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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57,601 to 57,660 of 61,271

M2Retinexformer: Multi-Modal Retinexformer for Low-Light Image Enhancement
Youssef Aboelwafa, Hicham G. Elmongui, Marwan Torki
cs.CVarXiv:2605.12556v12026
Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
Yunho Choi, Jongwon Lim, Woojin Ahn +3
cs.LGcs.AIcs.CLarXiv:2605.07579v22026
TBD-VLA: Temporal Block Diffusion Vision Language Action Model
Sung-Wook Lee, Xuhui Kang, Yen-Ling Kuo
cs.CVcs.ROarXiv:2606.07895v12026
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung, Arsha Nagrani, Andrew Zisserman
cs.SDcs.CVeess.ASarXiv:1806.05622v22018
Attention-Based Models for Speech Recognition
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk +2
cs.CLcs.LGcs.NEarXiv:1506.07503v12015
Leveraging Morphology for Historical Script Metrological Analysis
Malamatenia Vlachou Efstathiou, Raphaël Baena, Dominique Stutzmann +1
cs.CVarXiv:2606.09446v12026
Hindsight Experience Replay
Marcin Andrychowicz, Filip Wolski, Alex Ray +7
cs.LGcs.AIcs.NEarXiv:1707.01495v32017
Thinking Fast and Slow: Optimization Decomposition Across Timescales
Gautam Goel, Niangjun Chen, Adam Wierman
math.OCarXiv:1704.07785v22017
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon +4
physics.data-anmath.OCstat.AParXiv:1202.6294v22012
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan, Anabia Sohail, Umme Zahoora +1
cs.CVarXiv:1901.06032v72019
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman
cs.CVarXiv:1604.06573v22016
Theory and Applications of Robust Optimization
Dimitris Bertsimas, David B. Brown, Constantine Caramanis
math.OCcs.CEarXiv:1010.5445v12010
TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs
Hyeongwon Jang, Gyouk Chu, Changhun Kim +3
cs.LGcs.AIcs.CLarXiv:2606.09030v12026
Deeply-Recursive Convolutional Network for Image Super-Resolution
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
cs.CVcs.LGarXiv:1511.04491v22015
Visual Para-Thinker++: A Single-Policy Multi-Agent Framework for Visual Reasoning
Haoran Xu, Hongyu Wang, Yifei Gao +4
cs.CVarXiv:2606.09290v12026
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre, Wenqi Li, Tom Vercauteren +2
cs.CVarXiv:1707.03237v32017
Event-based Vision: A Survey
Guillermo Gallego, Tobi Delbruck, Garrick Orchard +8
cs.CVcs.AIcs.LGarXiv:1904.08405v32019
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He, Xiangyu Zhang, Jian Sun
cs.CVarXiv:1707.06168v22017
Publicly Available Clinical BERT Embeddings
Emily Alsentzer, John R. Murphy, Willie Boag +4
cs.CLarXiv:1904.03323v32019
PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models
Gianluca Barmina, Federico Torrielli, Sven Harms +7
cs.CLarXiv:2606.09697v12026
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett +2
cs.CLarXiv:1510.03055v32015
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Jungil Kong, Jaehyeon Kim, Jaekyoung Bae
cs.SDcs.LGeess.ASarXiv:2010.05646v22020
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long, Han Zhu, Jianmin Wang +1
cs.LGstat.MLarXiv:1605.06636v22016
U-TTT: Towards Generalizable PET Image Denoising via Test-Time Training
Zhiwen Yang, Jiayin Li, Hao Lu +3
cs.CVarXiv:2606.11032v22026
Video Diffusion Models
Jonathan Ho, Tim Salimans, Alexey Gritsenko +3
cs.CVcs.AIcs.LGarXiv:2204.03458v22022
Shallow Prefill, Deep Decoding: Efficient Long-Context Inference via Layer-Asymmetric KV Visibility
Jungsuk Oh, Hyeseo Jeon, Hyunjune Ji +2
cs.AIarXiv:2605.06105v12026
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord, Nal Kalchbrenner, Oriol Vinyals +3
cs.CVcs.LGarXiv:1606.05328v22016
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin +2
cs.CVcs.GRarXiv:2111.12077v32021
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma, Eduard Hovy
cs.LGcs.CLstat.MLarXiv:1603.01354v52016
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie, Minh-Thang Luong, Eduard Hovy +1
cs.LGcs.CVstat.MLarXiv:1911.04252v42019
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
Tong Zheng, Haolin Liu, Chengsong Huang +10
cs.CLarXiv:2605.08083v22026
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
Sumio Watanabe
cs.LGarXiv:1004.2316v22010
Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs
Wanli Yang, Hongyu Zang, Junwei Zhang +5
cs.CLarXiv:2605.07153v12026
Quantum Machine Learning
Jacob Biamonte, Peter Wittek, Nicola Pancotti +3
quant-phcond-mat.str-elstat.MLarXiv:1611.09347v22016
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi +1
cs.CVcs.AIcs.LGarXiv:1610.08401v32016
Link Prediction in Complex Networks: A Survey
Linyuan Lu, Tao Zhou
physics.soc-phcs.SIphysics.comp-pharXiv:1010.0725v12010
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu, Jianguo Li, Zhiqiang Shen +3
cs.CVcs.AIcs.LGarXiv:1708.06519v12017
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush, Sumit Chopra, Jason Weston
cs.CLcs.AIarXiv:1509.00685v22015
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon +4
cs.CVcs.CLcs.GRarXiv:2208.01618v12022
LLaVA-OneVision: Easy Visual Task Transfer
Bo Li, Yuanhan Zhang, Dong Guo +8
cs.CVcs.AIcs.CLarXiv:2408.03326v32024
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik +3
cs.CVcs.GRarXiv:2103.13415v32021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao, Stella Biderman, Sid Black +9
cs.CLarXiv:2101.00027v12020
Pixel Recurrent Neural Networks
Aaron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
cs.CVcs.LGcs.NEarXiv:1601.06759v32016
Ising formulations of many NP problems
Andrew Lucas
cond-mat.stat-mechcs.CCcs.DSarXiv:1302.5843v32013
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng, Judy Hoffman, Ning Zhang +2
cs.CVarXiv:1412.3474v12014
NARU: A Benchmark for NARrative Evolution and Cultural Nuance Understanding in Japanese Extreme Long Video
Yuheng Huang, Jianlang Chen, Jiayang Song +6
cs.CVcs.AIcs.MMarXiv:2608.13210v12026
Graph Contrastive Learning with Augmentations
Yuning You, Tianlong Chen, Yongduo Sui +3
cs.LGcs.AIarXiv:2010.13902v32020
SkillEvo: Self-Renewing Evolution Gradients from Multi-Turn Interaction Feedback
Qianxi Yan, Chunrong Chen, Jiuzhou Zhao +3
cs.AIarXiv:2608.13120v12026
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
cs.CVarXiv:1812.04244v22018
Unsupervised Image-to-Image Translation Networks
Ming-Yu Liu, Thomas Breuel, Jan Kautz
cs.CVcs.AIarXiv:1703.00848v62017
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma, Danilo J. Rezende, Shakir Mohamed +1
cs.LGstat.MLarXiv:1406.5298v22014
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie +1
cs.LGcs.CLstat.MLarXiv:1902.10197v12019
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
Baoguang Shi, Xiang Bai, Cong Yao
cs.CVarXiv:1507.05717v12015
Hierarchical Self-Improvement: A Framework for Task-Specific Evolvable Agent Harnesses
Tailin Zhou
cs.AIarXiv:2608.08466v12026
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen, Rob Fergus
cs.CVarXiv:1411.4734v42014
Stochastic Variational Inference
Matt Hoffman, David M. Blei, Chong Wang +1
stat.MLcs.AIstat.COarXiv:1206.7051v32012
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
Ramesh Nallapati, Bowen Zhou, Cicero Nogueira dos santos +2
cs.CLarXiv:1602.06023v52016
SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz +1
cs.CVarXiv:1911.11763v22019
Summaries:한국어
VMamba: Visual State Space Model
Yue Liu, Yunjie Tian, Yuzhong Zhao +6
cs.CVarXiv:2401.10166v42024
Remote Sensing Image Scene Classification: Benchmark and State of the Art
Gong Cheng, Junwei Han, Xiaoqiang Lu
cs.CVarXiv:1703.00121v12017

Every paper with a summary

M2Retinexformer: Multi-Modal Retinexformer for Low-Light Image Enhancement

Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States

TBD-VLA: Temporal Block Diffusion Vision Language Action Model

VoxCeleb2: Deep Speaker Recognition

Attention-Based Models for Speech Recognition

Leveraging Morphology for Historical Script Metrological Analysis

Hindsight Experience Replay

Thinking Fast and Slow: Optimization Decomposition Across Timescales

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

A Survey of the Recent Architectures of Deep Convolutional Neural Networks

Convolutional Two-Stream Network Fusion for Video Action Recognition

Theory and Applications of Robust Optimization

TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs

Deeply-Recursive Convolutional Network for Image Super-Resolution

Visual Para-Thinker++: A Single-Policy Multi-Agent Framework for Visual Reasoning

Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

Event-based Vision: A Survey

Channel Pruning for Accelerating Very Deep Neural Networks

Publicly Available Clinical BERT Embeddings

PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models

A Diversity-Promoting Objective Function for Neural Conversation Models

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Deep Transfer Learning with Joint Adaptation Networks

U-TTT: Towards Generalizable PET Image Denoising via Test-Time Training

Video Diffusion Models

Shallow Prefill, Deep Decoding: Efficient Long-Context Inference via Layer-Asymmetric KV Visibility

Conditional Image Generation with PixelCNN Decoders

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Self-training with Noisy Student improves ImageNet classification

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling

Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory

Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs

Quantum Machine Learning

Universal adversarial perturbations

Link Prediction in Complex Networks: A Survey

Learning Efficient Convolutional Networks through Network Slimming

A Neural Attention Model for Abstractive Sentence Summarization

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

LLaVA-OneVision: Easy Visual Task Transfer

Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Pixel Recurrent Neural Networks

Ising formulations of many NP problems

Deep Domain Confusion: Maximizing for Domain Invariance

NARU: A Benchmark for NARrative Evolution and Cultural Nuance Understanding in Japanese Extreme Long Video

Graph Contrastive Learning with Augmentations

SkillEvo: Self-Renewing Evolution Gradients from Multi-Turn Interaction Feedback

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

Unsupervised Image-to-Image Translation Networks

Semi-Supervised Learning with Deep Generative Models

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

Hierarchical Self-Improvement: A Framework for Task-Specific Evolvable Agent Harnesses

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture

Stochastic Variational Inference

Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

SuperGlue: Learning Feature Matching with Graph Neural Networks

VMamba: Visual State Space Model

Remote Sensing Image Scene Classification: Benchmark and State of the Art