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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57,361 to 57,420 of 61,111

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics
Mingxian Lin, Shengju Qian, Yuqi Liu +9
cs.CVcs.AIarXiv:2606.09826v12026
End-to-End Context Compression at Scale
Ang Li, Sean McLeish, Haozhe Chen +12
cs.CLcs.AIcs.LGarXiv:2606.09659v12026
One pixel attack for fooling deep neural networks
Jiawei Su, Danilo Vasconcellos Vargas, Sakurai Kouichi
cs.LGcs.CVstat.MLarXiv:1710.08864v72017
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Yifu Zhang, Peize Sun, Yi Jiang +6
cs.CVarXiv:2110.06864v32021
Model-Based Compressive Sensing
Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte +1
cs.ITarXiv:0808.3572v52008
BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts
Kazi Noshin, Sajib Acharjee Dip, Ranat Das Prangon +4
cs.CLarXiv:2606.10061v12026
Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation
Siyuan Liu, Jinyang Wu
cs.AIcs.CLcs.CVarXiv:2606.09131v12026
MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation
Ishaan Preetam Chandratreya, David Charatan, Basile Van Hoorick +4
cs.CVcs.LGarXiv:2606.09056v12026
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie +1
cs.CLcs.AIcs.LGarXiv:1811.00937v22018
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Hyeonseob Nam, Bohyung Han
cs.CVarXiv:1510.07945v22015
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark, Kenton Lee, Ming-Wei Chang +3
cs.CLarXiv:1905.10044v12019
$τ$-Rec: A Verifiable Benchmark for Agentic Recommender Systems
Bharath Sivaram Narasimhan, Karthik R Narasimhan
cs.IRcs.AIcs.CLarXiv:2606.10156v32026
Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan +3
eess.IVcs.CVcs.LGarXiv:2104.07636v22021
Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors
Mirko Prezioso, Farnood Merrikh-Bayat, Brian Hoskins +3
cs.ETarXiv:1412.0611v12014
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg +5
cs.LGphysics.chem-phstat.MLarXiv:1703.00564v32017
RT-1: Robotics Transformer for Real-World Control at Scale
Anthony Brohan, Noah Brown, Justice Carbajal +48
cs.ROcs.AIcs.CLarXiv:2212.06817v22022
Generating Long Sequences with Sparse Transformers
Rewon Child, Scott Gray, Alec Radford +1
cs.LGstat.MLarXiv:1904.10509v12019
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu +5
cs.CLcs.LGstat.MLarXiv:1909.08593v22019
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert +9
cs.LGstat.MLarXiv:1911.08265v22019
Stability Selection
Nicolai Meinshausen, Peter Buehlmann
stat.MEarXiv:0809.2932v22008
The Security of Practical Quantum Key Distribution
Valerio Scarani, Helle Bechmann-Pasquinucci, Nicolas J. Cerf +3
quant-pharXiv:0802.4155v32008
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain +9
cs.LGcs.AIcs.CVarXiv:2011.06225v42020
1D Convolutional Neural Networks and Applications: A Survey
Serkan Kiranyaz, Onur Avci, Osama Abdeljaber +3
eess.SPcs.AIarXiv:1905.03554v12019
Crowdsourcing a Word-Emotion Association Lexicon
Saif M. Mohammad, Peter D. Turney
cs.CLarXiv:1308.6297v12013
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han, Quanming Yao, Xingrui Yu +5
cs.LGstat.MLarXiv:1804.06872v32018
Deep Learning for Medical Image Analysis
Mina Rezaei, Haojin Yang, Christoph Meinel
cs.CVarXiv:1708.08987v12017
Multimodal Unsupervised Image-to-Image Translation
Xun Huang, Ming-Yu Liu, Serge Belongie +1
cs.CVcs.LGstat.MLarXiv:1804.04732v22018
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine, Aviral Kumar, George Tucker +1
cs.LGcs.AIstat.MLarXiv:2005.01643v32020
Counterfactual Multi-Agent Policy Gradients
Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras +2
cs.AIcs.MAarXiv:1705.08926v32017
Attention-based Deep Multiple Instance Learning
Maximilian Ilse, Jakub M. Tomczak, Max Welling
cs.LGstat.MLarXiv:1802.04712v42018
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov
cs.LGcs.CVcs.NEarXiv:1502.04681v32015
Epidemic processes in complex networks
Romualdo Pastor-Satorras, Claudio Castellano, Piet Van Mieghem +1
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1408.2701v22014
On First-Order Meta-Learning Algorithms
Alex Nichol, Joshua Achiam, John Schulman
cs.LGarXiv:1803.02999v32018
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava, Abhinav Gupta, Ross Girshick
cs.CVcs.LGarXiv:1604.03540v12016
NICE: Non-linear Independent Components Estimation
Laurent Dinh, David Krueger, Yoshua Bengio
cs.LGarXiv:1410.8516v62014
Road Extraction by Deep Residual U-Net
Zhengxin Zhang, Qingjie Liu, Yunhong Wang
cs.CVarXiv:1711.10684v12017
A Critical Review of Recurrent Neural Networks for Sequence Learning
Zachary C. Lipton, John Berkowitz, Charles Elkan
cs.LGcs.NEarXiv:1506.00019v42015
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Kai Zhang, Wangmeng Zuo, Lei Zhang
cs.CVarXiv:1710.04026v22017
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu, Han Hu, Stephen Lin +1
cs.CVarXiv:1811.11168v22018
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov, Peter Clark, Tushar Khot +1
cs.CLarXiv:1809.02789v12018
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yu Gu, Robert Tinn, Hao Cheng +6
cs.CLcs.LGarXiv:2007.15779v62020
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Fisher Yu, Ari Seff, Yinda Zhang +3
cs.CVarXiv:1506.03365v32015
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel, Joseph Modayil, Hado van Hasselt +7
cs.AIcs.LGarXiv:1710.02298v12017
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal, Francis Bach, Jean Ponce +1
stat.MLcs.LGmath.OCarXiv:0908.0050v22009
SmoothGrad: removing noise by adding noise
Daniel Smilkov, Nikhil Thorat, Been Kim +2
cs.LGcs.CVstat.MLarXiv:1706.03825v12017
Albumentations: fast and flexible image augmentations
Alexander Buslaev, Alex Parinov, Eugene Khvedchenya +2
cs.CVarXiv:1809.06839v12018
Computational Optimal Transport
Gabriel Peyré, Marco Cuturi
stat.MLarXiv:1803.00567v42018
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan, Hao Su, Leonidas Guibas
cs.CVarXiv:1612.00603v22016
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl, Katrin Lasinger, David Hafner +2
cs.CVarXiv:1907.01341v32019
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie, Zihang Dai, Eduard Hovy +2
cs.LGcs.AIcs.CLarXiv:1904.12848v62019
Deep Networks with Stochastic Depth
Gao Huang, Yu Sun, Zhuang Liu +2
cs.LGcs.CVcs.NEarXiv:1603.09382v32016
Deep Retinex Decomposition for Low-Light Enhancement
Chen Wei, Wenjing Wang, Wenhan Yang +1
cs.CVarXiv:1808.04560v12018
Decoupled Weight Decay Regularization
Ilya Loshchilov, Frank Hutter
cs.LGcs.NEmath.OCarXiv:1711.05101v32017
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
Changqian Yu, Jingbo Wang, Chao Peng +3
cs.CVarXiv:1808.00897v12018
Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering
Junlin Yang, Che Jiang, Yu Fu +21
cs.CLarXiv:2607.28568v12026
A Tutorial on Principal Component Analysis
Jonathon Shlens
cs.LGstat.MLarXiv:1404.1100v12014
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun, Abhinav Shrivastava, Saurabh Singh +1
cs.CVcs.AIarXiv:1707.02968v22017
Gaussian Quantum Information
Christian Weedbrook, Stefano Pirandola, Raul Garcia-Patron +4
quant-pharXiv:1110.3234v12011
VoxCeleb: a large-scale speaker identification dataset
Arsha Nagrani, Joon Son Chung, Andrew Zisserman
cs.SDarXiv:1706.08612v22017
Meta-Learning in Neural Networks: A Survey
Timothy Hospedales, Antreas Antoniou, Paul Micaelli +1
cs.LGstat.MLarXiv:2004.05439v22020

Every paper with a summary

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics

End-to-End Context Compression at Scale

One pixel attack for fooling deep neural networks

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Model-Based Compressive Sensing

BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts

Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

$τ$-Rec: A Verifiable Benchmark for Agentic Recommender Systems

Image Super-Resolution via Iterative Refinement

Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors

MoleculeNet: A Benchmark for Molecular Machine Learning

RT-1: Robotics Transformer for Real-World Control at Scale

Generating Long Sequences with Sparse Transformers

Fine-Tuning Language Models from Human Preferences

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Stability Selection

The Security of Practical Quantum Key Distribution

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

1D Convolutional Neural Networks and Applications: A Survey

Crowdsourcing a Word-Emotion Association Lexicon

Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Deep Learning for Medical Image Analysis

Multimodal Unsupervised Image-to-Image Translation

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Counterfactual Multi-Agent Policy Gradients

Attention-based Deep Multiple Instance Learning

Unsupervised Learning of Video Representations using LSTMs

Epidemic processes in complex networks

On First-Order Meta-Learning Algorithms

Training Region-based Object Detectors with Online Hard Example Mining

NICE: Non-linear Independent Components Estimation

Road Extraction by Deep Residual U-Net

A Critical Review of Recurrent Neural Networks for Sequence Learning

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising

Deformable ConvNets v2: More Deformable, Better Results

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Rainbow: Combining Improvements in Deep Reinforcement Learning

Online Learning for Matrix Factorization and Sparse Coding

SmoothGrad: removing noise by adding noise

Albumentations: fast and flexible image augmentations

Computational Optimal Transport

A Point Set Generation Network for 3D Object Reconstruction from a Single Image

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Unsupervised Data Augmentation for Consistency Training

Deep Networks with Stochastic Depth

Deep Retinex Decomposition for Low-Light Enhancement

Decoupled Weight Decay Regularization

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

A Tutorial on Principal Component Analysis

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Gaussian Quantum Information

VoxCeleb: a large-scale speaker identification dataset

Meta-Learning in Neural Networks: A Survey