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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58,621 to 58,680 of 61,351

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen, Christian Puhrsch, Rob Fergus
cs.CVarXiv:1406.2283v12014
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai +3
cs.CLcs.AIcs.LGarXiv:2106.07447v12021
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung, Yongxin Yang, Li Zhang +3
cs.CVarXiv:1711.06025v22017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon +1
cs.CVarXiv:1603.05279v42016
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Peng Wang, Shuai Bai, Sinan Tan +16
cs.CVcs.AIcs.CLarXiv:2409.12191v22024
GPT-4o System Card
OpenAI, :, Aaron Hurst +417
cs.CLcs.AIcs.CVarXiv:2410.21276v12024
CentaurBench: Benchmarking LLM Capabilities on Augmenting vs. Automating Real-World Work Tasks
Pattaraphon Kenny Wongchamcharoen, Kris Gulati, Min Min Fong +1
cs.CYcs.AIcs.MAarXiv:2608.18554v12026
Estimating Psychological Networks and their Accuracy: A Tutorial Paper
Sacha Epskamp, Denny Borsboom, Eiko I. Fried
stat.APstat.MEarXiv:1604.08462v42016
Haplotype-based variant detection from short-read sequencing
Erik Garrison, Gabor Marth
q-bio.GNq-bio.QMarXiv:1207.3907v22012
DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents
Hangrui Xu, Jiarui Wang, Yang Yang +5
cs.CLcs.AIcs.LGarXiv:2608.18524v12026
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue, Yangqing Jia, Oriol Vinyals +4
cs.CVarXiv:1310.1531v12013
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao +6
cs.CVarXiv:1602.03409v12016
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson, Xiaodong He, Chris Buehler +4
cs.CVarXiv:1707.07998v32017
Qwen2.5 Technical Report
Qwen, :, An Yang +41
cs.CLarXiv:2412.15115v22024
Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts
Kartik Chincholikar, Kaushik Gopalan, Mihir Hasabnis
cs.CVcs.AIarXiv:2608.18696v12026
FitNets: Hints for Thin Deep Nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou +3
cs.LGcs.NEarXiv:1412.6550v42014
Simple Online and Realtime Tracking with a Deep Association Metric
Nicolai Wojke, Alex Bewley, Dietrich Paulus
cs.CVarXiv:1703.07402v12017
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
D. Needell, J. A. Tropp
math.NAcs.ITarXiv:0803.2392v22008
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn, David Berthelot, Chun-Liang Li +6
cs.LGcs.CVstat.MLarXiv:2001.07685v22020
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman, Philipp Moritz, Sergey Levine +2
cs.LGcs.ROeess.SYarXiv:1506.02438v62015
Composed Historical Image Retrieval by Modeling Temporal Representations
Adrià Molina Rodríguez, Oriol Ramos Terrades, Josep Lladós Canet
cs.CVcs.AIcs.IRarXiv:2608.18694v12026
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, Anshul Kundaje
cs.CVcs.LGcs.NEarXiv:1704.02685v22017
Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections
Jacopo Ghirri, Carlos Rodriguez-Pardo, Lara Aleluia Reis +1
cs.LGcs.AIecon.GNarXiv:2608.18690v12026
A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts +1
cs.CLarXiv:1508.05326v12015
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh +5
cs.CVcs.GRcs.LGarXiv:2112.10741v32021
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang, Ke Yu, Shixiang Wu +6
cs.CVarXiv:1809.00219v22018
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang, Ke Sun, Tianheng Cheng +9
cs.CVarXiv:1908.07919v22019
OmniHandwritingOCR: A Diagnostic Benchmark for Evaluating Multimodal LLMs in Handwritten OCR Scenarios
Zinuo Guo, Min Zhang, Bo Jiang
cs.CVcs.AIarXiv:2608.18586v12026
Reflexion: Language Agents with Verbal Reinforcement Learning
Noah Shinn, Federico Cassano, Edward Berman +3
cs.AIcs.CLcs.LGarXiv:2303.11366v42023
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl +1
cs.CVcs.LGstat.MLarXiv:1611.07725v22016
SwinIR: Image Restoration Using Swin Transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun +3
eess.IVcs.CVarXiv:2108.10257v12021
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende, Shakir Mohamed
stat.MLcs.AIcs.LGarXiv:1505.05770v62015
CNN Features off-the-shelf: an Astounding Baseline for Recognition
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan +1
cs.CVarXiv:1403.6382v32014
Least Squares Generative Adversarial Networks
Xudong Mao, Qing Li, Haoran Xie +3
cs.CVarXiv:1611.04076v32016
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
Pierre Sermanet, David Eigen, Xiang Zhang +3
cs.CVarXiv:1312.6229v42013
OptiModNet: A UNet-Transformer Hybrid with Grouped-Query and Channel Attention for Optic Disc and Cup Segmentation
Soumili Ghosh, Debapriya Roy, Aryan Das +1
cs.CVcs.AIarXiv:2608.18516v12026
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng, Ping Wang, Wei Liu +3
cs.CVarXiv:1911.08287v12019
Kwai Keye-VL-2.0 Technical Report
Kwai Keye Team, Bin Wen, Changyi Liu +50
cs.CVarXiv:2606.10651v12026
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama +1
cs.LGcs.CVstat.MLarXiv:1802.05957v12018
Coverage-Driven RTL Assertion Generation with Formal Exploration and Neuro-Symbolic Refinement
Zhiyuan Yan, Ziyue Zheng, Hongce Zhang
cs.ARcs.AIarXiv:2608.18482v12026
SeisEvo: Evolution of Seismic Data Reconstruction Algorithms by Agents
Yingjie Xu, Siwei Yu, Jianwei Ma
physics.geo-phcs.AIcs.NEarXiv:2608.18272v12026
Toolformer: Language Models Can Teach Themselves to Use Tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì +5
cs.CLarXiv:2302.04761v12023
FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning
Holger R. Roth, Ziyue Xu, Peter Cnudde
cs.CVcs.AIcs.LGarXiv:2608.18311v12026
Coordinate Attention for Efficient Mobile Network Design
Qibin Hou, Daquan Zhou, Jiashi Feng
cs.CVarXiv:2103.02907v12021
TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognition in LVLMs
Muhammad Haseeb Aslam, Alessandro Koerich, Marco Pedersoli +2
cs.CVcs.AIarXiv:2608.18386v12026
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri +3
cs.CYcs.AIcs.LGarXiv:1802.01933v32018
One Gate Is Not Enough: Composing Stateful Pre-Action Controls for Agentic AI
Gaston Besanson
cs.SEcs.AIcs.CYarXiv:2608.18360v12026
EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents
Weixian Xu, Shilong Liu, Mengdi Wang
cs.LGcs.AIarXiv:2606.11182v12026
Science Done on a Machine by a Machine: AI Agents in Computational Chemistry
Pavlo O. Dral, Hassan Nawaz, Arif Ullah
physics.chem-phcs.AIphysics.comp-pharXiv:2608.18508v12026
Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP Agents
Alexander Tu, Michael Tu
cs.CRcs.AIcs.LGarXiv:2608.18351v12026
Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It
Xinyu Zhou, Boyu Zhu, Yi Xu +4
cs.CLarXiv:2606.11052v12026
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Aki Vehtari, Andrew Gelman, Jonah Gabry
stat.COstat.MEarXiv:1507.04544v52015
ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level Combinatorics
Shunkai Zhang, Haoran Zhang, Yun Luo +15
cs.AIarXiv:2606.10479v12026
ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems
Ergan Shang, Flavio Sales Truzzi
cs.LGcs.AIarXiv:2608.18469v12026
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams, Nikita Nangia, Samuel R. Bowman
cs.CLarXiv:1704.05426v42017
Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering
Gal Bloch, Ariel Gera, Matan Orbach +2
cs.LGcs.DBcs.IRarXiv:2606.10896v12026
Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage
Shreeya Sharma, Ravish Gupta, Saket Kumar +1
cs.CLcs.AIcs.LGarXiv:2608.18438v12026
Summaries:한국어 日本語简体中文 Español Français Deutsch
Exploring Simple Siamese Representation Learning
Xinlei Chen, Kaiming He
cs.CVcs.LGarXiv:2011.10566v12020
Mechanistic Interpretability of Structure-Aware Numerical Reasoning in LLaMA 3.1 8B
Rahul Chowdhury, Timothy A Rupprecht, Senhao Cao +5
cs.LGcs.AIarXiv:2608.18419v12026
Vector Symbolic Policy Gradient
Ryozo Masukawa, Sanggeon Yun, SungHeon Jeong +6
cs.LGcs.AIcs.SCarXiv:2608.18404v12026

Every paper with a summary

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

Learning to Compare: Relation Network for Few-Shot Learning

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

GPT-4o System Card

CentaurBench: Benchmarking LLM Capabilities on Augmenting vs. Automating Real-World Work Tasks

Estimating Psychological Networks and their Accuracy: A Tutorial Paper

Haplotype-based variant detection from short-read sequencing

DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Qwen2.5 Technical Report

Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts

FitNets: Hints for Thin Deep Nets

Simple Online and Realtime Tracking with a Deep Association Metric

CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

High-Dimensional Continuous Control Using Generalized Advantage Estimation

Composed Historical Image Retrieval by Modeling Temporal Representations

Learning Important Features Through Propagating Activation Differences

Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections

A large annotated corpus for learning natural language inference

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Deep High-Resolution Representation Learning for Visual Recognition

OmniHandwritingOCR: A Diagnostic Benchmark for Evaluating Multimodal LLMs in Handwritten OCR Scenarios

Reflexion: Language Agents with Verbal Reinforcement Learning

iCaRL: Incremental Classifier and Representation Learning

SwinIR: Image Restoration Using Swin Transformer

Variational Inference with Normalizing Flows

CNN Features off-the-shelf: an Astounding Baseline for Recognition

Least Squares Generative Adversarial Networks

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

OptiModNet: A UNet-Transformer Hybrid with Grouped-Query and Channel Attention for Optic Disc and Cup Segmentation

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Kwai Keye-VL-2.0 Technical Report

Spectral Normalization for Generative Adversarial Networks

Coverage-Driven RTL Assertion Generation with Formal Exploration and Neuro-Symbolic Refinement

SeisEvo: Evolution of Seismic Data Reconstruction Algorithms by Agents

Toolformer: Language Models Can Teach Themselves to Use Tools

FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

Coordinate Attention for Efficient Mobile Network Design

TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognition in LVLMs

A Survey Of Methods For Explaining Black Box Models

One Gate Is Not Enough: Composing Stateful Pre-Action Controls for Agentic AI

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents

Science Done on a Machine by a Machine: AI Agents in Computational Chemistry

Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP Agents

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level Combinatorics

ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering

Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage

Exploring Simple Siamese Representation Learning

Mechanistic Interpretability of Structure-Aware Numerical Reasoning in LLaMA 3.1 8B

Vector Symbolic Policy Gradient