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.

Search paper metadata (including unsummarized papers)

56,281 to 56,340 of 61,393

PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume +3
cs.CVcs.GRarXiv:1905.05172v32019
Flood Prediction Using Machine Learning Models: Literature Review
Amir Mosavi, Pinar Ozturk, Kwok-wing Chau
cs.LGstat.MLarXiv:1908.02781v12019
Lite3R: A Model-Agnostic Framework for Efficient Feed-Forward 3D Reconstruction
Haoyu Zhang, Zeyu Zhang, Zedong Zhou +2
cs.CVarXiv:2605.11354v12026
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations
Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan
cs.LGcs.CYstat.MLarXiv:1905.07697v22019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen, Yankai Lin, Wei Li +3
cs.LGcs.SIstat.MLarXiv:1909.03211v22019
TMAS: Scaling Test-Time Compute via Multi-Agent Synergy
George Wu, Nan Jing, Qing Yi +7
cs.AIarXiv:2605.10344v22026
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik, Monica Agrawal, Jure Leskovec
cs.LGq-bio.MNstat.MLarXiv:1802.00543v22018
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein
cs.CVcs.AIarXiv:1906.01618v22019
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz +5
cs.ROarXiv:1703.09312v32017
FocuSFT: Bilevel Optimization for Dilution-Aware Long-Context Fine-Tuning
Zehua Pei, Hui-Ling Zhen, Xianzhi Yu +3
cs.CLarXiv:2605.09932v12026
Scene Graph Generation by Iterative Message Passing
Danfei Xu, Yuke Zhu, Christopher B. Choy +1
cs.CVarXiv:1701.02426v22017
Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
Daniel Goldstein, Navneel Singhal, Eugene Cheah
cs.LGcs.AIcs.CLarXiv:2605.09877v52026
Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
Zheyu Zhang, Shuo Yang, Bardh Prenkaj +1
cs.LGcs.AIarXiv:2605.10315v12026
GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction
Ihor Stepanov, Oleksandr Lukashov, Mykhailo Shtopko +1
cs.CLcs.LGarXiv:2605.10108v12026
GAIN: Missing Data Imputation using Generative Adversarial Nets
Jinsung Yoon, James Jordon, Mihaela van der Schaar
cs.LGstat.MLarXiv:1806.02920v12018
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn
cs.CVarXiv:1803.08664v52018
WildRelight: A Real-World Benchmark and Physics-Guided Adaptation for Single-Image Relighting
Lezhong Wang, Mehmet Onurcan Kaya, Siavash Bigdeli +1
cs.CVcs.AIcs.GRarXiv:2605.11696v12026
Direct-coupling analysis of residue co-evolution captures native contacts across many protein families
Faruck Morcos, Andrea Pagnani, Bryan Lunt +7
q-bio.QMcond-mat.stat-mechq-bio.BMarXiv:1110.5223v22011
AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward
Runhui Huang, Jie Wu, Rui Yang +2
cs.CVcs.AIcs.LGarXiv:2605.12495v12026
An Empirical Study of Automating Agent Evaluation
Kang Zhou, Sangmin Woo, Haibo Ding +14
cs.CLarXiv:2605.11378v22026
Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics
Jishnu Sethumadhavan Nair, Patrice Bechard, Rishabh Maheshwary +14
cs.AIcs.CLcs.LGarXiv:2605.12178v12026
ShapeCodeBench: A Renewable Benchmark for Perception-to-Program Reconstruction of Synthetic Shape Scenes
Shivam Kumar
cs.CVarXiv:2605.11680v12026
CoQA: A Conversational Question Answering Challenge
Siva Reddy, Danqi Chen, Christopher D. Manning
cs.CLcs.AIcs.LGarXiv:1808.07042v22018
Harmonious Attention Network for Person Re-Identification
Wei Li, Xiatian Zhu, Shaogang Gong
cs.CVarXiv:1802.08122v12018
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
Valeriy Vyaltsev, Alsu Sagirova, Anton Andreychuk +5
cs.AIcs.LGcs.MAarXiv:2605.07637v22026
Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
Eilam Shapira, Moshe Tennenholtz, Roi Reichart
cs.LGcs.AIcs.CLarXiv:2605.12411v12026
End-to-end representation learning for Correlation Filter based tracking
Jack Valmadre, Luca Bertinetto, João F. Henriques +2
cs.CVcs.LGarXiv:1704.06036v12017
Sequence-Level Knowledge Distillation
Yoon Kim, Alexander M. Rush
cs.CLcs.LGcs.NEarXiv:1606.07947v42016
Over the Air Deep Learning Based Radio Signal Classification
Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy
cs.LGeess.SParXiv:1712.04578v12017
Deep clustering: Discriminative embeddings for segmentation and separation
John R. Hershey, Zhuo Chen, Jonathan Le Roux +1
cs.NEcs.LGstat.MLarXiv:1508.04306v12015
Semantic Foggy Scene Understanding with Synthetic Data
Christos Sakaridis, Dengxin Dai, Luc Van Gool
cs.CVarXiv:1708.07819v32017
Debiased Model-based Representations for Sample-efficient Continuous Control
Jiafei Lyu, Zichuan Lin, Scott Fujimoto +5
cs.LGcs.AIarXiv:2605.11711v12026
Exploring Generalization in Deep Learning
Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester +1
cs.LGarXiv:1706.08947v22017
EAZY: A Fast, Public Photometric Redshift Code
Gabriel B. Brammer, Pieter G. van Dokkum, Paolo Coppi
astro-pharXiv:0807.1533v12008
UniPath: Adaptive Coordination of Understanding and Generation for Unified Multimodal Reasoning
Hayes Bai, Yinyi Luo, Wenwen Wang +2
cs.MMarXiv:2605.11400v12026
Meta-Learning with Differentiable Convex Optimization
Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran +1
cs.CVcs.LGarXiv:1904.03758v22019
AST: Audio Spectrogram Transformer
Yuan Gong, Yu-An Chung, James Glass
cs.SDcs.AIarXiv:2104.01778v32021
Covering Human Action Space for Computer Use: Data Synthesis and Benchmark
Miaosen Zhang, Xiaohan Zhao, Zhihong Tan +14
cs.CVarXiv:2605.12501v12026
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou, Sachin Ravi +5
cs.LGcs.CVstat.MLarXiv:1803.00676v12018
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization
Xuanyu Zhu, Yan Bai, Yang Shi +4
cs.CVcs.AIarXiv:2605.10780v22026
The State and Fate of Linguistic Diversity and Inclusion in the NLP World
Pratik Joshi, Sebastin Santy, Amar Budhiraja +2
cs.CLarXiv:2004.09095v32020
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu +1
cs.CVarXiv:2102.10662v22021
Improved Knowledge Distillation via Teacher Assistant
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li +3
cs.LGcs.AIstat.MLarXiv:1902.03393v22019
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman +1
cs.CVarXiv:1609.03552v32016
WriteSAE: Sparse Autoencoders for Recurrent State
Jack Young
cs.LGcs.AIcs.CLarXiv:2605.12770v42026
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
Danfeng Hong, Zhu Han, Jing Yao +4
cs.CVcs.AIarXiv:2107.02988v22021
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang, Pingkun Yan, Yanbo Zhang +5
cs.CVarXiv:1708.00961v22017
Are Sixteen Heads Really Better than One?
Paul Michel, Omer Levy, Graham Neubig
cs.CLarXiv:1905.10650v32019
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan +3
cs.CVcs.LGarXiv:1904.05160v22019
StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, Siva Reddy
cs.CLcs.AIcs.CYarXiv:2004.09456v12020
Position: LLM Inference Should Be Evaluated as Energy-to-Token Production
Xiang Liu, Shimiao Yuan, Zhenheng Tang +5
cs.CEcs.DCarXiv:2605.11733v12026
Concept Bottleneck Models
Pang Wei Koh, Thao Nguyen, Yew Siang Tang +4
cs.LGstat.MLarXiv:2007.04612v32020
Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
Chien Van Nguyen, Chaitra Hegde, Van Cuong Pham +3
cs.LGcs.AIarXiv:2605.12825v22026
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White +6
cs.CYarXiv:2001.00973v12020
The DAWN of World-Action Interactive Models
Hongbo Lu, Liang Yao, Chenghao He +6
cs.CVarXiv:2605.11550v12026
Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li, Shengyuan Hu, Ahmad Beirami +1
cs.LGstat.MLarXiv:2012.04221v32020
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao
cs.CVcs.LGarXiv:2011.08036v22020
Efficient Object Localization Using Convolutional Networks
Jonathan Tompson, Ross Goroshin, Arjun Jain +2
cs.CVarXiv:1411.4280v32014
BloombergGPT: A Large Language Model for Finance
Shijie Wu, Ozan Irsoy, Steven Lu +6
cs.LGcs.AIcs.CLarXiv:2303.17564v32023
DocAtlas: Multilingual Document Understanding Across 80+ Languages
Ahmed Heakl, Youssef Mohamed, Abdullah Sohail +6
cs.CLcs.CVcs.LGarXiv:2605.12623v22026

Every paper with a summary

PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization

Flood Prediction Using Machine Learning Models: Literature Review

Lite3R: A Model-Agnostic Framework for Efficient Feed-Forward 3D Reconstruction

Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations

Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

TMAS: Scaling Test-Time Compute via Multi-Agent Synergy

Modeling polypharmacy side effects with graph convolutional networks

Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

FocuSFT: Bilevel Optimization for Dilution-Aware Long-Context Fine-Tuning

Scene Graph Generation by Iterative Message Passing

Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory

Active Tabular Augmentation via Policy-Guided Diffusion Inpainting

GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction

GAIN: Missing Data Imputation using Generative Adversarial Nets

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network

WildRelight: A Real-World Benchmark and Physics-Guided Adaptation for Single-Image Relighting

Direct-coupling analysis of residue co-evolution captures native contacts across many protein families

AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward

An Empirical Study of Automating Agent Evaluation

Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics

ShapeCodeBench: A Renewable Benchmark for Perception-to-Program Reconstruction of Synthetic Shape Scenes

CoQA: A Conversational Question Answering Challenge

Harmonious Attention Network for Person Re-Identification

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding

Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling

End-to-end representation learning for Correlation Filter based tracking

Sequence-Level Knowledge Distillation

Over the Air Deep Learning Based Radio Signal Classification

Deep clustering: Discriminative embeddings for segmentation and separation

Semantic Foggy Scene Understanding with Synthetic Data

Debiased Model-based Representations for Sample-efficient Continuous Control

Exploring Generalization in Deep Learning

EAZY: A Fast, Public Photometric Redshift Code

UniPath: Adaptive Coordination of Understanding and Generation for Unified Multimodal Reasoning

Meta-Learning with Differentiable Convex Optimization

AST: Audio Spectrogram Transformer

Covering Human Action Space for Computer Use: Data Synthesis and Benchmark

Meta-Learning for Semi-Supervised Few-Shot Classification

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization

The State and Fate of Linguistic Diversity and Inclusion in the NLP World

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

Improved Knowledge Distillation via Teacher Assistant

Generative Visual Manipulation on the Natural Image Manifold

WriteSAE: Sparse Autoencoders for Recurrent State

SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

Are Sixteen Heads Really Better than One?

Large-Scale Long-Tailed Recognition in an Open World

StereoSet: Measuring stereotypical bias in pretrained language models

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production

Concept Bottleneck Models

Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion

Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing

The DAWN of World-Action Interactive Models

Ditto: Fair and Robust Federated Learning Through Personalization

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Efficient Object Localization Using Convolutional Networks

BloombergGPT: A Large Language Model for Finance

DocAtlas: Multilingual Document Understanding Across 80+ Languages