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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25,381 to 25,440 of 61,134

Dual-Resolution Correspondence Networks
Xinghui Li, Kai Han, Shuda Li +1
cs.CVarXiv:2006.08844v22020
Nuclei instance segmentation and classification in histopathology images with StarDist
Martin Weigert, Uwe Schmidt
cs.CVarXiv:2203.02284v32022
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
Paul Röttger, Valentin Hofmann, Valentina Pyatkin +4
cs.CLcs.AIarXiv:2402.16786v22024
Machine-Learning-Based Diagnostics of EEG Pathology
Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz +5
eess.IVcs.LGeess.SParXiv:2002.05115v12020
Molecule Attention Transformer
Łukasz Maziarka, Tomasz Danel, Sławomir Mucha +3
cs.LGphysics.comp-phstat.MLarXiv:2002.08264v12020
Visual Odometry Revisited: What Should Be Learnt?
Huangying Zhan, Chamara Saroj Weerasekera, Jiawang Bian +1
cs.CVarXiv:1909.09803v42019
The Python Sky Model: software for simulating the Galactic microwave sky
Ben Thorne, Jo Dunkley, David Alonso +1
astro-ph.COarXiv:1608.02841v12016
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Bailin Li, Bowen Wu, Jiang Su +2
cs.CVarXiv:2007.02491v22020
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Huajian Xin, Z. Z. Ren, Junxiao Song +14
cs.CLcs.AIcs.LGarXiv:2408.08152v12024
Inferring deterministic causal relations
Povilas Daniusis, Dominik Janzing, Joris Mooij +4
cs.LGstat.MLarXiv:1203.3475v12012
A Network Science Perspective on Evaluating Deep Graph Generative Models
Tianrui Mao, Abele Malan, Megha Khosla +2
cs.SIcs.AIarXiv:2609.01015v12026
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
Chunyuan Li, Haotian Liu, Liunian Harold Li +8
cs.CVcs.CLcs.LGarXiv:2204.08790v62022
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
Sanjay Kariyappa, Atul Prakash, Moinuddin Qureshi
stat.MLcs.LGarXiv:2005.03161v22020
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
Arman Cohan, Bart Desmet, Andrew Yates +3
cs.CLarXiv:1806.05258v22018
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave, Guillaume Obozinski, Francis Bach
cs.LGstat.MLarXiv:1109.1990v12011
Online dynamic mode decomposition for time-varying systems
Hao Zhang, Clarence W. Rowley, Eric A. Deem +1
math.OCeess.SYphysics.comp-pharXiv:1707.02876v12017
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition
Tianshui Chen, Liang Lin, Riquan Chen +2
cs.CVarXiv:2009.09450v12020
Multi-Source Domain Adaptation with Mixture of Experts
Jiang Guo, Darsh J Shah, Regina Barzilay
cs.CLarXiv:1809.02256v22018
RAB: Provable Robustness Against Backdoor Attacks
Maurice Weber, Xiaojun Xu, Bojan Karlaš +2
cs.LGstat.MLarXiv:2003.08904v82020
Summaries:한국어
C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness
Yu Kang, Xianghui Sun, Liangyu Chen +1
cs.CLcs.LGarXiv:2412.11664v12024
Distributed Matrix Completion and Robust Factorization
Lester Mackey, Ameet Talwalkar, Michael I. Jordan
cs.LGcs.DSmath.NAarXiv:1107.0789v72011
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
Richard S. Sutton, Csaba Szepesvari, Alborz Geramifard +1
cs.AIcs.LGeess.SYarXiv:1206.3285v12012
On Particle Methods for Parameter Estimation in State-Space Models
Nikolas Kantas, Arnaud Doucet, Sumeetpal S. Singh +2
stat.COstat.MEarXiv:1412.8695v22014
DF40: Toward Next-Generation Deepfake Detection
Zhiyuan Yan, Taiping Yao, Shen Chen +8
cs.CVarXiv:2406.13495v22024
What Is Worth Representing? Representational Empowerment for Continual Model Construction
Fei Dai, Hanqi Zhou, Alison Gopnik +1
cs.LGcs.AIarXiv:2609.02322v12026
Tight Bounds for Lp Samplers, Finding Duplicates in Streams, and Related Problems
Hossein Jowhari, Mert Sağlam, Gábor Tardos
cs.DScs.CCcs.DBarXiv:1012.4889v12010
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
Gongjie Zhang, Zhipeng Luo, Kaiwen Cui +2
cs.CVcs.AIcs.LGarXiv:2208.00219v12022
Learning from Distributions via Support Measure Machines
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo +1
stat.MLcs.LGarXiv:1202.6504v22012
VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages
Usneek Singh, Poorvaja Veera Balaji Kumar, Parth Nanda +4
cs.CLcs.AIarXiv:2609.01788v12026
Can local particle filters beat the curse of dimensionality?
Patrick Rebeschini, Ramon van Handel
math.STmath.PRarXiv:1301.6585v22013
Jointly embedding the local and global relations of heterogeneous graph for rumor detection
Chunyuan Yuan, Qianwen Ma, Wei Zhou +2
cs.CLcs.IRcs.SIarXiv:1909.04465v22019
Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields
Amir Mallak, Alaa Maalouf, Lior Wolf +2
cs.LGcs.CVarXiv:2609.03117v12026
Matrix estimation by Universal Singular Value Thresholding
Sourav Chatterjee
math.STmath.PRarXiv:1212.1247v72012
Nonparametric Bayesian inference of the microcanonical stochastic block model
Tiago P. Peixoto
physics.data-anphysics.soc-phstat.MLarXiv:1610.02703v42016
Semi-Supervised Virtual Staining via Morphology Preservation and Histopathological Realism Constraints
Baoshun Wang, Weiping Lin, Linwu Wang +3
cs.CVcs.AIarXiv:2609.00984v12026
Deep Neural Networks for Multiple Speaker Detection and Localization
Weipeng He, Petr Motlicek, Jean-Marc Odobez
cs.SDcs.AIcs.MMarXiv:1711.11565v32017
Self-Supervised Generation of Spatial Audio for 360 Video
Pedro Morgado, Nuno Vasconcelos, Timothy Langlois +1
cs.SDcs.CVcs.LGarXiv:1809.02587v12018
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal, Xiaohan Chen, Zhangyang Wang
cs.LGcs.CVstat.MLarXiv:1810.09102v12018
Strong oracle optimality of folded concave penalized estimation
Jianqing Fan, Lingzhou Xue, Hui Zou
math.STstat.COstat.MLarXiv:1210.5992v42012
Universality in polytope phase transitions and message passing algorithms
Mohsen Bayati, Marc Lelarge, Andrea Montanari
math.PRcs.ITarXiv:1207.7321v22012
TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs
Weiyang Wang, Moein Khazraee, Zhizhen Zhong +5
cs.NIcs.DCarXiv:2202.00433v32022
Just Talk Once: Communication-Efficient Split Federated LLM Fine-Tuning on Edge Devices
Jiaxiang Geng, Xianhao Chen, Bing Luo
cs.DCarXiv:2609.01457v12026
Gradient Coding from Cyclic MDS Codes and Expander Graphs
Netanel Raviv, Itzhak Tamo, Rashish Tandon +1
cs.ITstat.MLarXiv:1707.03858v32017
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stefan Lee, Senthil Purushwalkam, Michael Cogswell +3
cs.CVcs.CLarXiv:1606.07839v32016
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Runfa Chen, Wenbing Huang, Binghui Huang +2
cs.CVarXiv:2003.00273v62020
The method of moments and degree distributions for network models
Peter J. Bickel, Aiyou Chen, Elizaveta Levina
math.STarXiv:1202.5101v12012
Sharp Multiple Instance Learning for DeepFake Video Detection
Xiaodan Li, Yining Lang, Yuefeng Chen +5
cs.CVcs.MMarXiv:2008.04585v12020
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma, Chunting Zhou, Xian Li +2
cs.CLcs.LGarXiv:1909.02480v32019
Targeted Adversarial Examples for Black Box Audio Systems
Rohan Taori, Amog Kamsetty, Brenton Chu +1
cs.LGcs.CRcs.SDarXiv:1805.07820v22018
NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning
Meixuan Chen, Hehan Li, Ruizhi Zhao +8
cs.CLcs.AIarXiv:2609.02366v12026
Machine Learning for Quantum Mechanical Properties of Atoms in Molecules
Matthias Rupp, Raghunathan Ramakrishnan, O. Anatole von Lilienfeld
physics.chem-pharXiv:1505.00350v22015
Bayesian variable selection regression for genome-wide association studies and other large-scale problems
Yongtao Guan, Matthew Stephens
stat.AParXiv:1110.6019v12011
High-dimensional covariance matrix estimation in approximate factor models
Jianqing Fan, Yuan Liao, Martina Mincheva
stat.MEmath.STarXiv:1105.4292v32011
Strong convergence of an explicit numerical method for SDEs with nonglobally Lipschitz continuous coefficients
Martin Hutzenthaler, Arnulf Jentzen, Peter E. Kloeden
math.NAmath.PRarXiv:1010.3756v22010
Brownian distance covariance
Gábor J. Székely, Maria L. Rizzo
stat.AParXiv:1010.0297v22010
Multivariate quantiles and multiple-output regression quantiles: From $L_1$ optimization to halfspace depth
Marc Hallin, Davy Paindaveine, Miroslav Šiman
math.STarXiv:1002.4486v12010
Estimation of high-dimensional low-rank matrices
Angelika Rohde, Alexandre B. Tsybakov
math.STarXiv:0912.5338v52009
Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging
Ian L. Dryden, Alexey Koloydenko, Diwei Zhou
stat.AParXiv:0910.1656v12009
SAM 3D: 3Dfy Anything in Images
SAM 3D Team, Xingyu Chen, Fu-Jen Chu +20
cs.CVcs.AIarXiv:2511.16624v22025
FastSHAP: Real-Time Shapley Value Estimation
Neil Jethani, Mukund Sudarshan, Ian Covert +2
stat.MLcs.CVcs.LGarXiv:2107.07436v32021

Every paper with a summary

Dual-Resolution Correspondence Networks

Nuclei instance segmentation and classification in histopathology images with StarDist

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Machine-Learning-Based Diagnostics of EEG Pathology

Molecule Attention Transformer

Visual Odometry Revisited: What Should Be Learnt?

The Python Sky Model: software for simulating the Galactic microwave sky

EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

Inferring deterministic causal relations

A Network Science Perspective on Evaluating Deep Graph Generative Models

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation

SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions

Trace Lasso: a trace norm regularization for correlated designs

Online dynamic mode decomposition for time-varying systems

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition

Multi-Source Domain Adaptation with Mixture of Experts

RAB: Provable Robustness Against Backdoor Attacks

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness

Distributed Matrix Completion and Robust Factorization

Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping

On Particle Methods for Parameter Estimation in State-Space Models

DF40: Toward Next-Generation Deepfake Detection

What Is Worth Representing? Representational Empowerment for Continual Model Construction

Tight Bounds for Lp Samplers, Finding Duplicates in Streams, and Related Problems

Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation

Learning from Distributions via Support Measure Machines

VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages

Can local particle filters beat the curse of dimensionality?

Jointly embedding the local and global relations of heterogeneous graph for rumor detection

Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields

Matrix estimation by Universal Singular Value Thresholding

Nonparametric Bayesian inference of the microcanonical stochastic block model

Semi-Supervised Virtual Staining via Morphology Preservation and Histopathological Realism Constraints

Deep Neural Networks for Multiple Speaker Detection and Localization

Self-Supervised Generation of Spatial Audio for 360 Video

Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?

Strong oracle optimality of folded concave penalized estimation

Universality in polytope phase transitions and message passing algorithms

TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs

Just Talk Once: Communication-Efficient Split Federated LLM Fine-Tuning on Edge Devices

Gradient Coding from Cyclic MDS Codes and Expander Graphs

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

The method of moments and degree distributions for network models

Sharp Multiple Instance Learning for DeepFake Video Detection

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Targeted Adversarial Examples for Black Box Audio Systems

NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning

Machine Learning for Quantum Mechanical Properties of Atoms in Molecules

Bayesian variable selection regression for genome-wide association studies and other large-scale problems

High-dimensional covariance matrix estimation in approximate factor models

Strong convergence of an explicit numerical method for SDEs with nonglobally Lipschitz continuous coefficients

Brownian distance covariance

Multivariate quantiles and multiple-output regression quantiles: From $L_1$ optimization to halfspace depth

Estimation of high-dimensional low-rank matrices

Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging

SAM 3D: 3Dfy Anything in Images

FastSHAP: Real-Time Shapley Value Estimation