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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56,521 to 56,580 of 61,351

Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg, Andrea Vedaldi, Andrew Zisserman
cs.CVarXiv:1405.3866v12014
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel, Jonas Rauber, Matthias Bethge
stat.MLcs.CRcs.CVarXiv:1712.04248v22017
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi +5
cs.LGcs.CLcs.PLarXiv:2203.13474v52022
iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments
Harshit Gupta, Amir Vahid Dastjerdi, Soumya K. Ghosh +1
cs.DCarXiv:1606.02007v12016
Learning to See in the Dark
Chen Chen, Qifeng Chen, Jia Xu +1
cs.CVcs.GRcs.LGarXiv:1805.01934v12018
Minimalist Visual Inertial Odometry
Francesco Pasti, Jeremy Klotz, Nicola Bellotto +1
cs.ROcs.CVcs.LGarXiv:2605.19990v12026
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw +4
cs.CVcs.LGarXiv:1905.09272v32019
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt +3
cs.LGcs.MAstat.MLarXiv:2003.08839v22020
Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry
Pablo Marcos-Manchón, Rishi Jha, Lluís Fuentemilla
q-bio.NCcs.CVarXiv:2605.20496v12026
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi, Mohammad Taha Bahadori, Joshua A. Kulas +3
cs.LGcs.AIcs.NEarXiv:1608.05745v42016
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan, Kui Jia, Shenghua Gao +3
cs.CVcs.LGcs.NEarXiv:1404.3606v22014
Perceiver: General Perception with Iterative Attention
Andrew Jaegle, Felix Gimeno, Andrew Brock +3
cs.CVcs.AIcs.LGarXiv:2103.03206v22021
Cross-stitch Networks for Multi-task Learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta +1
cs.CVcs.LGarXiv:1604.03539v12016
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang, Bin Fu, Gang Fu +1
cs.LGstat.MLarXiv:1708.05123v12017
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren +19
cs.SEcs.CLarXiv:2102.04664v22021
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Aldo Pareja, Giacomo Domeniconi, Jie Chen +6
cs.LGcs.SIstat.MLarXiv:1902.10191v32019
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia, Razvan Pascanu, Matthew Lai +2
cs.AIcs.LGarXiv:1612.00222v12016
Rényi Divergence and Kullback-Leibler Divergence
Tim van Erven, Peter Harremoës
cs.ITmath.STstat.MLarXiv:1206.2459v22012
IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools
Rongbin Tan, Fangfang Lin, Zhenlong Yuan +10
cs.CVarXiv:2605.20682v12026
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu +6
cs.CLcs.AIcs.LGarXiv:2305.14251v22023
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua, Roberto Calandra, Rowan McAllister +1
cs.LGcs.AIcs.ROarXiv:1805.12114v22018
ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu +3
cs.CLarXiv:1905.07129v32019
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
cs.NEcs.CVcs.LGarXiv:1709.01686v12017
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries
Mahdi Azhdari, Eric J. Gonzales
cs.CLarXiv:2605.21712v12026
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita, David Talbot, Fedor Moiseev +2
cs.CLarXiv:1905.09418v22019
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
cs.CVcs.GRcs.LGarXiv:1609.02612v32016
RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator
Zhenwei Tang, Zhaoyan Liu, Rasa Hosseinzadeh +3
cs.CLarXiv:2605.21748v12026
What Makes for Good Views for Contrastive Learning?
Yonglong Tian, Chen Sun, Ben Poole +3
cs.CVcs.LGarXiv:2005.10243v32020
Reflective Prompt Tuning through Language Model Function-Calling
Farima Fatahi Bayat, Moin Aminnaseri, Pouya Pezeshkpour +1
cs.CLarXiv:2605.21781v12026
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenović, Giorgos Tolias, Ondřej Chum
cs.CVarXiv:1711.02512v22017
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen, Wen Li, Christos Sakaridis +2
cs.CVarXiv:1803.03243v12018
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk, Abir Das, Kate Saenko
cs.CVarXiv:1806.07421v32018
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, Chaofan Tao +3
cs.LGcs.AIcs.CVarXiv:1806.10574v52018
How Far Will They Go? Red-Teaming Online Influence with Large Language Models
Daniel C. Ruiz, Anna Serbina, Ashwin Rao +2
cs.CLcs.AIcs.CYarXiv:2605.22880v12026
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu, Zhengdong Lu, Hang Li +1
cs.CLcs.AIcs.LGarXiv:1603.06393v32016
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Yao Qin, Dongjin Song, Haifeng Chen +3
cs.LGstat.MLarXiv:1704.02971v42017
Joint 3D Proposal Generation and Object Detection from View Aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee +2
cs.CVarXiv:1712.02294v42017
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
Victor Zhong, Caiming Xiong, Richard Socher
cs.CLcs.AIarXiv:1709.00103v72017
MUSIQ: Multi-scale Image Quality Transformer
Junjie Ke, Qifei Wang, Yilin Wang +2
cs.CVarXiv:2108.05997v12021
MotiMotion: Motion-Controlled Video Generation with Visual Reasoning
Lee Hsin-Ying, Hanwen Jiang, Yiqun Mei +3
cs.CVarXiv:2605.22818v12026
The Structure and Dynamics of Co-Citation Clusters: A Multiple-Perspective Co-Citation Analysis
Chaomei Chen, Fidelia Ibekwe-SanJuan, Jianhua Hou
cs.CYarXiv:1002.1985v12010
DocVQA: A Dataset for VQA on Document Images
Minesh Mathew, Dimosthenis Karatzas, C. V. Jawahar
cs.CVcs.IRarXiv:2007.00398v32020
EMMA: Extracting Multiple physical parameters from Multimodal Data
Farhat Shaikh, Ayan Banerjee, Sandeep Gupta
cs.CVarXiv:2605.24047v12026
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff +3
cs.LGphysics.comp-phstat.MLarXiv:2002.09405v22020
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
Xu Ouyang, Deyi Liu, Yuhang Cai +5
cs.LGcs.AIcs.ITarXiv:2605.23901v12026
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation
Xiaolong Zhou, Yifei Liu, Ziyang Gong +8
cs.CVcs.CLarXiv:2605.22536v22026
DecQ: Detail-Condensing Queries for Enhanced Reconstruction and Generation in Representation Autoencoders
Tianhang Wang, Yitong Chen, Wei Song +3
cs.CVarXiv:2605.22777v12026
HunyuanVideo: A Systematic Framework For Large Video Generative Models
Weijie Kong, Qi Tian, Zijian Zhang +49
cs.CVarXiv:2412.03603v62024
Transformer Feed-Forward Layers Are Key-Value Memories
Mor Geva, Roei Schuster, Jonathan Berant +1
cs.CLarXiv:2012.14913v22020
Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly
Aditya Chetan, Eric Cai, Peeyush Kushwaha +5
cs.CVcs.AIcs.CLarXiv:2605.21625v12026
Signed Networks in Social Media
Jure Leskovec, Daniel Huttenlocher, Jon Kleinberg
physics.soc-phcs.CYcs.HCarXiv:1003.2424v12010
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
Chao Peng, Xiangyu Zhang, Gang Yu +2
cs.CVarXiv:1703.02719v12017
Scientific reasoning does not reliably translate into scientific forecasting in frontier AI
Sean Wu, Pan Lu, Yupeng Chen +7
cs.AIarXiv:2605.22681v22026
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui, Dong Huk Park, Daylen Yang +3
cs.CVcs.AIcs.CLarXiv:1606.01847v32016
ACC: Compiling Agent Trajectories for Long-Context Training
Qisheng Su, Zhen Fang, Shiting Huang +8
cs.CLcs.AIarXiv:2605.21850v22026
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu, Yandong Wen, Zhiding Yu +1
stat.MLcs.LGarXiv:1612.02295v42016
Perception or Prejudice: Can MLLMs Go Beyond First Impressions of Personality?
Caixin Kang, Tianyu Yan, Sitong Gong +8
cs.AIcs.CVcs.CYarXiv:2605.22109v12026
Can AI help in screening Viral and COVID-19 pneumonia?
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar +9
cs.LGcs.CVarXiv:2003.13145v32020
TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation
Hanyu Guo, Jiedong Yang, Chao Chen +3
cs.CLcs.AIcs.LGarXiv:2605.22355v12026
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang, Xuanqing Liu, Si Si +3
cs.LGcs.AIstat.MLarXiv:1905.07953v22019

Every paper with a summary

Speeding up Convolutional Neural Networks with Low Rank Expansions

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments

Learning to See in the Dark

Minimalist Visual Inertial Odometry

Data-Efficient Image Recognition with Contrastive Predictive Coding

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

PCANet: A Simple Deep Learning Baseline for Image Classification?

Perceiver: General Perception with Iterative Attention

Cross-stitch Networks for Multi-task Learning

Deep & Cross Network for Ad Click Predictions

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Interaction Networks for Learning about Objects, Relations and Physics

Rényi Divergence and Kullback-Leibler Divergence

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

ERNIE: Enhanced Language Representation with Informative Entities

BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Generating Videos with Scene Dynamics

RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator

What Makes for Good Views for Contrastive Learning?

Reflective Prompt Tuning through Language Model Function-Calling

Fine-tuning CNN Image Retrieval with No Human Annotation

Domain Adaptive Faster R-CNN for Object Detection in the Wild

RISE: Randomized Input Sampling for Explanation of Black-box Models

This Looks Like That: Deep Learning for Interpretable Image Recognition

How Far Will They Go? Red-Teaming Online Influence with Large Language Models

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Joint 3D Proposal Generation and Object Detection from View Aggregation

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

MUSIQ: Multi-scale Image Quality Transformer

MotiMotion: Motion-Controlled Video Generation with Visual Reasoning

The Structure and Dynamics of Co-Citation Clusters: A Multiple-Perspective Co-Citation Analysis

DocVQA: A Dataset for VQA on Document Images

EMMA: Extracting Multiple physical parameters from Multimodal Data

Learning to Simulate Complex Physics with Graph Networks

LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws

SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation

DecQ: Detail-Condensing Queries for Enhanced Reconstruction and Generation in Representation Autoencoders

HunyuanVideo: A Systematic Framework For Large Video Generative Models

Transformer Feed-Forward Layers Are Key-Value Memories

Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly

Signed Networks in Social Media

Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network

Scientific reasoning does not reliably translate into scientific forecasting in frontier AI

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

ACC: Compiling Agent Trajectories for Long-Context Training

Large-Margin Softmax Loss for Convolutional Neural Networks

Perception or Prejudice: Can MLLMs Go Beyond First Impressions of Personality?

Can AI help in screening Viral and COVID-19 pneumonia?

TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks