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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11,101 to 11,160 of 61,229

Panoptic Scene Graph Generation
Jingkang Yang, Yi Zhe Ang, Zujin Guo +3
cs.CVcs.AIcs.CLarXiv:2207.11247v12022
Fast Exact Search in Hamming Space with Multi-Index Hashing
Mohammad Norouzi, Ali Punjani, David J. Fleet
cs.CVcs.AIcs.DSarXiv:1307.2982v32013
Is Forecasting Accuracy Enough? A Comparative Study of Traffic Forecasters for Beam-Hopping LEO Satellite Networks
Yekta Demirci, Guillaume Mantelet, Stéphane Martel +2
eess.SParXiv:2609.04662v12026
Content Adaptive and Error Propagation Aware Deep Video Compression
Guo Lu, Chunlei Cai, Xiaoyun Zhang +4
eess.IVcs.CVarXiv:2003.11282v12020
FPConv: Learning Local Flattening for Point Convolution
Yiqun Lin, Zizheng Yan, Haibin Huang +4
cs.CVarXiv:2002.10701v32020
Energy-Efficient Waveform Design for ISAC Systems: An Ambiguity-Domain QoS Perspective
Ngoc-Son Duong, Trung-Hieu Nguyen, Quang-Truong Can
eess.SParXiv:2609.05390v12026
Decoupling Human and Camera Motion from Videos in the Wild
Vickie Ye, Georgios Pavlakos, Jitendra Malik +1
cs.CVarXiv:2302.12827v22023
MAmmoTH2: Scaling Instructions from the Web
Xiang Yue, Tuney Zheng, Ge Zhang +1
cs.CLarXiv:2405.03548v42024
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion
Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig +3
cs.CVarXiv:2203.17191v22022
Emotion Recognition from Physiological Signals Using Machine Learning Algorithms Under Controlled Emotional Stimuli
Aditi Site, Annariina Lohiranta, Tarmo Lipping
eess.SParXiv:2609.05256v12026
Mutual-Coupling-Aware Movable and Fluid Antennas on Holographic Surfaces: A Wavenumber-Domain Circuit-Field Unification
Giovanni Iacovelli, Chandan Kumar Sheemar, Symeon Chatzinotas
eess.SParXiv:2609.04968v12026
Revisiting Membership Inference Under Realistic Assumptions
Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer +2
cs.CRcs.LGstat.MLarXiv:2005.10881v52020
Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition
Tinghui Zhou, Philipp Krähenbühl, Alexei A. Efros
cs.CVarXiv:1510.02413v12015
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image
Priyanka Mandikal, K L Navaneet, Mayank Agarwal +1
cs.CVarXiv:1807.07796v22018
Learning Object Relation Graph and Tentative Policy for Visual Navigation
Heming Du, Xin Yu, Liang Zheng
cs.CVarXiv:2007.11018v12020
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression
Pradeep Ravikumar, Martin J. Wainwright, John D. Lafferty
math.STarXiv:0804.4202v12008
Robust Website Fingerprinting Through the Cache Occupancy Channel
Anatoly Shusterman, Lachlan Kang, Yarden Haskal +4
cs.CRcs.LGarXiv:1811.07153v32018
Achieving Shrinkage in a Time-Varying Parameter Model Framework
Angela Bitto, Sylvia Frühwirth-Schnatter
stat.MEstat.APstat.COarXiv:1611.01310v22016
Task-oriented Framework for Communication-Efficient Federated Learning: From Isolated Optimization to Holistic Synergy
Fuqiang Pan, Yan Liu, Erwu Liu +1
eess.SParXiv:2609.04945v12026
Graph-Coupled Oscillator Networks
T. Konstantin Rusch, Benjamin P. Chamberlain, James Rowbottom +2
cs.LGmath.DSstat.MLarXiv:2202.02296v22022
An area law and sub-exponential algorithm for 1D systems
Itai Arad, Alexei Kitaev, Zeph Landau +1
quant-phcond-mat.str-elarXiv:1301.1162v12013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Matthias Hein, Simon Setzer, Leonardo Jost +1
stat.MLcs.LGmath.OCarXiv:1312.5179v12013
AFDM-Enabled ISAC in Dynamic Environments: Fundamentals, Technologies and Opportunities
Linchu Chen, Zhendong Li, Zhou Su +2
eess.SParXiv:2609.04876v12026
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images
Tiancheng Lin, Zhimiao Yu, Hongyu Hu +2
cs.CVarXiv:2303.06873v12023
Variational Bayesian Inference and Complexity Control for Stochastic Block Models
Pierre Latouche, Etienne Birmele, Christophe Ambroise
stat.APstat.MEarXiv:0912.2873v22009
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Michael Opitz, Georg Waltner, Horst Possegger +1
cs.CVarXiv:1801.04815v12018
The VoiceMOS Challenge 2022
Wen-Chin Huang, Erica Cooper, Yu Tsao +3
cs.SDeess.ASarXiv:2203.11389v32022
Fashion Landmark Detection in the Wild
Ziwei Liu, Sijie Yan, Ping Luo +2
cs.CVarXiv:1608.03049v12016
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
cs.LGcs.AIcs.CVarXiv:2303.05754v32023
Non-Parametric Outlier Synthesis
Leitian Tao, Xuefeng Du, Xiaojin Zhu +1
cs.LGcs.AIarXiv:2303.02966v12023
Hierarchical Codebook Design and Low-Overhead Beam Training for Near-Field Communications With Uniform Circular Arrays
Gen Luo, Hang Yuan, Xiaozheng Gao +3
eess.SParXiv:2609.04836v12026
Learning to Optimize under Non-Stationarity
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
cs.LGstat.MLarXiv:1810.03024v62018
Monotone operator equilibrium networks
Ezra Winston, J. Zico Kolter
cs.LGstat.MLarXiv:2006.08591v22020
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
Hyungjin Chung, Jeongsol Kim, Sehui Kim +1
cs.CVcs.LGstat.MLarXiv:2211.10656v12022
Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN
Bin Lyu, Parisa Ramezani, Dinh Thai Hoang +3
eess.SPcs.ITarXiv:2004.03108v22020
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
Guozhen Zhang, Yuhan Zhu, Haonan Wang +3
cs.CVarXiv:2303.00440v22023
State Evolution for Approximate Message Passing with Non-Separable Functions
Raphael Berthier, Andrea Montanari, Phan-Minh Nguyen
cs.ITarXiv:1708.03950v12017
Spectral Clustering of Graphs with the Bethe Hessian
Alaa Saade, Florent Krzakala, Lenka Zdeborová
cond-mat.dis-nncs.SIphysics.soc-pharXiv:1406.1880v22014
RegMix: Data Mixture as Regression for Language Model Pre-training
Qian Liu, Xiaosen Zheng, Niklas Muennighoff +5
cs.CLcs.AIarXiv:2407.01492v22024
Mixing time of exponential random graphs
Shankar Bhamidi, Guy Bresler, Allan Sly
math.PRarXiv:0812.2265v12008
Visual Pivoting for (Unsupervised) Entity Alignment
Fangyu Liu, Muhao Chen, Dan Roth +1
cs.CLcs.AIarXiv:2009.13603v22020
Enhancing Neural Speech Coding with Semantic and Visual Cues
Yao Guo, Yang Ai, Hui-Peng Du +3
eess.ASarXiv:2609.05076v12026
Multiple View Neural Regression of a Facial Shape Model
Xiang Li
cs.CVarXiv:2608.22655v12026
Autonomous discovery in the chemical sciences part II: Outlook
Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen
q-bio.QMcs.AIcs.ROarXiv:2003.13755v12020
Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling
Peng Chen, Zhenxin Cao, Zhimin Chen +1
eess.SParXiv:1804.04460v42018
Punishment and inspection for governing the commons in a feedback-evolving game
Xiaojie Chen, Attila Szolnoki
physics.soc-phmath.OCq-bio.PEarXiv:1807.05484v12018
Active IRS Aided Multiple Access for Energy-Constrained IoT Systems
Guangji Chen, Qingqing Wu, Chong He +3
cs.ITcs.ETeess.SParXiv:2201.12565v12022
De novo exploration and self-guided learning of potential-energy surfaces
Noam Bernstein, Gábor Csányi, Volker L. Deringer
cond-mat.mtrl-sciphysics.comp-pharXiv:1905.10407v12019
Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting
Giacomo Capizzi, Christian Napoli, Francesco Bonanno
cs.NEarXiv:1308.3524v12013
On the robustness of the h-index
Jerome K Vanclay
cs.DLarXiv:cs/0701074v12007
Multiplexity-facilitated cascades in networks
Charles D. Brummitt, Kyu-Min Lee, K. -I. Goh
physics.soc-phcond-mat.dis-nncond-mat.stat-mecharXiv:1112.0093v32011
Policy Iteration for Domain Randomized Linear Quadratic Systems
Abbas Pasdar, Farnaz Adib Yaghmaie
math.OCeess.SYarXiv:2609.04794v12026
A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems
Yang Li, Meng Zhang, Chen Chen
cs.LGeess.SPeess.SYarXiv:2112.03265v12021
Data-Driven Generator Transient Prediction for Digital Twin Decision Support
Emad Sadeghi, Emerson Miller, Kerry Sado +1
eess.SYeess.SParXiv:2609.05356v12026
Security Risk Assessment in Internet of Things Systems
Jason R. C. Nurse, Sadie Creese, David De Roure
cs.CRcs.CYarXiv:1811.03290v12018
Bayesian Network Enhanced with Structural Reliability Methods: Methodology
Daniel Straub, Armen Der Kiureghian
stat.APstat.MEstat.MLarXiv:1203.5986v12012
Forecast-Ensemble-Based Active Binary-Threshold Query Design for Interval Data Assimilation
Wataru Hashimoto, Kazumune Hashimoto, Haru Kuroki
eess.SYarXiv:2609.05307v12026
The Illusion of Insight in Reasoning Models
Liv G. d'Aliberti, Manoel Horta Ribeiro
cs.AIcs.CLarXiv:2601.00514v22026
Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires
Enkelejda Miho, Alexander Yermanos, Cédric R. Weber +3
q-bio.QMarXiv:1711.11070v12017
How to avoid machine learning pitfalls: a guide for academic researchers
Michael A. Lones
cs.LGarXiv:2108.02497v52021

Every paper with a summary

Panoptic Scene Graph Generation

Fast Exact Search in Hamming Space with Multi-Index Hashing

Is Forecasting Accuracy Enough? A Comparative Study of Traffic Forecasters for Beam-Hopping LEO Satellite Networks

Content Adaptive and Error Propagation Aware Deep Video Compression

FPConv: Learning Local Flattening for Point Convolution

Energy-Efficient Waveform Design for ISAC Systems: An Ambiguity-Domain QoS Perspective

Decoupling Human and Camera Motion from Videos in the Wild

MAmmoTH2: Scaling Instructions from the Web

Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion

Emotion Recognition from Physiological Signals Using Machine Learning Algorithms Under Controlled Emotional Stimuli

Mutual-Coupling-Aware Movable and Fluid Antennas on Holographic Surfaces: A Wavenumber-Domain Circuit-Field Unification

Revisiting Membership Inference Under Realistic Assumptions

Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition

3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image

Learning Object Relation Graph and Tentative Policy for Visual Navigation

High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression

Robust Website Fingerprinting Through the Cache Occupancy Channel

Achieving Shrinkage in a Time-Varying Parameter Model Framework

Task-oriented Framework for Communication-Efficient Federated Learning: From Isolated Optimization to Holistic Synergy

Graph-Coupled Oscillator Networks

An area law and sub-exponential algorithm for 1D systems

The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited

AFDM-Enabled ISAC in Dynamic Environments: Fundamentals, Technologies and Opportunities

Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images

Variational Bayesian Inference and Complexity Control for Stochastic Block Models

Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly

The VoiceMOS Challenge 2022

Fashion Landmark Detection in the Wild

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Non-Parametric Outlier Synthesis

Hierarchical Codebook Design and Low-Overhead Beam Training for Near-Field Communications With Uniform Circular Arrays

Learning to Optimize under Non-Stationarity

Monotone operator equilibrium networks

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN

Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation

State Evolution for Approximate Message Passing with Non-Separable Functions

Spectral Clustering of Graphs with the Bethe Hessian

RegMix: Data Mixture as Regression for Language Model Pre-training

Mixing time of exponential random graphs

Visual Pivoting for (Unsupervised) Entity Alignment

Enhancing Neural Speech Coding with Semantic and Visual Cues

Multiple View Neural Regression of a Facial Shape Model

Autonomous discovery in the chemical sciences part II: Outlook

Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling

Punishment and inspection for governing the commons in a feedback-evolving game

Active IRS Aided Multiple Access for Energy-Constrained IoT Systems

De novo exploration and self-guided learning of potential-energy surfaces

Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting

On the robustness of the h-index

Multiplexity-facilitated cascades in networks

Policy Iteration for Domain Randomized Linear Quadratic Systems

A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems

Data-Driven Generator Transient Prediction for Digital Twin Decision Support

Security Risk Assessment in Internet of Things Systems

Bayesian Network Enhanced with Structural Reliability Methods: Methodology

Forecast-Ensemble-Based Active Binary-Threshold Query Design for Interval Data Assimilation

The Illusion of Insight in Reasoning Models

Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires

How to avoid machine learning pitfalls: a guide for academic researchers