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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57,181 to 57,240 of 117,610

FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking
Peng Chu, Haibin Ling
cs.CVarXiv:1904.04989v12019
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero, Yann LeCun
cs.LGcs.AIcs.CVarXiv:2205.11508v32022
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
Qingbiao Li, Weizhe Lin, Zhe Liu +1
cs.ROcs.DCcs.LGarXiv:2011.13219v22020
Air quality prediction using optimal neural networks with stochastic variables
Ana Russo, Frank Raischel, Pedro G. Lind
physics.ao-phphysics.data-anarXiv:1307.3134v12013
SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
Wai-Chung Kwan, Aryo Pradipta Gema, Joshua Ong Jun Leang +1
cs.CLarXiv:2605.31433v12026
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
Tu-Hoa Pham, Giovanni De Magistris, Ryuki Tachibana
cs.ROcs.AIarXiv:1709.07643v22017
RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
Hjalmar Wijk, Tao Lin, Joel Becker +20
cs.LGcs.AIarXiv:2411.15114v22024
Approximate Quantum Fourier Transform with $O(n \log(n))$ T gates
Yunseong Nam, Yuan Su, Dmitri Maslov
quant-phcs.ETarXiv:1803.04933v22018
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Tong Che, Yanran Li, Ruixiang Zhang +4
cs.AIcs.CLcs.LGarXiv:1702.07983v12017
A General Framework for Constrained Bayesian Optimization using Information-based Search
José Miguel Hernández-Lobato, Michael A. Gelbart, Ryan P. Adams +2
stat.MLarXiv:1511.09422v22015
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning
Lili Yu, Bowen Shi, Ramakanth Pasunuru +24
cs.LGcs.CLcs.CVarXiv:2309.02591v12023
Towards Understanding Grokking: An Effective Theory of Representation Learning
Ziming Liu, Ouail Kitouni, Niklas Nolte +3
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2205.10343v22022
LATS: Levy Adaptive Tree Sampling for Feedback-Driven Diverse Target Discovery
Binglin Ji, Anindya Sarkar, Hengchang Lu +3
cs.LGarXiv:2609.06761v12026
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Tri Dao, Beidi Chen, Nimit Sohoni +7
cs.LGarXiv:2204.00595v12022
One-Shot Unsupervised Cross Domain Translation
Sagie Benaim, Lior Wolf
cs.CVarXiv:1806.06029v22018
HSG: Hyperbolic Scene Graph
Liyang Wang, Zeyu Zhang, Hao Tang
cs.CVarXiv:2604.17454v12026
A Specialized Large Multimodal Model for Interpreting PET/CT in Head and Neck Cancer
Haengbok Chung, SunGyu Kim, Joo hyun Lee +4
cs.CVcs.LGarXiv:2609.05532v12026
Measurement-Device-Independent Quantum Secure Direct Communication
Zeng-Rong Zhou, Yu-Bo Sheng, Peng-Hao Niu +2
quant-pharXiv:1805.07228v12018
End-To-End Memory Networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston +1
cs.NEcs.CLarXiv:1503.08895v52015
ClawArena: Benchmarking AI Agents in Evolving Information Environments
Haonian Ji, Kaiwen Xiong, Siwei Han +9
cs.LGcs.AIcs.CLarXiv:2604.04202v22026
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye, Xiuwen Fang, Bo Du +2
cs.LGcs.AIcs.CVarXiv:2307.10616v22023
Reinforcement Learning from Imperfect Demonstrations
Yang Gao, Huazhe Xu, Ji Lin +3
cs.AIcs.LGstat.MLarXiv:1802.05313v22018
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Yuzhe Yang, Guo Zhang, Dina Katabi +1
cs.LGcs.CVstat.MLarXiv:1905.11971v12019
Neural Architecture Transfer
Zhichao Lu, Gautam Sreekumar, Erik Goodman +3
cs.CVcs.LGcs.NEarXiv:2005.05859v22020
Coverage and Economy of Cellular Networks with Many Base Stations
Seunghyun Lee, Kaibin Huang
cs.NIarXiv:1202.6501v22012
Learning Random Quantum Circuits and the Emergence of Pseudorandomness
Srinivasan Arunachalam, Qizhao Huang, Makrand Sinha
quant-phcs.DSarXiv:2609.39821v12026
Towards Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach
Abbas Kiani, Nirwan Ansari
cs.NIarXiv:1612.00122v12016
A Class of Two-Weight and Three-Weight Codes and Their Applications in Secret Sharing
Kelan Ding, Cunsheng Ding
cs.ITarXiv:1503.06512v12015
Fast and simple decycling and dismantling of networks
Lenka Zdeborová, Pan Zhang, Hai-Jun Zhou
physics.soc-phcond-mat.dis-nncs.SIarXiv:1607.03276v12016
Extracting alignment data in open models
Federico Barbero, Xiangming Gu, Christopher A. Choquette-Choo +6
cs.AIarXiv:2510.18554v22025
Beyond "AI Helps Humans": Decision-Targeted Evaluation Design for Human-Agent Teams in the Agentic Era
Hamed Khosravi, Xiaoming Huo
cs.AIcs.HCarXiv:2609.05527v12026
Being-H0.7: A Latent World-Action Model from Egocentric Videos
Hao Luo, Wanpeng Zhang, Yicheng Feng +6
cs.ROcs.CVcs.LGarXiv:2605.00078v12026
Attention decay in science
Pietro Della Briotta Parolo, Raj Kumar Pan, Rumi Ghosh +3
physics.soc-phcs.CYcs.DLarXiv:1503.01881v22015
Randomized Methods for Linear Constraints: Convergence Rates and Conditioning
D. Leventhal, A. S. Lewis
math.OCmath.NAarXiv:0806.3015v12008
Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices
Yuxiang Huang, Binhang Yuan, Xu Han +2
cs.CLarXiv:2410.01805v22024
Linear attention is (maybe) all you need (to understand transformer optimization)
Kwangjun Ahn, Xiang Cheng, Minhak Song +3
cs.LGcs.AImath.OCarXiv:2310.01082v22023
LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
Haoqiang Kang, Yizhe Zhang, Nikki Lijing Kuang +4
cs.LGcs.AIcs.CLarXiv:2510.04573v62025
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
Chen Wu, Hongruixuan Chen, Bo Do +1
eess.IVcs.CVarXiv:1912.08628v12019
A quantum access network
Bernd Fröhlich, James F. Dynes, Marco Lucamarini +3
quant-phphysics.opticsarXiv:1309.6431v22013
DART: Noise Injection for Robust Imitation Learning
Michael Laskey, Jonathan Lee, Roy Fox +2
cs.LGarXiv:1703.09327v22017
The Miner's Dilemma
Ittay Eyal
cs.CRcs.GTarXiv:1411.7099v22014
Efficient Optimal Learning for Contextual Bandits
Miroslav Dudik, Daniel Hsu, Satyen Kale +4
cs.LGcs.AIstat.MLarXiv:1106.2369v12011
Online Learning with Feedback Graphs: Beyond Bandits
Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel +1
cs.LGarXiv:1502.07617v12015
Simulating chemistry using quantum computers
Ivan Kassal, James D. Whitfield, Alejandro Perdomo-Ortiz +2
quant-pharXiv:1007.2648v12010
Federated Distillation based Indoor Localization for IoT Networks
Yaya Etiabi, Marwa Chafii, El Mehdi Amhoud
eess.SPcs.LGcs.NIarXiv:2205.11440v22022
ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
Xiaolong Wang, Lixiang Ru, Ziyuan Huang +4
cs.CVarXiv:2510.20803v22025
On the Computational Complexity of High-Dimensional Bayesian Variable Selection
Yun Yang, Martin J. Wainwright, Michael I. Jordan
math.STcs.LGstat.COarXiv:1505.07925v12015
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare, Yavar Naddaf, Joel Veness +1
cs.AIarXiv:1207.4708v22012
Implementation of Training Convolutional Neural Networks
Tianyi Liu, Shuangsang Fang, Yuehui Zhao +2
cs.CVcs.LGcs.NEarXiv:1506.01195v22015
LoRa Throughput Analysis with Imperfect Spreading Factor Orthogonality
Antoine Waret, Megumi Kaneko, Alexandre Guitton +1
cs.NIarXiv:1803.06534v12018
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
Jintang Li, Ruofan Wu, Wangbin Sun +6
cs.LGcs.AIarXiv:2205.10053v22022
Virchow: A Million-Slide Digital Pathology Foundation Model
Eugene Vorontsov, Alican Bozkurt, Adam Casson +28
eess.IVcs.CVcs.LGarXiv:2309.07778v62023
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
Zhengqi Li, Simon Niklaus, Noah Snavely +1
cs.CVarXiv:2011.13084v32020
AugGPT: Leveraging ChatGPT for Text Data Augmentation
Haixing Dai, Zhengliang Liu, Wenxiong Liao +15
cs.CLcs.AIcs.LGarXiv:2302.13007v32023
A Physics-Informed Collision Learning Framework for Collaborative Robot Motion Generation
Chen Cai, Steven Liu
cs.ROcs.SYeess.SYarXiv:2610.12404v12026
A-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems with regularized $\ell_0$-sparsification
Alen Alexanderian, Noemi Petra, Georg Stadler +1
stat.COmath.NAmath.OCarXiv:1308.4084v22013
SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
Edward Lin, Sahil Modi, Siva Kumar Sastry Hari +30
cs.LGcs.AIarXiv:2603.19173v12026
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction
Youmin Zhang, Fabio Tosi, Stefano Mattoccia +1
cs.CVcs.ROarXiv:2309.02436v12023
RIDGE: Region-Informed Derivative-Guided Evidence Selection for Long Video Understanding
Shanqing Xu, Meng Luo, Mengchen Qian +7
cs.CVarXiv:2608.29958v12026
RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images
Runmin Cong, Yumo Zhang, Leyuan Fang +3
cs.CVarXiv:2110.14223v22021

Every paper with a summary

FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking

Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

Air quality prediction using optimal neural networks with stochastic variables

SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks

OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Approximate Quantum Fourier Transform with $O(n \log(n))$ T gates

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

A General Framework for Constrained Bayesian Optimization using Information-based Search

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Towards Understanding Grokking: An Effective Theory of Representation Learning

LATS: Levy Adaptive Tree Sampling for Feedback-Driven Diverse Target Discovery

Monarch: Expressive Structured Matrices for Efficient and Accurate Training

One-Shot Unsupervised Cross Domain Translation

HSG: Hyperbolic Scene Graph

A Specialized Large Multimodal Model for Interpreting PET/CT in Head and Neck Cancer

Measurement-Device-Independent Quantum Secure Direct Communication

End-To-End Memory Networks

ClawArena: Benchmarking AI Agents in Evolving Information Environments

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Reinforcement Learning from Imperfect Demonstrations

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

Neural Architecture Transfer

Coverage and Economy of Cellular Networks with Many Base Stations

Learning Random Quantum Circuits and the Emergence of Pseudorandomness

Towards Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach

A Class of Two-Weight and Three-Weight Codes and Their Applications in Secret Sharing

Fast and simple decycling and dismantling of networks

Extracting alignment data in open models

Beyond "AI Helps Humans": Decision-Targeted Evaluation Design for Human-Agent Teams in the Agentic Era

Being-H0.7: A Latent World-Action Model from Egocentric Videos

Attention decay in science

Randomized Methods for Linear Constraints: Convergence Rates and Conditioning

Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices

Linear attention is (maybe) all you need (to understand transformer optimization)

LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning

Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

A quantum access network

DART: Noise Injection for Robust Imitation Learning

The Miner's Dilemma

Efficient Optimal Learning for Contextual Bandits

Online Learning with Feedback Graphs: Beyond Bandits

Simulating chemistry using quantum computers

Federated Distillation based Indoor Localization for IoT Networks

ARGenSeg: Image Segmentation with Autoregressive Image Generation Model

On the Computational Complexity of High-Dimensional Bayesian Variable Selection

The Arcade Learning Environment: An Evaluation Platform for General Agents

Implementation of Training Convolutional Neural Networks

LoRa Throughput Analysis with Imperfect Spreading Factor Orthogonality

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders

Virchow: A Million-Slide Digital Pathology Foundation Model

Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes

AugGPT: Leveraging ChatGPT for Text Data Augmentation

A Physics-Informed Collision Learning Framework for Collaborative Robot Motion Generation

A-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems with regularized $\ell_0$-sparsification

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction

RIDGE: Region-Informed Derivative-Guided Evidence Selection for Long Video Understanding

RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images