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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50,161 to 50,220 of 61,351

Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur, Ryota Tomioka, Nathan Srebro
cs.LGcs.AIcs.NEarXiv:1503.00036v22015
Micro-Diffusion Compression - Binary Tree Tweedie Denoising for Online Probability Estimation
Roberto Tacconelli
stat.MLcs.ITcs.LGarXiv:2603.08771v32026
NLE: Non-autoregressive LLM-based ASR by Transcript Editing
Avihu Dekel, Samuel Thomas, Takashi Fukada +1
eess.ASarXiv:2603.08397v12026
A Text-Native Interface for Generative Video Authoring
Xingyu Bruce Liu, Mira Dontcheva, Dingzeyu Li
cs.HCcs.AIarXiv:2603.09072v12026
Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems
Nava Haghighi, Danielle Olson, Halden Lin +4
cs.HCarXiv:2608.24058v12026
A unified deep artificial neural network approach to partial differential equations in complex geometries
Jens Berg, Kaj Nyström
stat.MLcs.LGarXiv:1711.06464v22017
Understanding by Reconstruction: Reversing the Software Development Process for LLM Pretraining
Zhiyuan Zeng, Yichi Zhang, Yong Shan +11
cs.SEarXiv:2603.11103v22026
Dual-horizon peridynamics: A stable solution to varying horizons
Huilong Renc, Xiaoying Zhuangd, Timon Rabczuk
physics.comp-pharXiv:1703.05910v12017
HyPER-GAN: Hybrid Patch-Based Image-to-Image Translation for Real-Time Photorealism Enhancement in Game Engines
Stefanos Pasios, Nikos Nikolaidis
cs.CVarXiv:2603.10604v32026
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Nantas Nardelli, Gregory Farquhar +4
cs.AIcs.LGcs.MAarXiv:1702.08887v32017
NeurRAFT: Robot Motion Planning via Anchor-Level Flow Matching with Clearance-Aware Preference Tuning
Sibo Tian, Chang Liu, Minghui Zheng +1
cs.ROarXiv:2608.24026v12026
Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation
Andrea Giuseppe Di Francesco, Andrea Rubbi, Pietro Liò
cs.LGcs.IRarXiv:2603.07233v12026
You Only Look One-level Feature
Qiang Chen, Yingming Wang, Tong Yang +3
cs.CVarXiv:2103.09460v12021
Structured Frequency-Domain Evidence for LLM-Based Time-Series Anomaly Detection
Jungwook Seo, Sangwon Son, Minjeong Kim +3
cs.LGcs.AIarXiv:2608.24113v12026
Causal Attribution of Coastal Water Clarity Degradation to Nickel Processing Expansion at the Indonesia Morowali Industrial Park, Sulawesi
Sandy Hardian Susanto Herho, Alfita Puspa Handayani, Iwan Pramesti Anwar +5
physics.ao-phphysics.soc-phstat.AParXiv:2603.07331v22026
HINet: Half Instance Normalization Network for Image Restoration
Liangyu Chen, Xin Lu, Jie Zhang +2
eess.IVcs.CVarXiv:2105.06086v22021
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
Rishabh Agarwal, Nino Vieillard, Yongchao Zhou +4
cs.LGcs.AIcs.CLarXiv:2306.13649v32023
Constraint-Guided Enterprise Data Mapping with Large Language Models
Sebastian Monka, Pramod Anantharam, Thien Vo Minh +1
cs.AIcs.CLarXiv:2608.24218v12026
Breaking Training Bottlenecks: Effective and Stable Reinforcement Learning for Coding Models
Zongqian Li, Shaohan Huang, Zewen Chi +5
cs.LGcs.CLcs.GLarXiv:2603.07777v12026
Scaling Data Difficulty: Improving Coding Models via Reinforcement Learning on Fresh and Challenging Problems
Zongqian Li, Tengchao Lv, Shaohan Huang +8
cs.CLcs.GLcs.LGarXiv:2603.07779v12026
Physical Network Coding in Two-Way Wireless Relay Channels
Petar Popovski, Hiroyuki Yomo
cs.ITcs.NIarXiv:0707.0459v12007
Reflection with Action-Induced Visual Differences for Desktop GUI Agents
Yijie Ma, Chaoyue Niu, Fan Wu +1
cs.AIarXiv:2608.24015v12026
FineRMoE: Dimension Expansion for Finer-Grained Expert with Its Upcycling Approach
Ning Liao, Xiaoxing Wang, Xiaohan Qin +1
cs.CVcs.AIarXiv:2603.13364v12026
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
Fuxian Li, Jie Feng, Huan Yan +3
cs.LGcs.AIarXiv:2104.14917v22021
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path
Xu Yan, Lili Mou, Ge Li +3
cs.CLcs.LGarXiv:1508.03720v12015
What Makes Training Multi-Modal Classification Networks Hard?
Weiyao Wang, Du Tran, Matt Feiszli
cs.CVcs.LGarXiv:1905.12681v52019
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
Niv Cohen, Yedid Hoshen
cs.CVcs.LGarXiv:2005.02357v32020
ConFu: Contemplate the Future for Better Speculative Sampling
Zongyue Qin, Raghavv Goel, Mukul Gagrani +3
cs.CLcs.LGarXiv:2603.08899v32026
Qwen2-Audio Technical Report
Yunfei Chu, Jin Xu, Qian Yang +9
eess.AScs.CLcs.LGarXiv:2407.10759v12024
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa +5
stat.MLarXiv:1101.2489v32011
Design-to-Plan: A Large Language Model-Based Multi-Agent Framework for Manufacturing Process Planning from 3D CAD Models and 2D Engineering Drawings
Muhammad Tayyab Khan, Lequn Chen, Wenhe Feng +1
cs.ROcs.AIarXiv:2608.24039v12026
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang, Jakub Konečný, Keith Rush +1
cs.LGstat.MLarXiv:1909.12488v22019
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Yevhen Kuznietsov, Jörg Stückler, Bastian Leibe
cs.CVarXiv:1702.02706v32017
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye, Xiuwen Fang, Bo Du +2
cs.LGcs.AIcs.CVarXiv:2307.10616v22023
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Angela Dai, Charles Ruizhongtai Qi, Matthias Nießner
cs.CVarXiv:1612.00101v22016
Detecting Intrinsic and Instrumental Self-Preservation in Autonomous Agents: The Unified Continuation-Interest Protocol
Christopher Altman
cs.AIcs.ETcs.LGarXiv:2603.11382v42026
Truth as a Compression Artifact in Language Model Training
Konstantin Krestnikov
cs.CLcs.AIarXiv:2603.11749v32026
Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge
Junjie Wu, Xuan Kan, Zihao He +3
cs.CLarXiv:2603.11665v22026
Network Representation Learning: A Survey
Daokun Zhang, Jie Yin, Xingquan Zhu +1
cs.SIcs.LGstat.MLarXiv:1801.05852v32017
Do You See What I Am Pointing At? Gesture-Based Egocentric Video Question Answering
Yura Choi, Roy Miles, Rolandos Alexandros Potamias +3
cs.CVarXiv:2603.12533v22026
MM-CondChain: A Programmatically Verified Benchmark for Visually Grounded Deep Compositional Reasoning
Haozhan Shen, Shilin Yan, Hongwei Xue +5
cs.CVarXiv:2603.12266v12026
Parameter Space Noise for Exploration
Matthias Plappert, Rein Houthooft, Prafulla Dhariwal +6
cs.LGcs.AIcs.NEarXiv:1706.01905v22017
Sparse Multi-Stage Expert-Agent Routing for Complex Clinical Reasoning
Sike Xiang, Shuang Chen, Qian sun +3
cs.CVarXiv:2608.21948v12026
abc: an R package for Approximate Bayesian Computation (ABC)
Katalin Csilléry, Olivier François, Michael GB Blum
q-bio.PEphysics.data-anstat.AParXiv:1106.2793v12011
MHPO: Modulated Hazard-aware Policy Optimization for Stable Reinforcement Learning
Hongjun Wang, Wei Liu, Weibo Gu +2
cs.LGcs.AIcs.CLarXiv:2603.16929v22026
Key Recovery from Residue-Confined Errors in Pradhan CRT-RLWE
Lukasz Olejnik, Bartosz Naskrecki
cs.CRarXiv:2608.21989v12026
Measuring Primitive Accumulation: An Information-Theoretic Approach to Capitalist Enclosure in PIK2, Indonesia
Sandy Hardian Susanto Herho, Alfita Puspa Handayani, Karina Aprilia Sujatmiko +5
physics.soc-phastro-ph.EPcond-mat.stat-mecharXiv:2603.13715v42026
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Pin-Yu Chen, Yash Sharma, Huan Zhang +2
stat.MLcs.CRcs.LGarXiv:1709.04114v32017
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh, Amar Phanishayee, Onur Mutlu +1
cs.LGstat.MLarXiv:1910.00189v22019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach
cs.IRcs.LGcs.NEarXiv:1907.06902v32019
Summaries:한국어
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Xu Han, Hao Zhu, Pengfei Yu +4
cs.LGcs.AIcs.CLarXiv:1810.10147v22018
Taking Shortcuts for Categorical VQA Using Super Neurons
Pierre Musacchio, Jaeyi Jeong, Dahun Kim +1
cs.CVcs.AIcs.LGarXiv:2603.10781v12026
Semantic Slots for Video Object-Centric Learning
Khalil Sabri, Guillaume-Alexandre Bilodeau, Nicolas Saunier +1
cs.CVarXiv:2608.21636v12026
COT-FM: Cluster-wise Optimal Transport Flow Matching
Chiensheng Chiang, Kuan-Hsun Tu, Jia-Wei Liao +2
cs.CVcs.LGcs.ROarXiv:2603.13395v12026
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
Qibin Hou, Li Zhang, Ming-Ming Cheng +1
cs.CVarXiv:2003.13328v12020
COMIC: Agentic Sketch Comedy Generation
Susung Hong, Brian Curless, Ira Kemelmacher-Shlizerman +1
cs.CVcs.AIcs.CLarXiv:2603.11048v12026
Generalisation in humans and deep neural networks
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber +3
cs.CVcs.AIcs.LGarXiv:1808.08750v32018
ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evaluation
Kadir-Kaan Özer, René Ebeling, Markus Enzweiler
cs.LGcs.AIarXiv:2603.10926v22026
Neural Network Field Theory at Finite Width
Christian Ferko, Aaron Mutchler
hep-thcond-mat.dis-nncs.LGarXiv:2608.21588v12026
Med3D: Transfer Learning for 3D Medical Image Analysis
Sihong Chen, Kai Ma, Yefeng Zheng
cs.CVarXiv:1904.00625v42019

Every paper with a summary

Norm-Based Capacity Control in Neural Networks

Micro-Diffusion Compression - Binary Tree Tweedie Denoising for Online Probability Estimation

NLE: Non-autoregressive LLM-based ASR by Transcript Editing

A Text-Native Interface for Generative Video Authoring

Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems

A unified deep artificial neural network approach to partial differential equations in complex geometries

Understanding by Reconstruction: Reversing the Software Development Process for LLM Pretraining

Dual-horizon peridynamics: A stable solution to varying horizons

HyPER-GAN: Hybrid Patch-Based Image-to-Image Translation for Real-Time Photorealism Enhancement in Game Engines

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

NeurRAFT: Robot Motion Planning via Anchor-Level Flow Matching with Clearance-Aware Preference Tuning

Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation

You Only Look One-level Feature

Structured Frequency-Domain Evidence for LLM-Based Time-Series Anomaly Detection

Causal Attribution of Coastal Water Clarity Degradation to Nickel Processing Expansion at the Indonesia Morowali Industrial Park, Sulawesi

HINet: Half Instance Normalization Network for Image Restoration

On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Constraint-Guided Enterprise Data Mapping with Large Language Models

Breaking Training Bottlenecks: Effective and Stable Reinforcement Learning for Coding Models

Scaling Data Difficulty: Improving Coding Models via Reinforcement Learning on Fresh and Challenging Problems

Physical Network Coding in Two-Way Wireless Relay Channels

Reflection with Action-Induced Visual Differences for Desktop GUI Agents

FineRMoE: Dimension Expansion for Finer-Grained Expert with Its Upcycling Approach

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path

What Makes Training Multi-Modal Classification Networks Hard?

Sub-Image Anomaly Detection with Deep Pyramid Correspondences

ConFu: Contemplate the Future for Better Speculative Sampling

Qwen2-Audio Technical Report

DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model

Design-to-Plan: A Large Language Model-Based Multi-Agent Framework for Manufacturing Process Planning from 3D CAD Models and 2D Engineering Drawings

Improving Federated Learning Personalization via Model Agnostic Meta Learning

Semi-Supervised Deep Learning for Monocular Depth Map Prediction

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis

Detecting Intrinsic and Instrumental Self-Preservation in Autonomous Agents: The Unified Continuation-Interest Protocol

Truth as a Compression Artifact in Language Model Training

Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge

Network Representation Learning: A Survey

Do You See What I Am Pointing At? Gesture-Based Egocentric Video Question Answering

MM-CondChain: A Programmatically Verified Benchmark for Visually Grounded Deep Compositional Reasoning

Parameter Space Noise for Exploration

Sparse Multi-Stage Expert-Agent Routing for Complex Clinical Reasoning

abc: an R package for Approximate Bayesian Computation (ABC)

MHPO: Modulated Hazard-aware Policy Optimization for Stable Reinforcement Learning

Key Recovery from Residue-Confined Errors in Pradhan CRT-RLWE

Measuring Primitive Accumulation: An Information-Theoretic Approach to Capitalist Enclosure in PIK2, Indonesia

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

The Non-IID Data Quagmire of Decentralized Machine Learning

Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

Taking Shortcuts for Categorical VQA Using Super Neurons

Semantic Slots for Video Object-Centric Learning

COT-FM: Cluster-wise Optimal Transport Flow Matching

Strip Pooling: Rethinking Spatial Pooling for Scene Parsing

COMIC: Agentic Sketch Comedy Generation

Generalisation in humans and deep neural networks

ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evaluation

Neural Network Field Theory at Finite Width

Med3D: Transfer Learning for 3D Medical Image Analysis