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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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62,641 to 62,700 of 104,748

When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng, Sungyong Seo, Defu Cao +2
cs.LGstat.MLarXiv:2203.16797v12022
Explore First, Exploit Next: The True Shape of Regret in Bandit Problems
Aurélien Garivier, Pierre Ménard, Gilles Stoltz
math.STcs.LGarXiv:1602.07182v32016
Scaling the Scattering Transform: Deep Hybrid Networks
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko
cs.CVcs.LGarXiv:1703.08961v22017
Person-in-WiFi: Fine-grained Person Perception using WiFi
Fei Wang, Sanping Zhou, Stanislav Panev +2
cs.CVarXiv:1904.00276v12019
Generalization and Representational Limits of Graph Neural Networks
Vikas K. Garg, Stefanie Jegelka, Tommi Jaakkola
cs.LGstat.MLarXiv:2002.06157v12020
Sparse, Dense, and Attentional Representations for Text Retrieval
Yi Luan, Jacob Eisenstein, Kristina Toutanova +1
cs.CLarXiv:2005.00181v32020
Overview of the TREC 2019 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +2
cs.IRcs.CLcs.LGarXiv:2003.07820v22020
High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim, Peter Wonka
cs.CVarXiv:1812.11941v22018
GPU-based fast Monte Carlo simulation for radiotherapy dose calculation
Xun Jia, Xuejun Gu, Yan Jiang Graves +2
physics.med-pharXiv:1107.3355v12011
On Layer Normalization in the Transformer Architecture
Ruibin Xiong, Yunchang Yang, Di He +7
cs.LGcs.CLstat.MLarXiv:2002.04745v22020
Experience Replay for Continual Learning
David Rolnick, Arun Ahuja, Jonathan Schwarz +2
cs.LGcs.AIstat.MLarXiv:1811.11682v22018
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang +4
cs.CVcs.LGeess.IVarXiv:1912.13192v22019
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Ke Zhang, Meng Li, Zhengchao Zhang +2
cs.AIarXiv:2002.05513v22020
Synthetic Dimension in Photonics
Luqi Yuan, Qian Lin, Meng Xiao +1
physics.opticsarXiv:1807.11468v12018
Convergence rates of efficient global optimization algorithms
Adam D. Bull
stat.MLmath.OCmath.STarXiv:1101.3501v32011
HRGuard: Gating Relationship Manipulation in Multi-Turn Agentic AI Conversations
Pei-Sze Tan, Tasuku Igarashi, Isao Echizen
cs.HCarXiv:2608.25340v12026
Quantum Computing for Finance: State of the Art and Future Prospects
Daniel J. Egger, Claudio Gambella, Jakub Marecek +6
quant-phq-fin.STarXiv:2006.14510v32020
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama +1
physics.data-ancs.CVcs.LGarXiv:1902.07987v22019
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
Kadierdan Kaheman, J. Nathan Kutz, Steven L. Brunton
cs.LGphysics.comp-phstat.MLarXiv:2004.02322v22020
When does a spectral prior help graph learning? Connectivity-loss estimation under road-network disruptions
Van-Truong Le
cs.LGarXiv:2609.11166v12026
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang +2
cs.LGcs.CVstat.MLarXiv:2002.05287v22020
Pathwise coordinate optimization
Jerome Friedman, Trevor Hastie, Holger Höfling +1
stat.COmath.OCarXiv:0708.1485v22007
Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs
Shaojie Zhang, Jiahui Yang, Jianqin Yin +2
cs.CVarXiv:2506.22139v32025
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Samuel L. Smith, Quoc V. Le
cs.LGcs.AIstat.MLarXiv:1710.06451v32017
Graph Signal Processing: History, Development, Impact, and Outlook
Geert Leus, Antonio G. Marques, José M. F. Moura +2
eess.SParXiv:2303.12211v12023
Time-Frequency Geometric Cross-Attention for Chunked Vision-Language-Action Models
Shengye Dong, Haochen Niu, Hao Liu +3
cs.AIcs.ROarXiv:2609.09925v12026
A Simple, Combinatorial Algorithm for Solving SDD Systems in Nearly-Linear Time
Jonathan A. Kelner, Lorenzo Orecchia, Aaron Sidford +1
cs.DSmath.NAarXiv:1301.6628v12013
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
Zihe Liu, Jiashun Liu, Yancheng He +13
cs.LGcs.CLarXiv:2508.08221v32025
Improving Entity Linking by Modeling Latent Relations between Mentions
Phong Le, Ivan Titov
cs.CLarXiv:1804.10637v12018
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez +1
stat.MLcs.LGarXiv:1605.07127v32016
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord, Nal Kalchbrenner, Oriol Vinyals +3
cs.CVcs.LGarXiv:1606.05328v22016
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning
Yaodong Yang, Jianye Hao, Ben Liao +4
cs.MAarXiv:2002.03939v22020
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
Ashok Cutkosky, Harsh Mehta, Francesco Orabona
cs.LGmath.OCstat.MLarXiv:2302.03775v32023
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Shengxian Wan, Yanyan Lan, Jun Xu +3
cs.CLcs.AIcs.LGarXiv:1604.04378v12016
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
Zheng Shou, Xudong Lin, Yannis Kalantidis +4
cs.CVarXiv:1901.03460v32019
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction
Zhiyong Cui, Ruimin Ke, Ziyuan Pu +1
cs.LGarXiv:1801.02143v22018
Transversality versus Universality for Additive Quantum Codes
Bei Zeng, Andrew Cross, Isaac L. Chuang
quant-pharXiv:0706.1382v32007
Program Synthesis using Natural Language
Aditya Desai, Sumit Gulwani, Vineet Hingorani +5
cs.PLarXiv:1509.00413v12015
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng, Christian Haase-Schütz, Lars Rosenbaum +5
cs.ROarXiv:1902.07830v42019
Automatically Neutralizing Subjective Bias in Text
Reid Pryzant, Richard Diehl Martinez, Nathan Dass +3
cs.CLcs.AIarXiv:1911.09709v32019
Missing Data Imputation using Optimal Transport
Boris Muzellec, Julie Josse, Claire Boyer +1
stat.MLcs.LGarXiv:2002.03860v32020
Learning a Rotation Invariant Detector with Rotatable Bounding Box
Lei Liu, Zongxu Pan, Bin Lei
cs.CVarXiv:1711.09405v12017
Delay and Cooperation in Nonstochastic Bandits
Nicolo' Cesa-Bianchi, Claudio Gentile, Yishay Mansour +1
cs.LGarXiv:1602.04741v22016
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping
Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park +5
cs.LGarXiv:1803.05473v12018
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network
Dong Yang, Daguang Xu, S. Kevin Zhou +5
cs.CVarXiv:1707.08037v12017
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry, Albert Gordo, Puneet K. Dokania +2
cs.LGstat.MLarXiv:2002.08165v22020
ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning
Ignacio D. Lopez-Miguel, Andreas Happe, Jürgen Cito +3
cs.SEcs.LGarXiv:2608.14352v12026
Belief propagation, robust reconstruction and optimal recovery of block models
Elchanan Mossel, Joe Neeman, Allan Sly
math.PRcs.SIarXiv:1309.1380v42013
Where MLLMs Fail and Why: Causal Task Decomposition for Capability Failure Diagnosis
Xia Hu, Brian Potetz, Chun-Ta Lu +6
cs.CLcs.AIcs.CVarXiv:2609.38851v12026
Visual Interpretability for Deep Learning: a Survey
Quanshi Zhang, Song-Chun Zhu
cs.CVarXiv:1802.00614v22018
Bayesian Nonparametric Inference of Switching Linear Dynamical Systems
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan +1
stat.MEstat.MLarXiv:1003.3829v12010
YOCO: You Only Calibrate Once! Fast Mocap Calibration for Dexterous Teleoperation
Yu Zhang, Yunqi Li, Yushi Du +2
cs.ROarXiv:2610.11657v12026
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu, Wei Cheng, Dongsheng Luo +2
cs.LGarXiv:2110.15438v12021
Joint Visual Grounding and Tracking with Natural Language Specification
Li Zhou, Zikun Zhou, Kaige Mao +1
cs.CVarXiv:2303.12027v12023
Spotlight on Token Perception for Multimodal Reinforcement Learning
Siyuan Huang, Xiaoye Qu, Yafu Li +4
cs.CVarXiv:2510.09285v22025
Causally Correct Partial Models for Reinforcement Learning
Danilo J. Rezende, Ivo Danihelka, George Papamakarios +11
cs.LGcs.AIstat.MLarXiv:2002.02836v12020
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann Dauphin, Razvan Pascanu, Caglar Gulcehre +3
cs.LGmath.OCstat.MLarXiv:1406.2572v12014
Span-based Localizing Network for Natural Language Video Localization
Hao Zhang, Aixin Sun, Wei Jing +1
cs.CLcs.CVarXiv:2004.13931v22020
SSRL: Self-Search Reinforcement Learning
Yuchen Fan, Kaiyan Zhang, Heng Zhou +15
cs.CLarXiv:2508.10874v12025
Synthesis and Optimization of Reversible Circuits - A Survey
Mehdi Saeedi, Igor L. Markov
cs.ETquant-pharXiv:1110.2574v22011

Every paper with a summary

When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning

Explore First, Exploit Next: The True Shape of Regret in Bandit Problems

Scaling the Scattering Transform: Deep Hybrid Networks

Person-in-WiFi: Fine-grained Person Perception using WiFi

Generalization and Representational Limits of Graph Neural Networks

Sparse, Dense, and Attentional Representations for Text Retrieval

Overview of the TREC 2019 deep learning track

High Quality Monocular Depth Estimation via Transfer Learning

GPU-based fast Monte Carlo simulation for radiotherapy dose calculation

On Layer Normalization in the Transformer Architecture

Experience Replay for Continual Learning

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach

Synthetic Dimension in Photonics

Convergence rates of efficient global optimization algorithms

HRGuard: Gating Relationship Manipulation in Multi-Turn Agentic AI Conversations

Quantum Computing for Finance: State of the Art and Future Prospects

Learning representations of irregular particle-detector geometry with distance-weighted graph networks

SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

When does a spectral prior help graph learning? Connectivity-loss estimation under road-network disruptions

Geom-GCN: Geometric Graph Convolutional Networks

Pathwise coordinate optimization

Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs

A Bayesian Perspective on Generalization and Stochastic Gradient Descent

Graph Signal Processing: History, Development, Impact, and Outlook

Time-Frequency Geometric Cross-Attention for Chunked Vision-Language-Action Models

A Simple, Combinatorial Algorithm for Solving SDD Systems in Nearly-Linear Time

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning

Improving Entity Linking by Modeling Latent Relations between Mentions

Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks

Conditional Image Generation with PixelCNN Decoders

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition

Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction

Transversality versus Universality for Additive Quantum Codes

Program Synthesis using Natural Language

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

Automatically Neutralizing Subjective Bias in Text

Missing Data Imputation using Optimal Transport

Learning a Rotation Invariant Detector with Rotatable Bounding Box

Delay and Cooperation in Nonstochastic Bandits

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

Using Hindsight to Anchor Past Knowledge in Continual Learning

ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning

Belief propagation, robust reconstruction and optimal recovery of block models

Where MLLMs Fail and Why: Causal Task Decomposition for Capability Failure Diagnosis

Visual Interpretability for Deep Learning: a Survey

Bayesian Nonparametric Inference of Switching Linear Dynamical Systems

YOCO: You Only Calibrate Once! Fast Mocap Calibration for Dexterous Teleoperation

InfoGCL: Information-Aware Graph Contrastive Learning

Joint Visual Grounding and Tracking with Natural Language Specification

Spotlight on Token Perception for Multimodal Reinforcement Learning

Causally Correct Partial Models for Reinforcement Learning

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization

Span-based Localizing Network for Natural Language Video Localization

SSRL: Self-Search Reinforcement Learning

Synthesis and Optimization of Reversible Circuits - A Survey