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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29,281 to 29,340 of 61,393

Interpretable statistical feature engineering for early disruption prediction in the short pulse ADITYA tokamak
Jyoti Agarwal, Kavit Patel, Bhaskar Chaudhury +3
physics.plasm-phcs.LGphysics.data-anarXiv:2608.22515v12026
Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations
Yutack Park, Jaesun Kim, Seungwoo Hwang +1
cond-mat.mtrl-sciarXiv:2402.03789v12024
Memory-augmented Dense Predictive Coding for Video Representation Learning
Tengda Han, Weidi Xie, Andrew Zisserman
cs.CVarXiv:2008.01065v12020
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
Mang Ye, Jianbing Shen, David J. Crandall +2
cs.CVarXiv:2007.09314v12020
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
Chenfeng Xu, Bichen Wu, Zining Wang +4
cs.CVarXiv:2004.01803v22020
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption
Susan Athey, Guido Imbens
econ.EMcs.LGmath.STarXiv:1808.05293v32018
Diverse Image-to-Image Translation via Disentangled Representations
Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang +2
cs.CVarXiv:1808.00948v12018
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time
Rudra P K Poudel, Ujwal Bonde, Stephan Liwicki +1
cs.CVarXiv:1805.04554v42018
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
Helge Rhodin, Mathieu Salzmann, Pascal Fua
cs.CVcs.AIarXiv:1804.01110v12018
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
T. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla +1
cs.CVcs.DCcs.NEarXiv:1609.04453v12016
Numerical approximations of stochastic differential equations with non-globally Lipschitz continuous coefficients
Martin Hutzenthaler, Arnulf Jentzen
math.PRmath.NAarXiv:1203.5809v22012
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models
Jianqing Fan, Yang Feng, Rui Song
stat.MEmath.STstat.COarXiv:0912.2695v22009
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
Richard D. Wilkinson
stat.COstat.MEarXiv:0811.3355v22008
Finite Sample Identification of Analytic Nonlinear Systems
Negin Musavi, Ziyao Guo, Geir E. Dullerud +1
eess.SYmath.OCarXiv:2608.29908v12026
Hierarchical Imitation and Reinforcement Learning
Hoang M. Le, Nan Jiang, Alekh Agarwal +3
cs.LGcs.AIstat.MLarXiv:1803.00590v22018
Camera trap classification with deep learning under ground truth uncertainty
Leonard Hockerts, Peter S. Stewart, Sarthak Arora +1
cs.CVarXiv:2608.30789v12026
Introduction to Random Matrices - Theory and Practice
Giacomo Livan, Marcel Novaes, Pierpaolo Vivo
math-phcond-mat.stat-mecharXiv:1712.07903v12017
Error Bounds for Uplink and Downlink 3D Localization in 5G mmWave Systems
Zohair Abu-Shaban, Xiangyun Zhou, Thushara Abhayapala +2
cs.ITarXiv:1704.03234v22017
Efficient and High-Quality Depth Estimation via Pixel-Space Diffusion with Linear Attention
Bingde Liu, Wu Ran, Jinglei Zhang +2
cs.CVarXiv:2608.30129v12026
Extensions to the Method of Multiplicities, with applications to Kakeya Sets and Mergers
Zeev Dvir, Swastik Kopparty, Shubhangi Saraf +1
math.COarXiv:0901.2529v22009
CapFrame: Text-Instructed Viewpoint Grounding in 3D Gaussian Scenes via Geometric Pseudo Labels
Jirong Li, Satoshi Ikehata, Shuhei Kurita +1
cs.CVarXiv:2608.30342v12026
Whole-Body MRI Classification via Prompt-Based Clinical Conditioning
Laura Daza, Marta Hasny, Cristina González +1
cs.CVarXiv:2608.30824v12026
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng Lyu +5
cs.CLcs.AIcs.LGarXiv:2306.05836v32023
Robust Multi-Modality Multi-Object Tracking
Wenwei Zhang, Hui Zhou, Shuyang Sun +3
cs.CVarXiv:1909.03850v12019
ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research
Xinyi Zhou, Apurva Mulay, Emilio Ferrara +1
cs.SIcs.IRarXiv:2006.05557v22020
Fortin operators for DPG advection discretizations
Pablo Cortés Castillo, Jay Gopalakrishnan
math.NAarXiv:2608.30043v12026
SkillZip Pro: Execution-Aware Dynamic Compression of Progressively Loaded Skills for Self-Evolving Agents
Xiaofan Bai, Chao Liu, Hongqiang Lin +5
cs.AIarXiv:2608.30785v12026
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
Zhiwu Qing, Haisheng Su, Weihao Gan +7
cs.CVarXiv:2103.13141v12021
Social Biases through the Text-to-Image Generation Lens
Ranjita Naik, Besmira Nushi
cs.CYcs.AIcs.CLarXiv:2304.06034v12023
Large Language Models for Test-Free Fault Localization
Aidan Z. H. Yang, Ruben Martins, Claire Le Goues +1
cs.SEcs.LGarXiv:2310.01726v12023
Simple Entity-Centric Questions Challenge Dense Retrievers
Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee +1
cs.CLcs.IRarXiv:2109.08535v32021
On the iterative decoding of sparse quantum codes
David Poulin, Yeojin Chung
quant-pharXiv:0801.1241v22008
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network
Ge-Peng Ji, Lei Zhu, Mingchen Zhuge +1
cs.CVarXiv:2111.03216v12021
Sequential Recommendation via Stochastic Self-Attention
Ziwei Fan, Zhiwei Liu, Alice Wang +4
cs.IRcs.AIcs.LGarXiv:2201.06035v22022
ReACC: A Retrieval-Augmented Code Completion Framework
Shuai Lu, Nan Duan, Hojae Han +3
cs.SEcs.AIcs.CLarXiv:2203.07722v12022
Modern Bayesian Experimental Design
Tom Rainforth, Adam Foster, Desi R Ivanova +1
stat.MLcs.AIcs.LGarXiv:2302.14545v22023
Stacked Deconvolutional Network for Semantic Segmentation
Jun Fu, Jing Liu, Yuhang Wang +1
cs.CVarXiv:1708.04943v12017
SlowFuzz: Automated Domain-Independent Detection of Algorithmic Complexity Vulnerabilities
Theofilos Petsios, Jason Zhao, Angelos D. Keromytis +1
cs.CRarXiv:1708.08437v12017
Image Super-Resolution as a Defense Against Adversarial Attacks
Aamir Mustafa, Salman H. Khan, Munawar Hayat +2
cs.CVarXiv:1901.01677v22019
SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision
Dain Kwon, Changmin Shin, Sunjong Park +5
cs.CVcs.AIarXiv:2608.30410v12026
0.5 Petabyte Simulation of a 45-Qubit Quantum Circuit
Thomas Häner, Damian S. Steiger
quant-phcs.DCcs.ETarXiv:1704.01127v22017
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
Mark Sendak, Madeleine Elish, Michael Gao +6
cs.CYcs.AIcs.HCarXiv:1911.08089v22019
Synchromesh: Reliable code generation from pre-trained language models
Gabriel Poesia, Oleksandr Polozov, Vu Le +4
cs.LGcs.PLarXiv:2201.11227v12022
Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks
Daniel Lévy, Arzav Jain
cs.CVcs.LGarXiv:1612.00542v12016
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
Tal Schuster, Ori Ram, Regina Barzilay +1
cs.CLcs.LGarXiv:1902.09492v22019
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
Zhexin Liang, Chongyi Li, Shangchen Zhou +2
cs.CVarXiv:2303.17569v22023
The Multithreaded version of FORM
M. Tentyukov, J. A. M. Vermaseren
hep-phcs.SCarXiv:hep-ph/0702279v12007
How To Train Your Deep Multi-Object Tracker
Yihong Xu, Aljosa Osep, Yutong Ban +3
cs.CVarXiv:1906.06618v32019
Regularized Matrix Regression
Hua Zhou, Lexin Li
stat.MEstat.COarXiv:1204.3331v12012
Synthesizing Training Data for Object Detection in Indoor Scenes
Georgios Georgakis, Arsalan Mousavian, Alexander C. Berg +1
cs.CVcs.ROarXiv:1702.07836v22017
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
Sebastian Guendel, Sasa Grbic, Bogdan Georgescu +4
cs.CVcs.AIarXiv:1803.04565v12018
Scalability Analysis of a LoRa Network under Imperfect Orthogonality
Aamir Mahmood, Emiliano Sisinni, Lakshmikanth Guntupalli +3
cs.ITarXiv:1808.01761v12018
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
cs.LGcs.CVcs.NEarXiv:1605.09332v42016
AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian, Zehao Yu, Xing Sun +1
cs.CVarXiv:2107.08391v22021
Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence Scores
Qiyao Yan, Chenpeng Wang, Liangming Pan
cs.AIarXiv:2608.31068v12026
The Multi-way Relay Channel
Deniz Gunduz, Aylin Yener, Andrea Goldsmith +1
cs.ITarXiv:1004.2434v22010
TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang, Jimeng Sun
cs.LGcs.AIarXiv:2205.09328v22022
HiggsTools: BSM scalar phenomenology with new versions of HiggsBounds and HiggsSignals
Henning Bahl, Thomas Biekötter, Sven Heinemeyer +4
hep-pharXiv:2210.09332v22022
Subspace Methods for Joint Sparse Recovery
Kiryung Lee, Yoram Bresler, Marius Junge
cs.ITarXiv:1004.3071v42010
Chargrid: Towards Understanding 2D Documents
Anoop Raveendra Katti, Christian Reisswig, Cordula Guder +4
cs.CLcs.CVcs.LGarXiv:1809.08799v12018

Every paper with a summary

Interpretable statistical feature engineering for early disruption prediction in the short pulse ADITYA tokamak

Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations

Memory-augmented Dense Predictive Coding for Video Representation Learning

Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification

SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation

Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption

Diverse Image-to-Image Translation via Disentangled Representations

ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation

A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning

Numerical approximations of stochastic differential equations with non-globally Lipschitz continuous coefficients

Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models

Approximate Bayesian computation (ABC) gives exact results under the assumption of model error

Finite Sample Identification of Analytic Nonlinear Systems

Hierarchical Imitation and Reinforcement Learning

Camera trap classification with deep learning under ground truth uncertainty

Introduction to Random Matrices - Theory and Practice

Error Bounds for Uplink and Downlink 3D Localization in 5G mmWave Systems

Efficient and High-Quality Depth Estimation via Pixel-Space Diffusion with Linear Attention

Extensions to the Method of Multiplicities, with applications to Kakeya Sets and Mergers

CapFrame: Text-Instructed Viewpoint Grounding in 3D Gaussian Scenes via Geometric Pseudo Labels

Whole-Body MRI Classification via Prompt-Based Clinical Conditioning

Can Large Language Models Infer Causation from Correlation?

Robust Multi-Modality Multi-Object Tracking

ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research

Fortin operators for DPG advection discretizations

SkillZip Pro: Execution-Aware Dynamic Compression of Progressively Loaded Skills for Self-Evolving Agents

Temporal Context Aggregation Network for Temporal Action Proposal Refinement

Social Biases through the Text-to-Image Generation Lens

Large Language Models for Test-Free Fault Localization

Simple Entity-Centric Questions Challenge Dense Retrievers

On the iterative decoding of sparse quantum codes

Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network

Sequential Recommendation via Stochastic Self-Attention

ReACC: A Retrieval-Augmented Code Completion Framework

Modern Bayesian Experimental Design

Stacked Deconvolutional Network for Semantic Segmentation

SlowFuzz: Automated Domain-Independent Detection of Algorithmic Complexity Vulnerabilities

Image Super-Resolution as a Defense Against Adversarial Attacks

SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision

0.5 Petabyte Simulation of a 45-Qubit Quantum Circuit

"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning

Synchromesh: Reliable code generation from pre-trained language models

Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing

Iterative Prompt Learning for Unsupervised Backlit Image Enhancement

The Multithreaded version of FORM

How To Train Your Deep Multi-Object Tracker

Regularized Matrix Regression

Synthesizing Training Data for Object Detection in Indoor Scenes

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

Scalability Analysis of a LoRa Network under Imperfect Orthogonality

Parametric Exponential Linear Unit for Deep Convolutional Neural Networks

AS-MLP: An Axial Shifted MLP Architecture for Vision

Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence Scores

The Multi-way Relay Channel

TransTab: Learning Transferable Tabular Transformers Across Tables

HiggsTools: BSM scalar phenomenology with new versions of HiggsBounds and HiggsSignals

Subspace Methods for Joint Sparse Recovery

Chargrid: Towards Understanding 2D Documents