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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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65,221 to 65,280 of 104,226

Nanophotonic Computational Design
Jesse Lu, Jelena Vuckovic
physics.opticsarXiv:1303.5823v22013
WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models
Xinping Lei, Xinyu Che, Junqi Xiong +16
cs.SEcs.AIarXiv:2604.18224v12026
Sound Analysis for Speed Estimation of Induction Motors Under Non-Stationary Conditions
Tomas A. Garcia-Calva, Daniel Morinigo-Sotelo, Konstantinos N. Gyftakis
eess.SParXiv:2608.29214v12026
Transformer Accelerator (TFA): A Macro-Op INT8 Hardware Chip for Transformer Inference and Machine Translation
Shashank
cs.ARcs.CLcs.LGarXiv:2608.23582v12026
Ring Forcing: Towards Precise Long-Term Memory for Autoregressive Video Diffusion
Bowen Xue, Brandon Y. Feng, Chenguo Lin +6
cs.CVarXiv:2608.26794v12026
A proof that rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of semilinear heat equations
Martin Hutzenthaler, Arnulf Jentzen, Thomas Kruse +1
math.NAarXiv:1901.10854v22019
An $n^2\log\log n$ Lower Bound for Permanent Circuits with Valid Division
Jizhou Guo
cs.CCmath.AGarXiv:2609.29568v12026
IAS15: A fast, adaptive, high-order integrator for gravitational dynamics, accurate to machine precision over a billion orbits
Hanno Rein, David S. Spiegel
astro-ph.EPastro-ph.IMastro-ph.SRarXiv:1409.4779v22014
Domain Generalization with Domain-Specific Aggregation Modules
Antonio D'Innocente, Barbara Caputo
cs.CVarXiv:1809.10966v12018
A Passivity-Based Approach to Nash Equilibrium Seeking over Networks
Dian Gadjov, Lacra Pavel
math.OCarXiv:1705.02424v12017
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
Bichen Wu, Alvin Wan, Forrest Iandola +2
cs.CVarXiv:1612.01051v42016
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Seunghoon Hong, Tackgeun You, Suha Kwak +1
cs.CVarXiv:1502.06796v12015
Copying explains the collective behavior of AI agents in the wild
Giordano De Marzo, Nicola Alboré, David Garcia
cs.MAcond-mat.stat-mechcs.CLarXiv:2609.09150v22026
Parameterized Enumeration of Minimal Defensive Alliances
Henning Fernau, Kevin Mann, Arne Meier +1
cs.LOarXiv:2609.27984v12026
Fixed-Rank Representation for Unsupervised Visual Learning
Risheng Liu, Zhouchen Lin, Fernando De la Torre +1
cs.CVmath.NAarXiv:1203.2210v22012
Symplectic Recurrent Neural Networks
Zhengdao Chen, Jianyu Zhang, Martin Arjovsky +1
cs.LGstat.MLarXiv:1909.13334v22019
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification
Man Yao, Huanhuan Gao, Guangshe Zhao +4
cs.CVarXiv:2107.11711v12021
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Xingjian Li, Haoyi Xiong, Hanchao Wang +4
cs.LGstat.MLarXiv:1901.09229v42019
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han, Xingyu Liu, Huizi Mao +4
cs.CVcs.ARarXiv:1602.01528v22016
MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second
Chenguo Lin, Yuchen Lin, Panwang Pan +5
cs.CVarXiv:2507.10065v22025
abc: an R package for Approximate Bayesian Computation (ABC)
Katalin Csilléry, Olivier François, Michael GB Blum
q-bio.PEphysics.data-anstat.AParXiv:1106.2793v12011
Track4World: Feedforward World-centric Dense 3D Tracking of All Pixels
Jiahao Lu, Jiayi Xu, Wenbo Hu +5
cs.CVarXiv:2603.02573v22026
StepOPSD: Step-Aware Online Preference Self-Distillation for Agent Reinforcement Learning
Yanfei Zhang, Xu Lin, Chenglin Wu
cs.AIarXiv:2605.27140v22026
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Yangning Li, Weizhi Zhang, Yuyao Yang +17
cs.CLcs.AIarXiv:2507.09477v22025
Compact Bilinear Pooling
Yang Gao, Oscar Beijbom, Ning Zhang +1
cs.CVarXiv:1511.06062v22015
Optimal Exact-Regenerating Codes for Distributed Storage at the MSR and MBR Points via a Product-Matrix Construction
K. V. Rashmi, Nihar B. Shah, P. Vijay Kumar
cs.ITcs.DCcs.NIarXiv:1005.4178v22010
Detecting Harmful Memes and Their Targets
Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee +4
cs.CLcs.LGcs.MMarXiv:2110.00413v12021
Improved belief propagation is sufficient for real-time decoding of quantum memory
Tristan Müller, Thomas Alexander, Michael E. Beverland +4
quant-pharXiv:2506.01779v22025
A convergent Born series for solving the inhomogeneous Helmholtz equation in arbitrarily large media
Gerwin Osnabrugge, Saroch Leedumrongwatthanakun, Ivo M. Vellekoop
physics.comp-pharXiv:1601.05997v12016
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad +1
cs.CVcs.LGstat.MLarXiv:1901.09097v12019
A Sparse and Truncated State Vector Simulator for Peaked Circuits
Diogo R. Ferreira
quant-phcs.ETarXiv:2607.07816v12026
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yu Gu, Robert Tinn, Hao Cheng +6
cs.CLcs.LGarXiv:2007.15779v62020
BVB: Benchmarking Agentic Video Understanding via Programmatic Reconstruction in Blender
Yolo Y. Tang, Daiki Shimada, Jiayue Meng +14
cs.CVarXiv:2609.15478v12026
Autonomous thermodynamic cycles via robotic mobility and sensing
Sofia Kuperman, Ezra Ben-Abu, Yaron Veksler +3
cond-mat.softcs.CEcs.ROarXiv:2610.11667v12026
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
Zhiwei Liu, Yongjun Chen, Jia Li +3
cs.IRcs.AIarXiv:2108.06479v12021
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann, Naman Deep Singh, Francesco Croce +1
cs.LGcs.AIcs.CVarXiv:2402.12336v22024
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson +1
cs.SDcs.AIcs.LGarXiv:1502.04149v42015
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
Daocheng Fu, Xin Li, Licheng Wen +4
cs.ROcs.CLarXiv:2307.07162v12023
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
Diji Yang, Linda Zeng, Jinmeng Rao +1
cs.AIcs.CLcs.IRarXiv:2505.02811v22025
Parallel Integration over Simple Radical Extensions
Sam Blake
cs.SCarXiv:2608.29482v22026
Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders
Zhongzhi Li, Xuansheng Wu, Yijiang Li +2
cs.CLcs.AIarXiv:2602.10388v42026
Deep-learning Top Taggers or The End of QCD?
Gregor Kasieczka, Tilman Plehn, Michael Russell +1
hep-pharXiv:1701.08784v22017
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li, Ming Ding +6
cs.LGcs.NIarXiv:1911.00222v22019
TDDN: Text-aligned Diffused DINO Network for Puzzle Understanding
Harsha Patnala, Debopriyo Banerjee, Ayush Sunil Munot +1
cs.CVcs.AIarXiv:2609.07937v12026
PoseFix: Model-agnostic General Human Pose Refinement Network
Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee
cs.CVarXiv:1812.03595v32018
SecureBoost: A Lossless Federated Learning Framework
Kewei Cheng, Tao Fan, Yilun Jin +4
cs.LGstat.MLarXiv:1901.08755v32019
PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents
Bihui Yu, Xinglong Xu, Junjie Jiang +6
cs.AIcs.SEarXiv:2605.10341v12026
Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network
Juntao Gao, Yulong Shen, Jia Liu +2
cs.NIarXiv:1705.02755v12017
ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
Fariza Rashid, Duc Van Le, Rahat Masood +3
cs.LGcs.AIarXiv:2609.37632v12026
MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation
Bo Li, Ningyuan Deng, Tianyu Dong +3
cs.CLarXiv:2604.16943v12026
Robust and interpretable blind image denoising via bias-free convolutional neural networks
Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli +1
eess.IVcs.CVcs.LGarXiv:1906.05478v32019
Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network
Martin Erdmann, Jonas Glombitza, Thorben Quast
physics.ins-dethep-exarXiv:1807.01954v22018
Foolbox: A Python toolbox to benchmark the robustness of machine learning models
Jonas Rauber, Wieland Brendel, Matthias Bethge
cs.LGcs.CRcs.CVarXiv:1707.04131v32017
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Harshit Joshi, José Cambronero, Sumit Gulwani +3
cs.SEcs.AIcs.PLarXiv:2208.11640v32022
Grasp Pose Detection in Point Clouds
Andreas ten Pas, Marcus Gualtieri, Kate Saenko +1
cs.ROarXiv:1706.09911v12017
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
Kaixuan Wei, Ying Fu, Hua Huang
cs.CVarXiv:2003.04547v12020
Masked Differential-linear Distinguishers and Quantum Approaches
Shobhit Pandey, Sarbani Sen, Debajyoti Bera +1
quant-phcs.CRarXiv:2608.24799v12026
SAREF-based Ontology for Distributed AI Workflows across the Edge-Fog-Cloud Continuum
Viorica Rozina Chifu, Tudor Cioara, Vasile Ofrim +4
cs.AIarXiv:2608.26160v12026
Fake News Detection on Social Media: A Data Mining Perspective
Kai Shu, Amy Sliva, Suhang Wang +2
cs.SIcs.AIarXiv:1708.01967v32017
A PCB Dataset for Defects Detection and Classification
Weibo Huang, Peng Wei
cs.CVarXiv:1901.08204v12019

Every paper with a summary

Nanophotonic Computational Design

WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models

Sound Analysis for Speed Estimation of Induction Motors Under Non-Stationary Conditions

Transformer Accelerator (TFA): A Macro-Op INT8 Hardware Chip for Transformer Inference and Machine Translation

Ring Forcing: Towards Precise Long-Term Memory for Autoregressive Video Diffusion

A proof that rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of semilinear heat equations

An $n^2\log\log n$ Lower Bound for Permanent Circuits with Valid Division

IAS15: A fast, adaptive, high-order integrator for gravitational dynamics, accurate to machine precision over a billion orbits

Domain Generalization with Domain-Specific Aggregation Modules

A Passivity-Based Approach to Nash Equilibrium Seeking over Networks

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network

Copying explains the collective behavior of AI agents in the wild

Parameterized Enumeration of Minimal Defensive Alliances

Fixed-Rank Representation for Unsupervised Visual Learning

Symplectic Recurrent Neural Networks

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks

EIE: Efficient Inference Engine on Compressed Deep Neural Network

MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second

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

Track4World: Feedforward World-centric Dense 3D Tracking of All Pixels

StepOPSD: Step-Aware Online Preference Self-Distillation for Agent Reinforcement Learning

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Compact Bilinear Pooling

Optimal Exact-Regenerating Codes for Distributed Storage at the MSR and MBR Points via a Product-Matrix Construction

Detecting Harmful Memes and Their Targets

Improved belief propagation is sufficient for real-time decoding of quantum memory

A convergent Born series for solving the inhomogeneous Helmholtz equation in arbitrarily large media

Driver Distraction Identification with an Ensemble of Convolutional Neural Networks

A Sparse and Truncated State Vector Simulator for Peaked Circuits

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

BVB: Benchmarking Agentic Video Understanding via Programmatic Reconstruction in Blender

Autonomous thermodynamic cycles via robotic mobility and sensing

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing

Parallel Integration over Simple Radical Extensions

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders

Deep-learning Top Taggers or The End of QCD?

Federated Learning with Differential Privacy: Algorithms and Performance Analysis

TDDN: Text-aligned Diffused DINO Network for Puzzle Understanding

PoseFix: Model-agnostic General Human Pose Refinement Network

SecureBoost: A Lossless Federated Learning Framework

PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents

Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network

ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation

Robust and interpretable blind image denoising via bias-free convolutional neural networks

Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network

Foolbox: A Python toolbox to benchmark the robustness of machine learning models

Repair Is Nearly Generation: Multilingual Program Repair with LLMs

Grasp Pose Detection in Point Clouds

3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

Masked Differential-linear Distinguishers and Quantum Approaches

SAREF-based Ontology for Distributed AI Workflows across the Edge-Fog-Cloud Continuum

Fake News Detection on Social Media: A Data Mining Perspective

A PCB Dataset for Defects Detection and Classification