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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56,281 to 56,340 of 117,799

Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation
Chunmei Xu, Shengheng Liu, Zhaohui Yang +2
cs.ITeess.SParXiv:2102.02946v32021
Fusing Physics-based and Deep Learning Models for Prognostics
Manuel Arias Chao, Chetan Kulkarni, Kai Goebel +1
eess.SYarXiv:2003.00732v22020
Extractive Summarization as Text Matching
Ming Zhong, Pengfei Liu, Yiran Chen +3
cs.CLarXiv:2004.08795v12020
Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing
Jianbing Ni, Kuan Zhang, Qi Xia +2
cs.CRarXiv:1806.04057v12018
Formal Security Analysis of Neural Networks using Symbolic Intervals
Shiqi Wang, Kexin Pei, Justin Whitehouse +2
cs.AIcs.LOarXiv:1804.10829v32018
Learning to Branch
Maria-Florina Balcan, Travis Dick, Tuomas Sandholm +1
cs.AIcs.DSarXiv:1803.10150v22018
Label Semantic Expansion via Label Guided Neural Topic Modeling
Haojia Zheng, Yuyin Lu, Juntian Huang +4
cs.CLcs.AIarXiv:2608.30216v12026
Geometry-dependent rank defect in $C^1$ cubic spline space
Xinyu Wu, Jiansong Deng
math.NAcs.NAmath.COarXiv:2609.02424v12026
Precision and Recall for Time Series
Nesime Tatbul, Tae Jun Lee, Stan Zdonik +2
cs.LGcs.AIarXiv:1803.03639v32018
DeVI: Physics-based Dexterous Human-Object Interaction via Synthetic Video Imitation
Hyeonwoo Kim, Jeonghwan Kim, Kyungwon Cho +1
cs.CVarXiv:2604.20841v12026
Micro-Diffusion Compression - Binary Tree Tweedie Denoising for Online Probability Estimation
Roberto Tacconelli
stat.MLcs.ITcs.LGarXiv:2603.08771v32026
Declarative Event-Based Workflow as Distributed Dynamic Condition Response Graphs
Thomas T. Hildebrandt, Raghava Rao Mukkamala
cs.LOcs.FLcs.PLarXiv:1110.4161v12011
Millimeter-Wave Full-Duplex UAV Relay: Joint Positioning, Beamforming, and Power Control
Lipeng Zhu, Jun Zhang, Zhenyu Xiao +3
eess.SParXiv:2004.11070v12020
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl, Russell Mendonca, Lili Chen +2
cs.ROcs.AIcs.CVarXiv:2304.08488v12023
Reliable and Explainable Machine Learning Methods for Accelerated Material Discovery
Bhavya Kailkhura, Brian Gallagher, Sookyung Kim +2
physics.comp-phcond-mat.mtrl-scistat.MLarXiv:1901.02717v22019
Generalized Preference Optimization: A Unified Approach to Offline Alignment
Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng +7
cs.LGcs.AIarXiv:2402.05749v22024
Bootstrapping Intrinsically Motivated Learning with Human Demonstrations
Sao Mai Nguyen, Adrien Baranes, Pierre-Yves Oudeyer
cs.LGcs.AIcs.ROarXiv:1112.1937v12011
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video
Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu +3
cs.CVcs.GRcs.MMarXiv:1705.01759v12017
Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain Generation
Yifeng Jiang, Yuting Ye, Deepak Gopinath +3
cs.CVcs.GRarXiv:2203.15720v32022
Likelihood Ratios for Out-of-Distribution Detection
Jie Ren, Peter J. Liu, Emily Fertig +5
stat.MLcs.LGarXiv:1906.02845v22019
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
cs.CVcs.LGeess.IVarXiv:2104.05358v12021
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Jungil Kong, Jaehyeon Kim, Jaekyoung Bae
cs.SDcs.LGeess.ASarXiv:2010.05646v22020
Learning to Learn Single Domain Generalization
Fengchun Qiao, Long Zhao, Xi Peng
cs.CVarXiv:2003.13216v12020
Reinforcement Learning for Code Optimization
Pierre Chambon, Kunhao Zheng, Juliette Decugis +2
cs.LGcs.AIarXiv:2607.25970v12026
Towards a Joint Khmer Text Recognition and Word Segmentation
Marry Kong, Rina Buoy, Sovisal Chenda +3
cs.CVcs.CLarXiv:2608.30213v12026
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model
Jiabo Ye, Anwen Hu, Haiyang Xu +11
cs.CVcs.AIarXiv:2310.05126v12023
Cross-Layer Distillation with Semantic Calibration
Defang Chen, Jian-Ping Mei, Yuan Zhang +3
cs.CVcs.AIcs.LGarXiv:2012.03236v22020
Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment
Chenyu Zhou, Qiliang Jiang, Shuning Wu +1
cs.LGcs.AIarXiv:2609.02417v12026
Entropy-Stable and Physical-Constraint-Preserving DGSEM for Symmetry-Reduced General-Relativistic Hydrodynamics on Stationary Spacetimes
Guosheng Fu, Jian-Guo Liu
math.NAgr-qcphysics.comp-pharXiv:2608.29229v12026
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Bofei Gao, Feifan Song, Zhe Yang +17
cs.CLarXiv:2410.07985v32024
A Survey on Causal Inference
Liuyi Yao, Zhixuan Chu, Sheng Li +3
stat.MEcs.AIcs.LGarXiv:2002.02770v12020
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding
Will Monroe, Robert X. D. Hawkins, Noah D. Goodman +1
cs.CLarXiv:1703.10186v22017
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling
Gakuto Kurata, Bing Xiang, Bowen Zhou +1
cs.CLarXiv:1601.01530v42016
MedFlow: Class-Aware Multi-Scale Generation for Medical Time-Series Synthesis
Yanhao Huang, Shibo Feng, Wanjin Feng +2
cs.AIarXiv:2609.04804v12026
Sparse Sequence-to-Sequence Models
Ben Peters, Vlad Niculae, André F. T. Martins
cs.CLcs.LGarXiv:1905.05702v22019
Quantum Secure Direct Communication with Quantum Memory
Wei Zhang, Dong-Sheng Ding, Yu-Bo Sheng +3
quant-pharXiv:1609.09184v22016
Self-labelling via simultaneous clustering and representation learning
Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi
cs.CVcs.NEarXiv:1911.05371v32019
Near-Future Policy Optimization
Chuanyu Qin, Chenxu Yang, Qingyi Si +6
cs.LGarXiv:2604.20733v12026
A General Framework for Updating Belief Distributions
Pier Giovanni Bissiri, Chris Holmes, Stephen Walker
math.STstat.MEarXiv:1306.6430v22013
Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels
Erdal Arikan
cs.ITarXiv:0807.3917v52008
SimVLA: Zero-Shot Sim-to-Real VLA Learning for Mobile Manipulation
Kyoungin Baik, Youngwoon Lee
cs.ROarXiv:2610.11248v12026
GIT: A Generative Image-to-text Transformer for Vision and Language
Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu +6
cs.CVarXiv:2205.14100v52022
Unrestricted Adversarial Examples via Semantic Manipulation
Anand Bhattad, Min Jin Chong, Kaizhao Liang +2
cs.CVarXiv:1904.06347v22019
POS-ISP: Pipeline Optimization at the Sequence Level for Task-aware ISP
Jiyun Won, Heemin Yang, Woohyeok Kim +2
cs.CVarXiv:2604.06938v12026
Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time
Xinfeng Li, Chen Yan, Xuancun Lu +3
cs.CRcs.SDeess.ASarXiv:2308.01040v32023
Learning dynamic and hierarchical traffic spatiotemporal features with Transformer
Haoyang Yan, Xiaolei Ma
cs.AIarXiv:2104.05163v12021
Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures
Peter R. Wiecha, Otto L. Muskens
physics.comp-phcond-mat.mes-hallphysics.opticsarXiv:1909.12056v22019
MS$^2$L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition
Lilang Lin, Sijie Song, Wenhan Yan +1
cs.CVcs.AIarXiv:2010.05599v22020
The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur-Martineau
cs.LGcs.AIcs.CRarXiv:1807.00734v32018
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP
Haonan Yu, Sergey Edunov, Yuandong Tian +1
stat.MLcs.AIcs.LGarXiv:1906.02768v32019
MEMOBench: A Process Level Memory Benchmark for Robotic Manipulation
Haiyang Sun, Haoxiao Wang, Junming Chen +6
cs.ROcs.AIarXiv:2609.07047v12026
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Alexander Krull, Tomas Vicar, Florian Jug
eess.IVcs.CVarXiv:1906.00651v22019
Adversarial Training for Adverse Conditions: Robust Metric Localisation using Appearance Transfer
Horia Porav, Will Maddern, Paul Newman
cs.CVarXiv:1803.03341v12018
Finding a needle in an exponential haystack: Discrete RRT for exploration of implicit roadmaps in multi-robot motion planning
Kiril Solovey, Oren Salzman, Dan Halperin
cs.ROarXiv:1305.2889v32013
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
Esteban Samaniego, Cosmin Anitescu, Somdatta Goswami +5
stat.MLcs.LGmath.AParXiv:1908.10407v22019
Repeated Inverse Reinforcement Learning
Kareem Amin, Nan Jiang, Satinder Singh
cs.AIcs.LGarXiv:1705.05427v32017
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Defu Cao, Furong Jia, Sercan O Arik +4
cs.LGcs.CLarXiv:2310.04948v32023
Entity-Relation Extraction as Multi-Turn Question Answering
Xiaoya Li, Fan Yin, Zijun Sun +6
cs.CLarXiv:1905.05529v62019
Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations
Weinan E, Jiequn Han, Arnulf Jentzen
math.NAcs.LGcs.NEarXiv:1706.04702v12017
Attention Based Glaucoma Detection: A Large-scale Database and CNN Model
Liu Li, Mai Xu, Xiaofei Wang +2
cs.CVarXiv:1903.10831v32019

Every paper with a summary

Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation

Fusing Physics-based and Deep Learning Models for Prognostics

Extractive Summarization as Text Matching

Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing

Formal Security Analysis of Neural Networks using Symbolic Intervals

Learning to Branch

Label Semantic Expansion via Label Guided Neural Topic Modeling

Geometry-dependent rank defect in $C^1$ cubic spline space

Precision and Recall for Time Series

DeVI: Physics-based Dexterous Human-Object Interaction via Synthetic Video Imitation

Micro-Diffusion Compression - Binary Tree Tweedie Denoising for Online Probability Estimation

Declarative Event-Based Workflow as Distributed Dynamic Condition Response Graphs

Millimeter-Wave Full-Duplex UAV Relay: Joint Positioning, Beamforming, and Power Control

Affordances from Human Videos as a Versatile Representation for Robotics

Reliable and Explainable Machine Learning Methods for Accelerated Material Discovery

Generalized Preference Optimization: A Unified Approach to Offline Alignment

Bootstrapping Intrinsically Motivated Learning with Human Demonstrations

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video

Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain Generation

Likelihood Ratios for Out-of-Distribution Detection

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Learning to Learn Single Domain Generalization

Reinforcement Learning for Code Optimization

Towards a Joint Khmer Text Recognition and Word Segmentation

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model

Cross-Layer Distillation with Semantic Calibration

Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment

Entropy-Stable and Physical-Constraint-Preserving DGSEM for Symmetry-Reduced General-Relativistic Hydrodynamics on Stationary Spacetimes

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models

A Survey on Causal Inference

Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding

Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling

MedFlow: Class-Aware Multi-Scale Generation for Medical Time-Series Synthesis

Sparse Sequence-to-Sequence Models

Quantum Secure Direct Communication with Quantum Memory

Self-labelling via simultaneous clustering and representation learning

Near-Future Policy Optimization

A General Framework for Updating Belief Distributions

Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels

SimVLA: Zero-Shot Sim-to-Real VLA Learning for Mobile Manipulation

GIT: A Generative Image-to-text Transformer for Vision and Language

Unrestricted Adversarial Examples via Semantic Manipulation

POS-ISP: Pipeline Optimization at the Sequence Level for Task-aware ISP

Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time

Learning dynamic and hierarchical traffic spatiotemporal features with Transformer

Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures

MS$^2$L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition

The relativistic discriminator: a key element missing from standard GAN

Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP

MEMOBench: A Process Level Memory Benchmark for Robotic Manipulation

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising

Adversarial Training for Adverse Conditions: Robust Metric Localisation using Appearance Transfer

Finding a needle in an exponential haystack: Discrete RRT for exploration of implicit roadmaps in multi-robot motion planning

An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications

Repeated Inverse Reinforcement Learning

TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

Entity-Relation Extraction as Multi-Turn Question Answering

Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations

Attention Based Glaucoma Detection: A Large-scale Database and CNN Model