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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57,421 to 57,480 of 61,271

Adversarial Autoencoders
Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly +2
cs.LGarXiv:1511.05644v22015
MMBench: Is Your Multi-modal Model an All-around Player?
Yuan Liu, Haodong Duan, Yuanhan Zhang +9
cs.CVcs.CLarXiv:2307.06281v52023
Visualizing the Loss Landscape of Neural Nets
Hao Li, Zheng Xu, Gavin Taylor +2
cs.LGcs.CVstat.MLarXiv:1712.09913v32017
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
cs.LGarXiv:1206.5533v22012
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah Abdin, Jyoti Aneja, Hany Awadalla +126
cs.CLcs.AIarXiv:2404.14219v42024
Qwen2 Technical Report
An Yang, Baosong Yang, Binyuan Hui +59
cs.CLcs.AIarXiv:2407.10671v42024
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu, Chengtao Li, Yonglong Tian +3
cs.LGcs.AIcs.CVarXiv:1806.03536v22018
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai, Zeqiu Wu, Yizhong Wang +2
cs.CLcs.AIcs.LGarXiv:2310.11511v12023
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi, Aaron van den Oord, Oriol Vinyals
cs.LGcs.CVstat.MLarXiv:1906.00446v12019
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen, Kevin Lu, Aravind Rajeswaran +6
cs.LGcs.AIarXiv:2106.01345v22021
A Tutorial on Bayesian Optimization
Peter I. Frazier
stat.MLcs.LGmath.OCarXiv:1807.02811v12018
Variational image compression with a scale hyperprior
Johannes Ballé, David Minnen, Saurabh Singh +2
eess.IVcs.ITarXiv:1802.01436v22018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Been Kim, Martin Wattenberg, Justin Gilmer +4
stat.MLarXiv:1711.11279v52017
Beyond Short Snippets: Deep Networks for Video Classification
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan +3
cs.CVarXiv:1503.08909v22015
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta, Justin Johnson, Li Fei-Fei +2
cs.CVarXiv:1803.10892v12018
CALYPSO: a method for crystal structure prediction
Yanchao Wang, Jian Lv, Li Zhu +1
cond-mat.mtrl-sciarXiv:1205.2264v12012
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Philip Bachman +3
cs.LGstat.MLarXiv:1709.06560v32017
Group Equivariant Convolutional Networks
Taco S. Cohen, Max Welling
cs.LGstat.MLarXiv:1602.07576v32016
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Xiang Yue, Yuansheng Ni, Kai Zhang +19
cs.CLcs.AIcs.CVarXiv:2311.16502v42023
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta, Mohammad Rastegari
cs.CVcs.AIcs.LGarXiv:2110.02178v22021
Empirical Study on the Characteristics and Evolution of AI-usage in GitHub Repositories: Evidence from Code Comments
Abdullah Al Mujahid, Preetha Chatterjee, Mia Mohammad Imran
cs.SEarXiv:2606.06843v12026
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang, Yu Zheng, Dekang Qi
cs.AIcs.LGarXiv:1610.00081v22016
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks, Steven Basart, Norman Mu +10
cs.CVcs.LGstat.MLarXiv:2006.16241v32020
Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors
Hanxun Yu, Xuan Qu, Lei Ke +4
cs.CVarXiv:2606.06891v12026
LIMMT: Less is More for Motion Tracking
Yu Guan, Zekun Qi, Chenghuai Lin +7
cs.ROarXiv:2606.06953v12026
Where Flow Matching Leaks: Characterising Membership Signals Along the Interpolation Path
Thomas Sesmat, Gabriel Meseguer-Brocal, Geoffroy Peeters
cs.LGcs.AIcs.SDarXiv:2606.07271v32026
Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking
Fan Zhang, Vireo Zhang, Shengju Qian +7
cs.CVarXiv:2606.07689v12026
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang, Furu Wei, Li Dong +3
cs.CLarXiv:2002.10957v22020
ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction
Amirhossein Abaskohi, Yuhang He, Peter West +3
cs.CLarXiv:2605.11212v32026
Learning Structured Sparsity in Deep Neural Networks
Wei Wen, Chunpeng Wu, Yandan Wang +2
cs.NEcs.LGstat.MLarXiv:1608.03665v42016
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
Shital Shah, Debadeepta Dey, Chris Lovett +1
cs.ROcs.AIcs.CVarXiv:1705.05065v22017
Listen, Attend and Spell
William Chan, Navdeep Jaitly, Quoc V. Le +1
cs.CLcs.LGcs.NEarXiv:1508.01211v22015
Deeply-Supervised Nets
Chen-Yu Lee, Saining Xie, Patrick Gallagher +2
stat.MLcs.CVcs.LGarXiv:1409.5185v22014
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani +4
cs.CVarXiv:1904.05866v12019
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee
cs.CVarXiv:1612.02177v22016
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein +2
cs.CVcs.LGarXiv:1703.05921v12017
How Far Can Chord-Symbol Time-Series Adaptation Carry Genre Identity? Capabilities and Boundaries in Multi-Genre Chord-Symbol Modeling
Jinju Lee
cs.SDcs.LGarXiv:2606.07334v42026
Similarity of Neural Network Representations Revisited
Simon Kornblith, Mohammad Norouzi, Honglak Lee +1
cs.LGq-bio.NCstat.MLarXiv:1905.00414v42019
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim +1
cs.AIcs.CVcs.LGarXiv:1705.08690v32017
TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao, Yichun Yin, Lifeng Shang +5
cs.CLcs.AIcs.LGarXiv:1909.10351v52019
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding, Xiangyu Zhang, Ningning Ma +3
cs.CVcs.AIcs.LGarXiv:2101.03697v32021
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly +1
cs.LGcs.CLcs.CVarXiv:1506.03099v32015
Skip-Thought Vectors
Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov +4
cs.CLcs.LGarXiv:1506.06726v12015
dots.tts Technical Report
Shi Lian, Changtao Li, Bohan Li +6
cs.SDcs.AIeess.ASarXiv:2606.07080v22026
PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
Fuqiang Wang, Song Tan, Zheng Guo +8
cs.IRcs.AIarXiv:2606.07454v12026
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yifan Jiang, Xinyu Gong, Ding Liu +6
cs.CVeess.IVarXiv:1906.06972v22019
ECO: Efficient Convolution Operators for Tracking
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan +1
cs.CVarXiv:1611.09224v22016
AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization
Yu Li, Menghan Xia, Gongye Liu +8
cs.CVarXiv:2606.07326v12026
Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings
Songhao Wu, Zhongxin Chen, Yuxuan Liu +3
cs.CLcs.IRarXiv:2606.07502v12026
Robotic Policy Adaptation via Weight-Space Meta-Learning
Christian Bianchi, Siamak Yousefi, Alessio Sampieri +4
cs.ROcs.CVcs.LGarXiv:2606.07217v12026
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang +3
eess.IVcs.CVcs.LGarXiv:2201.01266v12022
Mixed Precision Training
Paulius Micikevicius, Sharan Narang, Jonah Alben +8
cs.AIcs.LGstat.MLarXiv:1710.03740v32017
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu, Tengge Hu, Yong Liu +3
cs.LGarXiv:2210.02186v32022
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce, Matthias Hein
cs.LGcs.CVstat.MLarXiv:2003.01690v22020
SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
Zequn Xie, Junjie Wang, Dan Yang +4
cs.LGcs.AIarXiv:2606.07074v12026
Optimal detection of changepoints with a linear computational cost
R. Killick, P. Fearnhead, I. A. Eckley
stat.MEq-bio.GNq-bio.QMarXiv:1101.1438v32011
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu, Bin Xiao, Noel Codella +4
cs.CVarXiv:2103.15808v12021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
stat.APcs.CYstat.MLarXiv:1610.07524v12016
The Cold-Start Safety Gap in LLM Agents
Chung-En Sun, Linbo Liu, Tsui-Wei Weng
cs.CLarXiv:2606.07867v12026
Spectre Attacks: Exploiting Speculative Execution
Paul Kocher, Daniel Genkin, Daniel Gruss +7
cs.CRarXiv:1801.01203v12018

Every paper with a summary

Adversarial Autoencoders

MMBench: Is Your Multi-modal Model an All-around Player?

Visualizing the Loss Landscape of Neural Nets

Practical recommendations for gradient-based training of deep architectures

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Qwen2 Technical Report

Representation Learning on Graphs with Jumping Knowledge Networks

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Generating Diverse High-Fidelity Images with VQ-VAE-2

Decision Transformer: Reinforcement Learning via Sequence Modeling

A Tutorial on Bayesian Optimization

Variational image compression with a scale hyperprior

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Beyond Short Snippets: Deep Networks for Video Classification

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

CALYPSO: a method for crystal structure prediction

Deep Reinforcement Learning that Matters

Group Equivariant Convolutional Networks

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Empirical Study on the Characteristics and Evolution of AI-usage in GitHub Repositories: Evidence from Code Comments

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors

LIMMT: Less is More for Motion Tracking

Where Flow Matching Leaks: Characterising Membership Signals Along the Interpolation Path

Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking

MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction

Learning Structured Sparsity in Deep Neural Networks

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

Listen, Attend and Spell

Deeply-Supervised Nets

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

How Far Can Chord-Symbol Time-Series Adaptation Carry Genre Identity? Capabilities and Boundaries in Multi-Genre Chord-Symbol Modeling

Similarity of Neural Network Representations Revisited

Continual Learning with Deep Generative Replay

TinyBERT: Distilling BERT for Natural Language Understanding

RepVGG: Making VGG-style ConvNets Great Again

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

Skip-Thought Vectors

dots.tts Technical Report

PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams

EnlightenGAN: Deep Light Enhancement without Paired Supervision

ECO: Efficient Convolution Operators for Tracking

AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization

Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings

Robotic Policy Adaptation via Weight-Space Meta-Learning

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

Mixed Precision Training

TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating

Optimal detection of changepoints with a linear computational cost

CvT: Introducing Convolutions to Vision Transformers

Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

The Cold-Start Safety Gap in LLM Agents

Spectre Attacks: Exploiting Speculative Execution