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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2309.02317 | Yuxiang Guo | Yuxiang Guo, Xiaopeng Gao, Zhenyu Zhang, W.K.Chan and Bo Jiang | A study on the impact of pre-trained model on Just-In-Time defect
prediction | Accepted by QRS2023 | null | null | null | cs.SE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Previous researchers conducting Just-In-Time (JIT) defect prediction tasks
have primarily focused on the performance of individual pre-trained models,
without exploring the relationship between different pre-trained models as
backbones. In this study, we build six models: RoBERTaJIT, CodeBERTJIT,
BARTJIT, PLBARTJIT, ... | [
{
"created": "Tue, 5 Sep 2023 15:34:22 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Nov 2023 06:19:01 GMT",
"version": "v2"
}
] | 2023-11-27 | [
[
"Guo",
"Yuxiang",
""
],
[
"Gao",
"Xiaopeng",
""
],
[
"Zhang",
"Zhenyu",
""
],
[
"Chan",
"W. K.",
""
],
[
"Jiang",
"Bo",
""
]
] | Previous researchers conducting Just-In-Time (JIT) defect prediction tasks have primarily focused on the performance of individual pre-trained models, without exploring the relationship between different pre-trained models as backbones. In this study, we build six models: RoBERTaJIT, CodeBERTJIT, BARTJIT, PLBARTJIT, GP... |
1804.04647 | Yigit Baran Can | Yigit Baran Can, Radu Timofte | An efficient CNN for spectral reconstruction from RGB images | Submitted to ICIP 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, the example-based single image spectral reconstruction from RGB
images task, aka, spectral super-resolution was approached by means of deep
learning by Galliani et al. The proposed very deep convolutional neural network
(CNN) achieved superior performance on recent large benchmarks. However,
Aeschbacher et ... | [
{
"created": "Thu, 12 Apr 2018 17:48:05 GMT",
"version": "v1"
}
] | 2018-04-13 | [
[
"Can",
"Yigit Baran",
""
],
[
"Timofte",
"Radu",
""
]
] | Recently, the example-based single image spectral reconstruction from RGB images task, aka, spectral super-resolution was approached by means of deep learning by Galliani et al. The proposed very deep convolutional neural network (CNN) achieved superior performance on recent large benchmarks. However, Aeschbacher et al... |
1802.09307 | Konrad Hinsen | Konrad Hinsen | Digital Scientific Notations as a Human-Computer Interface in
Computer-Aided Research | null | null | 10.7717/peerj-cs.158 | null | cs.HC cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most of today's scientific research relies on computers and software not only
for administrational tasks, but also for processing scientific information.
Examples of such computer-aided research are the analysis of experimental data
or the simulation of phenomena based on theoretical models. With the rapid
increase o... | [
{
"created": "Thu, 22 Feb 2018 15:51:43 GMT",
"version": "v1"
}
] | 2018-08-06 | [
[
"Hinsen",
"Konrad",
""
]
] | Most of today's scientific research relies on computers and software not only for administrational tasks, but also for processing scientific information. Examples of such computer-aided research are the analysis of experimental data or the simulation of phenomena based on theoretical models. With the rapid increase of ... |
2211.13962 | Rasoul Nikbakht Silab | Rasoul Nikbakht, Sarang Kahvazadeh, Josep Mangues-Bafalluy | Video on Demand Streaming Using RL-based Edge Caching in 5G Networks | 3 pages, 1 figure One page version of this paper has been accepted to
2022 IEEE Conference on Standards for Communications and Networking (CSCN) -
Demo submissions | null | null | null | cs.NI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Edge caching can significantly improve the 5G networks' performance both in
terms of delay and backhaul traffic. We use a reinforcement learning-based
(RL-based) caching technique that can adapt to time-location-dependent
popularity patterns for on-demand video contents. In a private 5G, we implement
the proposed cac... | [
{
"created": "Fri, 25 Nov 2022 09:11:01 GMT",
"version": "v1"
}
] | 2022-11-28 | [
[
"Nikbakht",
"Rasoul",
""
],
[
"Kahvazadeh",
"Sarang",
""
],
[
"Mangues-Bafalluy",
"Josep",
""
]
] | Edge caching can significantly improve the 5G networks' performance both in terms of delay and backhaul traffic. We use a reinforcement learning-based (RL-based) caching technique that can adapt to time-location-dependent popularity patterns for on-demand video contents. In a private 5G, we implement the proposed cachi... |
2306.07695 | Evangelos Bitsikas | Evangelos Bitsikas, Theodor Schnitzler, Christina P\"opper, Aanjhan
Ranganathan | Freaky Leaky SMS: Extracting User Locations by Analyzing SMS Timings | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Short Message Service (SMS) remains one of the most popular communication
channels since its introduction in 2G cellular networks. In this paper, we
demonstrate that merely receiving silent SMS messages regularly opens a
stealthy side-channel that allows other regular network users to infer the
whereabouts of the SMS... | [
{
"created": "Tue, 13 Jun 2023 11:20:18 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Jun 2023 08:36:18 GMT",
"version": "v2"
}
] | 2023-06-16 | [
[
"Bitsikas",
"Evangelos",
""
],
[
"Schnitzler",
"Theodor",
""
],
[
"Pöpper",
"Christina",
""
],
[
"Ranganathan",
"Aanjhan",
""
]
] | Short Message Service (SMS) remains one of the most popular communication channels since its introduction in 2G cellular networks. In this paper, we demonstrate that merely receiving silent SMS messages regularly opens a stealthy side-channel that allows other regular network users to infer the whereabouts of the SMS r... |
1906.09108 | Huiping Zhuang | Huiping Zhuang, Yi Wang, Qinglai Liu, Shuai Zhang, Zhiping Lin | Fully Decoupled Neural Network Learning Using Delayed Gradients | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training neural networks with back-propagation (BP) requires a sequential
passing of activations and gradients, which forces the network modules to work
in a synchronous fashion. This has been recognized as the lockings (i.e., the
forward, backward and update lockings) inherited from the BP. In this paper, we
propose... | [
{
"created": "Fri, 21 Jun 2019 13:02:35 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Sep 2019 11:18:32 GMT",
"version": "v2"
},
{
"created": "Fri, 22 Nov 2019 07:01:47 GMT",
"version": "v3"
}
] | 2019-11-25 | [
[
"Zhuang",
"Huiping",
""
],
[
"Wang",
"Yi",
""
],
[
"Liu",
"Qinglai",
""
],
[
"Zhang",
"Shuai",
""
],
[
"Lin",
"Zhiping",
""
]
] | Training neural networks with back-propagation (BP) requires a sequential passing of activations and gradients, which forces the network modules to work in a synchronous fashion. This has been recognized as the lockings (i.e., the forward, backward and update lockings) inherited from the BP. In this paper, we propose a... |
2309.01736 | Yuze Li | Yuze Li, Shunyu Yao | Understanding and Optimizing Serverless Workloads in CXL-Enabled Tiered
Memory | This paper will be part of my under-going research, thus me and my
advisor agreed on to withdraw this pre-print for now, until the final project
is finished | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | Recent Serverless workloads tend to be largescaled/CPU-memory intensive, such
as DL, graph applications, that require dynamic memory-to-compute resources
provisioning.
Meanwhile, recent solutions seek to design page management strategies for
multi-tiered memory systems, to efficiently run heavy workloads. Compute
E... | [
{
"created": "Mon, 4 Sep 2023 17:40:03 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Sep 2023 18:08:05 GMT",
"version": "v2"
}
] | 2023-09-26 | [
[
"Li",
"Yuze",
""
],
[
"Yao",
"Shunyu",
""
]
] | Recent Serverless workloads tend to be largescaled/CPU-memory intensive, such as DL, graph applications, that require dynamic memory-to-compute resources provisioning. Meanwhile, recent solutions seek to design page management strategies for multi-tiered memory systems, to efficiently run heavy workloads. Compute Expre... |
1308.2188 | Li Zhu | Hongwei Wang, F. Richard Yu, Li Zhu, Tao Tang, and Bin Ning | Finite-State Markov Modeling of Leaky Waveguide Channels in
Communication-based Train Control (CBTC) Systems | 3 pages, 4 figures, letter. arXiv admin note: text overlap with
arXiv:1307.7807 | null | null | null | cs.DM cs.IT math.IT | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Leaky waveguide has been adopted in communication based train control (CBTC)
systems, as it can significantly enhance railway network efficiency, safety and
capacity. Since CBTC systems have high requirements for the train ground
communications, modeling the leaky waveguide channels is very important to
design the wi... | [
{
"created": "Tue, 30 Jul 2013 04:33:07 GMT",
"version": "v1"
}
] | 2013-08-12 | [
[
"Wang",
"Hongwei",
""
],
[
"Yu",
"F. Richard",
""
],
[
"Zhu",
"Li",
""
],
[
"Tang",
"Tao",
""
],
[
"Ning",
"Bin",
""
]
] | Leaky waveguide has been adopted in communication based train control (CBTC) systems, as it can significantly enhance railway network efficiency, safety and capacity. Since CBTC systems have high requirements for the train ground communications, modeling the leaky waveguide channels is very important to design the wire... |
1508.02705 | Ioannis Filippidis | Ioannis Filippidis and Richard M. Murray | Symbolic construction of GR(1) contracts for synchronous systems with
full information | null | null | null | null | cs.LO cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work proposes a symbolic algorithm for the construction of
assume-guarantee specifications that allow multiple agents to cooperate. Each
agent is assigned goals expressed in a fragment of linear temporal logic known
as generalized reactivity of rank 1 (GR(1)). These goals may be unrealizable,
unless additional a... | [
{
"created": "Tue, 11 Aug 2015 19:53:14 GMT",
"version": "v1"
}
] | 2015-08-12 | [
[
"Filippidis",
"Ioannis",
""
],
[
"Murray",
"Richard M.",
""
]
] | This work proposes a symbolic algorithm for the construction of assume-guarantee specifications that allow multiple agents to cooperate. Each agent is assigned goals expressed in a fragment of linear temporal logic known as generalized reactivity of rank 1 (GR(1)). These goals may be unrealizable, unless additional ass... |
2112.10664 | Ankit Anand | Eser Ayg\"un, Laurent Orseau, Ankit Anand, Xavier Glorot, Vlad Firoiu,
Lei M. Zhang, Doina Precup and Shibl Mourad | Proving Theorems using Incremental Learning and Hindsight Experience
Replay | 16 pages, 2 figures | null | null | null | cs.AI cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional automated theorem provers for first-order logic depend on
speed-optimized search and many handcrafted heuristics that are designed to
work best over a wide range of domains. Machine learning approaches in
literature either depend on these traditional provers to bootstrap themselves
or fall short on reachi... | [
{
"created": "Mon, 20 Dec 2021 16:40:26 GMT",
"version": "v1"
}
] | 2021-12-21 | [
[
"Aygün",
"Eser",
""
],
[
"Orseau",
"Laurent",
""
],
[
"Anand",
"Ankit",
""
],
[
"Glorot",
"Xavier",
""
],
[
"Firoiu",
"Vlad",
""
],
[
"Zhang",
"Lei M.",
""
],
[
"Precup",
"Doina",
""
],
[
"Mourad",
... | Traditional automated theorem provers for first-order logic depend on speed-optimized search and many handcrafted heuristics that are designed to work best over a wide range of domains. Machine learning approaches in literature either depend on these traditional provers to bootstrap themselves or fall short on reaching... |
1811.08677 | Zuogong Yue | Zuogong Yue, Johan Thunberg, Lennart Ljung and Jorge Goncalves | A state-space approach to sparse dynamic network reconstruction | 7 pages; preprint for CDC 2018 review | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dynamic network reconstruction has been shown to be challenging due to the
requirements on sparse network structures and network identifiability. The
direct parametric method (e.g., using ARX models) requires a large amount of
parameters in model selection. Amongst the parametric models, only a restricted
class can e... | [
{
"created": "Wed, 21 Nov 2018 10:52:57 GMT",
"version": "v1"
}
] | 2018-11-22 | [
[
"Yue",
"Zuogong",
""
],
[
"Thunberg",
"Johan",
""
],
[
"Ljung",
"Lennart",
""
],
[
"Goncalves",
"Jorge",
""
]
] | Dynamic network reconstruction has been shown to be challenging due to the requirements on sparse network structures and network identifiability. The direct parametric method (e.g., using ARX models) requires a large amount of parameters in model selection. Amongst the parametric models, only a restricted class can eas... |
2112.01741 | Matan Atzmon | Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman | Frame Averaging for Equivariant Shape Space Learning | Accepted to CVPR 2022 | null | null | null | cs.CV cs.GR cs.LG | http://creativecommons.org/licenses/by/4.0/ | The task of shape space learning involves mapping a train set of shapes to
and from a latent representation space with good generalization properties.
Often, real-world collections of shapes have symmetries, which can be defined
as transformations that do not change the essence of the shape. A natural way
to incorpor... | [
{
"created": "Fri, 3 Dec 2021 06:41:19 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Aug 2022 19:52:20 GMT",
"version": "v2"
}
] | 2022-08-30 | [
[
"Atzmon",
"Matan",
""
],
[
"Nagano",
"Koki",
""
],
[
"Fidler",
"Sanja",
""
],
[
"Khamis",
"Sameh",
""
],
[
"Lipman",
"Yaron",
""
]
] | The task of shape space learning involves mapping a train set of shapes to and from a latent representation space with good generalization properties. Often, real-world collections of shapes have symmetries, which can be defined as transformations that do not change the essence of the shape. A natural way to incorporat... |
2010.10039 | Dingwen Tao | Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen
Tao, Franck Cappello | Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU
Architectures | 11 pages, 3 figures, 6 tables, published by IEEE IPDPS'21 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Today's high-performance computing (HPC) applications are producing vast
volumes of data, which are challenging to store and transfer efficiently during
the execution, such that data compression is becoming a critical technique to
mitigate the storage burden and data movement cost. Huffman coding is arguably
the most... | [
{
"created": "Tue, 20 Oct 2020 05:21:55 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Mar 2021 16:11:20 GMT",
"version": "v2"
}
] | 2021-03-02 | [
[
"Tian",
"Jiannan",
""
],
[
"Rivera",
"Cody",
""
],
[
"Di",
"Sheng",
""
],
[
"Chen",
"Jieyang",
""
],
[
"Liang",
"Xin",
""
],
[
"Tao",
"Dingwen",
""
],
[
"Cappello",
"Franck",
""
]
] | Today's high-performance computing (HPC) applications are producing vast volumes of data, which are challenging to store and transfer efficiently during the execution, such that data compression is becoming a critical technique to mitigate the storage burden and data movement cost. Huffman coding is arguably the most e... |
2205.01959 | Mingsheng Ying | Mingsheng Ying | Birkhoff-von Neumann Quantum Logic as an Assertion Language for Quantum
Programs | null | null | null | null | cs.LO cs.PL quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A first-order logic with quantum variables is needed as an assertion language
for specifying and reasoning about various properties (e.g. correctness) of
quantum programs. Surprisingly, such a logic is missing in the literature, and
the existing first-order Birkhoff-von Neumann quantum logic deals with only
classical... | [
{
"created": "Wed, 4 May 2022 08:57:44 GMT",
"version": "v1"
}
] | 2022-05-06 | [
[
"Ying",
"Mingsheng",
""
]
] | A first-order logic with quantum variables is needed as an assertion language for specifying and reasoning about various properties (e.g. correctness) of quantum programs. Surprisingly, such a logic is missing in the literature, and the existing first-order Birkhoff-von Neumann quantum logic deals with only classical v... |
2406.13824 | Aleksandr Kazachkov | Connor Johnston, Aleksandr M. Kazachkov | Symmetrically Fair Allocations of Indivisible Goods | null | null | null | null | cs.GT math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider allocating indivisible goods with provable fairness guarantees
that are satisfied regardless of which bundle of items each agent receives.
Symmetrical allocations of this type are known to exist for divisible
resources, such as consensus splitting of a cake into parts, each having equal
value for all agen... | [
{
"created": "Wed, 19 Jun 2024 20:34:08 GMT",
"version": "v1"
}
] | 2024-06-21 | [
[
"Johnston",
"Connor",
""
],
[
"Kazachkov",
"Aleksandr M.",
""
]
] | We consider allocating indivisible goods with provable fairness guarantees that are satisfied regardless of which bundle of items each agent receives. Symmetrical allocations of this type are known to exist for divisible resources, such as consensus splitting of a cake into parts, each having equal value for all agents... |
2312.08872 | Jiafeng Mao | Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa | The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven
Initialization | ECCV 2024 Accepted | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Text-to-image diffusion models allow users control over the content of
generated images. Still, text-to-image generation occasionally leads to
generation failure requiring users to generate dozens of images under the same
text prompt before they obtain a satisfying result. We formulate the lottery
ticket hypothesis i... | [
{
"created": "Wed, 13 Dec 2023 03:31:19 GMT",
"version": "v1"
},
{
"created": "Sun, 10 Mar 2024 02:08:31 GMT",
"version": "v2"
},
{
"created": "Sun, 14 Jul 2024 14:06:47 GMT",
"version": "v3"
}
] | 2024-07-16 | [
[
"Mao",
"Jiafeng",
""
],
[
"Wang",
"Xueting",
""
],
[
"Aizawa",
"Kiyoharu",
""
]
] | Text-to-image diffusion models allow users control over the content of generated images. Still, text-to-image generation occasionally leads to generation failure requiring users to generate dozens of images under the same text prompt before they obtain a satisfying result. We formulate the lottery ticket hypothesis in ... |
1407.4017 | Dyonisius Dony Ariananda | Dyonisius Dony Ariananda, Daniel Romero, and Geert Leus | Compressive Periodogram Reconstruction Using Uniform Binning | Submitted to IEEE Transactions on Signal Processing | null | 10.1109/TSP.2015.2430838 | null | cs.OH math.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, two problems that show great similarities are examined. The
first problem is the reconstruction of the angular-domain periodogram from
spatial-domain signals received at different time indices. The second one is
the reconstruction of the frequency-domain periodogram from time-domain signals
received at... | [
{
"created": "Wed, 9 Jul 2014 16:40:57 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Dec 2014 15:50:35 GMT",
"version": "v2"
}
] | 2016-11-17 | [
[
"Ariananda",
"Dyonisius Dony",
""
],
[
"Romero",
"Daniel",
""
],
[
"Leus",
"Geert",
""
]
] | In this paper, two problems that show great similarities are examined. The first problem is the reconstruction of the angular-domain periodogram from spatial-domain signals received at different time indices. The second one is the reconstruction of the frequency-domain periodogram from time-domain signals received at d... |
2306.07968 | Gyungin Shin | Gyungin Shin, Weidi Xie, Samuel Albanie | arXiVeri: Automatic table verification with GPT | Tech report | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Without accurate transcription of numerical data in scientific documents, a
scientist cannot draw accurate conclusions. Unfortunately, the process of
copying numerical data from one paper to another is prone to human error. In
this paper, we propose to meet this challenge through the novel task of
automatic table ver... | [
{
"created": "Tue, 13 Jun 2023 17:59:57 GMT",
"version": "v1"
}
] | 2023-06-14 | [
[
"Shin",
"Gyungin",
""
],
[
"Xie",
"Weidi",
""
],
[
"Albanie",
"Samuel",
""
]
] | Without accurate transcription of numerical data in scientific documents, a scientist cannot draw accurate conclusions. Unfortunately, the process of copying numerical data from one paper to another is prone to human error. In this paper, we propose to meet this challenge through the novel task of automatic table verif... |
1809.05833 | Kyudong Park | Kyudong Park, Dohyeon Kim, Sung H. Han | Usability of the Size, Spacing, and Depth of Virtual Buttons on
Head-Mounted Displays | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Virtual reality (VR) allows users to see and manipulate virtual scenes and
items through input devices, like head-mounted displays. In this study, the
effects of button size, spacing, and depth on the usability of virtual buttons
in VR environments were investigated. Task completion time, number of errors,
and subjec... | [
{
"created": "Sun, 16 Sep 2018 08:01:11 GMT",
"version": "v1"
}
] | 2018-09-18 | [
[
"Park",
"Kyudong",
""
],
[
"Kim",
"Dohyeon",
""
],
[
"Han",
"Sung H.",
""
]
] | Virtual reality (VR) allows users to see and manipulate virtual scenes and items through input devices, like head-mounted displays. In this study, the effects of button size, spacing, and depth on the usability of virtual buttons in VR environments were investigated. Task completion time, number of errors, and subjecti... |
1402.2425 | Bei Yu | Bei Yu and Jhih-Rong Gao and David Z. Pan | Triple Patterning Lithography (TPL) Layout Decomposition using
End-Cutting | null | null | 10.1117/12.2011355 | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Triple patterning lithography (TPL) is one of the most promising techniques
in the 14nm logic node and beyond. However, traditional LELELE type TPL
technology suffers from native conflict and overlapping problems. Recently
LELEEC process was proposed to overcome the limitations, where the third mask
is used to genera... | [
{
"created": "Tue, 11 Feb 2014 10:26:20 GMT",
"version": "v1"
}
] | 2014-02-12 | [
[
"Yu",
"Bei",
""
],
[
"Gao",
"Jhih-Rong",
""
],
[
"Pan",
"David Z.",
""
]
] | Triple patterning lithography (TPL) is one of the most promising techniques in the 14nm logic node and beyond. However, traditional LELELE type TPL technology suffers from native conflict and overlapping problems. Recently LELEEC process was proposed to overcome the limitations, where the third mask is used to generate... |
2301.12382 | Maolin Yang | Maolin Yang, Pingyu Jiang, Tianshuo Zang, Yuhao Liu | Data-driven intelligent computational design for products: Method,
techniques, and applications | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data-driven intelligent computational design (DICD) is a research hotspot
emerged under the context of fast-developing artificial intelligence. It
emphasizes on utilizing deep learning algorithms to extract and represent the
design features hidden in historical or fabricated design process data, and
then learn the co... | [
{
"created": "Sun, 29 Jan 2023 07:17:46 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Apr 2023 07:19:31 GMT",
"version": "v2"
}
] | 2023-04-12 | [
[
"Yang",
"Maolin",
""
],
[
"Jiang",
"Pingyu",
""
],
[
"Zang",
"Tianshuo",
""
],
[
"Liu",
"Yuhao",
""
]
] | Data-driven intelligent computational design (DICD) is a research hotspot emerged under the context of fast-developing artificial intelligence. It emphasizes on utilizing deep learning algorithms to extract and represent the design features hidden in historical or fabricated design process data, and then learn the comb... |
2009.13761 | EPTCS | David M. Russinoff (Arm) | Formal Verification of Arithmetic RTL: Translating Verilog to C++ to
ACL2 | In Proceedings ACL2 2020, arXiv:2009.12521 | EPTCS 327, 2020, pp. 1-15 | 10.4204/EPTCS.327.1 | null | cs.LO cs.SC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a methodology for formal verification of arithmetic RTL designs
that combines sequential logic equivalence checking with interactive theorem
proving. An intermediate model of a Verilog module is hand-coded in Restricted
Algorithmic C (RAC), a primitive subset of C augmented by the integer and
fixed-point r... | [
{
"created": "Tue, 29 Sep 2020 04:09:53 GMT",
"version": "v1"
}
] | 2020-09-30 | [
[
"Russinoff",
"David M.",
"",
"Arm"
]
] | We present a methodology for formal verification of arithmetic RTL designs that combines sequential logic equivalence checking with interactive theorem proving. An intermediate model of a Verilog module is hand-coded in Restricted Algorithmic C (RAC), a primitive subset of C augmented by the integer and fixed-point reg... |
2202.03270 | Biruk Asmare Muse | Biruk Asmare Muse and Foutse Khomh and Giuliano Antoniol | Do Developers Refactor Data Access Code? An Empirical Study | 29th IEEE International Conference on Software Analysis, Evolution
and Reengineering | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Developers often refactor code to improve the maintainability and
comprehension of the software. There are many studies on refactoring activities
in traditional software systems. However, refactoring in data-intensive systems
is not well explored. Understanding the refactoring practices of developers is
important to ... | [
{
"created": "Mon, 7 Feb 2022 15:06:26 GMT",
"version": "v1"
}
] | 2022-02-08 | [
[
"Muse",
"Biruk Asmare",
""
],
[
"Khomh",
"Foutse",
""
],
[
"Antoniol",
"Giuliano",
""
]
] | Developers often refactor code to improve the maintainability and comprehension of the software. There are many studies on refactoring activities in traditional software systems. However, refactoring in data-intensive systems is not well explored. Understanding the refactoring practices of developers is important to de... |
2102.04707 | Nikolas M\"ahlmann | Nikolas M\"ahlmann, Sebastian Siebertz, Alexandre Vigny | Recursive Backdoors for SAT | null | null | null | null | cs.DS cs.DM cs.LO | http://creativecommons.org/licenses/by/4.0/ | A strong backdoor in a formula $\phi$ of propositional logic to a tractable
class $\mathcal{C}$ of formulas is a set $B$ of variables of $\phi$ such that
every assignment of the variables in $B$ results in a formula from
$\mathcal{C}$. Strong backdoors of small size or with a good structure, e.g.
with small backdoor ... | [
{
"created": "Tue, 9 Feb 2021 08:53:57 GMT",
"version": "v1"
}
] | 2021-02-10 | [
[
"Mählmann",
"Nikolas",
""
],
[
"Siebertz",
"Sebastian",
""
],
[
"Vigny",
"Alexandre",
""
]
] | A strong backdoor in a formula $\phi$ of propositional logic to a tractable class $\mathcal{C}$ of formulas is a set $B$ of variables of $\phi$ such that every assignment of the variables in $B$ results in a formula from $\mathcal{C}$. Strong backdoors of small size or with a good structure, e.g. with small backdoor tr... |
1502.06577 | Theodore Book | Theodore Book and Dan S. Wallach | An Empirical Study of Mobile Ad Targeting | Submitted to USENIX Security 2015 | null | null | null | cs.CR cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advertising, long the financial mainstay of the web ecosystem, has become
nearly ubiquitous in the world of mobile apps. While ad targeting on the web is
fairly well understood, mobile ad targeting is much less studied. In this
paper, we use empirical methods to collect a database of over 225,000 ads on 32
simulated ... | [
{
"created": "Mon, 23 Feb 2015 20:12:54 GMT",
"version": "v1"
}
] | 2015-02-24 | [
[
"Book",
"Theodore",
""
],
[
"Wallach",
"Dan S.",
""
]
] | Advertising, long the financial mainstay of the web ecosystem, has become nearly ubiquitous in the world of mobile apps. While ad targeting on the web is fairly well understood, mobile ad targeting is much less studied. In this paper, we use empirical methods to collect a database of over 225,000 ads on 32 simulated de... |
2010.12038 | Mohammad Arani | Miguel Baritto, Md Mashum Billal, S. M. Muntasir Nasim, Rumana Afroz
Sultana, Mohammad Arani, Ahmed Jawad Qureshi | Supporting Tool for The Transition of Existing Small and Medium
Enterprises Towards Industry 4.0 | This paper is accepted by the "International Conference on Data
Analytics for Business and Industry", and it will be published by IEEE
Xplore. (http://data20.uob.edu.bh/) | null | null | null | cs.CY econ.GN q-fin.EC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rapid growth of Industry 4.0 technologies such as big data, cloud
computing, smart sensors, machine learning (ML), radio-frequency identification
(RFID), robotics, 3D-printing, and Internet of Things (IoT) offers Small and
Medium Enterprises (SMEs) the chance to improve productivity and efficiency,
reduce cost an... | [
{
"created": "Thu, 15 Oct 2020 15:57:23 GMT",
"version": "v1"
}
] | 2020-10-26 | [
[
"Baritto",
"Miguel",
""
],
[
"Billal",
"Md Mashum",
""
],
[
"Nasim",
"S. M. Muntasir",
""
],
[
"Sultana",
"Rumana Afroz",
""
],
[
"Arani",
"Mohammad",
""
],
[
"Qureshi",
"Ahmed Jawad",
""
]
] | The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3D-printing, and Internet of Things (IoT) offers Small and Medium Enterprises (SMEs) the chance to improve productivity and efficiency, reduce cost and ... |
2207.10741 | Caleb Tung | Caleb Tung, Abhinav Goel, Xiao Hu, Nicholas Eliopoulos, Emmanuel
Amobi, George K. Thiruvathukal, Vipin Chaudhary and Yung-Hsiang Lu | Irrelevant Pixels are Everywhere: Find and Exclude Them for More
Efficient Computer Vision | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Computer vision is often performed using Convolutional Neural Networks
(CNNs). CNNs are compute-intensive and challenging to deploy on
power-contrained systems such as mobile and Internet-of-Things (IoT) devices.
CNNs are compute-intensive because they indiscriminately compute many features
on all pixels of the input... | [
{
"created": "Thu, 21 Jul 2022 20:22:15 GMT",
"version": "v1"
}
] | 2022-07-25 | [
[
"Tung",
"Caleb",
""
],
[
"Goel",
"Abhinav",
""
],
[
"Hu",
"Xiao",
""
],
[
"Eliopoulos",
"Nicholas",
""
],
[
"Amobi",
"Emmanuel",
""
],
[
"Thiruvathukal",
"George K.",
""
],
[
"Chaudhary",
"Vipin",
""
],
... | Computer vision is often performed using Convolutional Neural Networks (CNNs). CNNs are compute-intensive and challenging to deploy on power-contrained systems such as mobile and Internet-of-Things (IoT) devices. CNNs are compute-intensive because they indiscriminately compute many features on all pixels of the input i... |
1911.09247 | Zewei Chu | Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal
Faruqui and Xiance Si | How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for
Rewriting Ill-Formed Questions | AAAI 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a large-scale dataset for the task of rewriting an ill-formed
natural language question to a well-formed one. Our multi-domain question
rewriting MQR dataset is constructed from human contributed Stack Exchange
question edit histories. The dataset contains 427,719 question pairs which come
from 303 domains... | [
{
"created": "Thu, 21 Nov 2019 02:24:21 GMT",
"version": "v1"
}
] | 2019-11-22 | [
[
"Chu",
"Zewei",
""
],
[
"Chen",
"Mingda",
""
],
[
"Chen",
"Jing",
""
],
[
"Wang",
"Miaosen",
""
],
[
"Gimpel",
"Kevin",
""
],
[
"Faruqui",
"Manaal",
""
],
[
"Si",
"Xiance",
""
]
] | We present a large-scale dataset for the task of rewriting an ill-formed natural language question to a well-formed one. Our multi-domain question rewriting MQR dataset is constructed from human contributed Stack Exchange question edit histories. The dataset contains 427,719 question pairs which come from 303 domains. ... |
2007.05975 | Benjamin Rubinstein | Tobias Edwards, Benjamin I. P. Rubinstein, Zuhe Zhang, Sanming Zhou | A Graph Symmetrisation Bound on Channel Information Leakage under
Blowfish Privacy | 11 pages, 5 figures; accepted to IEEE Transactions on Information
Theory | null | null | null | cs.IT cs.CR cs.LG math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blowfish privacy is a recent generalisation of differential privacy that
enables improved utility while maintaining privacy policies with semantic
guarantees, a factor that has driven the popularity of differential privacy in
computer science. This paper relates Blowfish privacy to an important measure
of privacy los... | [
{
"created": "Sun, 12 Jul 2020 12:38:32 GMT",
"version": "v1"
},
{
"created": "Mon, 7 Jun 2021 06:43:47 GMT",
"version": "v2"
},
{
"created": "Wed, 13 Oct 2021 12:42:54 GMT",
"version": "v3"
}
] | 2021-10-14 | [
[
"Edwards",
"Tobias",
""
],
[
"Rubinstein",
"Benjamin I. P.",
""
],
[
"Zhang",
"Zuhe",
""
],
[
"Zhou",
"Sanming",
""
]
] | Blowfish privacy is a recent generalisation of differential privacy that enables improved utility while maintaining privacy policies with semantic guarantees, a factor that has driven the popularity of differential privacy in computer science. This paper relates Blowfish privacy to an important measure of privacy loss ... |
1209.5494 | Nafiza Saidin | Nafiza Saidin, Harsa Amylia Mat Sakim, Umi Kalthum Ngah and Ibrahim
Lutfi Shuaib | Segmentation of Breast Regions in Mammogram Based on Density: A Review | 9 pages, 2 figures,IJCSI International Journal of Computer Science
Issues, Vol. 9, Issue 4, No 2, July 2012 | IJCSI International Journal of Computer Science Issues, Vol. 9,
Issue 4, No 2, July 2012 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The focus of this paper is to review approaches for segmentation of breast
regions in mammograms according to breast density. Studies based on density
have been undertaken because of the relationship between breast cancer and
density. Breast cancer usually occurs in the fibroglandular area of breast
tissue, which app... | [
{
"created": "Tue, 25 Sep 2012 04:58:55 GMT",
"version": "v1"
}
] | 2012-09-26 | [
[
"Saidin",
"Nafiza",
""
],
[
"Sakim",
"Harsa Amylia Mat",
""
],
[
"Ngah",
"Umi Kalthum",
""
],
[
"Shuaib",
"Ibrahim Lutfi",
""
]
] | The focus of this paper is to review approaches for segmentation of breast regions in mammograms according to breast density. Studies based on density have been undertaken because of the relationship between breast cancer and density. Breast cancer usually occurs in the fibroglandular area of breast tissue, which appea... |
2401.06391 | Chong Wang | Chong Wang and Jian Zhang and Yebo Feng and Tianlin Li and Weisong Sun
and Yang Liu and Xin Peng | Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code
Generation | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Code large language models (LLMs) face limitations in repository-level code
generation due to their lack of awareness of repository-level dependencies
(e.g., user-defined attributes), resulting in dependency errors such as
undefined-variable and no-member errors. In this work, we introduce ToolGen, an
approach that i... | [
{
"created": "Fri, 12 Jan 2024 06:03:56 GMT",
"version": "v1"
},
{
"created": "Sun, 21 Jan 2024 08:41:09 GMT",
"version": "v2"
},
{
"created": "Thu, 18 Jul 2024 07:04:38 GMT",
"version": "v3"
}
] | 2024-07-19 | [
[
"Wang",
"Chong",
""
],
[
"Zhang",
"Jian",
""
],
[
"Feng",
"Yebo",
""
],
[
"Li",
"Tianlin",
""
],
[
"Sun",
"Weisong",
""
],
[
"Liu",
"Yang",
""
],
[
"Peng",
"Xin",
""
]
] | Code large language models (LLMs) face limitations in repository-level code generation due to their lack of awareness of repository-level dependencies (e.g., user-defined attributes), resulting in dependency errors such as undefined-variable and no-member errors. In this work, we introduce ToolGen, an approach that int... |
2403.13268 | Ningyi Liao | Ningyi Liao and Zihao Yu and Siqiang Luo | Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural
Network | null | null | null | null | cs.LG cs.DB | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Graph Neural Networks (GNNs) have shown promising performance in various
graph learning tasks, but at the cost of resource-intensive computations. The
primary overhead of GNN update stems from graph propagation and weight
transformation, both involving operations on graph-scale matrices. Previous
studies attempt to r... | [
{
"created": "Wed, 20 Mar 2024 03:07:30 GMT",
"version": "v1"
}
] | 2024-03-21 | [
[
"Liao",
"Ningyi",
""
],
[
"Yu",
"Zihao",
""
],
[
"Luo",
"Siqiang",
""
]
] | Graph Neural Networks (GNNs) have shown promising performance in various graph learning tasks, but at the cost of resource-intensive computations. The primary overhead of GNN update stems from graph propagation and weight transformation, both involving operations on graph-scale matrices. Previous studies attempt to red... |
1205.4776 | Ilknur Icke | Ilknur Icke and Andrew Rosenberg | Visual and semantic interpretability of projections of high dimensional
data for classification tasks | Longer version of the VAST 2011 poster.
http://dx.doi.org/10.1109/VAST.2011.6102474 | null | 10.1109/VAST.2011.6102474 | null | cs.HC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A number of visual quality measures have been introduced in visual analytics
literature in order to automatically select the best views of high dimensional
data from a large number of candidate data projections. These methods generally
concentrate on the interpretability of the visualization and pay little
attention ... | [
{
"created": "Tue, 22 May 2012 00:10:45 GMT",
"version": "v1"
}
] | 2015-03-20 | [
[
"Icke",
"Ilknur",
""
],
[
"Rosenberg",
"Andrew",
""
]
] | A number of visual quality measures have been introduced in visual analytics literature in order to automatically select the best views of high dimensional data from a large number of candidate data projections. These methods generally concentrate on the interpretability of the visualization and pay little attention to... |
1702.01075 | Li Wang | Li Wang, Aaron D. Ames, Magnus Egerstedt | Safe Certificate-Based Maneuvers for Teams of Quadrotors Using
Differential Flatness | To appear in ICRA 2017, 8 page version | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Safety Barrier Certificates that ensure collision-free maneuvers for teams of
differential flatness-based quadrotors are presented in this paper. Synthesized
with control barrier functions, the certificates are used to modify the nominal
trajectory in a minimally invasive way to avoid collisions. The proposed
collisi... | [
{
"created": "Fri, 3 Feb 2017 16:42:57 GMT",
"version": "v1"
}
] | 2017-02-06 | [
[
"Wang",
"Li",
""
],
[
"Ames",
"Aaron D.",
""
],
[
"Egerstedt",
"Magnus",
""
]
] | Safety Barrier Certificates that ensure collision-free maneuvers for teams of differential flatness-based quadrotors are presented in this paper. Synthesized with control barrier functions, the certificates are used to modify the nominal trajectory in a minimally invasive way to avoid collisions. The proposed collision... |
2009.00261 | Mohammad Keshavarzi | Mohammad Keshavarzi, Clayton Hutson, Chin-Yi Cheng, Mehdi Nourbakhsh,
Michael Bergin, Mohammad Rahmani Asl | SketchOpt: Sketch-based Parametric Model Retrieval for Generative Design | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Developing fully parametric building models for performance-based generative
design tasks often requires proficiency in many advanced 3D modeling and visual
programming, limiting its use for many building designers. Moreover, iterations
of such models can be time-consuming tasks and sometimes limiting, as major
chang... | [
{
"created": "Tue, 1 Sep 2020 06:28:09 GMT",
"version": "v1"
}
] | 2020-09-02 | [
[
"Keshavarzi",
"Mohammad",
""
],
[
"Hutson",
"Clayton",
""
],
[
"Cheng",
"Chin-Yi",
""
],
[
"Nourbakhsh",
"Mehdi",
""
],
[
"Bergin",
"Michael",
""
],
[
"Asl",
"Mohammad Rahmani",
""
]
] | Developing fully parametric building models for performance-based generative design tasks often requires proficiency in many advanced 3D modeling and visual programming, limiting its use for many building designers. Moreover, iterations of such models can be time-consuming tasks and sometimes limiting, as major changes... |
1607.06778 | Saeed Manaffam | Saeed Manaffam, Alireza Seyedi, Azadeh Vosoughi, and Tara Javidi | Synchronization in Networked Systems with Parameter Mismatch: Adaptive
Decentralized and Distributed Controls | 9 pages, 5 figures, submitted to Trans. on Circuits ans Systems I:
Regular paper 2016 | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Here, we study the ultimately bounded stability of network of mismatched
systems using Lyapunov direct method. We derive an upper bound on the norm of
the error of network states from its average states, which it achieves in
finite time. Then, we devise a decentralized compensator to asymptotically pin
the network of... | [
{
"created": "Fri, 22 Jul 2016 18:12:11 GMT",
"version": "v1"
}
] | 2016-07-25 | [
[
"Manaffam",
"Saeed",
""
],
[
"Seyedi",
"Alireza",
""
],
[
"Vosoughi",
"Azadeh",
""
],
[
"Javidi",
"Tara",
""
]
] | Here, we study the ultimately bounded stability of network of mismatched systems using Lyapunov direct method. We derive an upper bound on the norm of the error of network states from its average states, which it achieves in finite time. Then, we devise a decentralized compensator to asymptotically pin the network of m... |
2404.18896 | Xingyuan Zhang | Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian
Karl | Overcoming Knowledge Barriers: Online Imitation Learning from
Observation with Pretrained World Models | 19 pages, 7 figures | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Incorporating the successful paradigm of pretraining and finetuning from
Computer Vision and Natural Language Processing into decision-making has become
increasingly popular in recent years. In this paper, we study Imitation
Learning from Observation with pretrained models and find existing approaches
such as BCO and... | [
{
"created": "Mon, 29 Apr 2024 17:33:52 GMT",
"version": "v1"
}
] | 2024-04-30 | [
[
"Zhang",
"Xingyuan",
""
],
[
"Becker-Ehmck",
"Philip",
""
],
[
"van der Smagt",
"Patrick",
""
],
[
"Karl",
"Maximilian",
""
]
] | Incorporating the successful paradigm of pretraining and finetuning from Computer Vision and Natural Language Processing into decision-making has become increasingly popular in recent years. In this paper, we study Imitation Learning from Observation with pretrained models and find existing approaches such as BCO and A... |
2207.07498 | Ignacio Carlucho | Ignacio Carlucho and Arrasy Rahman and William Ard and Elliot Fosong
and Corina Barbalata and Stefano V. Albrecht | Cooperative Marine Operations via Ad Hoc Teams | null | null | null | null | cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While research in ad hoc teamwork has great potential for solving real-world
robotic applications, most developments so far have been focusing on
environments with simple dynamics. In this article, we discuss how the problem
of ad hoc teamwork can be of special interest for marine robotics and how it
can aid marine o... | [
{
"created": "Fri, 15 Jul 2022 14:34:57 GMT",
"version": "v1"
}
] | 2022-07-18 | [
[
"Carlucho",
"Ignacio",
""
],
[
"Rahman",
"Arrasy",
""
],
[
"Ard",
"William",
""
],
[
"Fosong",
"Elliot",
""
],
[
"Barbalata",
"Corina",
""
],
[
"Albrecht",
"Stefano V.",
""
]
] | While research in ad hoc teamwork has great potential for solving real-world robotic applications, most developments so far have been focusing on environments with simple dynamics. In this article, we discuss how the problem of ad hoc teamwork can be of special interest for marine robotics and how it can aid marine ope... |
2203.12922 | Zihan Zhang | Zihan Zhang, Xiangyang Ji, Simon S. Du | Horizon-Free Reinforcement Learning in Polynomial Time: the Power of
Stationary Policies | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper gives the first polynomial-time algorithm for tabular Markov
Decision Processes (MDP) that enjoys a regret bound \emph{independent on the
planning horizon}. Specifically, we consider tabular MDP with $S$ states, $A$
actions, a planning horizon $H$, total reward bounded by $1$, and the agent
plays for $K$ e... | [
{
"created": "Thu, 24 Mar 2022 08:14:12 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Jun 2022 04:39:01 GMT",
"version": "v2"
}
] | 2022-06-17 | [
[
"Zhang",
"Zihan",
""
],
[
"Ji",
"Xiangyang",
""
],
[
"Du",
"Simon S.",
""
]
] | This paper gives the first polynomial-time algorithm for tabular Markov Decision Processes (MDP) that enjoys a regret bound \emph{independent on the planning horizon}. Specifically, we consider tabular MDP with $S$ states, $A$ actions, a planning horizon $H$, total reward bounded by $1$, and the agent plays for $K$ epi... |
2304.06054 | Lekai Liu | Li Zhu, Lekai Liu, Changshi Yu | Landslide Susceptibility Prediction Modeling Based on Self-Screening
Deep Learning Model | Some contributing authors are not signed | null | null | null | cs.LG physics.geo-ph | http://creativecommons.org/licenses/by/4.0/ | Landslide susceptibility prediction has always been an important and
challenging content. However, there are some uncertain problems to be solved in
susceptibility modeling, such as the error of landslide samples and the complex
nonlinear relationship between environmental factors. A self-screening graph
convolutiona... | [
{
"created": "Wed, 12 Apr 2023 10:31:03 GMT",
"version": "v1"
},
{
"created": "Sun, 8 Oct 2023 07:05:13 GMT",
"version": "v2"
}
] | 2023-10-10 | [
[
"Zhu",
"Li",
""
],
[
"Liu",
"Lekai",
""
],
[
"Yu",
"Changshi",
""
]
] | Landslide susceptibility prediction has always been an important and challenging content. However, there are some uncertain problems to be solved in susceptibility modeling, such as the error of landslide samples and the complex nonlinear relationship between environmental factors. A self-screening graph convolutional ... |
2212.03759 | Vaishnavi Khindkar | Vaishnavi Khindkar, Janhavi Khindkar | GAMMA: Generative Augmentation for Attentive Marine Debris Detection | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We propose an efficient and generative augmentation approach to solve the
inadequacy concern of underwater debris data for visual detection. We use
cycleGAN as a data augmentation technique to convert openly available, abundant
data of terrestrial plastic to underwater-style images. Prior works just focus
on augmenti... | [
{
"created": "Wed, 7 Dec 2022 16:30:51 GMT",
"version": "v1"
}
] | 2022-12-08 | [
[
"Khindkar",
"Vaishnavi",
""
],
[
"Khindkar",
"Janhavi",
""
]
] | We propose an efficient and generative augmentation approach to solve the inadequacy concern of underwater debris data for visual detection. We use cycleGAN as a data augmentation technique to convert openly available, abundant data of terrestrial plastic to underwater-style images. Prior works just focus on augmenting... |
1605.05676 | Martin Biehl | Martin Biehl, Takashi Ikegami, Daniel Polani | Towards information based spatiotemporal patterns as a foundation for
agent representation in dynamical systems | 8 pages, 3 figures | Proceedings of the Artificial Life Conference 2016 | 10.7551/978-0-262-33936-0-ch115 | null | cs.AI cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present some arguments why existing methods for representing agents fall
short in applications crucial to artificial life. Using a thought experiment
involving a fictitious dynamical systems model of the biosphere we argue that
the metabolism, motility, and the concept of counterfactual variation should be
compati... | [
{
"created": "Wed, 18 May 2016 18:18:38 GMT",
"version": "v1"
}
] | 2017-04-11 | [
[
"Biehl",
"Martin",
""
],
[
"Ikegami",
"Takashi",
""
],
[
"Polani",
"Daniel",
""
]
] | We present some arguments why existing methods for representing agents fall short in applications crucial to artificial life. Using a thought experiment involving a fictitious dynamical systems model of the biosphere we argue that the metabolism, motility, and the concept of counterfactual variation should be compatibl... |
2205.14892 | Tobias Koch | Tobias Koch, Felix Liebezeit, Christian Riess, Vincent Christlein,
Thomas K\"ohler | Exploring the Open World Using Incremental Extreme Value Machines | Accepted at ICPR 2022 | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dynamic environments require adaptive applications. One particular machine
learning problem in dynamic environments is open world recognition. It
characterizes a continuously changing domain where only some classes are seen
in one batch of the training data and such batches can only be learned
incrementally. Open wor... | [
{
"created": "Mon, 30 May 2022 07:21:13 GMT",
"version": "v1"
}
] | 2022-05-31 | [
[
"Koch",
"Tobias",
""
],
[
"Liebezeit",
"Felix",
""
],
[
"Riess",
"Christian",
""
],
[
"Christlein",
"Vincent",
""
],
[
"Köhler",
"Thomas",
""
]
] | Dynamic environments require adaptive applications. One particular machine learning problem in dynamic environments is open world recognition. It characterizes a continuously changing domain where only some classes are seen in one batch of the training data and such batches can only be learned incrementally. Open world... |
1305.3333 | Christos Tzamos | Dimitris Fotakis and Christos Tzamos | Strategy-Proof Facility Location for Concave Cost Functions | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider k-Facility Location games, where n strategic agents report their
locations on the real line, and a mechanism maps them to k facilities. Each
agent seeks to minimize his connection cost, given by a nonnegative increasing
function of his distance to the nearest facility. Departing from previous work,
that m... | [
{
"created": "Wed, 15 May 2013 01:22:15 GMT",
"version": "v1"
}
] | 2013-05-16 | [
[
"Fotakis",
"Dimitris",
""
],
[
"Tzamos",
"Christos",
""
]
] | We consider k-Facility Location games, where n strategic agents report their locations on the real line, and a mechanism maps them to k facilities. Each agent seeks to minimize his connection cost, given by a nonnegative increasing function of his distance to the nearest facility. Departing from previous work, that mos... |
1810.00326 | Wahyudi Wahyudi | Wahyudi, Masayu Leylia Khodra, Ary Setijadi Prihatmanto, Carmadi
Machbub | Using Graph-Pattern Association Rules On Yago Knowledge Base | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose the use of Graph-Pattern Association Rules (GPARs) on the Yago
knowledge base. Extending association rules for itemsets, GPARS can help to
discover regularities between entities in knowledge bases. A rule-generated
graph pattern (RGGP) algorithm was used for extracting rules from the Yago
knowledge base an... | [
{
"created": "Sun, 30 Sep 2018 06:42:18 GMT",
"version": "v1"
}
] | 2018-10-02 | [
[
"Wahyudi",
"",
""
],
[
"Khodra",
"Masayu Leylia",
""
],
[
"Prihatmanto",
"Ary Setijadi",
""
],
[
"Machbub",
"Carmadi",
""
]
] | We propose the use of Graph-Pattern Association Rules (GPARs) on the Yago knowledge base. Extending association rules for itemsets, GPARS can help to discover regularities between entities in knowledge bases. A rule-generated graph pattern (RGGP) algorithm was used for extracting rules from the Yago knowledge base and ... |
2104.14616 | Adrian Moldovan | Adrian Moldovan and Angel Ca\c{t}aron and R\u{a}zvan Andonie | Learning in Feedforward Neural Networks Accelerated by Transfer Entropy | 18 pages, 13 figures | null | 10.3390/e22010102 | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Current neural networks architectures are many times harder to train because
of the increasing size and complexity of the used datasets. Our objective is to
design more efficient training algorithms utilizing causal relationships
inferred from neural networks. The transfer entropy (TE) was initially
introduced as an ... | [
{
"created": "Thu, 29 Apr 2021 19:07:07 GMT",
"version": "v1"
}
] | 2021-05-03 | [
[
"Moldovan",
"Adrian",
""
],
[
"Caţaron",
"Angel",
""
],
[
"Andonie",
"Răzvan",
""
]
] | Current neural networks architectures are many times harder to train because of the increasing size and complexity of the used datasets. Our objective is to design more efficient training algorithms utilizing causal relationships inferred from neural networks. The transfer entropy (TE) was initially introduced as an in... |
2102.10283 | Sho Sakaino Prof. | Sho Sakaino, Kazuki Fujimoto, Yuki Saigusa, Toshiaki Tsuji | Imitation Learning for Variable Speed Contact Motion for Operation up to
Control Bandwidth | Copyright 2022 IEEE. Personal use of this material is permitted.
Permission from IEEE must be obtained for all other uses, in any current or
future media, including reprinting/republishing this material for advertising
or promotional purposes, creating new collective works, for resale or
redistribution to serve... | null | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The generation of robot motions in the real world is difficult by using
conventional controllers alone and requires highly intelligent processing. In
this regard, learning-based motion generations are currently being
investigated. However, the main issue has been improvements of the adaptability
to spatially varying ... | [
{
"created": "Sat, 20 Feb 2021 08:14:25 GMT",
"version": "v1"
},
{
"created": "Mon, 17 May 2021 10:04:40 GMT",
"version": "v2"
},
{
"created": "Fri, 1 Oct 2021 04:36:23 GMT",
"version": "v3"
},
{
"created": "Mon, 25 Oct 2021 15:46:03 GMT",
"version": "v4"
},
{
"cr... | 2022-02-15 | [
[
"Sakaino",
"Sho",
""
],
[
"Fujimoto",
"Kazuki",
""
],
[
"Saigusa",
"Yuki",
""
],
[
"Tsuji",
"Toshiaki",
""
]
] | The generation of robot motions in the real world is difficult by using conventional controllers alone and requires highly intelligent processing. In this regard, learning-based motion generations are currently being investigated. However, the main issue has been improvements of the adaptability to spatially varying en... |
2202.11670 | Beau Coker | Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale
Doshi-Velez | Wide Mean-Field Bayesian Neural Networks Ignore the Data | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Bayesian neural networks (BNNs) combine the expressive power of deep learning
with the advantages of Bayesian formalism. In recent years, the analysis of
wide, deep BNNs has provided theoretical insight into their priors and
posteriors. However, we have no analogous insight into their posteriors under
approximate inf... | [
{
"created": "Wed, 23 Feb 2022 18:21:50 GMT",
"version": "v1"
}
] | 2022-02-24 | [
[
"Coker",
"Beau",
""
],
[
"Bruinsma",
"Wessel P.",
""
],
[
"Burt",
"David R.",
""
],
[
"Pan",
"Weiwei",
""
],
[
"Doshi-Velez",
"Finale",
""
]
] | Bayesian neural networks (BNNs) combine the expressive power of deep learning with the advantages of Bayesian formalism. In recent years, the analysis of wide, deep BNNs has provided theoretical insight into their priors and posteriors. However, we have no analogous insight into their posteriors under approximate infer... |
1509.04619 | Hamid Tizhoosh | Zehra Camlica, H.R. Tizhoosh, Farzad Khalvati | Medical Image Classification via SVM using LBP Features from
Saliency-Based Folded Data | To appear in proceedings of The 14th International Conference on
Machine Learning and Applications (IEEE ICMLA 2015), Miami, Florida, USA,
2015 | null | 10.1109/ICMLA.2015.131 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Good results on image classification and retrieval using support vector
machines (SVM) with local binary patterns (LBPs) as features have been
extensively reported in the literature where an entire image is retrieved or
classified. In contrast, in medical imaging, not all parts of the image may be
equally significant... | [
{
"created": "Tue, 15 Sep 2015 16:08:08 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Camlica",
"Zehra",
""
],
[
"Tizhoosh",
"H. R.",
""
],
[
"Khalvati",
"Farzad",
""
]
] | Good results on image classification and retrieval using support vector machines (SVM) with local binary patterns (LBPs) as features have been extensively reported in the literature where an entire image is retrieved or classified. In contrast, in medical imaging, not all parts of the image may be equally significant o... |
2302.08642 | HaiLong Liu | Hailong Liu and Shota Inoue and Takahiro Wada | Subjective Vertical Conflict Model with Visual Vertical: Predicting
Motion Sickness on Autonomous Personal Mobility Vehicles | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Passengers of level 3-5 autonomous personal mobility vehicles (APMV) can
perform non-driving tasks, such as reading books and smartphones, while
driving. It has been pointed out that such activities may increase motion
sickness, especially when frequently avoiding pedestrians or obstacles in
shared spaces. Many studi... | [
{
"created": "Fri, 17 Feb 2023 01:21:32 GMT",
"version": "v1"
}
] | 2023-02-20 | [
[
"Liu",
"Hailong",
""
],
[
"Inoue",
"Shota",
""
],
[
"Wada",
"Takahiro",
""
]
] | Passengers of level 3-5 autonomous personal mobility vehicles (APMV) can perform non-driving tasks, such as reading books and smartphones, while driving. It has been pointed out that such activities may increase motion sickness, especially when frequently avoiding pedestrians or obstacles in shared spaces. Many studies... |
1510.01135 | Eric Kerrigan | Eric C. Kerrigan | Feedback and Time are Essential for the Optimal Control of Computing
Systems | null | Proc. 5th IFAC Conference on Nonlinear Model Predictive Control
2015 | 10.1016/j.ifacol.2015.11.309 | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The performance, reliability, cost, size and energy usage of computing
systems can be improved by one or more orders of magnitude by the systematic
use of modern control and optimization methods. Computing systems rely on the
use of feedback algorithms to schedule tasks, data and resources, but the
models that are us... | [
{
"created": "Mon, 5 Oct 2015 13:06:17 GMT",
"version": "v1"
}
] | 2017-10-13 | [
[
"Kerrigan",
"Eric C.",
""
]
] | The performance, reliability, cost, size and energy usage of computing systems can be improved by one or more orders of magnitude by the systematic use of modern control and optimization methods. Computing systems rely on the use of feedback algorithms to schedule tasks, data and resources, but the models that are used... |
1208.5195 | Muhammad Javed | Muhammad Javed, Bashir Ahmad, Zaffar Abbas, Allah Nawaz, Muhammad Ali
Abid and Ihsan Ullah | Decreasing defect rate of test cases by designing and analysis for
recursive modules of a program structure: Improvement in test cases | 4 pages | IJCSIS August 2012, Vol. 10 No. 8 | null | null | cs.SE | http://creativecommons.org/licenses/by/3.0/ | Designing and analysis of test cases is a challenging tasks for tester roles
especially those who are related to test the structure of program. Recently,
Programmers are showing valuable trend towards the implementation of recursive
modules in a program structure. In testing phase of software development life
cycle, ... | [
{
"created": "Sun, 26 Aug 2012 06:55:07 GMT",
"version": "v1"
}
] | 2012-08-28 | [
[
"Javed",
"Muhammad",
""
],
[
"Ahmad",
"Bashir",
""
],
[
"Abbas",
"Zaffar",
""
],
[
"Nawaz",
"Allah",
""
],
[
"Abid",
"Muhammad Ali",
""
],
[
"Ullah",
"Ihsan",
""
]
] | Designing and analysis of test cases is a challenging tasks for tester roles especially those who are related to test the structure of program. Recently, Programmers are showing valuable trend towards the implementation of recursive modules in a program structure. In testing phase of software development life cycle, te... |
2002.10306 | Indro Spinelli | Indro Spinelli, Simone Scardapane, Aurelio Uncini | Adaptive Propagation Graph Convolutional Network | Published in IEEE Transaction on Neural Networks and Learning Systems | IEEE Transactions on Neural Networks and Learning Systems, 2020 | 10.1109/TNNLS.2020.3025110 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph convolutional networks (GCNs) are a family of neural network models
that perform inference on graph data by interleaving vertex-wise operations and
message-passing exchanges across nodes. Concerning the latter, two key
questions arise: (i) how to design a differentiable exchange protocol (e.g., a
1-hop Laplacia... | [
{
"created": "Mon, 24 Feb 2020 15:31:16 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Jun 2020 18:28:25 GMT",
"version": "v2"
},
{
"created": "Mon, 28 Sep 2020 09:28:34 GMT",
"version": "v3"
}
] | 2020-09-29 | [
[
"Spinelli",
"Indro",
""
],
[
"Scardapane",
"Simone",
""
],
[
"Uncini",
"Aurelio",
""
]
] | Graph convolutional networks (GCNs) are a family of neural network models that perform inference on graph data by interleaving vertex-wise operations and message-passing exchanges across nodes. Concerning the latter, two key questions arise: (i) how to design a differentiable exchange protocol (e.g., a 1-hop Laplacian ... |
2007.13156 | Anthony Bagnall Dr | Alejandro Pasos Ruiz, Michael Flynn and Anthony Bagnall | Benchmarking Multivariate Time Series Classification Algorithms | Data Min Knowl Disc (2020) | The great multivariate time series classification bake off: a
review and experimental evaluation of recent algorithmic advances, Data
Mining and Knowledge Discovery volume 35, pages 401 to 449 (2021) | 10.1007/s10618-020-00727-3 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Time Series Classification (TSC) involved building predictive models for a
discrete target variable from ordered, real valued, attributes. Over recent
years, a new set of TSC algorithms have been developed which have made
significant improvement over the previous state of the art. The main focus has
been on univariat... | [
{
"created": "Sun, 26 Jul 2020 15:56:40 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Apr 2023 08:49:30 GMT",
"version": "v2"
}
] | 2023-04-27 | [
[
"Ruiz",
"Alejandro Pasos",
""
],
[
"Flynn",
"Michael",
""
],
[
"Bagnall",
"Anthony",
""
]
] | Time Series Classification (TSC) involved building predictive models for a discrete target variable from ordered, real valued, attributes. Over recent years, a new set of TSC algorithms have been developed which have made significant improvement over the previous state of the art. The main focus has been on univariate ... |
2310.09343 | Hyungjoo Chae | Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin
Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo | Dialogue Chain-of-Thought Distillation for Commonsense-aware
Conversational Agents | 25 pages, 8 figures, Accepted to EMNLP 2023 | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Human-like chatbots necessitate the use of commonsense reasoning in order to
effectively comprehend and respond to implicit information present within
conversations. Achieving such coherence and informativeness in responses,
however, is a non-trivial task. Even for large language models (LLMs), the task
of identifyin... | [
{
"created": "Fri, 13 Oct 2023 18:17:23 GMT",
"version": "v1"
},
{
"created": "Sun, 22 Oct 2023 09:16:52 GMT",
"version": "v2"
}
] | 2023-10-24 | [
[
"Chae",
"Hyungjoo",
""
],
[
"Song",
"Yongho",
""
],
[
"Ong",
"Kai Tzu-iunn",
""
],
[
"Kwon",
"Taeyoon",
""
],
[
"Kim",
"Minjin",
""
],
[
"Yu",
"Youngjae",
""
],
[
"Lee",
"Dongha",
""
],
[
"Kang",
... | Human-like chatbots necessitate the use of commonsense reasoning in order to effectively comprehend and respond to implicit information present within conversations. Achieving such coherence and informativeness in responses, however, is a non-trivial task. Even for large language models (LLMs), the task of identifying ... |
2108.09879 | Tanmay Ghai | Yixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro Szekely | AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity
Resolution Evaluation | 10 pages, 6 figures, Published in CIKM '21; corrected title & fixed
abstract formatting | null | 10.1145/3459637.3482318 | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Entity resolution is the task of identifying records in different datasets
that refer to the same entity in the real world. In sensitive domains (e.g.
financial accounts, hospital health records), entity resolution must meet
privacy requirements to avoid revealing sensitive information such as personal
identifiable i... | [
{
"created": "Mon, 23 Aug 2021 00:57:39 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Aug 2021 01:37:36 GMT",
"version": "v2"
},
{
"created": "Thu, 4 Nov 2021 20:54:47 GMT",
"version": "v3"
}
] | 2021-11-08 | [
[
"Yao",
"Yixiang",
""
],
[
"Ghai",
"Tanmay",
""
],
[
"Ravi",
"Srivatsan",
""
],
[
"Szekely",
"Pedro",
""
]
] | Entity resolution is the task of identifying records in different datasets that refer to the same entity in the real world. In sensitive domains (e.g. financial accounts, hospital health records), entity resolution must meet privacy requirements to avoid revealing sensitive information such as personal identifiable inf... |
2308.08930 | Runmin Cong | Runmin Cong, Hongyu Liu, Chen Zhang, Wei Zhang, Feng Zheng, Ran Song,
and Sam Kwong | Point-aware Interaction and CNN-induced Refinement Network for RGB-D
Salient Object Detection | Accepted by ACM MM 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | By integrating complementary information from RGB image and depth map, the
ability of salient object detection (SOD) for complex and challenging scenes
can be improved. In recent years, the important role of Convolutional Neural
Networks (CNNs) in feature extraction and cross-modality interaction has been
fully explo... | [
{
"created": "Thu, 17 Aug 2023 11:57:49 GMT",
"version": "v1"
}
] | 2023-08-21 | [
[
"Cong",
"Runmin",
""
],
[
"Liu",
"Hongyu",
""
],
[
"Zhang",
"Chen",
""
],
[
"Zhang",
"Wei",
""
],
[
"Zheng",
"Feng",
""
],
[
"Song",
"Ran",
""
],
[
"Kwong",
"Sam",
""
]
] | By integrating complementary information from RGB image and depth map, the ability of salient object detection (SOD) for complex and challenging scenes can be improved. In recent years, the important role of Convolutional Neural Networks (CNNs) in feature extraction and cross-modality interaction has been fully explore... |
2301.01482 | Yunfeng Li | Yunfeng Li, Bo Wang, Ye Li, Zhuoyan Liu, Wei Huo, Yueming Li, Jian Cao | Underwater Object Tracker: UOSTrack for Marine Organism Grasping of
Underwater Vehicles | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A visual single-object tracker is an indispensable component of underwater
vehicles (UVs) in marine organism grasping tasks. Its accuracy and stability
are imperative to guide the UVs to perform grasping behavior. Although
single-object trackers show competitive performance in the challenge of
underwater image degrad... | [
{
"created": "Wed, 4 Jan 2023 08:22:34 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Jan 2023 02:04:17 GMT",
"version": "v2"
},
{
"created": "Thu, 23 Mar 2023 05:34:15 GMT",
"version": "v3"
},
{
"created": "Mon, 27 Mar 2023 06:23:07 GMT",
"version": "v4"
},
{
"cr... | 2023-07-25 | [
[
"Li",
"Yunfeng",
""
],
[
"Wang",
"Bo",
""
],
[
"Li",
"Ye",
""
],
[
"Liu",
"Zhuoyan",
""
],
[
"Huo",
"Wei",
""
],
[
"Li",
"Yueming",
""
],
[
"Cao",
"Jian",
""
]
] | A visual single-object tracker is an indispensable component of underwater vehicles (UVs) in marine organism grasping tasks. Its accuracy and stability are imperative to guide the UVs to perform grasping behavior. Although single-object trackers show competitive performance in the challenge of underwater image degradat... |
2312.03243 | Jian Cheng Wong | Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu,
Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong | Generalizable Neural Physics Solvers by Baldwinian Evolution | null | null | null | null | cs.NE cs.CE cs.LG | http://creativecommons.org/licenses/by/4.0/ | Physics-informed neural networks (PINNs) are at the forefront of scientific
machine learning, making possible the creation of machine intelligence that is
cognizant of physical laws and able to accurately simulate them. In this paper,
the potential of discovering PINNs that generalize over an entire family of
physics... | [
{
"created": "Wed, 6 Dec 2023 02:31:12 GMT",
"version": "v1"
}
] | 2023-12-07 | [
[
"Wong",
"Jian Cheng",
""
],
[
"Ooi",
"Chin Chun",
""
],
[
"Gupta",
"Abhishek",
""
],
[
"Chiu",
"Pao-Hsiung",
""
],
[
"Low",
"Joshua Shao Zheng",
""
],
[
"Dao",
"My Ha",
""
],
[
"Ong",
"Yew-Soon",
""
]
] | Physics-informed neural networks (PINNs) are at the forefront of scientific machine learning, making possible the creation of machine intelligence that is cognizant of physical laws and able to accurately simulate them. In this paper, the potential of discovering PINNs that generalize over an entire family of physics t... |
1302.5348 | Ben London | Ben London and Bert Huang and Lise Getoor | Graph-based Generalization Bounds for Learning Binary Relations | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the generalizability of learned binary relations: functions
that map pairs of instances to a logical indicator. This problem has
application in numerous areas of machine learning, such as ranking, entity
resolution and link prediction. Our learning framework incorporates an example
labeler that, given ... | [
{
"created": "Thu, 21 Feb 2013 17:30:42 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Feb 2013 03:33:47 GMT",
"version": "v2"
},
{
"created": "Fri, 31 May 2013 21:12:47 GMT",
"version": "v3"
}
] | 2013-06-04 | [
[
"London",
"Ben",
""
],
[
"Huang",
"Bert",
""
],
[
"Getoor",
"Lise",
""
]
] | We investigate the generalizability of learned binary relations: functions that map pairs of instances to a logical indicator. This problem has application in numerous areas of machine learning, such as ranking, entity resolution and link prediction. Our learning framework incorporates an example labeler that, given a ... |
1711.04467 | Lior Kamma | Diptarka Chakraborty, Lior Kamma, Kasper Green Larsen | Tight Cell Probe Bounds for Succinct Boolean Matrix-Vector
Multiplication | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The conjectured hardness of Boolean matrix-vector multiplication has been
used with great success to prove conditional lower bounds for numerous
important data structure problems, see Henzinger et al. [STOC'15]. In recent
work, Larsen and Williams [SODA'17] attacked the problem from the upper bound
side and gave a su... | [
{
"created": "Mon, 13 Nov 2017 08:29:45 GMT",
"version": "v1"
}
] | 2017-11-15 | [
[
"Chakraborty",
"Diptarka",
""
],
[
"Kamma",
"Lior",
""
],
[
"Larsen",
"Kasper Green",
""
]
] | The conjectured hardness of Boolean matrix-vector multiplication has been used with great success to prove conditional lower bounds for numerous important data structure problems, see Henzinger et al. [STOC'15]. In recent work, Larsen and Williams [SODA'17] attacked the problem from the upper bound side and gave a surp... |
1901.06824 | Kyrill Winkler | Matthias F\"ugger, Thomas Nowak, Kyrill Winkler | On the Radius of Nonsplit Graphs and Information Dissemination in
Dynamic Networks | 12 pages, 1 figure | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A nonsplit graph is a directed graph where each pair of nodes has a common
incoming neighbor. We show that the radius of such graphs is in $O(\log \log
n)$, where $n$ is the number of nodes. We then generalize the result to
products of nonsplit graphs.
The analysis of nonsplit graph products has direct implications... | [
{
"created": "Mon, 21 Jan 2019 08:45:38 GMT",
"version": "v1"
}
] | 2019-01-23 | [
[
"Függer",
"Matthias",
""
],
[
"Nowak",
"Thomas",
""
],
[
"Winkler",
"Kyrill",
""
]
] | A nonsplit graph is a directed graph where each pair of nodes has a common incoming neighbor. We show that the radius of such graphs is in $O(\log \log n)$, where $n$ is the number of nodes. We then generalize the result to products of nonsplit graphs. The analysis of nonsplit graph products has direct implications in ... |
2406.09044 | Hanqing Wang | Hanqing Wang, Zeguan Xiao, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen | MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM
Finetuning | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficient finetuning of large language models (LLMs) aims to adapt the LLMs
with reduced computation and memory cost. Previous LoRA-based approaches
initialize the low-rank matrices with gaussian distribution and zero values,
while keeping the original weight matrices frozen. However, the trainable model
parameters o... | [
{
"created": "Thu, 13 Jun 2024 12:30:02 GMT",
"version": "v1"
}
] | 2024-06-14 | [
[
"Wang",
"Hanqing",
""
],
[
"Xiao",
"Zeguan",
""
],
[
"Li",
"Yixia",
""
],
[
"Wang",
"Shuo",
""
],
[
"Chen",
"Guanhua",
""
],
[
"Chen",
"Yun",
""
]
] | Efficient finetuning of large language models (LLMs) aims to adapt the LLMs with reduced computation and memory cost. Previous LoRA-based approaches initialize the low-rank matrices with gaussian distribution and zero values, while keeping the original weight matrices frozen. However, the trainable model parameters opt... |
1806.04422 | Kele Xu | Dawei Feng, Kele Xu, Haibo Mi, Feifan Liao and Yan Zhou | Sample Dropout for Audio Scene Classification Using Multi-Scale Dense
Connected Convolutional Neural Network | Accepted to 2018 Pacific Rim Knowledge Acquisition Workshop (PKAW) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Acoustic scene classification is an intricate problem for a machine. As an
emerging field of research, deep Convolutional Neural Networks (CNN) achieve
convincing results. In this paper, we explore the use of multi-scale Dense
connected convolutional neural network (DenseNet) for the classification task,
with the goa... | [
{
"created": "Tue, 12 Jun 2018 09:59:11 GMT",
"version": "v1"
}
] | 2018-06-13 | [
[
"Feng",
"Dawei",
""
],
[
"Xu",
"Kele",
""
],
[
"Mi",
"Haibo",
""
],
[
"Liao",
"Feifan",
""
],
[
"Zhou",
"Yan",
""
]
] | Acoustic scene classification is an intricate problem for a machine. As an emerging field of research, deep Convolutional Neural Networks (CNN) achieve convincing results. In this paper, we explore the use of multi-scale Dense connected convolutional neural network (DenseNet) for the classification task, with the goal ... |
1410.4421 | Sergio Grammatico | Sergio Grammatico, Francesca Parise, Marcello Colombino, John Lygeros | Decentralized Convergence to Nash Equilibria in Constrained
Deterministic Mean Field Control | IEEE Trans. on Automatic Control (cond. accepted) | null | 10.1109/TAC.2015.2513368 | null | cs.SY cs.GT math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers decentralized control and optimization methodologies for
large populations of systems, consisting of several agents with different
individual behaviors, constraints and interests, and affected by the aggregate
behavior of the overall population. For such large-scale systems, the theory of
aggrega... | [
{
"created": "Thu, 16 Oct 2014 13:48:14 GMT",
"version": "v1"
},
{
"created": "Sun, 17 May 2015 20:59:36 GMT",
"version": "v2"
}
] | 2016-11-15 | [
[
"Grammatico",
"Sergio",
""
],
[
"Parise",
"Francesca",
""
],
[
"Colombino",
"Marcello",
""
],
[
"Lygeros",
"John",
""
]
] | This paper considers decentralized control and optimization methodologies for large populations of systems, consisting of several agents with different individual behaviors, constraints and interests, and affected by the aggregate behavior of the overall population. For such large-scale systems, the theory of aggregati... |
1208.3530 | Haimonti Dutta | Haimonti Dutta, William Chan, Deepak Shankargouda, Manoj Pooleery,
Axinia Radeva, Kyle Rego, Boyi Xie, Rebecca Passonneau, Austin Lee and
Barbara Taranto | Leveraging Subjective Human Annotation for Clustering Historic Newspaper
Articles | null | null | null | null | cs.IR cs.CL cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The New York Public Library is participating in the Chronicling America
initiative to develop an online searchable database of historically significant
newspaper articles. Microfilm copies of the newspapers are scanned and high
resolution Optical Character Recognition (OCR) software is run on them. The
text from the ... | [
{
"created": "Fri, 17 Aug 2012 04:48:58 GMT",
"version": "v1"
}
] | 2012-08-20 | [
[
"Dutta",
"Haimonti",
""
],
[
"Chan",
"William",
""
],
[
"Shankargouda",
"Deepak",
""
],
[
"Pooleery",
"Manoj",
""
],
[
"Radeva",
"Axinia",
""
],
[
"Rego",
"Kyle",
""
],
[
"Xie",
"Boyi",
""
],
[
"Pas... | The New York Public Library is participating in the Chronicling America initiative to develop an online searchable database of historically significant newspaper articles. Microfilm copies of the newspapers are scanned and high resolution Optical Character Recognition (OCR) software is run on them. The text from the OC... |
2208.06722 | Efstratios Chatzoglou | Efstratios Chatzoglou, Vasileios Kouliaridis, Georgios Kambourakis,
Georgios Karopoulos and Stefanos Gritzalis | A hands-on gaze on HTTP/3 security through the lens of HTTP/2 and a
public dataset | null | null | 10.1016/j.cose.2022.103051 | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Following QUIC protocol ratification on May 2021, the third major version of
the Hypertext Transfer Protocol, namely HTTP/3, was published around one year
later in RFC 9114. In light of these consequential advancements, the current
work aspires to provide a full-blown coverage of the following issues, which to
our kn... | [
{
"created": "Sat, 13 Aug 2022 20:10:49 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Dec 2022 23:40:41 GMT",
"version": "v2"
}
] | 2022-12-13 | [
[
"Chatzoglou",
"Efstratios",
""
],
[
"Kouliaridis",
"Vasileios",
""
],
[
"Kambourakis",
"Georgios",
""
],
[
"Karopoulos",
"Georgios",
""
],
[
"Gritzalis",
"Stefanos",
""
]
] | Following QUIC protocol ratification on May 2021, the third major version of the Hypertext Transfer Protocol, namely HTTP/3, was published around one year later in RFC 9114. In light of these consequential advancements, the current work aspires to provide a full-blown coverage of the following issues, which to our know... |
1804.01675 | Andrew Paplinski | Yanan Li, Haixiang Guo, Andrew P Paplinski | Semi-Supervised Classification for oil reservoir | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the general problem of accurate identification of oil
reservoirs. Recent improvements in well or borehole logging technology have
resulted in an explosive amount of data available for processing. The
traditional methods of analysis of the logs characteristics by experts require
significant amount... | [
{
"created": "Thu, 5 Apr 2018 05:41:39 GMT",
"version": "v1"
}
] | 2018-04-06 | [
[
"Li",
"Yanan",
""
],
[
"Guo",
"Haixiang",
""
],
[
"Paplinski",
"Andrew P",
""
]
] | This paper addresses the general problem of accurate identification of oil reservoirs. Recent improvements in well or borehole logging technology have resulted in an explosive amount of data available for processing. The traditional methods of analysis of the logs characteristics by experts require significant amount o... |
1906.06003 | Hongyu Lin | Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun | Cost-sensitive Regularization for Label Confusion-aware Event Detection | Accepted to ACL2019 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In supervised event detection, most of the mislabeling occurs between a small
number of confusing type pairs, including trigger-NIL pairs and sibling
sub-types of the same coarse type. To address this label confusion problem,
this paper proposes cost-sensitive regularization, which can force the training
procedure to... | [
{
"created": "Fri, 14 Jun 2019 03:27:11 GMT",
"version": "v1"
}
] | 2019-06-17 | [
[
"Lin",
"Hongyu",
""
],
[
"Lu",
"Yaojie",
""
],
[
"Han",
"Xianpei",
""
],
[
"Sun",
"Le",
""
]
] | In supervised event detection, most of the mislabeling occurs between a small number of confusing type pairs, including trigger-NIL pairs and sibling sub-types of the same coarse type. To address this label confusion problem, this paper proposes cost-sensitive regularization, which can force the training procedure to c... |
1509.03564 | Brian Ruttenberg | Avi Pfeffer, Brian Ruttenberg, Amy Sliva, Michael Howard, Glenn Takata | Lazy Factored Inference for Functional Probabilistic Programming | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Probabilistic programming provides the means to represent and reason about
complex probabilistic models using programming language constructs. Even simple
probabilistic programs can produce models with infinitely many variables.
Factored inference algorithms are widely used for probabilistic graphical
models, but can... | [
{
"created": "Fri, 11 Sep 2015 15:45:39 GMT",
"version": "v1"
}
] | 2015-09-14 | [
[
"Pfeffer",
"Avi",
""
],
[
"Ruttenberg",
"Brian",
""
],
[
"Sliva",
"Amy",
""
],
[
"Howard",
"Michael",
""
],
[
"Takata",
"Glenn",
""
]
] | Probabilistic programming provides the means to represent and reason about complex probabilistic models using programming language constructs. Even simple probabilistic programs can produce models with infinitely many variables. Factored inference algorithms are widely used for probabilistic graphical models, but canno... |
1503.00306 | Xin Luna Dong | Ravali Pochampally and Anish Das Sarma and Xin Luna Dong and Alexandra
Meliou and Divesh Srivastava | Fusing Data with Correlations | Sigmod'2014 | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many applications rely on Web data and extraction systems to accomplish
knowledge-driven tasks. Web information is not curated, so many sources provide
inaccurate, or conflicting information. Moreover, extraction systems introduce
additional noise to the data. We wish to automatically distinguish correct data
and err... | [
{
"created": "Sun, 1 Mar 2015 16:52:55 GMT",
"version": "v1"
}
] | 2015-03-03 | [
[
"Pochampally",
"Ravali",
""
],
[
"Sarma",
"Anish Das",
""
],
[
"Dong",
"Xin Luna",
""
],
[
"Meliou",
"Alexandra",
""
],
[
"Srivastava",
"Divesh",
""
]
] | Many applications rely on Web data and extraction systems to accomplish knowledge-driven tasks. Web information is not curated, so many sources provide inaccurate, or conflicting information. Moreover, extraction systems introduce additional noise to the data. We wish to automatically distinguish correct data and erron... |
2301.04003 | Qichen Wang | Qichen Wang, Xiao Hu, Binyang Dai and Ke Yi | Change Propagation Without Joins | Full version of the VLDB paper, correcting some errors from the
original paper | null | 10.14778/3579075.3579080 | null | cs.DB cs.DS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We revisit the classical change propagation framework for query evaluation
under updates. The standard framework takes a query plan and materializes the
intermediate views, which incurs high polynomial costs in both space and time,
with the join operator being the culprit. In this paper, we propose a new
change propa... | [
{
"created": "Tue, 10 Jan 2023 14:50:31 GMT",
"version": "v1"
},
{
"created": "Sat, 2 Dec 2023 07:56:18 GMT",
"version": "v2"
}
] | 2023-12-05 | [
[
"Wang",
"Qichen",
""
],
[
"Hu",
"Xiao",
""
],
[
"Dai",
"Binyang",
""
],
[
"Yi",
"Ke",
""
]
] | We revisit the classical change propagation framework for query evaluation under updates. The standard framework takes a query plan and materializes the intermediate views, which incurs high polynomial costs in both space and time, with the join operator being the culprit. In this paper, we propose a new change propaga... |
2309.03974 | Alec Flowers | Pau Mulet Arabi, Alec Flowers, Lukas Mauch, Fabien Cardinaux | DBsurf: A Discrepancy Based Method for Discrete Stochastic Gradient
Estimation | 22 pages, 7 figures | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Computing gradients of an expectation with respect to the distributional
parameters of a discrete distribution is a problem arising in many fields of
science and engineering. Typically, this problem is tackled using Reinforce,
which frames the problem of gradient estimation as a Monte Carlo simulation.
Unfortunately,... | [
{
"created": "Thu, 7 Sep 2023 19:15:40 GMT",
"version": "v1"
}
] | 2023-09-11 | [
[
"Arabi",
"Pau Mulet",
""
],
[
"Flowers",
"Alec",
""
],
[
"Mauch",
"Lukas",
""
],
[
"Cardinaux",
"Fabien",
""
]
] | Computing gradients of an expectation with respect to the distributional parameters of a discrete distribution is a problem arising in many fields of science and engineering. Typically, this problem is tackled using Reinforce, which frames the problem of gradient estimation as a Monte Carlo simulation. Unfortunately, t... |
1602.00955 | Dengxin Dai | Dengxin Dai, Luc Van Gool | Unsupervised High-level Feature Learning by Ensemble Projection for
Semi-supervised Image Classification and Image Clustering | 22 pages, 8 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates the problem of image classification with limited or
no annotations, but abundant unlabeled data. The setting exists in many tasks
such as semi-supervised image classification, image clustering, and image
retrieval. Unlike previous methods, which develop or learn sophisticated
regularizers for ... | [
{
"created": "Tue, 2 Feb 2016 14:53:36 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Feb 2016 13:58:00 GMT",
"version": "v2"
}
] | 2016-02-05 | [
[
"Dai",
"Dengxin",
""
],
[
"Van Gool",
"Luc",
""
]
] | This paper investigates the problem of image classification with limited or no annotations, but abundant unlabeled data. The setting exists in many tasks such as semi-supervised image classification, image clustering, and image retrieval. Unlike previous methods, which develop or learn sophisticated regularizers for cl... |
2004.04069 | Peter Hancock | P. J. B. Hancock, R. S. Somai and V. R. Mileva | Convolutional neural net face recognition works in non-human-like ways | 8 pages, 2 figures. Submitted to Royal Society Open Science | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Convolutional neural networks (CNNs) give state of the art performance in
many pattern recognition problems but can be fooled by carefully crafted
patterns of noise. We report that CNN face recognition systems also make
surprising "errors". We tested six commercial face recognition CNNs and found
that they outperform... | [
{
"created": "Wed, 8 Apr 2020 15:42:14 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Jun 2020 11:59:06 GMT",
"version": "v2"
}
] | 2020-06-24 | [
[
"Hancock",
"P. J. B.",
""
],
[
"Somai",
"R. S.",
""
],
[
"Mileva",
"V. R.",
""
]
] | Convolutional neural networks (CNNs) give state of the art performance in many pattern recognition problems but can be fooled by carefully crafted patterns of noise. We report that CNN face recognition systems also make surprising "errors". We tested six commercial face recognition CNNs and found that they outperform t... |
1702.02805 | Qi Guo | Qi Guo, Ce Zhu, Zhiqiang Xia, Zhengtao Wang, Yipeng Liu | Attribute-controlled face photo synthesis from simple line drawing | 5 pages, 5 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Face photo synthesis from simple line drawing is a one-to-many task as simple
line drawing merely contains the contour of human face. Previous exemplar-based
methods are over-dependent on the datasets and are hard to generalize to
complicated natural scenes. Recently, several works utilize deep neural
networks to inc... | [
{
"created": "Thu, 9 Feb 2017 12:21:36 GMT",
"version": "v1"
}
] | 2017-02-10 | [
[
"Guo",
"Qi",
""
],
[
"Zhu",
"Ce",
""
],
[
"Xia",
"Zhiqiang",
""
],
[
"Wang",
"Zhengtao",
""
],
[
"Liu",
"Yipeng",
""
]
] | Face photo synthesis from simple line drawing is a one-to-many task as simple line drawing merely contains the contour of human face. Previous exemplar-based methods are over-dependent on the datasets and are hard to generalize to complicated natural scenes. Recently, several works utilize deep neural networks to incre... |
2310.00405 | Chengming Feng | Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu
and Siwei Lyu | Controlling Neural Style Transfer with Deep Reinforcement Learning | Accepted by IJCAI 2023. The contributions of Chengming Feng and Jing
Hu to this paper were equal. arXiv admin note: substantial text overlap with
arXiv:2309.13672 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Controlling the degree of stylization in the Neural Style Transfer (NST) is a
little tricky since it usually needs hand-engineering on hyper-parameters. In
this paper, we propose the first deep Reinforcement Learning (RL) based
architecture that splits one-step style transfer into a step-wise process for
the NST task... | [
{
"created": "Sat, 30 Sep 2023 15:01:02 GMT",
"version": "v1"
}
] | 2024-08-15 | [
[
"Feng",
"Chengming",
""
],
[
"Hu",
"Jing",
""
],
[
"Wang",
"Xin",
""
],
[
"Hu",
"Shu",
""
],
[
"Zhu",
"Bin",
""
],
[
"Wu",
"Xi",
""
],
[
"Zhu",
"Hongtu",
""
],
[
"Lyu",
"Siwei",
""
]
] | Controlling the degree of stylization in the Neural Style Transfer (NST) is a little tricky since it usually needs hand-engineering on hyper-parameters. In this paper, we propose the first deep Reinforcement Learning (RL) based architecture that splits one-step style transfer into a step-wise process for the NST task. ... |
2203.07983 | Evan Crothers | Evan Crothers, Nathalie Japkowicz, Herna Viktor, Paula Branco | Adversarial Robustness of Neural-Statistical Features in Detection of
Generative Transformers | null | null | 10.1109/IJCNN55064.2022.9892269 | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The detection of computer-generated text is an area of rapidly increasing
significance as nascent generative models allow for efficient creation of
compelling human-like text, which may be abused for the purposes of spam,
disinformation, phishing, or online influence campaigns. Past work has studied
detection of curr... | [
{
"created": "Wed, 2 Mar 2022 16:46:39 GMT",
"version": "v1"
}
] | 2022-10-05 | [
[
"Crothers",
"Evan",
""
],
[
"Japkowicz",
"Nathalie",
""
],
[
"Viktor",
"Herna",
""
],
[
"Branco",
"Paula",
""
]
] | The detection of computer-generated text is an area of rapidly increasing significance as nascent generative models allow for efficient creation of compelling human-like text, which may be abused for the purposes of spam, disinformation, phishing, or online influence campaigns. Past work has studied detection of curren... |
2011.11716 | Pingakshya Goswami | Pingakshya Goswami and Dinesh Bhatia | Automated Floorplanning for Partially Reconfigurable Designs on
Heterogenrous FPGAs | This paper was accepted as a poster in ACM SIGDA International
Symposium on FPGA, 2016 | null | 10.1145/2847263.2847323 | null | cs.AR | http://creativecommons.org/licenses/by-sa/4.0/ | Floorplanning problem has been extensively explored for homogeneous FPGAs.
Most modern FPGAs consist of heterogeneous resources in the form of
configurable logic blocks, DSP blocks, BRAMs and more. Very little work has
been done for heterogeneous FPGAs. In addition, features like partial
reconfigurability allow on-th... | [
{
"created": "Mon, 23 Nov 2020 20:41:03 GMT",
"version": "v1"
}
] | 2020-11-25 | [
[
"Goswami",
"Pingakshya",
""
],
[
"Bhatia",
"Dinesh",
""
]
] | Floorplanning problem has been extensively explored for homogeneous FPGAs. Most modern FPGAs consist of heterogeneous resources in the form of configurable logic blocks, DSP blocks, BRAMs and more. Very little work has been done for heterogeneous FPGAs. In addition, features like partial reconfigurability allow on-the-... |
2305.01074 | Kien Thanh Nguyen | Kien Nguyen, Tharindu Fernando, Clinton Fookes, Sridha Sridharan | Physical Adversarial Attacks for Surveillance: A Survey | This paper has been accepted for publication in T-NNLS | null | 10.1109/TNNLS.2023.3321432 | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Modern automated surveillance techniques are heavily reliant on deep learning
methods. Despite the superior performance, these learning systems are
inherently vulnerable to adversarial attacks - maliciously crafted inputs that
are designed to mislead, or trick, models into making incorrect predictions. An
adversary c... | [
{
"created": "Mon, 1 May 2023 20:19:59 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Sep 2023 13:43:21 GMT",
"version": "v2"
},
{
"created": "Sat, 14 Oct 2023 06:56:54 GMT",
"version": "v3"
}
] | 2023-10-17 | [
[
"Nguyen",
"Kien",
""
],
[
"Fernando",
"Tharindu",
""
],
[
"Fookes",
"Clinton",
""
],
[
"Sridharan",
"Sridha",
""
]
] | Modern automated surveillance techniques are heavily reliant on deep learning methods. Despite the superior performance, these learning systems are inherently vulnerable to adversarial attacks - maliciously crafted inputs that are designed to mislead, or trick, models into making incorrect predictions. An adversary can... |
1706.10260 | Jie Wang | Konstantinos Gourgoulias, Markos A. Katsoulakis, Luc Rey-Bellet and
Jie Wang | How biased is your model? Concentration Inequalities, Information and
Model Bias | null | null | null | null | cs.IT math.IT math.PR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We derive tight and computable bounds on the bias of statistical estimators,
or more generally of quantities of interest, when evaluated on a baseline model
P rather than on the typically unknown true model Q. Our proposed method
combines the scalable information inequality derived by P. Dupuis, K.Chowdhary,
the auth... | [
{
"created": "Fri, 30 Jun 2017 16:19:42 GMT",
"version": "v1"
}
] | 2017-07-04 | [
[
"Gourgoulias",
"Konstantinos",
""
],
[
"Katsoulakis",
"Markos A.",
""
],
[
"Rey-Bellet",
"Luc",
""
],
[
"Wang",
"Jie",
""
]
] | We derive tight and computable bounds on the bias of statistical estimators, or more generally of quantities of interest, when evaluated on a baseline model P rather than on the typically unknown true model Q. Our proposed method combines the scalable information inequality derived by P. Dupuis, K.Chowdhary, the author... |
2112.10070 | Jingye Li | Jingye Li, Hao Fei, Jiang Liu, Shengqiong Wu, Meishan Zhang, Chong
Teng, Donghong Ji, Fei Li | Unified Named Entity Recognition as Word-Word Relation Classification | Accepted by AAAI'22 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | So far, named entity recognition (NER) has been involved with three major
types, including flat, overlapped (aka. nested), and discontinuous NER, which
have mostly been studied individually. Recently, a growing interest has been
built for unified NER, tackling the above three jobs concurrently with one
single model. ... | [
{
"created": "Sun, 19 Dec 2021 06:11:07 GMT",
"version": "v1"
}
] | 2021-12-21 | [
[
"Li",
"Jingye",
""
],
[
"Fei",
"Hao",
""
],
[
"Liu",
"Jiang",
""
],
[
"Wu",
"Shengqiong",
""
],
[
"Zhang",
"Meishan",
""
],
[
"Teng",
"Chong",
""
],
[
"Ji",
"Donghong",
""
],
[
"Li",
"Fei",
... | So far, named entity recognition (NER) has been involved with three major types, including flat, overlapped (aka. nested), and discontinuous NER, which have mostly been studied individually. Recently, a growing interest has been built for unified NER, tackling the above three jobs concurrently with one single model. Cu... |
2302.11051 | Tiansheng Huang | Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao | Fusion of Global and Local Knowledge for Personalized Federated Learning | Accepted by TMLR | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Personalized federated learning, as a variant of federated learning, trains
customized models for clients using their heterogeneously distributed data.
However, it is still inconclusive about how to design personalized models with
better representation of shared global knowledge and personalized pattern. To
bridge th... | [
{
"created": "Tue, 21 Feb 2023 23:09:45 GMT",
"version": "v1"
}
] | 2023-02-23 | [
[
"Huang",
"Tiansheng",
""
],
[
"Shen",
"Li",
""
],
[
"Sun",
"Yan",
""
],
[
"Lin",
"Weiwei",
""
],
[
"Tao",
"Dacheng",
""
]
] | Personalized federated learning, as a variant of federated learning, trains customized models for clients using their heterogeneously distributed data. However, it is still inconclusive about how to design personalized models with better representation of shared global knowledge and personalized pattern. To bridge the ... |
2403.16161 | Hao Tang | Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool | Towards Online Real-Time Memory-based Video Inpainting Transformers | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video inpainting tasks have seen significant improvements in recent years
with the rise of deep neural networks and, in particular, vision transformers.
Although these models show promising reconstruction quality and temporal
consistency, they are still unsuitable for live videos, one of the last steps
to make them c... | [
{
"created": "Sun, 24 Mar 2024 14:02:25 GMT",
"version": "v1"
}
] | 2024-03-26 | [
[
"Thiry",
"Guillaume",
""
],
[
"Tang",
"Hao",
""
],
[
"Timofte",
"Radu",
""
],
[
"Van Gool",
"Luc",
""
]
] | Video inpainting tasks have seen significant improvements in recent years with the rise of deep neural networks and, in particular, vision transformers. Although these models show promising reconstruction quality and temporal consistency, they are still unsuitable for live videos, one of the last steps to make them com... |
2306.08173 | Peihan Liu | Alyssa Huang, Peihan Liu, Ryumei Nakada, Linjun Zhang, Wanrong Zhang | Safeguarding Data in Multimodal AI: A Differentially Private Approach to
CLIP Training | null | null | null | null | cs.LG cs.CR cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The surge in multimodal AI's success has sparked concerns over data privacy
in vision-and-language tasks. While CLIP has revolutionized multimodal learning
through joint training on images and text, its potential to unintentionally
disclose sensitive information necessitates the integration of
privacy-preserving mech... | [
{
"created": "Tue, 13 Jun 2023 23:32:09 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Mar 2024 04:24:04 GMT",
"version": "v2"
}
] | 2024-03-04 | [
[
"Huang",
"Alyssa",
""
],
[
"Liu",
"Peihan",
""
],
[
"Nakada",
"Ryumei",
""
],
[
"Zhang",
"Linjun",
""
],
[
"Zhang",
"Wanrong",
""
]
] | The surge in multimodal AI's success has sparked concerns over data privacy in vision-and-language tasks. While CLIP has revolutionized multimodal learning through joint training on images and text, its potential to unintentionally disclose sensitive information necessitates the integration of privacy-preserving mechan... |
2212.05505 | Xiaohui Jiang | Shihao Wang, Xiaohui Jiang, Ying Li | Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object
Detection | Tech Report | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The dominant multi-camera 3D detection paradigm is based on explicit 3D
feature construction, which requires complicated indexing of local image-view
features via 3D-to-2D projection. Other methods implicitly introduce geometric
positional encoding and perform global attention (e.g., PETR) to build the
relationship b... | [
{
"created": "Sun, 11 Dec 2022 13:38:54 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Dec 2022 09:28:01 GMT",
"version": "v2"
}
] | 2022-12-14 | [
[
"Wang",
"Shihao",
""
],
[
"Jiang",
"Xiaohui",
""
],
[
"Li",
"Ying",
""
]
] | The dominant multi-camera 3D detection paradigm is based on explicit 3D feature construction, which requires complicated indexing of local image-view features via 3D-to-2D projection. Other methods implicitly introduce geometric positional encoding and perform global attention (e.g., PETR) to build the relationship bet... |
2205.02129 | Jinlan Fu | Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu | Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset
Evaluation for Text Classification | 9 pages, 9 figures | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper, we ask the research question of whether all the datasets in
the benchmark are necessary. We approach this by first characterizing the
distinguishability of datasets when comparing different systems. Experiments on
9 datasets and 36 systems show that several existing benchmark datasets
contribute little... | [
{
"created": "Wed, 4 May 2022 15:33:00 GMT",
"version": "v1"
}
] | 2022-05-05 | [
[
"Xiao",
"Yang",
""
],
[
"Fu",
"Jinlan",
""
],
[
"Ng",
"See-Kiong",
""
],
[
"Liu",
"Pengfei",
""
]
] | In this paper, we ask the research question of whether all the datasets in the benchmark are necessary. We approach this by first characterizing the distinguishability of datasets when comparing different systems. Experiments on 9 datasets and 36 systems show that several existing benchmark datasets contribute little t... |
2011.04000 | Ashutosh Modi | Ishika Singh and Ahsan Barkati and Tushar Goswamy and Ashutosh Modi | Adapting a Language Model for Controlled Affective Text Generation | 15 Pages (9 + 2 (references) + 4 (appendix)), accepted at COLING 2020 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Human use language not just to convey information but also to express their
inner feelings and mental states. In this work, we adapt the state-of-the-art
language generation models to generate affective (emotional) text. We posit a
model capable of generating affect-driven and topic-focused sentences without
losing g... | [
{
"created": "Sun, 8 Nov 2020 15:24:39 GMT",
"version": "v1"
}
] | 2020-11-10 | [
[
"Singh",
"Ishika",
""
],
[
"Barkati",
"Ahsan",
""
],
[
"Goswamy",
"Tushar",
""
],
[
"Modi",
"Ashutosh",
""
]
] | Human use language not just to convey information but also to express their inner feelings and mental states. In this work, we adapt the state-of-the-art language generation models to generate affective (emotional) text. We posit a model capable of generating affect-driven and topic-focused sentences without losing gra... |
2101.06570 | Iyiola E. Olatunji | Iyiola E. Olatunji, Wolfgang Nejdl and Megha Khosla | Membership Inference Attack on Graph Neural Networks | Best student paper award, IEEE TPS 21 | null | null | null | cs.LG cs.CR | http://creativecommons.org/licenses/by/4.0/ | Graph Neural Networks (GNNs), which generalize traditional deep neural
networks on graph data, have achieved state-of-the-art performance on several
graph analytical tasks. We focus on how trained GNN models could leak
information about the \emph{member} nodes that they were trained on. We
introduce two realistic set... | [
{
"created": "Sun, 17 Jan 2021 02:12:35 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Mar 2021 21:12:16 GMT",
"version": "v2"
},
{
"created": "Sat, 18 Dec 2021 06:42:38 GMT",
"version": "v3"
}
] | 2021-12-21 | [
[
"Olatunji",
"Iyiola E.",
""
],
[
"Nejdl",
"Wolfgang",
""
],
[
"Khosla",
"Megha",
""
]
] | Graph Neural Networks (GNNs), which generalize traditional deep neural networks on graph data, have achieved state-of-the-art performance on several graph analytical tasks. We focus on how trained GNN models could leak information about the \emph{member} nodes that they were trained on. We introduce two realistic setti... |
1912.10170 | Joeran Beel | Dominika Tkaczyk, Andrew Collins, Joeran Beel | Na\"iveRole: Author-Contribution Extraction and Parsing from Biomedical
Manuscripts | arXiv admin note: substantial text overlap with arXiv:1802.01174 | 27th AIAI Irish Conference on Artificial Intelligence and
Cognitive Science, 2019 | null | null | cs.CL cs.DL cs.IR cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Information about the contributions of individual authors to scientific
publications is important for assessing authors' achievements. Some biomedical
publications have a short section that describes authors' roles and
contributions. It is usually written in natural language and hence author
contributions cannot be t... | [
{
"created": "Sun, 15 Dec 2019 14:37:06 GMT",
"version": "v1"
}
] | 2019-12-24 | [
[
"Tkaczyk",
"Dominika",
""
],
[
"Collins",
"Andrew",
""
],
[
"Beel",
"Joeran",
""
]
] | Information about the contributions of individual authors to scientific publications is important for assessing authors' achievements. Some biomedical publications have a short section that describes authors' roles and contributions. It is usually written in natural language and hence author contributions cannot be tri... |
1808.02517 | Jelena Diakonikolas | Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia | Fair Packing and Covering on a Relative Scale | To appear in SIAM Journal on Optimization | null | null | null | cs.DS cs.NI math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fair resource allocation is a fundamental optimization problem with
applications in operations research, networking, and economic and game theory.
Research in these areas has led to the general acceptance of a class of
$\alpha$-fair utility functions parameterized by $\alpha \in [0, \infty]$. We
consider $\alpha$-fai... | [
{
"created": "Tue, 7 Aug 2018 18:55:04 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Nov 2018 18:02:14 GMT",
"version": "v2"
},
{
"created": "Sun, 15 Nov 2020 20:18:18 GMT",
"version": "v3"
}
] | 2020-11-17 | [
[
"Diakonikolas",
"Jelena",
""
],
[
"Fazel",
"Maryam",
""
],
[
"Orecchia",
"Lorenzo",
""
]
] | Fair resource allocation is a fundamental optimization problem with applications in operations research, networking, and economic and game theory. Research in these areas has led to the general acceptance of a class of $\alpha$-fair utility functions parameterized by $\alpha \in [0, \infty]$. We consider $\alpha$-fair ... |
1010.2000 | Julien Langou | Henricus Bouwmeester and Julien Langou | A Critical Path Approach to Analyzing Parallelism of Algorithmic
Variants. Application to Cholesky Inversion | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Algorithms come with multiple variants which are obtained by changing the
mathematical approach from which the algorithm is derived. These variants offer
a wide spectrum of performance when implemented on a multicore platform and we
seek to understand these differences in performances from a theoretical point
of view... | [
{
"created": "Mon, 11 Oct 2010 05:34:40 GMT",
"version": "v1"
}
] | 2010-10-12 | [
[
"Bouwmeester",
"Henricus",
""
],
[
"Langou",
"Julien",
""
]
] | Algorithms come with multiple variants which are obtained by changing the mathematical approach from which the algorithm is derived. These variants offer a wide spectrum of performance when implemented on a multicore platform and we seek to understand these differences in performances from a theoretical point of view. ... |
2211.02006 | Yang Liu | Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao
Shi, Jianping Fan, Zhiqiang He | SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based
Transformer Detector for Fast Model Convergency | CVPR 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, the dominant DETR-based approaches apply central-concept spatial
prior to accelerate Transformer detector convergency. These methods gradually
refine the reference points to the center of target objects and imbue object
queries with the updated central reference information for spatially
conditional attenti... | [
{
"created": "Thu, 3 Nov 2022 17:20:55 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Mar 2023 18:19:12 GMT",
"version": "v2"
}
] | 2023-03-17 | [
[
"Liu",
"Yang",
""
],
[
"Zhang",
"Yao",
""
],
[
"Wang",
"Yixin",
""
],
[
"Zhang",
"Yang",
""
],
[
"Tian",
"Jiang",
""
],
[
"Shi",
"Zhongchao",
""
],
[
"Fan",
"Jianping",
""
],
[
"He",
"Zhiqiang",... | Recently, the dominant DETR-based approaches apply central-concept spatial prior to accelerate Transformer detector convergency. These methods gradually refine the reference points to the center of target objects and imbue object queries with the updated central reference information for spatially conditional attention... |
2406.18625 | Liming Wang | Liming Wang, Yuan Gong, Nauman Dawalatabad, Marco Vilela, Katerina
Placek, Brian Tracey, Yishu Gong, Alan Premasiri, Fernando Vieira, James
Glass | Automatic Prediction of Amyotrophic Lateral Sclerosis Progression using
Longitudinal Speech Transformer | null | null | null | null | cs.SD cs.AI eess.AS | http://creativecommons.org/licenses/by/4.0/ | Automatic prediction of amyotrophic lateral sclerosis (ALS) disease
progression provides a more efficient and objective alternative than manual
approaches. We propose ALS longitudinal speech transformer (ALST), a neural
network-based automatic predictor of ALS disease progression from longitudinal
speech recordings o... | [
{
"created": "Wed, 26 Jun 2024 13:28:24 GMT",
"version": "v1"
}
] | 2024-06-28 | [
[
"Wang",
"Liming",
""
],
[
"Gong",
"Yuan",
""
],
[
"Dawalatabad",
"Nauman",
""
],
[
"Vilela",
"Marco",
""
],
[
"Placek",
"Katerina",
""
],
[
"Tracey",
"Brian",
""
],
[
"Gong",
"Yishu",
""
],
[
"Prema... | Automatic prediction of amyotrophic lateral sclerosis (ALS) disease progression provides a more efficient and objective alternative than manual approaches. We propose ALS longitudinal speech transformer (ALST), a neural network-based automatic predictor of ALS disease progression from longitudinal speech recordings of ... |
2401.10778 | Lars Van Den Haak MSc | Lars B. van den Haak, Anton Wijs, Marieke Huisman, Mark van den Brand | HaliVer: Deductive Verification and Scheduling Languages Join Forces | null | null | null | null | cs.LO cs.PL | http://creativecommons.org/licenses/by/4.0/ | The HaliVer tool integrates deductive verification into the popular
scheduling language Halide, used for image processing pipelines and array
computations. HaliVer uses Vercors, a separation logic-based verifier, to
verify the correctness of (1) the Halide algorithms and (2) the optimised
parallel code produced by \h... | [
{
"created": "Fri, 19 Jan 2024 15:53:27 GMT",
"version": "v1"
}
] | 2024-01-22 | [
[
"Haak",
"Lars B. van den",
""
],
[
"Wijs",
"Anton",
""
],
[
"Huisman",
"Marieke",
""
],
[
"Brand",
"Mark van den",
""
]
] | The HaliVer tool integrates deductive verification into the popular scheduling language Halide, used for image processing pipelines and array computations. HaliVer uses Vercors, a separation logic-based verifier, to verify the correctness of (1) the Halide algorithms and (2) the optimised parallel code produced by \hal... |
1512.03623 | Aysegul Yayimli | Aysegul Yayimli | A Practical Layered Model for Flexible-grid Optical Networks to Reduce
the Routing Complexity | 3 pages, 2 figures | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article proposes a new layered model to represent the spectrum
assignment on flexible-grid optical networks. This model can reduce the
time-complexity of existing routing and spectrum assignment methods by
providing a data structure that captures the current spectrum usage of the
network links.
| [
{
"created": "Fri, 11 Dec 2015 12:38:07 GMT",
"version": "v1"
}
] | 2015-12-14 | [
[
"Yayimli",
"Aysegul",
""
]
] | This article proposes a new layered model to represent the spectrum assignment on flexible-grid optical networks. This model can reduce the time-complexity of existing routing and spectrum assignment methods by providing a data structure that captures the current spectrum usage of the network links. |
1407.4879 | Wayes Tushar | Wayes Tushar, Shisheng Huang, Chau Yuen, Jian (Andrew) Zhang and David
B. Smith | Synthetic Generation of Solar States for Smart Grid: A Multiple Segment
Markov Chain Apptoach | 6 pages, 4 figures, conference paper | null | null | null | cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The use of photovoltaic (PV) sources is becoming very popular in smart grid
for their ecological benefits, with higher scalability and utilization for
local generation and delivery. PV can also potentially avoid the energy losses
that are normally associated with long-range grid distribution. The increased
penetratio... | [
{
"created": "Fri, 18 Jul 2014 03:09:59 GMT",
"version": "v1"
}
] | 2014-07-21 | [
[
"Tushar",
"Wayes",
"",
"Andrew"
],
[
"Huang",
"Shisheng",
"",
"Andrew"
],
[
"Yuen",
"Chau",
"",
"Andrew"
],
[
"Jian",
"",
"",
"Andrew"
],
[
"Zhang",
"",
""
],
[
"Smith",
"David B.",
""
]
] | The use of photovoltaic (PV) sources is becoming very popular in smart grid for their ecological benefits, with higher scalability and utilization for local generation and delivery. PV can also potentially avoid the energy losses that are normally associated with long-range grid distribution. The increased penetration ... |
2205.10031 | Boxuan Chen | Boxuan Chen, Ruifeng Zhang, Shaochu Wang, Liqiang Zhang, Yu Liu | Deep Learning-based Inertial Odometry for Pedestrian Tracking using
Attention Mechanism and Res2Net Module | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pedestrian dead reckoning is a challenging task due to the low-cost inertial
sensor error accumulation. Recent research has shown that deep learning methods
can achieve impressive performance in handling this issue. In this letter, we
propose inertial odometry using a deep learning-based velocity estimation
method. T... | [
{
"created": "Fri, 20 May 2022 09:00:25 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Jun 2022 05:22:00 GMT",
"version": "v2"
}
] | 2022-06-09 | [
[
"Chen",
"Boxuan",
""
],
[
"Zhang",
"Ruifeng",
""
],
[
"Wang",
"Shaochu",
""
],
[
"Zhang",
"Liqiang",
""
],
[
"Liu",
"Yu",
""
]
] | Pedestrian dead reckoning is a challenging task due to the low-cost inertial sensor error accumulation. Recent research has shown that deep learning methods can achieve impressive performance in handling this issue. In this letter, we propose inertial odometry using a deep learning-based velocity estimation method. The... |
2002.03049 | Yuliang Li | Zhengjie Miao, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan | Snippext: Semi-supervised Opinion Mining with Augmented Data | Accepted to WWW 2020 | null | 10.1145/3366423.3380144 | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online services are interested in solutions to opinion mining, which is the
problem of extracting aspects, opinions, and sentiments from text. One method
to mine opinions is to leverage the recent success of pre-trained language
models which can be fine-tuned to obtain high-quality extractions from reviews.
However, ... | [
{
"created": "Fri, 7 Feb 2020 23:54:23 GMT",
"version": "v1"
}
] | 2020-02-11 | [
[
"Miao",
"Zhengjie",
""
],
[
"Li",
"Yuliang",
""
],
[
"Wang",
"Xiaolan",
""
],
[
"Tan",
"Wang-Chiew",
""
]
] | Online services are interested in solutions to opinion mining, which is the problem of extracting aspects, opinions, and sentiments from text. One method to mine opinions is to leverage the recent success of pre-trained language models which can be fine-tuned to obtain high-quality extractions from reviews. However, fi... |
2303.01668 | Chuheng Zhang | Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan,
Longbo Huang | RePreM: Representation Pre-training with Masked Model for Reinforcement
Learning | Accepted by AAAI-23 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inspired by the recent success of sequence modeling in RL and the use of
masked language model for pre-training, we propose a masked model for
pre-training in RL, RePreM (Representation Pre-training with Masked Model),
which trains the encoder combined with transformer blocks to predict the masked
states or actions i... | [
{
"created": "Fri, 3 Mar 2023 02:04:14 GMT",
"version": "v1"
}
] | 2023-03-06 | [
[
"Cai",
"Yuanying",
""
],
[
"Zhang",
"Chuheng",
""
],
[
"Shen",
"Wei",
""
],
[
"Zhang",
"Xuyun",
""
],
[
"Ruan",
"Wenjie",
""
],
[
"Huang",
"Longbo",
""
]
] | Inspired by the recent success of sequence modeling in RL and the use of masked language model for pre-training, we propose a masked model for pre-training in RL, RePreM (Representation Pre-training with Masked Model), which trains the encoder combined with transformer blocks to predict the masked states or actions in ... |
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