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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57,901 to 57,960 of 116,399

TRAK: Attributing Model Behavior at Scale
Sung Min Park, Kristian Georgiev, Andrew Ilyas +2
stat.MLcs.LGarXiv:2303.14186v22023
Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network
Niklas Christoffer Petersen, Filipe Rodrigues, Francisco Camara Pereira
stat.MLcs.LGarXiv:1903.02791v12019
SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes
Marc Assens, Kevin McGuinness, Xavier Giro-i-Nieto +1
cs.CVcs.MMarXiv:1707.03123v52017
Measuring memorization in language models via probabilistic extraction
Jamie Hayes, Marika Swanberg, Harsh Chaudhari +6
cs.LGarXiv:2410.19482v32024
Fully Convolutional Scene Graph Generation
Hengyue Liu, Ning Yan, Masood S. Mortazavi +1
cs.CVarXiv:2103.16083v12021
Gaussian Process Regression Networks
Andrew Gordon Wilson, David A. Knowles, Zoubin Ghahramani
stat.MLq-fin.STstat.MEarXiv:1110.4411v12011
Recommender Systems
Linyuan Lü, Matus Medo, Chi Ho Yeung +3
physics.soc-phcond-mat.stat-mechcs.IRarXiv:1202.1112v12012
SQUARE: Semantic Query-Augmented Fusion and Efficient Batch Reranking for Training-free Zero-Shot Composed Image Retrieval
Ren-Di Wu, Yu-Yen Lin, Huei-Fang Yang
cs.CVcs.IRarXiv:2509.26330v12025
When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm
Chuan Ma, Jun Li, Ming Ding +4
cs.NIarXiv:2009.09338v22020
On the Brittleness of Maximum Likelihood Estimation for Gaussian Process Hyperparameter Optimization
Tyler R. Johnson, Kian Ben-Jacob, Christopher P. Muller +1
stat.MLcs.LGstat.MEarXiv:2608.13793v12026
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
eess.IVcs.LGstat.MLarXiv:1904.02816v32019
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services
Hongsheng Hu, Shuo Wang, Jiamin Chang +5
cs.CRarXiv:2309.08230v22023
CauScale: Neural Causal Discovery at Scale
Bo Peng, Sirui Chen, Jiaguo Tian +2
cs.LGcs.AIstat.MLarXiv:2602.08629v22026
Artificial-Noise-Aided Secure Transmission with Directional Modulation based on Random Frequency Diverse Arrays
Jinsong Hu, Shihao Yan, Feng Shu +3
cs.ITarXiv:1612.06649v12016
UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection
Yanran Zhang, Wenzhao Zheng, Yifei Li +5
cs.CVarXiv:2604.21904v12026
SUP-MIMIC: A Multi-Task Clinical Diagnosis Benchmark for Evaluating LLMs' Robustness to Contradictory Evidence
Yi Yu, Bo Wang, Chong Feng +4
cs.CLcs.AIarXiv:2608.29582v12026
Neural Fourier Surrogates for Data Reuploading Quantum Neural Networks
Oliver Knitter, Jonathan Mei, Sang Hyub Kim +3
quant-phcs.LGarXiv:2610.00841v12026
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals
Gaole He, Yunshi Lan, Jing Jiang +2
cs.CLcs.AIarXiv:2101.03737v22021
Improved Local Leakage Resilience of Shamir Secret Sharing and Worst-Case Optimal Polynomial Intersection
Yihang Sun, Mary Wootters
quant-phcs.CRcs.DMarXiv:2610.12357v12026
Face Recognition: Too Bias, or Not Too Bias?
Joseph P Robinson, Gennady Livitz, Yann Henon +3
cs.CVarXiv:2002.06483v42020
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation
Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh +1
cs.CVcs.LGarXiv:2203.09516v32022
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring
Zhihao Yuan, Xu Yan, Yinghong Liao +4
cs.CVarXiv:2103.01128v22021
Convolutional Neural Networks at Constrained Time Cost
Kaiming He, Jian Sun
cs.CVarXiv:1412.1710v12014
Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration
Zhipeng Chen, Tao Qian, Wayne Xin Zhao +1
cs.LGcs.AIcs.CLarXiv:2604.11446v12026
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis
Thomas George, César Laurent, Xavier Bouthillier +2
cs.LGstat.MLarXiv:1806.03884v22018
Dreamix: Video Diffusion Models are General Video Editors
Eyal Molad, Eliahu Horwitz, Dani Valevski +5
cs.CVarXiv:2302.01329v12023
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen +5
cs.LGcs.AIcs.NEarXiv:2003.00688v52020
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
Wei-Bang Jiang, Yansen Wang, Bao-Liang Lu +1
eess.SPcs.HCcs.LGarXiv:2409.00101v32024
Language Models Model Language
Łukasz Borchmann
cs.CLarXiv:2510.12766v12025
Accelerated High-Resolution Photoacoustic Tomography via Compressed Sensing
Simon Arridge, Paul Beard, Marta Betcke +5
math.NAphysics.med-pharXiv:1605.00133v32016
AdaVDR: Adaptive Tool Use and Reflection for Video Deep Research
Xintong Zhang, Xiaomeng Fan, Shilin Yan +7
cs.CVcs.AIarXiv:2608.25559v12026
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer
cs.LGcs.AIarXiv:1807.08364v32018
Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction
Mingzhe Du, Luu Anh Tuan, Tianyi Wu +4
cs.AIarXiv:2607.01764v12026
A Heterogeneous General Model for Neuromorphic-Inspired Computation
Matteo Mirigliano
cond-mat.dis-nncs.NEarXiv:2609.05482v12026
FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network
Jing Zhang, Dacheng Tao
cs.CVcs.LGarXiv:1906.04334v22019
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
Vikas Yadav, Steven Bethard
cs.CLcs.LGarXiv:1910.11470v12019
Classification-Reconstruction Learning for Open-Set Recognition
Ryota Yoshihashi, Wen Shao, Rei Kawakami +3
cs.CVarXiv:1812.04246v32018
Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-exposure Monocular Videos
Jinfeng Liu, Lingtong Kong, Mi Zhou +2
cs.CVarXiv:2510.18489v22025
Correlation between centrality metrics and their application to the opinion model
Cong Li, Qian Li, Piet Van Mieghem +2
physics.soc-phcs.SIarXiv:1409.6033v12014
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion
Hanqi Zhu, Jiajun Deng, Yu Zhang +4
cs.CVarXiv:2111.14382v22021
Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain
Katherine Lee, A. Feder Cooper, James Grimmelmann
cs.CYarXiv:2309.08133v22023
Cross-modal Memory Networks for Radiology Report Generation
Zhihong Chen, Yaling Shen, Yan Song +1
cs.CLarXiv:2204.13258v12022
PlenOctrees for Real-time Rendering of Neural Radiance Fields
Alex Yu, Ruilong Li, Matthew Tancik +3
cs.CVcs.GRarXiv:2103.14024v22021
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
Vahid Mirjalili, Sebastian Raschka, Arun Ross
cs.CVcs.CRcs.LGarXiv:2001.00561v32020
AdaSpeech: Adaptive Text to Speech for Custom Voice
Mingjian Chen, Xu Tan, Bohan Li +4
eess.AScs.AIcs.CLarXiv:2103.00993v12021
Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering
Yunhui Liu, Pengyu Qiu, Yu Xing +6
cs.LGarXiv:2602.08519v12026
UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
Huaishao Luo, Lei Ji, Botian Shi +6
cs.CVcs.CLcs.LGarXiv:2002.06353v32020
Contrastive Chain-of-Thought Prompting
Yew Ken Chia, Guizhen Chen, Luu Anh Tuan +2
cs.CLarXiv:2311.09277v12023
No Task Fails Every Time: Why One-Shot Audits Are Structurally Blind to Agent Damage
Shiven Khurdi
cs.LGcs.AIarXiv:2608.15286v12026
Chaining Mutual Information and Tightening Generalization Bounds
Amir R. Asadi, Emmanuel Abbe, Sergio Verdú
cs.LGcs.ITmath.ITarXiv:1806.03803v22018
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov, Denis Yarats, Rob Fergus
cs.LGcs.CVeess.IVarXiv:2004.13649v42020
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters
Firoj Alam, Ferda Ofli, Muhammad Imran
cs.SIcs.CYarXiv:1805.00713v12018
Probabilistic Face Embeddings
Yichun Shi, Anil K. Jain
cs.CVarXiv:1904.09658v42019
Data-Driven Shape Analysis and Processing
Kai Xu, Vladimir G. Kim, Qixing Huang +1
cs.GRarXiv:1502.06686v12015
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning
Hanyang Chen, Mark Zhao, Rui Yang +15
cs.AIarXiv:2510.12693v12025
CutClean: Neural Network Pruning for Privacy-Preserving Inference
Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise +1
cs.LGcs.AIarXiv:2608.13773v12026
Open-Vocabulary Universal Image Segmentation with MaskCLIP
Zheng Ding, Jieke Wang, Zhuowen Tu
cs.CVarXiv:2208.08984v22022
Teach Multimodal LLMs to Comprehend Electrocardiographic Images
Ruoqi Liu, Yuelin Bai, Xiang Yue +1
eess.IVcs.AIcs.CVarXiv:2410.19008v12024
Sentence Embedding Alignment for Lifelong Relation Extraction
Hong Wang, Wenhan Xiong, Mo Yu +3
cs.CLarXiv:1903.02588v32019
Controlled Caption Generation for Images Through Adversarial Attacks
Nayyer Aafaq, Naveed Akhtar, Wei Liu +2
cs.CVcs.LGarXiv:2107.03050v12021

Every paper with a summary

TRAK: Attributing Model Behavior at Scale

Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network

SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes

Measuring memorization in language models via probabilistic extraction

Fully Convolutional Scene Graph Generation

Gaussian Process Regression Networks

Recommender Systems

SQUARE: Semantic Query-Augmented Fusion and Efficient Batch Reranking for Training-free Zero-Shot Composed Image Retrieval

When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm

On the Brittleness of Maximum Likelihood Estimation for Gaussian Process Hyperparameter Optimization

Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning

A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services

CauScale: Neural Causal Discovery at Scale

Artificial-Noise-Aided Secure Transmission with Directional Modulation based on Random Frequency Diverse Arrays

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection

SUP-MIMIC: A Multi-Task Clinical Diagnosis Benchmark for Evaluating LLMs' Robustness to Contradictory Evidence

Neural Fourier Surrogates for Data Reuploading Quantum Neural Networks

Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals

Improved Local Leakage Resilience of Shamir Secret Sharing and Worst-Case Optimal Polynomial Intersection

Face Recognition: Too Bias, or Not Too Bias?

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation

InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring

Convolutional Neural Networks at Constrained Time Cost

Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Dreamix: Video Diffusion Models are General Video Editors

Out-of-Distribution Generalization via Risk Extrapolation (REx)

NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Language Models Model Language

Accelerated High-Resolution Photoacoustic Tomography via Compressed Sensing

AdaVDR: Adaptive Tool Use and Reflection for Video Deep Research

EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning

Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction

A Heterogeneous General Model for Neuromorphic-Inspired Computation

FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

Classification-Reconstruction Learning for Open-Set Recognition

Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-exposure Monocular Videos

Correlation between centrality metrics and their application to the opinion model

VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion

Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain

Cross-modal Memory Networks for Radiology Report Generation

PlenOctrees for Real-time Rendering of Neural Radiance Fields

PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy

AdaSpeech: Adaptive Text to Speech for Custom Voice

Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering

UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation

Contrastive Chain-of-Thought Prompting

No Task Fails Every Time: Why One-Shot Audits Are Structurally Blind to Agent Damage

Chaining Mutual Information and Tightening Generalization Bounds

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

CrisisMMD: Multimodal Twitter Datasets from Natural Disasters

Probabilistic Face Embeddings

Data-Driven Shape Analysis and Processing

ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning

CutClean: Neural Network Pruning for Privacy-Preserving Inference

Open-Vocabulary Universal Image Segmentation with MaskCLIP

Teach Multimodal LLMs to Comprehend Electrocardiographic Images

Sentence Embedding Alignment for Lifelong Relation Extraction

Controlled Caption Generation for Images Through Adversarial Attacks