Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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38,821 to 38,880 of 61,351

Is Homophily a Necessity for Graph Neural Networks?
Yao Ma, Xiaorui Liu, Neil Shah +1
cs.LGstat.MLarXiv:2106.06134v42021
Prediction-Powered Inference
Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang +2
stat.MLcs.AIcs.LGarXiv:2301.09633v42023
A Survey on Quantum Channel Capacities
Laszlo Gyongyosi, Sandor Imre, Hung Viet Nguyen
quant-phcs.ITarXiv:1801.02019v12018
Projected GANs Converge Faster
Axel Sauer, Kashyap Chitta, Jens Müller +1
cs.CVcs.LGarXiv:2111.01007v12021
Deep Network Approximation for Smooth Functions
Jianfeng Lu, Zuowei Shen, Haizhao Yang +1
cs.LGmath.NAstat.MLarXiv:2001.03040v82020
Communication Compression for Decentralized Training
Hanlin Tang, Shaoduo Gan, Ce Zhang +2
cs.LGcs.DCeess.SYarXiv:1803.06443v52018
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
Wenqiang Zhang, Zilong Huang, Guozhong Luo +5
cs.CVarXiv:2204.05525v12022
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery
Namrata Vaswani, Thierry Bouwmans, Sajid Javed +1
cs.ITcs.CVstat.MEarXiv:1711.09492v42017
Latent Action Pretraining from Videos
Seonghyeon Ye, Joel Jang, Byeongguk Jeon +13
cs.ROcs.CLcs.CVarXiv:2410.11758v22024
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
Hongkai Chen, Zixin Luo, Lei Zhou +6
cs.CVarXiv:2208.14201v12022
LSQ+: Improving low-bit quantization through learnable offsets and better initialization
Yash Bhalgat, Jinwon Lee, Markus Nagel +2
cs.CVcs.LGstat.MLarXiv:2004.09576v12020
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
Tao Chen, Damian Borth, Trevor Darrell +1
cs.CVcs.LGcs.MMarXiv:1410.8586v12014
End-to-End Speech Recognition: A Survey
Rohit Prabhavalkar, Takaaki Hori, Tara N. Sainath +2
eess.AScs.CLcs.SDarXiv:2303.03329v12023
A combined first and second order variational approach for image reconstruction
Konstantinos Papafitsoros, Carola-Bibiane Schönlieb
math.NAarXiv:1202.6341v22012
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
Gregory Kahn, Adam Villaflor, Bosen Ding +2
cs.LGcs.AIcs.ROarXiv:1709.10489v32017
Multi-tier Drone Architecture for 5G/B5G Cellular Networks: Challenges, Trends, and Prospects
Silvia Sekander, Hina Tabassum, Ekram Hossain
cs.NIarXiv:1711.08407v12017
Federated Learning for Keyword Spotting
David Leroy, Alice Coucke, Thibaut Lavril +2
eess.AScs.CLcs.LGarXiv:1810.05512v42018
Comparing BERT against traditional machine learning text classification
Santiago González-Carvajal, Eduardo C. Garrido-Merchán
cs.CLcs.LGstat.MLarXiv:2005.13012v22020
Bayesian Predictive Beamforming for Vehicular Networks: A Low-overhead Joint Radar-Communication Approach
Weijie Yuan, Fan Liu, Christos Masouros +3
eess.SParXiv:2005.07698v12020
Video Generation From Text
Yitong Li, Martin Renqiang Min, Dinghan Shen +2
cs.MMarXiv:1710.00421v12017
The Evolution of Extortion in Iterated Prisoner's Dilemma Games
Christian Hilbe, Martin A. Nowak, Karl Sigmund
q-bio.PEmath.DSarXiv:1212.1067v12012
Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition
Hagen Soltau, Hank Liao, Hasim Sak
cs.CLcs.LGcs.NEarXiv:1610.09975v12016
Robot Parkour Learning
Ziwen Zhuang, Zipeng Fu, Jianren Wang +4
cs.ROcs.AIcs.CVarXiv:2309.05665v22023
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalán Borsos, Mojmír Mutný, Andreas Krause
cs.LGstat.MLarXiv:2006.03875v22020
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Erfan Shayegani, Yue Dong, Nael Abu-Ghazaleh
cs.CRcs.CLarXiv:2307.14539v22023
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
Greg Yang
cs.NEcond-mat.dis-nncs.LGarXiv:1902.04760v32019
Generating Natural Questions About an Image
Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin +3
cs.CLcs.AIcs.CVarXiv:1603.06059v32016
Single Shot Text Detector with Regional Attention
Pan He, Weilin Huang, Tong He +3
cs.CVarXiv:1709.00138v12017
Inference Suboptimality in Variational Autoencoders
Chris Cremer, Xuechen Li, David Duvenaud
cs.LGstat.MLarXiv:1801.03558v32018
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong, Murtaza Dalal, Steven Lin +3
cs.LGcs.AIcs.ROarXiv:1903.03698v42019
The Locality of Distributed Symmetry Breaking
Leonid Barenboim, Michael Elkin, Seth Pettie +1
cs.DCarXiv:1202.1983v32012
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Aojun Zhou, Yukun Ma, Junnan Zhu +5
cs.CVcs.ARarXiv:2102.04010v22021
Efficient Diffusion Training via Min-SNR Weighting Strategy
Tiankai Hang, Shuyang Gu, Chen Li +5
cs.CVarXiv:2303.09556v32023
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking
Ruiyang Ren, Yingqi Qu, Jing Liu +5
cs.CLarXiv:2110.07367v22021
End-to-end Audio-visual Speech Recognition with Conformers
Pingchuan Ma, Stavros Petridis, Maja Pantic
cs.CVeess.ASarXiv:2102.06657v12021
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll
cs.CVcs.GRarXiv:2003.04583v22020
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood
Thibaut Vidal
cs.NEarXiv:2012.10384v22020
A vector-contraction inequality for Rademacher complexities
Andreas Maurer
cs.LGstat.MLarXiv:1605.00251v12016
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
Jian Han, Jinlai Liu, Yi Jiang +5
cs.CVarXiv:2412.04431v22024
Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints
Mehrdad Mahdavi, Rong Jin, Tianbao Yang
cs.LGarXiv:1111.6082v32011
Explosive synchronization in adaptive and multilayer networks
Xiyun Zhang, Stefano Boccaletti, Shuguang Guan +1
physics.soc-phnlin.AOarXiv:1410.2986v12014
Hierarchical modeling of molecular energies using a deep neural network
Nicholas Lubbers, Justin S. Smith, Kipton Barros
stat.MLphysics.chem-pharXiv:1710.00017v12017
Computation of Losses in HTS Under the Action of Varying Magnetic Fields and Currents
Francesco Grilli, Enric Pardo, Antti Stenvall +3
cond-mat.supr-conarXiv:1306.6251v12013
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang, Scott Reed, Ming-Hsuan Yang +1
cs.LGcs.AIcs.CVarXiv:1601.00706v12016
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network
Liang Shen, Zihan Yue, Fan Feng +3
cs.CVarXiv:1711.02488v12017
Subspace-search variational quantum eigensolver for excited states
Ken M Nakanishi, Kosuke Mitarai, Keisuke Fujii
quant-pharXiv:1810.09434v22018
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
Zhicheng Huang, Zhaoyang Zeng, Yupan Huang +3
cs.CVarXiv:2104.03135v22021
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser, Aidan N. Gomez, Francois Chollet
cs.CLcs.LGarXiv:1706.03059v22017
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
Jindong Wang, Xixu Hu, Wenxin Hou +10
cs.AIcs.CLcs.LGarXiv:2302.12095v52023
Discontinuities and hysteresis in quantized average consensus
Francesca Ceragioli, Claudio De Persis, Paolo Frasca
math.OCeess.SYarXiv:1001.2620v42010
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
Pan Lu, Liang Qiu, Jiaqi Chen +6
cs.CVcs.AIcs.CLarXiv:2110.13214v42021
Efficient Defenses Against Adversarial Attacks
Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat
cs.LGarXiv:1707.06728v22017
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning
Minghai Chen, Sen Wang, Paul Pu Liang +3
cs.LGcs.AIcs.CLarXiv:1802.00924v12018
Deep Rewiring: Training very sparse deep networks
Guillaume Bellec, David Kappel, Wolfgang Maass +1
cs.NEcs.AIcs.DCarXiv:1711.05136v52017
Machine learning methods for turbulence modeling in subsonic flows over airfoils
Weiwei Zhang, Linyang Zhu, Yilang Liu +1
physics.flu-dynphysics.comp-pharXiv:1806.05904v22018
Decentralized Stochastic Control with Partial History Sharing: A Common Information Approach
Ashutosh Nayyar, Aditya Mahajan, Demosthenis Teneketzis
eess.SYmath.OCarXiv:1209.1695v12012
SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection
Shuai Yuan, Hanlin Qin, Xiang Yan +2
cs.CVarXiv:2401.15583v32024
A Deep Learning Framework for Optimization of MISO Downlink Beamforming
Wenchao Xia, Gan Zheng, Yongxu Zhu +3
cs.ITarXiv:1901.00354v22019
The Mechanics of n-Player Differentiable Games
David Balduzzi, Sebastien Racaniere, James Martens +3
cs.LGcs.GTcs.MAarXiv:1802.05642v22018
Automation of next-to-leading order computations in QCD: the FKS subtraction
Rikkert Frederix, Stefano Frixione, Fabio Maltoni +1
hep-pharXiv:0908.4272v22009

Every paper with a summary

Is Homophily a Necessity for Graph Neural Networks?

Prediction-Powered Inference

A Survey on Quantum Channel Capacities

Projected GANs Converge Faster

Deep Network Approximation for Smooth Functions

Communication Compression for Decentralized Training

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

Latent Action Pretraining from Videos

ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer

LSQ+: Improving low-bit quantization through learnable offsets and better initialization

DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks

End-to-End Speech Recognition: A Survey

A combined first and second order variational approach for image reconstruction

Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

Multi-tier Drone Architecture for 5G/B5G Cellular Networks: Challenges, Trends, and Prospects

Federated Learning for Keyword Spotting

Comparing BERT against traditional machine learning text classification

Bayesian Predictive Beamforming for Vehicular Networks: A Low-overhead Joint Radar-Communication Approach

Video Generation From Text

The Evolution of Extortion in Iterated Prisoner's Dilemma Games

Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

Robot Parkour Learning

Coresets via Bilevel Optimization for Continual Learning and Streaming

Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models

Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation

Generating Natural Questions About an Image

Single Shot Text Detector with Regional Attention

Inference Suboptimality in Variational Autoencoders

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

The Locality of Distributed Symmetry Breaking

Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch

Efficient Diffusion Training via Min-SNR Weighting Strategy

RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking

End-to-end Audio-visual Speech Recognition with Conformers

TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style

Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

A vector-contraction inequality for Rademacher complexities

Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints

Explosive synchronization in adaptive and multilayer networks

Hierarchical modeling of molecular energies using a deep neural network

Computation of Losses in HTS Under the Action of Varying Magnetic Fields and Currents

Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis

MSR-net:Low-light Image Enhancement Using Deep Convolutional Network

Subspace-search variational quantum eigensolver for excited states

Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning

Depthwise Separable Convolutions for Neural Machine Translation

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

Discontinuities and hysteresis in quantized average consensus

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning

Efficient Defenses Against Adversarial Attacks

Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning

Deep Rewiring: Training very sparse deep networks

Machine learning methods for turbulence modeling in subsonic flows over airfoils

Decentralized Stochastic Control with Partial History Sharing: A Common Information Approach

SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection

A Deep Learning Framework for Optimization of MISO Downlink Beamforming

The Mechanics of n-Player Differentiable Games

Automation of next-to-leading order computations in QCD: the FKS subtraction