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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49,921 to 49,980 of 61,271

A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro
cs.LGarXiv:1707.09564v22017
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang +4
cs.CVarXiv:2008.07519v12020
MoTE: Mixture of Task Experts for Multi-Task Video Understanding
Muhammad Asad Ali, Umar Khan, Nadia Robertini +1
cs.CVcs.LGarXiv:2608.24763v12026
Physics-informed learning of governing equations from scarce data
Zhao Chen, Yang Liu, Hao Sun
cs.LGphysics.comp-phphysics.data-anarXiv:2005.03448v32020
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg +4
cs.LGcs.AIstat.MLarXiv:1806.01242v12018
Large Causal Models for Temporal Causal Discovery
Nikolaos Kougioulis, Nikolaos Gkorgkolis, MingXue Wang +4
cs.LGarXiv:2602.18662v32026
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Penghao Zhao, Hailin Zhang, Qinhan Yu +7
cs.CVarXiv:2402.19473v62024
Deep MR to CT Synthesis using Unpaired Data
Jelmer M. Wolterink, Anna M. Dinkla, Mark H. F. Savenije +3
cs.CVarXiv:1708.01155v12017
No One Size Fits All: QueryBandits for Hallucination Mitigation
Nicole Cho, William Watson, Alec Koppel +2
cs.CLcs.AIcs.LGarXiv:2602.20332v12026
On Causal and Anticausal Learning
Bernhard Schoelkopf, Dominik Janzing, Jonas Peters +3
cs.LGstat.MLarXiv:1206.6471v12012
Action Recognition using Visual Attention
Shikhar Sharma, Ryan Kiros, Ruslan Salakhutdinov
cs.LGcs.CVarXiv:1511.04119v32015
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger
cs.CLcs.AIarXiv:1907.13528v22019
Learning to Detect Language Model Training Data via Active Reconstruction
Junjie Oscar Yin, John X. Morris, Vitaly Shmatikov +2
cs.LGcs.AIcs.CLarXiv:2602.19020v12026
Permutation p-values should never be zero: calculating exact p-values when permutations are randomly drawn
Belinda Phipson, Gordon K. Smyth
stat.AParXiv:1603.05766v12016
GlanceWAM: Sparse Test-Time Imagination for World-Action Models
Linhan Wang, Zijian An, Mingyuan Zhang +7
cs.CVarXiv:2608.23927v12026
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Ning Xu, Linjie Yang, Yuchen Fan +4
cs.CVcs.AIarXiv:1809.03327v12018
Summaries:한국어
Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning
Chongwen Huang, Ronghong Mo, Chau Yuen
cs.ITcs.LGarXiv:2002.10072v12020
Steering Recurrent Reasoners at Inference Time with Readout Feedback
Shunsuke Kamiya, Masanori Koyama, Seongcheol Jeong +5
cs.LGarXiv:2608.24136v12026
Bridging Teacher Expectations and Robot Learning via Coupling Dynamics
Evan Dallas, Sean Dallas, Wing-Yue Geoffrey Louie
cs.ROcs.HCarXiv:2608.23994v12026
Beyond Confidence: Test-Time Scaling for Multi-Turn Search Agents via Retrieval Grounding
Hyunho Kook, Junhyuk So, Tianyu Fu +2
cs.AIarXiv:2608.24024v12026
CARE: Camera-Residual Reserves for First Sightings in Adaptive LiDAR Sensing
Jiachen Gong, Yun Li, Ehsan Javanmardi +2
cs.CVcs.ROarXiv:2608.24282v12026
Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization
Gabriel Loiseau, Damien Sileo, Damien Riquet +2
cs.CLarXiv:2602.20743v22026
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering
Bo Liu, Li-Ming Zhan, Li Xu +3
cs.CVcs.AIcs.CLarXiv:2102.09542v12021
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Zongyi Li, Daniel Zhengyu Huang, Burigede Liu +1
cs.LGmath.NAarXiv:2207.05209v22022
Semantic Communication Systems for Speech Transmission
Zhenzi Weng, Zhijin Qin
eess.SParXiv:2102.12605v22021
Deep Learning in Medical Image Registration: A Survey
Grant Haskins, Uwe Kruger, Pingkun Yan
q-bio.QMcs.CVeess.IVarXiv:1903.02026v22019
Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems
CheolWon Na, Hao Ni, Lukasz Szpruch +7
cs.AIcs.CEarXiv:2608.24069v12026
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Lijun Yu, José Lezama, Nitesh B. Gundavarapu +13
cs.CVcs.AIcs.MMarXiv:2310.05737v32023
EgoPush: Learning End-to-End Egocentric Multi-Object Rearrangement for Mobile Robots
Boyuan An, Zhexiong Wang, Yipeng Wang +4
cs.ROarXiv:2602.18071v12026
DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain
Walter Hernandez Cruz, Peter Devine, Nikhil Vadgama +2
cs.CLarXiv:2602.22045v22026
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
Renlong Hang, Qingshan Liu, Danfeng Hong +1
cs.CVarXiv:1902.10858v12019
TRACE: An Evidence-Grounded Benchmark for Safety Evaluation of Large Reasoning Models
Zhenyu Wu, Siyuan Chen, Changchun Yang +8
cs.AIarXiv:2608.24232v12026
MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
Xabier de Zuazo, Vincenzo Verbeni, Eva Navas +3
cs.LGarXiv:2602.18253v12026
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
Sosuke Kobayashi
cs.CLcs.LGarXiv:1805.06201v12018
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs
K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu
cs.CVarXiv:1712.07384v12017
SoK: ARCUS: On the Efficiency and Efficacy of Hardware Fuzzing
Alenkruth Krishnan Murali, Raghul Saravanan, Sai Manoj P D +1
cs.CRcs.SEarXiv:2608.23933v12026
Generalized power method for sparse principal component analysis
Michel Journée, Yurii Nesterov, Peter Richtárik +1
math.OCarXiv:0811.4724v12008
SIREN-Bench: Behavior-Driven Generation and Evaluation of Emergency-Vehicle Interactions
Yicheng Zhu, Tianmu Zhao, Haoxin Leng +3
cs.ROarXiv:2608.24094v12026
Yor-Sarc: A gold-standard dataset for sarcasm detection in a low-resource African language
Toheeb Aduramomi Jimoh, Tabea De Wille, Nikola S. Nikolov
cs.CLarXiv:2602.18964v12026
DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference
Aditya Kumar Singh, Hitesh Kandala, Pratik Prabhanjan Brahma +2
cs.CVcs.AIarXiv:2602.18846v22026
Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images
Yuxuan Yang, Zhonghao Yan, Yi Zhang +6
cs.CVarXiv:2602.19424v32026
Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
Dana Berman, Deborah Levy, Shai Avidan +1
cs.CVarXiv:1811.01343v32018
A Simple Convolutional Generative Network for Next Item Recommendation
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis +2
cs.IRcs.LGstat.MLarXiv:1808.05163v42018
Communication-Inspired Tokenization for Structured Image Representations
Aram Davtyan, Yusuf Sahin, Yasaman Haghighi +4
cs.CVcs.AIcs.LGarXiv:2602.20731v12026
Segmented Continuous Optimization
Teymur Aghayev
eess.SPcs.LGarXiv:2602.20857v22026
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions
Oscar Li, Hao Liu, Chaofan Chen +1
cs.AIcs.LGstat.MLarXiv:1710.04806v22017
Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking
Ravi Ghadia, Maksim Abraham, Sergei Vorobyov +1
cs.LGcs.DCarXiv:2602.21196v22026
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge
Michel Valstar, Jonathan Gratch, Bjorn Schuller +7
cs.CVcs.HCcs.MMarXiv:1605.01600v42016
Small Language Models for Privacy-Preserving Clinical Information Extraction in Low-Resource Languages
Mohammadreza Ghaffarzadeh-Esfahani, Nahid Yousefian, Ebrahim Heidari-Farsani +4
cs.CLcs.AIcs.LGarXiv:2602.21374v12026
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim +3
cs.LGarXiv:2010.16011v32020
How to Take a Memorable Picture? Empowering Users with Actionable Feedback
Francesco Laiti, Davide Talon, Jacopo Staiano +1
cs.CVarXiv:2602.21877v22026
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan, Jiangwei Xie, Xuming He
cs.CVcs.LGarXiv:2103.16788v12021
Humans and LLMs Diverge on Probabilistic Inferences
Gaurav Kamath, Sreenath Madathil, Sebastian Schuster +2
cs.CLcs.AIarXiv:2602.23546v12026
Data Leakage Inflates Generalizability of Power Outage Prediction Models
Yamil Essus, Ranga Raju Vatsavai, Benjamin Rachunok
cs.LGarXiv:2608.24665v12026
Transformers converge to invariant algorithmic cores
Joshua S. Schiffman
cs.LGcs.AIarXiv:2602.22600v22026
CL4SE: Benchmarking Context Learning on Software Engineering
Haichuan Hu, Quanjun Zhang, Ye Shang +4
cs.SEarXiv:2602.23047v32026
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen, Zhen Dong, Jiayu Ye +5
cs.CLcs.LGarXiv:1909.05840v22019
Structural biology in the clouds: The WeNMR-EOSC Ecosystem
Rodrigo Vargas Honorato, Panagiotis I. Koukos, Brian Jiménez-García +5
q-bio.BMcs.CEcs.DCarXiv:2107.01056v12021
Half-Truths Break Similarity-Based Retrieval
Bora Kargi, Arnas Uselis, Seong Joon Oh
cs.CVarXiv:2602.23906v12026
Gripper-aware Vision Language Action Models
Hanyi Zhang, Zihong Luo, Tianyu Li +16
cs.ROarXiv:2608.24603v12026

Every paper with a summary

A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

MoTE: Mixture of Task Experts for Multi-Task Video Understanding

Physics-informed learning of governing equations from scarce data

Graph networks as learnable physics engines for inference and control

Large Causal Models for Temporal Causal Discovery

Retrieval-Augmented Generation for AI-Generated Content: A Survey

Deep MR to CT Synthesis using Unpaired Data

No One Size Fits All: QueryBandits for Hallucination Mitigation

On Causal and Anticausal Learning

Action Recognition using Visual Attention

What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models

Learning to Detect Language Model Training Data via Active Reconstruction

Permutation p-values should never be zero: calculating exact p-values when permutations are randomly drawn

GlanceWAM: Sparse Test-Time Imagination for World-Action Models

YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning

Steering Recurrent Reasoners at Inference Time with Readout Feedback

Bridging Teacher Expectations and Robot Learning via Coupling Dynamics

Beyond Confidence: Test-Time Scaling for Multi-Turn Search Agents via Retrieval Grounding

CARE: Camera-Residual Reserves for First Sightings in Adaptive LiDAR Sensing

Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization

SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries

Semantic Communication Systems for Speech Transmission

Deep Learning in Medical Image Registration: A Survey

Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

EgoPush: Learning End-to-End Egocentric Multi-Object Rearrangement for Mobile Robots

DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

TRACE: An Evidence-Grounded Benchmark for Safety Evaluation of Large Reasoning Models

MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data

Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations

DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs

SoK: ARCUS: On the Efficiency and Efficacy of Hardware Fuzzing

Generalized power method for sparse principal component analysis

SIREN-Bench: Behavior-Driven Generation and Evaluation of Emergency-Vehicle Interactions

Yor-Sarc: A gold-standard dataset for sarcasm detection in a low-resource African language

DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference

Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images

Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset

A Simple Convolutional Generative Network for Next Item Recommendation

Communication-Inspired Tokenization for Structured Image Representations

Segmented Continuous Optimization

Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking

AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

Small Language Models for Privacy-Preserving Clinical Information Extraction in Low-Resource Languages

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning

How to Take a Memorable Picture? Empowering Users with Actionable Feedback

DER: Dynamically Expandable Representation for Class Incremental Learning

Humans and LLMs Diverge on Probabilistic Inferences

Data Leakage Inflates Generalizability of Power Outage Prediction Models

Transformers converge to invariant algorithmic cores

CL4SE: Benchmarking Context Learning on Software Engineering

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT

Structural biology in the clouds: The WeNMR-EOSC Ecosystem

Half-Truths Break Similarity-Based Retrieval

Gripper-aware Vision Language Action Models