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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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65,341 to 65,400 of 104,313

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
Towards Explainable Deep Neural Networks (xDNN)
Plamen Angelov, Eduardo Soares
cs.LGcs.AIcs.CVarXiv:1912.02523v12019
Sparse Stochastic Inference for Latent Dirichlet allocation
David Mimno, Matt Hoffman, David Blei
cs.LGstat.MLarXiv:1206.6425v12012
Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks
Young-Jun Lee, Seungone Kim, Minki Kang +5
cs.CLcs.LGarXiv:2606.29082v12026
A Survey of Malware Detection Using Deep Learning
Ahmed Bensaoud, Jugal Kalita, Mahmoud Bensaoud
cs.CRcs.LGarXiv:2407.19153v12024
Robust self-testing of many-qubit states
Anand Natarajan, Thomas Vidick
quant-phcs.CCarXiv:1610.03574v12016
Prediction of Sea Surface Temperature using Long Short-Term Memory
Qin Zhang, Hui Wang, Junyu Dong +2
cs.CVarXiv:1705.06861v12017
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification
Yunpeng Zhai, Shijian Lu, Qixiang Ye +4
cs.CVarXiv:2004.08787v22020
LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation
Bo Miao, Weijia Liu, Jun Luo +8
cs.CVcs.ROarXiv:2602.02220v22026
Computational KJ-Ho: An Analyst-Bias-Free Insight Extraction Framework from Large-Scale Qualitative Data Using Domain-Specialized LLMs
Kasumi Ban
cs.HCcs.CLcs.CYarXiv:2608.16467v12026
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
Clément Christophe, Praveen K Kanithi, Prateek Munjal +13
cs.CLarXiv:2404.14779v12024
Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification
Gerard Maggiolino, Adnan Ahmad, Jinkun Cao +1
cs.CVarXiv:2302.11813v12023
A Dataset for Answering Time-Sensitive Questions
Wenhu Chen, Xinyi Wang, William Yang Wang
cs.CLcs.AIarXiv:2108.06314v52021
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing, Yichen Shen, Tena Dubček +5
cs.LGcs.NEstat.MLarXiv:1612.05231v32016
Analysis of a Random Forests Model
Gérard Biau
stat.MLmath.STarXiv:1005.0208v32010
EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments
Deyao Zhu, Xin Zhou, Shengling Qin +44
cs.CLcs.LGarXiv:2607.05155v12026
Enhancing Object Detection with Privileged Information: A Model-Agnostic Teacher-Student Approach
Matthias Bartolo, Dylan Seychell, Gabriel Hili +4
cs.CVcs.AIcs.ETarXiv:2601.02016v12026
RBMatch: Dual-Level Class Rebalancing for Semi-Supervised Building Footprint Extraction
Akil Ahmad Taki, Shaikh Anowarul Fattah
cs.CVarXiv:2610.07698v12026
Hypergraph Convolution and Hypergraph Attention
Song Bai, Feihu Zhang, Philip H. S. Torr
cs.LGcs.CVstat.MLarXiv:1901.08150v22019
Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li, Siyuan Bian, Ailing Zeng +4
cs.CVcs.LGarXiv:2107.11291v32021
Deep K-SVD Denoising
Meyer Scetbon, Michael Elad, Peyman Milanfar
cs.LGstat.MLarXiv:1909.13164v22019
Better speech synthesis through scaling
James Betker
cs.SDcs.CLeess.ASarXiv:2305.07243v22023
Hyperbolic Sphericity
Thomas Bläsius, Lennart Großkreutz, Jean-Pierre von der Heydt
cs.CGarXiv:2610.01336v12026
word2vec Parameter Learning Explained
Xin Rong
cs.CLarXiv:1411.2738v42014
Treelets--An adaptive multi-scale basis for sparse unordered data
Ann B. Lee, Boaz Nadler, Larry Wasserman
stat.MEarXiv:0707.0481v32007
SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting
Binbin Zheng, Xing Ma, Yiheng Liang +6
cs.LGcs.AIcs.CLarXiv:2604.10688v22026
Source-independent quantum random number generation
Zhu Cao, Hongyi Zhou, Xiao Yuan +1
quant-pharXiv:1508.04880v22015
Lower Bounds for Non-Convex Stochastic Optimization
Yossi Arjevani, Yair Carmon, John C. Duchi +3
math.OCcs.ITcs.LGarXiv:1912.02365v22019
Differentially Private Release and Learning of Threshold Functions
Mark Bun, Kobbi Nissim, Uri Stemmer +1
cs.CRcs.LGarXiv:1504.07553v22015
Emotion Understanding in Streaming Video with Trajectory-Aware Reliability
Qingsong Wang, Qigong Lei, Zitong Wang +6
cs.MMarXiv:2608.26786v12026
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence
Shuailei Ma, Jiaqi Liao, Xinyang Wang +24
cs.CVarXiv:2607.07675v12026
Optimal Layout Synthesis for Quantum Computing
Bochen Tan, Jason Cong
cs.ARquant-pharXiv:2007.15671v12020
Reevaluating Adversarial Examples in Natural Language
John X. Morris, Eli Lifland, Jack Lanchantin +2
cs.CLcs.AIcs.CRarXiv:2004.14174v32020
El Agente: An Autonomous Agent for Quantum Chemistry
Yunheng Zou, Austin H. Cheng, Abdulrahman Aldossary +13
cs.AIcs.LGcs.MAarXiv:2505.02484v22025

Every paper with a summary

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

Towards Explainable Deep Neural Networks (xDNN)

Sparse Stochastic Inference for Latent Dirichlet allocation

Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks

A Survey of Malware Detection Using Deep Learning

Robust self-testing of many-qubit states

Prediction of Sea Surface Temperature using Long Short-Term Memory

AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification

LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation

Computational KJ-Ho: An Analyst-Bias-Free Insight Extraction Framework from Large-Scale Qualitative Data Using Domain-Specialized LLMs

Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches

Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification

A Dataset for Answering Time-Sensitive Questions

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

Analysis of a Random Forests Model

EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments

Enhancing Object Detection with Privileged Information: A Model-Agnostic Teacher-Student Approach

RBMatch: Dual-Level Class Rebalancing for Semi-Supervised Building Footprint Extraction

Hypergraph Convolution and Hypergraph Attention

Human Pose Regression with Residual Log-likelihood Estimation

Deep K-SVD Denoising

Better speech synthesis through scaling

Hyperbolic Sphericity

word2vec Parameter Learning Explained

Treelets--An adaptive multi-scale basis for sparse unordered data

SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting

Source-independent quantum random number generation

Lower Bounds for Non-Convex Stochastic Optimization

Differentially Private Release and Learning of Threshold Functions

Emotion Understanding in Streaming Video with Trajectory-Aware Reliability

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence

Optimal Layout Synthesis for Quantum Computing

Reevaluating Adversarial Examples in Natural Language

El Agente: An Autonomous Agent for Quantum Chemistry