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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47,761 to 47,820 of 61,306

Stochastic Galerkin Methods for the Boltzmann-Poisson system
Jose A. Morales Escalante, Clemens Heitzinger
math.NAarXiv:1910.13525v32019
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
Taylor Shin, Yasaman Razeghi, Robert L. Logan +2
cs.CLcs.LGarXiv:2010.15980v22020
Package-X: A Mathematica package for the analytic calculation of one-loop integrals
Hiren H. Patel
hep-pharXiv:1503.01469v22015
A new class of efficient and robust energy stable schemes for gradient flows
Jie Shen, Jie Xu, Jiang Yang
math.NAarXiv:1710.01331v12017
Normalized Loss Functions for Deep Learning with Noisy Labels
Xingjun Ma, Hanxun Huang, Yisen Wang +3
cs.LGcs.CVstat.MLarXiv:2006.13554v12020
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
Yu Tian, Guansong Pang, Yuanhong Chen +3
cs.CVarXiv:2101.10030v32021
Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions
Angira Sharma, Edward Kosasih, Jie Zhang +2
cs.LGcs.SEarXiv:2011.02833v32020
MTDiag: A Multi-Turn Diagnostic Dataset Towards Clinically Meaningful LLM Evaluation
Pia Chouayfati, Alexander M. Fichtl, Miriam Anschütz +2
cs.CLarXiv:2608.25085v12026
Privacy-preserving Federated Brain Tumour Segmentation
Wenqi Li, Fausto Milletarì, Daguang Xu +8
cs.CVarXiv:1910.00962v12019
Symmetries, Cluster Synchronization, and Isolated Desynchronization in Complex Networks
Louis M. Pecora, Francesco Sorrentino, Aaron M. Hagerstrom +2
nlin.CDarXiv:1309.6605v12013
A principal component analysis of 39 scientific impact measures
Johan Bollen, Herbert Van de Sompel, Aric Hagberg +1
cs.DLcs.CYarXiv:0902.2183v22009
Measurement and Fairness
Abigail Z. Jacobs, Hanna Wallach
cs.CYcs.LGarXiv:1912.05511v32019
HealthBench-Psych: A Mental Health Subset of OpenAI's HealthBench
Matthew Flathers, Phuong Anh Nguyen, Jill Noorily +7
cs.CLcs.AIcs.CYarXiv:2608.25071v12026
Training Deep Neural Networks with 8-bit Floating Point Numbers
Naigang Wang, Jungwook Choi, Daniel Brand +2
cs.LGstat.MLarXiv:1812.08011v12018
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
Lin Yang, Yizhe Zhang, Jianxu Chen +2
cs.CVarXiv:1706.04737v12017
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
Zhihong Shao, Yeyun Gong, Yelong Shen +3
cs.CLarXiv:2305.15294v22023
DataKernelBench: Can LLMs Optimize Database Queries on GPUs?
Gokul Karthik Kumar, Yotam Perlitz, Corey Lammie +2
cs.CLcs.AIcs.DBarXiv:2608.25061v12026
A Self-Attentive model for Knowledge Tracing
Shalini Pandey, George Karypis
cs.LGcs.CYstat.MLarXiv:1907.06837v12019
Few-Shot Class-Incremental Learning
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang +3
cs.CVcs.LGstat.MLarXiv:2004.10956v22020
Padamitra: Grounded Glossary Generation for Classical Sanskrit
Manoj Balaji Jagadeeshan, Sai Pragnaan Marala, Pawan Goyal
cs.CLarXiv:2608.25038v12026
Reliable Federated Learning for Mobile Networks
Jiawen Kang, Zehui Xiong, Dusit Niyato +3
cs.CRarXiv:1910.06837v12019
Artificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control
Jean Rabault, Miroslav Kuchta, Atle Jensen +2
physics.flu-dynarXiv:1808.07664v52018
Device-independent quantum key distribution secure against collective attacks
Stefano Pironio, Antonio Acin, Nicolas Brunner +3
quant-pharXiv:0903.4460v12009
OCR-free Document Understanding Transformer
Geewook Kim, Teakgyu Hong, Moonbin Yim +7
cs.LGcs.AIarXiv:2111.15664v52021
A Primer on Computational Semantics for Artificial Intelligence Systems
Casey Kennington
cs.CLcs.AIarXiv:2608.25022v12026
Differential Privacy via Wavelet Transforms
Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
cs.DBarXiv:0909.5530v12009
Maintaining Discrimination and Fairness in Class Incremental Learning
Bowen Zhao, Xi Xiao, Guojun Gan +2
cs.CVarXiv:1911.07053v12019
GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB
Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko +4
cs.CVarXiv:1712.01057v12017
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
Linjie Li, Yen-Chun Chen, Yu Cheng +3
cs.CVcs.CLcs.LGarXiv:2005.00200v22020
TEA: Temporal Excitation and Aggregation for Action Recognition
Yan Li, Bin Ji, Xintian Shi +3
cs.CVarXiv:2004.01398v12020
The Imperfective Paradox Is Not Necessarily in Large Language Models: A Benchmark Failure Before a Model Failure
Kaiqiao Han, Yizhou Sun
cs.CLcs.LGarXiv:2608.25005v12026
The RooStats Project
Lorenzo Moneta, Kevin Belasco, Kyle Cranmer +6
physics.data-anarXiv:1009.1003v22010
Does Fine-Tuning Undo Activation Steering? Behavioural Recovery Without Weight-Edit Reversal
Philipp E. Glass, Allan Tucker, Yongmin Li +1
cs.CLcs.AIcs.LGarXiv:2608.24988v12026
Fast Segment Anything
Xu Zhao, Wenchao Ding, Yongqi An +5
cs.CVcs.AIarXiv:2306.12156v12023
Dissecting Recall of Factual Associations in Auto-Regressive Language Models
Mor Geva, Jasmijn Bastings, Katja Filippova +1
cs.CLarXiv:2304.14767v32023
Unsupervised Post-Training of Foundation Models: A Survey
Yijie Xu, Qianyi Cai, Huizai Yao +9
cs.CLcs.AIcs.CVarXiv:2608.24982v12026
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung, Sungjin Ahn, Yoshua Bengio
cs.LGarXiv:1609.01704v72016
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
cs.LGstat.MLarXiv:2012.08791v22020
Colorless green recurrent networks dream hierarchically
Kristina Gulordava, Piotr Bojanowski, Edouard Grave +2
cs.CLarXiv:1803.11138v12018
Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G
Yuanwei Liu, Shuowen Zhang, Xidong Mu +5
cs.ITeess.SParXiv:2108.04561v22021
Recurrence networks - A novel paradigm for nonlinear time series analysis
Reik V. Donner, Y. Zou, Jonathan F. Donges +2
nlin.CDarXiv:0908.3447v12009
A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances
Yan Wang, Wei Song, Wei Tao +8
cs.MMarXiv:2203.06935v32022
Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu, Maxim Raginsky
cs.LGcs.ITstat.MLarXiv:1705.07809v22017
Learning with Structured Sparsity
Junzhou Huang, Tong Zhang, Dimitris Metaxas
stat.MEmath.STarXiv:0903.3002v22009
Active Interaction-Aware Model Predictive Path Integral via Ego-Conditioned Generative Predictions
Khaled A. Mustafa, Mohamed-Khalil Bouzidi, Christian Schlauch +4
cs.ROarXiv:2608.21400v12026
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein +21
eess.IVcs.CVcs.CYarXiv:2008.07360v12020
Triangular Fuzzy Rescaling Distance
Eddy Soria, Aida Valls, Ana Beatriz Hernández-Lara
cs.LGcs.AImath.GMarXiv:2608.19234v12026
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies
Hanbyul Joo, Tomas Simon, Yaser Sheikh
cs.CVarXiv:1801.01615v12018
Causality for Machine Learning
Bernhard Schölkopf
cs.LGcs.AIstat.MLarXiv:1911.10500v22019
Runtime Action Interference for AI Control of AlphaStar in StarCraft II
Jaymari Chua, Chen Wang, Liming Zhu +1
cs.LGcs.AIcs.CYarXiv:2608.21398v12026
Online Learning: A Modern Introduction Using Convex Optimization
Francesco Orabona
cs.LGmath.OCstat.MLarXiv:1912.13213v102019
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
Xiaoyu Tian, Junru Gu, Bailin Li +7
cs.CVarXiv:2402.12289v52024
DeePMD-kit v2: A software package for Deep Potential models
Jinzhe Zeng, Duo Zhang, Denghui Lu +44
physics.chem-phphysics.atm-clusarXiv:2304.09409v12023
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh, Martin J. Wainwright
math.STcs.ITstat.MLarXiv:1305.2436v22013
Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection
Emmanuel Candes, Yingying Fan, Lucas Janson +1
stat.MEmath.STstat.AParXiv:1610.02351v42016
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
Chrisantha Fernando, Dylan Banarse, Henryk Michalewski +2
cs.CLcs.AIcs.LGarXiv:2309.16797v12023
Demystifying Neural Style Transfer
Yanghao Li, Naiyan Wang, Jiaying Liu +1
cs.CVcs.LGcs.NEarXiv:1701.01036v22017
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
Yiping Lu, Aoxiao Zhong, Quanzheng Li +1
cs.CVcs.LGstat.MLarXiv:1710.10121v32017
ODG-NoMaD: Overhead-Camera Direction-Guided NoMaD
Blossom Treesa Bastian, Keerthi S. Shetty, Manish Kolachalam +2
cs.ROcs.AIarXiv:2608.21395v12026
Generative Gap Filling
Yonathan A. Arbel, David A. Hoffman
cs.CYcs.CLarXiv:2608.21401v12026

Every paper with a summary

Stochastic Galerkin Methods for the Boltzmann-Poisson system

AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Package-X: A Mathematica package for the analytic calculation of one-loop integrals

A new class of efficient and robust energy stable schemes for gradient flows

Normalized Loss Functions for Deep Learning with Noisy Labels

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning

Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions

MTDiag: A Multi-Turn Diagnostic Dataset Towards Clinically Meaningful LLM Evaluation

Privacy-preserving Federated Brain Tumour Segmentation

Symmetries, Cluster Synchronization, and Isolated Desynchronization in Complex Networks

A principal component analysis of 39 scientific impact measures

Measurement and Fairness

HealthBench-Psych: A Mental Health Subset of OpenAI's HealthBench

Training Deep Neural Networks with 8-bit Floating Point Numbers

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

DataKernelBench: Can LLMs Optimize Database Queries on GPUs?

A Self-Attentive model for Knowledge Tracing

Few-Shot Class-Incremental Learning

Padamitra: Grounded Glossary Generation for Classical Sanskrit

Reliable Federated Learning for Mobile Networks

Artificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control

Device-independent quantum key distribution secure against collective attacks

OCR-free Document Understanding Transformer

A Primer on Computational Semantics for Artificial Intelligence Systems

Differential Privacy via Wavelet Transforms

Maintaining Discrimination and Fairness in Class Incremental Learning

GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB

HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

TEA: Temporal Excitation and Aggregation for Action Recognition

The Imperfective Paradox Is Not Necessarily in Large Language Models: A Benchmark Failure Before a Model Failure

The RooStats Project

Does Fine-Tuning Undo Activation Steering? Behavioural Recovery Without Weight-Edit Reversal

Fast Segment Anything

Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Unsupervised Post-Training of Foundation Models: A Survey

Hierarchical Multiscale Recurrent Neural Networks

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

Colorless green recurrent networks dream hierarchically

Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G

Recurrence networks - A novel paradigm for nonlinear time series analysis

A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances

Information-theoretic analysis of generalization capability of learning algorithms

Learning with Structured Sparsity

Active Interaction-Aware Model Predictive Path Integral via Ego-Conditioned Generative Predictions

A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context

Triangular Fuzzy Rescaling Distance

Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies

Causality for Machine Learning

Runtime Action Interference for AI Control of AlphaStar in StarCraft II

Online Learning: A Modern Introduction Using Convex Optimization

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

DeePMD-kit v2: A software package for Deep Potential models

Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima

Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Demystifying Neural Style Transfer

Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations

ODG-NoMaD: Overhead-Camera Direction-Guided NoMaD

Generative Gap Filling