luu | Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous
Vehicles | Accepted at CVPRW 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The development of autonomous vehicles provides an opportunity to have a
complete set of camera sensors capturing the environment around the car. Thus,
it is important for object detection and tracking to address new challenges,
such as achieving consistent results across views of cameras. To address these
challenges... | [
{
"created": "Tue, 19 Apr 2022 22:50:36 GMT",
"version": "v1"
}
] | 2022-04-21 | [
[
"Nguyen",
"Pha",
""
],
[
"Quach",
"Kha Gia",
""
],
[
"Duong",
"Chi Nhan",
""
],
[
"Le",
"Ngan",
""
],
[
"Nguyen",
"Xuan-Bac",
""
],
[
"Luu",
"Khoa",
""
]
] | The development of autonomous vehicles provides an opportunity to have a complete set of camera sensors capturing the environment around the car. Thus, it is important for object detection and tracking to address new challenges, such as achieving consistent results across views of cameras. To address these challenges, ... |
2211.02175 | Bing Shuai | Bing Shuai, Alessandro Bergamo, Uta Buechler, Andrew Berneshawi,
Alyssa Boden, Joseph Tighe | Large Scale Real-World Multi-Person Tracking | ECCV 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a new large scale multi-person tracking dataset --
\texttt{PersonPath22}, which is over an order of magnitude larger than
currently available high quality multi-object tracking datasets such as MOT17,
HiEve, and MOT20 datasets. The lack of large scale training and test data for
this task has limit... | [
{
"created": "Thu, 3 Nov 2022 23:03:13 GMT",
"version": "v1"
}
] | 2022-11-07 | [
[
"Shuai",
"Bing",
""
],
[
"Bergamo",
"Alessandro",
""
],
[
"Buechler",
"Uta",
""
],
[
"Berneshawi",
"Andrew",
""
],
[
"Boden",
"Alyssa",
""
],
[
"Tighe",
"Joseph",
""
]
] | This paper presents a new large scale multi-person tracking dataset -- \texttt{PersonPath22}, which is over an order of magnitude larger than currently available high quality multi-object tracking datasets such as MOT17, HiEve, and MOT20 datasets. The lack of large scale training and test data for this task has limited... |
2004.04933 | Yukun Huang | Yukun Huang, Zheng-Jun Zha, Xueyang Fu, Richang Hong, Liang Li | Real-world Person Re-Identification via Degradation Invariance Learning | To appear in CVPR2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Person re-identification (Re-ID) in real-world scenarios usually suffers from
various degradation factors, e.g., low-resolution, weak illumination, blurring
and adverse weather. On the one hand, these degradations lead to severe
discriminative information loss, which significantly obstructs identity
representation le... | [
{
"created": "Fri, 10 Apr 2020 07:58:50 GMT",
"version": "v1"
}
] | 2020-04-13 | [
[
"Huang",
"Yukun",
""
],
[
"Zha",
"Zheng-Jun",
""
],
[
"Fu",
"Xueyang",
""
],
[
"Hong",
"Richang",
""
],
[
"Li",
"Liang",
""
]
] | Person re-identification (Re-ID) in real-world scenarios usually suffers from various degradation factors, e.g., low-resolution, weak illumination, blurring and adverse weather. On the one hand, these degradations lead to severe discriminative information loss, which significantly obstructs identity representation lear... |
1709.05871 | Vinod Muthusamy | Bishwaranjan Bhattacharjee, Scott Boag, Chandani Doshi, Parijat Dube,
Ben Herta, Vatche Ishakian, K. R. Jayaram, Rania Khalaf, Avesh Krishna, Yu Bo
Li, Vinod Muthusamy, Ruchir Puri, Yufei Ren, Florian Rosenberg, Seetharami R.
Seelam, Yandong Wang, Jian Ming Zhang, Li Zhang | IBM Deep Learning Service | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning driven by large neural network models is overtaking traditional
machine learning methods for understanding unstructured and perceptual data
domains such as speech, text, and vision. At the same time, the
"as-a-Service"-based business model on the cloud is fundamentally transforming
the information techn... | [
{
"created": "Mon, 18 Sep 2017 11:40:48 GMT",
"version": "v1"
}
] | 2017-09-19 | [
[
"Bhattacharjee",
"Bishwaranjan",
""
],
[
"Boag",
"Scott",
""
],
[
"Doshi",
"Chandani",
""
],
[
"Dube",
"Parijat",
""
],
[
"Herta",
"Ben",
""
],
[
"Ishakian",
"Vatche",
""
],
[
"Jayaram",
"K. R.",
""
],
... | Deep learning driven by large neural network models is overtaking traditional machine learning methods for understanding unstructured and perceptual data domains such as speech, text, and vision. At the same time, the "as-a-Service"-based business model on the cloud is fundamentally transforming the information technol... |
1705.07728 | Svyatoslav Covanov | Svyatoslav Covanov (CARAMBA) | Improved method for finding optimal formulae for bilinear maps in a
finite field | null | null | null | null | cs.DS cs.CC cs.DM cs.SC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In 2012, Barbulescu, Detrey, Estibals and Zimmermann proposed a new framework
to exhaustively search for optimal formulae for evaluating bilinear maps, such
as Strassen or Karatsuba formulae. The main contribution of this work is a new
criterion to aggressively prune useless branches in the exhaustive search, thus
le... | [
{
"created": "Tue, 9 May 2017 06:20:33 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Nov 2017 13:39:12 GMT",
"version": "v2"
},
{
"created": "Fri, 7 Dec 2018 16:10:46 GMT",
"version": "v3"
}
] | 2018-12-10 | [
[
"Covanov",
"Svyatoslav",
"",
"CARAMBA"
]
] | In 2012, Barbulescu, Detrey, Estibals and Zimmermann proposed a new framework to exhaustively search for optimal formulae for evaluating bilinear maps, such as Strassen or Karatsuba formulae. The main contribution of this work is a new criterion to aggressively prune useless branches in the exhaustive search, thus lead... |
2108.08421 | Mingjun Yin | Mingjun Yin, Shasha Li, Zikui Cai, Chengyu Song, M. Salman Asif, Amit
K. Roy-Chowdhury, and Srikanth V. Krishnamurthy | Exploiting Multi-Object Relationships for Detecting Adversarial Attacks
in Complex Scenes | ICCV'21 Accepted | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vision systems that deploy Deep Neural Networks (DNNs) are known to be
vulnerable to adversarial examples. Recent research has shown that checking the
intrinsic consistencies in the input data is a promising way to detect
adversarial attacks (e.g., by checking the object co-occurrence relationships
in complex scenes)... | [
{
"created": "Thu, 19 Aug 2021 00:52:10 GMT",
"version": "v1"
}
] | 2021-08-20 | [
[
"Yin",
"Mingjun",
""
],
[
"Li",
"Shasha",
""
],
[
"Cai",
"Zikui",
""
],
[
"Song",
"Chengyu",
""
],
[
"Asif",
"M. Salman",
""
],
[
"Roy-Chowdhury",
"Amit K.",
""
],
[
"Krishnamurthy",
"Srikanth V.",
""
]
] | Vision systems that deploy Deep Neural Networks (DNNs) are known to be vulnerable to adversarial examples. Recent research has shown that checking the intrinsic consistencies in the input data is a promising way to detect adversarial attacks (e.g., by checking the object co-occurrence relationships in complex scenes). ... |
2009.03534 | Hyungjun Kim | Eunho Koo and Hyungjun Kim | Empirical Strategy for Stretching Probability Distribution in
Neural-network-based Regression | 13 pages, 4 figures, to be submitted to Neural Networks | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In regression analysis under artificial neural networks, the prediction
performance depends on determining the appropriate weights between layers. As
randomly initialized weights are updated during back-propagation using the
gradient descent procedure under a given loss function, the loss function
structure can affec... | [
{
"created": "Tue, 8 Sep 2020 06:08:14 GMT",
"version": "v1"
}
] | 2020-09-09 | [
[
"Koo",
"Eunho",
""
],
[
"Kim",
"Hyungjun",
""
]
] | In regression analysis under artificial neural networks, the prediction performance depends on determining the appropriate weights between layers. As randomly initialized weights are updated during back-propagation using the gradient descent procedure under a given loss function, the loss function structure can affect ... |
2212.02035 | Yuki Osumi | Yuki Osumi, Naotaka Umekawa, Hitomi Komata, Shinpei Hayashi | Empirical Study of Co-Renamed Identifiers | 10 pages, APSEC 2022 | Proceedings of the 29th Asia-Pacific Software Engineering
Conference, 71-80, 2022 | 10.1109/APSEC57359.2022.00019 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Background: The renaming of program identifiers is the most common
refactoring operation. Because some identifiers are related to each other,
developers may need to rename related identifiers together. Aims: To understand
how developers rename multiple identifiers simultaneously, it is necessary to
consider the relat... | [
{
"created": "Mon, 5 Dec 2022 05:08:43 GMT",
"version": "v1"
}
] | 2022-12-07 | [
[
"Osumi",
"Yuki",
""
],
[
"Umekawa",
"Naotaka",
""
],
[
"Komata",
"Hitomi",
""
],
[
"Hayashi",
"Shinpei",
""
]
] | Background: The renaming of program identifiers is the most common refactoring operation. Because some identifiers are related to each other, developers may need to rename related identifiers together. Aims: To understand how developers rename multiple identifiers simultaneously, it is necessary to consider the relatio... |
1208.0318 | Saptarshi Das | Saptarshi Das, Indranil Pan, Khrist Sur, Shantanu Das | Artificial Neural Network Based Prediction of Optimal Pseudo-Damping and
Meta-Damping in Oscillatory Fractional Order Dynamical Systems | 7 pages, 9 figures | 2012 International Conference on Advances in Engineering, Science
and Management (ICAESM), art. no. 6216029 , pp. 350-356 | null | null | cs.SY cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates typical behaviors like damped oscillations in
fractional order (FO) dynamical systems. Such response occurs due to the
presence of, what is conceived as, pseudo-damping and meta-damping in some
special class of FO systems. Here, approximation of such damped oscillation in
FO systems with the c... | [
{
"created": "Wed, 1 Aug 2012 18:54:07 GMT",
"version": "v1"
}
] | 2012-08-02 | [
[
"Das",
"Saptarshi",
""
],
[
"Pan",
"Indranil",
""
],
[
"Sur",
"Khrist",
""
],
[
"Das",
"Shantanu",
""
]
] | This paper investigates typical behaviors like damped oscillations in fractional order (FO) dynamical systems. Such response occurs due to the presence of, what is conceived as, pseudo-damping and meta-damping in some special class of FO systems. Here, approximation of such damped oscillation in FO systems with the con... |
2310.15758 | Dominic Petrak | Dominic Petrak, Nafise Sadat Moosavi, Ye Tian, Nikolai Rozanov, Iryna
Gurevych | Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend
Existing Ones? | Accepted to be presented at EMNLP 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Learning from free-text human feedback is essential for dialog systems, but
annotated data is scarce and usually covers only a small fraction of error
types known in conversational AI. Instead of collecting and annotating new
datasets from scratch, recent advances in synthetic dialog generation could be
used to augme... | [
{
"created": "Tue, 24 Oct 2023 12:01:11 GMT",
"version": "v1"
}
] | 2023-10-25 | [
[
"Petrak",
"Dominic",
""
],
[
"Moosavi",
"Nafise Sadat",
""
],
[
"Tian",
"Ye",
""
],
[
"Rozanov",
"Nikolai",
""
],
[
"Gurevych",
"Iryna",
""
]
] | Learning from free-text human feedback is essential for dialog systems, but annotated data is scarce and usually covers only a small fraction of error types known in conversational AI. Instead of collecting and annotating new datasets from scratch, recent advances in synthetic dialog generation could be used to augment... |
1907.06005 | Xiang Zhang | Yu Gu, Xiang Zhang, Zhi Liu and Fuji Ren | BeSense: Leveraging WiFi Channel Data and Computational Intelligence for
Behavior Analysis | 11 pages accepted by IEEE Computational Intelligence Magazine | null | 10.1109/MCI.2019.2937610 | null | cs.HC cs.AI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ever evolving informatics technology has gradually bounded human and
computer in a compact way. Understanding user behavior becomes a key enabler in
many fields such as sedentary-related healthcare, human-computer interaction
(HCI) and affective computing. Traditional sensor-based and vision-based user
behavior a... | [
{
"created": "Sat, 13 Jul 2019 03:31:14 GMT",
"version": "v1"
},
{
"created": "Mon, 23 Mar 2020 10:48:13 GMT",
"version": "v2"
}
] | 2020-05-25 | [
[
"Gu",
"Yu",
""
],
[
"Zhang",
"Xiang",
""
],
[
"Liu",
"Zhi",
""
],
[
"Ren",
"Fuji",
""
]
] | The ever evolving informatics technology has gradually bounded human and computer in a compact way. Understanding user behavior becomes a key enabler in many fields such as sedentary-related healthcare, human-computer interaction (HCI) and affective computing. Traditional sensor-based and vision-based user behavior ana... |
2010.03133 | Zhiyu Zhang | Zhiyu Zhang, Ioannis Paschalidis | Provable Hierarchical Imitation Learning via EM | To appear in AISTATS 2021 | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Due to recent empirical successes, the options framework for hierarchical
reinforcement learning is gaining increasing popularity. Rather than learning
from rewards which suffers from the curse of dimensionality, we consider
learning an options-type hierarchical policy from expert demonstrations. Such a
problem is re... | [
{
"created": "Wed, 7 Oct 2020 03:21:57 GMT",
"version": "v1"
},
{
"created": "Sun, 14 Feb 2021 04:01:16 GMT",
"version": "v2"
}
] | 2021-02-16 | [
[
"Zhang",
"Zhiyu",
""
],
[
"Paschalidis",
"Ioannis",
""
]
] | Due to recent empirical successes, the options framework for hierarchical reinforcement learning is gaining increasing popularity. Rather than learning from rewards which suffers from the curse of dimensionality, we consider learning an options-type hierarchical policy from expert demonstrations. Such a problem is refe... |
2405.15743 | Nolan Dey | Nolan Dey and Shane Bergsma and Joel Hestness | Sparse maximal update parameterization: A holistic approach to sparse
training dynamics | 9 pages main text, 11 pages reference and appendix, 11 figures | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Several challenges make it difficult for sparse neural networks to compete
with dense models. First, setting a large fraction of weights to zero impairs
forward and gradient signal propagation. Second, sparse studies often need to
test multiple sparsity levels, while also introducing new hyperparameters
(HPs), leadin... | [
{
"created": "Fri, 24 May 2024 17:39:26 GMT",
"version": "v1"
}
] | 2024-05-27 | [
[
"Dey",
"Nolan",
""
],
[
"Bergsma",
"Shane",
""
],
[
"Hestness",
"Joel",
""
]
] | Several challenges make it difficult for sparse neural networks to compete with dense models. First, setting a large fraction of weights to zero impairs forward and gradient signal propagation. Second, sparse studies often need to test multiple sparsity levels, while also introducing new hyperparameters (HPs), leading ... |
2312.08747 | Dat Thanh Nguyen | Dat Thanh Nguyen | Dissecting vocabulary biases datasets through statistical testing and
automated data augmentation for artifact mitigation in Natural Language
Inference | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In recent years, the availability of large-scale annotated datasets, such as
the Stanford Natural Language Inference and the Multi-Genre Natural Language
Inference, coupled with the advent of pre-trained language models, has
significantly contributed to the development of the natural language inference
domain. Howeve... | [
{
"created": "Thu, 14 Dec 2023 08:46:26 GMT",
"version": "v1"
}
] | 2023-12-15 | [
[
"Nguyen",
"Dat Thanh",
""
]
] | In recent years, the availability of large-scale annotated datasets, such as the Stanford Natural Language Inference and the Multi-Genre Natural Language Inference, coupled with the advent of pre-trained language models, has significantly contributed to the development of the natural language inference domain. However,... |
2208.09285 | Andrew Wang | Andrew Wang, Wyatt Mayor, Ryan Smith, Gopal Nookula, Gregory Ditzler | Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against
Shadow-Based Adversarial Attacks | This is a draft version - our core results are reported, but
additional experiments for journal submission are still being run | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Robust classification is essential in tasks like autonomous vehicle sign
recognition, where the downsides of misclassification can be grave. Adversarial
attacks threaten the robustness of neural network classifiers, causing them to
consistently and confidently misidentify road signs. One such class of attack,
shadow-... | [
{
"created": "Thu, 18 Aug 2022 00:19:01 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Sep 2022 03:22:02 GMT",
"version": "v2"
}
] | 2022-10-03 | [
[
"Wang",
"Andrew",
""
],
[
"Mayor",
"Wyatt",
""
],
[
"Smith",
"Ryan",
""
],
[
"Nookula",
"Gopal",
""
],
[
"Ditzler",
"Gregory",
""
]
] | Robust classification is essential in tasks like autonomous vehicle sign recognition, where the downsides of misclassification can be grave. Adversarial attacks threaten the robustness of neural network classifiers, causing them to consistently and confidently misidentify road signs. One such class of attack, shadow-ba... |
0909.5119 | Marios Kountouris | Jeffrey G. Andrews, Steven Weber, Marios Kountouris, Martin Haenggi | Random Access Transport Capacity | Submitted to IEEE Trans. on Wireless Communications, Sept. 2009 | null | 10.1109/TWC.2010.06.091432 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop a new metric for quantifying end-to-end throughput in multihop
wireless networks, which we term random access transport capacity, since the
interference model presumes uncoordinated transmissions. The metric quantifies
the average maximum rate of successful end-to-end transmissions, multiplied by
the commu... | [
{
"created": "Mon, 28 Sep 2009 16:34:00 GMT",
"version": "v1"
}
] | 2016-11-18 | [
[
"Andrews",
"Jeffrey G.",
""
],
[
"Weber",
"Steven",
""
],
[
"Kountouris",
"Marios",
""
],
[
"Haenggi",
"Martin",
""
]
] | We develop a new metric for quantifying end-to-end throughput in multihop wireless networks, which we term random access transport capacity, since the interference model presumes uncoordinated transmissions. The metric quantifies the average maximum rate of successful end-to-end transmissions, multiplied by the communi... |
2202.02294 | Yue Cao | Yue Cao, Fatemeh H. Fard | Pre-Trained Neural Language Models for Automatic Mobile App User
Feedback Answer Generation | 6 pages, published in the 2021 ASE RAISE workshop | null | null | null | cs.CL cs.LG cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Studies show that developers' answers to the mobile app users' feedbacks on
app stores can increase the apps' star rating. To help app developers generate
answers that are related to the users' issues, recent studies develop models to
generate the answers automatically. Aims: The app response generation models
use de... | [
{
"created": "Fri, 4 Feb 2022 18:26:55 GMT",
"version": "v1"
}
] | 2022-02-07 | [
[
"Cao",
"Yue",
""
],
[
"Fard",
"Fatemeh H.",
""
]
] | Studies show that developers' answers to the mobile app users' feedbacks on app stores can increase the apps' star rating. To help app developers generate answers that are related to the users' issues, recent studies develop models to generate the answers automatically. Aims: The app response generation models use deep... |
2408.04142 | Ruben Castro Ornelas | Rub\'en Castro Ornelas, Tom\'as Cant\'u, Isabel Sperandio, Alexander
H. Slocum, and Pulkit Agrawal | Everyday Finger: A Robotic Finger that Meets the Needs of Everyday
Interactive Manipulation | 9.5 pages + references, 14 figures, extended/updated version of
article to appear in IEEE ICRA 2024 proceedings | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We provide the mechanical and dynamical requirements for a robotic finger
capable of performing thirty diverse everyday tasks. To match these
requirements, we present a finger design based on series-elastic actuation that
we call the everyday finger. Our focus is to make the fingers as compact as
possible while achie... | [
{
"created": "Thu, 8 Aug 2024 01:00:45 GMT",
"version": "v1"
}
] | 2024-08-09 | [
[
"Ornelas",
"Rubén Castro",
""
],
[
"Cantú",
"Tomás",
""
],
[
"Sperandio",
"Isabel",
""
],
[
"Slocum",
"Alexander H.",
""
],
[
"Agrawal",
"Pulkit",
""
]
] | We provide the mechanical and dynamical requirements for a robotic finger capable of performing thirty diverse everyday tasks. To match these requirements, we present a finger design based on series-elastic actuation that we call the everyday finger. Our focus is to make the fingers as compact as possible while achievi... |
1303.6867 | Bang Ye Wu | Bang Ye Wu and Li-Hsuan Chen | Parameterized algorithms for the 2-clustering problem with minimum sum
and minimum sum of squares objective functions | journal version | null | 10.1007/s00453-014-9874-8 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the {\sc Min-Sum 2-Clustering} problem, we are given a graph and a
parameter $k$, and the goal is to determine if there exists a 2-partition of
the vertex set such that the total conflict number is at most $k$, where the
conflict number of a vertex is the number of its non-neighbors in the same
cluster and neighbo... | [
{
"created": "Wed, 27 Mar 2013 15:57:58 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Feb 2014 04:35:17 GMT",
"version": "v2"
}
] | 2014-04-11 | [
[
"Wu",
"Bang Ye",
""
],
[
"Chen",
"Li-Hsuan",
""
]
] | In the {\sc Min-Sum 2-Clustering} problem, we are given a graph and a parameter $k$, and the goal is to determine if there exists a 2-partition of the vertex set such that the total conflict number is at most $k$, where the conflict number of a vertex is the number of its non-neighbors in the same cluster and neighbors... |
2309.13216 | Aadhar Chauhan | Aadhar Chauhan, Isaac Remy, Danny Broyles, and Karen Leung | MISFIT-V: Misaligned Image Synthesis and Fusion using Information from
Thermal and Visual | null | null | null | null | cs.CV cs.AI cs.HC cs.RO | http://creativecommons.org/licenses/by-sa/4.0/ | Detecting humans from airborne visual and thermal imagery is a fundamental
challenge for Wilderness Search-and-Rescue (WiSAR) teams, who must perform this
function accurately in the face of immense pressure. The ability to fuse these
two sensor modalities can potentially reduce the cognitive load on human
operators a... | [
{
"created": "Fri, 22 Sep 2023 23:41:24 GMT",
"version": "v1"
}
] | 2023-09-26 | [
[
"Chauhan",
"Aadhar",
""
],
[
"Remy",
"Isaac",
""
],
[
"Broyles",
"Danny",
""
],
[
"Leung",
"Karen",
""
]
] | Detecting humans from airborne visual and thermal imagery is a fundamental challenge for Wilderness Search-and-Rescue (WiSAR) teams, who must perform this function accurately in the face of immense pressure. The ability to fuse these two sensor modalities can potentially reduce the cognitive load on human operators and... |
0802.2862 | Pascal Weil | Dietrich Kuske | Compatibility of Shelah and Stupp's and Muchnik's iteration with
fragments of monadic second order logic | null | Dans Proceedings of the 25th Annual Symposium on the Theoretical
Aspects of Computer Science - STACS 2008, Bordeaux : France (2008) | null | null | cs.LO | null | We investigate the relation between the theory of the iterations in the sense
of Shelah-Stupp and of Muchnik, resp., and the theory of the base structure for
several logics. These logics are obtained from the restriction of set
quantification in monadic second order logic to certain subsets like, e.g.,
finite sets, c... | [
{
"created": "Wed, 20 Feb 2008 14:33:04 GMT",
"version": "v1"
}
] | 2008-02-21 | [
[
"Kuske",
"Dietrich",
""
]
] | We investigate the relation between the theory of the iterations in the sense of Shelah-Stupp and of Muchnik, resp., and the theory of the base structure for several logics. These logics are obtained from the restriction of set quantification in monadic second order logic to certain subsets like, e.g., finite sets, cha... |
2002.11614 | Adrian Korban | Steven T. Dougherty, Joe Gildea, Adrian Korban and Abidin Kaya | Composite Matrices from Group Rings, Composite G-Codes and Constructions
of Self-Dual Codes | 33 pages | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we define composite matrices which are derived from group
rings. We extend the idea of G-codes to composite G-codes. We show that these
codes are ideals in a group ring, where the ring is a finite commutative
Frobenius ring and G is an arbitrary finite group. We prove that the dual of a
composite G-code... | [
{
"created": "Wed, 26 Feb 2020 16:55:46 GMT",
"version": "v1"
}
] | 2020-02-27 | [
[
"Dougherty",
"Steven T.",
""
],
[
"Gildea",
"Joe",
""
],
[
"Korban",
"Adrian",
""
],
[
"Kaya",
"Abidin",
""
]
] | In this work, we define composite matrices which are derived from group rings. We extend the idea of G-codes to composite G-codes. We show that these codes are ideals in a group ring, where the ring is a finite commutative Frobenius ring and G is an arbitrary finite group. We prove that the dual of a composite G-code i... |
2405.21044 | Houston Claure | Houston Claure | Designing for Fairness in Human-Robot Interactions | null | null | null | null | cs.RO cs.HC | http://creativecommons.org/licenses/by/4.0/ | The foundation of successful human collaboration is deeply rooted in the
principles of fairness. As robots are increasingly prevalent in various parts
of society where they are working alongside groups and teams of humans, their
ability to understand and act according to principles of fairness becomes
crucial for the... | [
{
"created": "Fri, 31 May 2024 17:38:19 GMT",
"version": "v1"
}
] | 2024-06-03 | [
[
"Claure",
"Houston",
""
]
] | The foundation of successful human collaboration is deeply rooted in the principles of fairness. As robots are increasingly prevalent in various parts of society where they are working alongside groups and teams of humans, their ability to understand and act according to principles of fairness becomes crucial for their... |
2008.10150 | Daniel Hsu | Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu | Contrastive learning, multi-view redundancy, and linear models | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-supervised learning is an empirically successful approach to
unsupervised learning based on creating artificial supervised learning
problems. A popular self-supervised approach to representation learning is
contrastive learning, which leverages naturally occurring pairs of similar and
dissimilar data points, or ... | [
{
"created": "Mon, 24 Aug 2020 01:31:47 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Apr 2021 19:19:55 GMT",
"version": "v2"
}
] | 2021-04-16 | [
[
"Tosh",
"Christopher",
""
],
[
"Krishnamurthy",
"Akshay",
""
],
[
"Hsu",
"Daniel",
""
]
] | Self-supervised learning is an empirically successful approach to unsupervised learning based on creating artificial supervised learning problems. A popular self-supervised approach to representation learning is contrastive learning, which leverages naturally occurring pairs of similar and dissimilar data points, or mu... |
2404.02696 | Behrooz Razeghi | Behrooz Razeghi, Parsa Rahimi, S\'ebastien Marcel | Deep Privacy Funnel Model: From a Discriminative to a Generative
Approach with an Application to Face Recognition | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this study, we apply the information-theoretic Privacy Funnel (PF) model
to the domain of face recognition, developing a novel method for
privacy-preserving representation learning within an end-to-end training
framework. Our approach addresses the trade-off between obfuscation and utility
in data protection, quan... | [
{
"created": "Wed, 3 Apr 2024 12:50:45 GMT",
"version": "v1"
}
] | 2024-04-04 | [
[
"Razeghi",
"Behrooz",
""
],
[
"Rahimi",
"Parsa",
""
],
[
"Marcel",
"Sébastien",
""
]
] | In this study, we apply the information-theoretic Privacy Funnel (PF) model to the domain of face recognition, developing a novel method for privacy-preserving representation learning within an end-to-end training framework. Our approach addresses the trade-off between obfuscation and utility in data protection, quanti... |
1904.02461 | Inigo Jauregi Unanue | Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Nazanin Esmaili, Massimo
Piccardi | ReWE: Regressing Word Embeddings for Regularization of Neural Machine
Translation Systems | Accepted at NAACL-HLT 2019 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Regularization of neural machine translation is still a significant problem,
especially in low-resource settings. To mollify this problem, we propose
regressing word embeddings (ReWE) as a new regularization technique in a system
that is jointly trained to predict the next word in the translation
(categorical value) ... | [
{
"created": "Thu, 4 Apr 2019 10:30:52 GMT",
"version": "v1"
}
] | 2019-04-05 | [
[
"Unanue",
"Inigo Jauregi",
""
],
[
"Borzeshi",
"Ehsan Zare",
""
],
[
"Esmaili",
"Nazanin",
""
],
[
"Piccardi",
"Massimo",
""
]
] | Regularization of neural machine translation is still a significant problem, especially in low-resource settings. To mollify this problem, we propose regressing word embeddings (ReWE) as a new regularization technique in a system that is jointly trained to predict the next word in the translation (categorical value) an... |
2307.00618 | Leonard Papenmeier | Leonard Papenmeier, Luigi Nardi, Matthias Poloczek | Bounce: Reliable High-Dimensional Bayesian Optimization for
Combinatorial and Mixed Spaces | 30 pages, 22 figures | Advances in Neural Information Processing Systems 36 (NeurIPS
2023) | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Impactful applications such as materials discovery, hardware design, neural
architecture search, or portfolio optimization require optimizing
high-dimensional black-box functions with mixed and combinatorial input spaces.
While Bayesian optimization has recently made significant progress in solving
such problems, an ... | [
{
"created": "Sun, 2 Jul 2023 17:18:17 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Mar 2024 15:17:43 GMT",
"version": "v2"
}
] | 2024-03-21 | [
[
"Papenmeier",
"Leonard",
""
],
[
"Nardi",
"Luigi",
""
],
[
"Poloczek",
"Matthias",
""
]
] | Impactful applications such as materials discovery, hardware design, neural architecture search, or portfolio optimization require optimizing high-dimensional black-box functions with mixed and combinatorial input spaces. While Bayesian optimization has recently made significant progress in solving such problems, an in... |
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