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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22,861 to 22,920 of 61,255

Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Arthur Jacot, Franck Gabriel, Clément Hongler
cs.LGcs.NEmath.PRarXiv:1806.07572v42018
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni, Vincenzo Lomonaco
cs.LGcs.AIcs.CVarXiv:1806.08568v32018
MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Zijian Zhou, Ao Qu, Zhaoxuan Wu +6
cs.CLcs.AIcs.IRarXiv:2506.15841v22025
Limits of local algorithms over sparse random graphs
David Gamarnik, Madhu Sudan
math.PRcs.CCcs.DCarXiv:1304.1831v12013
Robust Registration of Calcium Images by Learned Contrast Synthesis
John A. Bogovic, Philipp Hanslovsky, Allan Wong +1
cs.CVarXiv:1511.01154v12015
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. Elisa Celis, Lingxiao Huang, Vijay Keswani +1
cs.LGcs.AIcs.CYarXiv:1806.06055v32018
Peg-in-Bench: A Modular Benchmark for High-Precision Robotic Insertion
Yosel Delgado, José G. Buenaventura-Carreón, Floris Erich +4
cs.ROarXiv:2609.00906v12026
SoK: Sanitizing for Security
Dokyung Song, Julian Lettner, Prabhu Rajasekaran +4
cs.CRcs.PLarXiv:1806.04355v12018
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models
Ziniu Li, Tian Xu, Yushun Zhang +4
cs.LGarXiv:2310.10505v42023
MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning
Fanqing Meng, Lingxiao Du, Zongkai Liu +12
cs.CVarXiv:2503.07365v22025
Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation
Victor Le Pochat, Tom Van Goethem, Samaneh Tajalizadehkhoob +2
cs.CRcs.NIarXiv:1806.01156v32018
Scaling provable adversarial defenses
Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen +1
cs.LGcs.AImath.OCarXiv:1805.12514v22018
SpatialTracker: Tracking Any 2D Pixels in 3D Space
Yuxi Xiao, Qianqian Wang, Shangzhan Zhang +4
cs.CVarXiv:2404.04319v12024
Long short-term memory networks in memristor crossbars
Can Li, Zhongrui Wang, Mingyi Rao +14
cs.ETphysics.app-pharXiv:1805.11801v12018
Generalizing Verifiable Instruction Following
Valentina Pyatkin, Saumya Malik, Victoria Graf +5
cs.CLarXiv:2507.02833v32025
A Tutorial on Movable Antennas for Wireless Networks
Lipeng Zhu, Wenyan Ma, Weidong Mei +7
cs.ITeess.SParXiv:2502.17905v12025
MontePython 3: boosted MCMC sampler and other features
Thejs Brinckmann, Julien Lesgourgues
astro-ph.COastro-ph.IMarXiv:1804.07261v22018
Non-Prehensile Throwing: A Reinforcement Learning Perspective
Abdullah Mustafa, Ryo Hanai, Ixchel G. Ramirez-Alpizar +4
cs.ROarXiv:2609.00771v12026
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
Qing Yu, Kiyoharu Aizawa
cs.CVarXiv:1908.04951v12019
MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence
Sihan Yang, Runsen Xu, Yiman Xie +10
cs.CVcs.CLarXiv:2505.23764v32025
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou +2
cs.CVcs.ROarXiv:2110.06607v32021
Object Detection in Videos with Tubelet Proposal Networks
Kai Kang, Hongsheng Li, Tong Xiao +4
cs.CVarXiv:1702.06355v22017
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation
Ariel Ephrat, Inbar Mosseri, Oran Lang +5
cs.SDcs.CVeess.ASarXiv:1804.03619v22018
A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies
Marco Giordani, Michele Polese, Arnab Roy +2
cs.NIarXiv:1804.01908v22018
Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs
Bruno Clerckx, Rui Zhang, Robert Schober +3
cs.ITeess.SParXiv:1803.07123v12018
Summaries:한국어
Estimating the intrinsic dimension of datasets by a minimal neighborhood information
Elena Facco, Maria d'Errico, Alex Rodriguez +1
stat.MLcs.LGarXiv:1803.06992v12018
Predictive Uncertainty Estimation via Prior Networks
Andrey Malinin, Mark Gales
stat.MLcs.LGarXiv:1802.10501v42018
Deep learning in radiology: an overview of the concepts and a survey of the state of the art
Maciej A. Mazurowski, Mateusz Buda, Ashirbani Saha +1
cs.CVcs.LGstat.AParXiv:1802.08717v12018
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
Max Simchowitz, Horia Mania, Stephen Tu +2
cs.LGmath.OCstat.MLarXiv:1802.08334v42018
Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lecuyer, Vaggelis Atlidakis, Roxana Geambasu +2
stat.MLcs.AIcs.CRarXiv:1802.03471v42018
Scalable and accurate deep learning for electronic health records
Alvin Rajkomar, Eyal Oren, Kai Chen +31
cs.CYcs.LGarXiv:1801.07860v32018
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Ulysse Côté-Allard, Cheikh Latyr Fall, Alexandre Drouin +5
cs.LGstat.MLarXiv:1801.07756v52018
Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks
Igor Kadota, Abhishek Sinha, Elif Uysal-Biyikoglu +2
cs.NIcs.ITarXiv:1801.01803v12018
Improving DRAM Performance by Parallelizing Refreshes with Accesses
Kevin K. Chang, Donghyuk Lee, Zeshan Chishti +4
cs.ARarXiv:1712.07754v12017
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan, Pan He, Qile Zhu +1
cs.LGcs.CRcs.CVarXiv:1712.07107v32017
Linking connectivity, dynamics and computations in low-rank recurrent neural networks
Francesca Mastrogiuseppe, Srdjan Ostojic
q-bio.NCarXiv:1711.09672v22017
Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks
John Peurifoy, Yichen Shen, Li Jing +6
physics.comp-phphysics.app-phphysics.opticsarXiv:1712.03222v12017
Bayesian random-effects meta-analysis using the bayesmeta R package
Christian Röver
stat.COarXiv:1711.08683v22017
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
Zhen-Hua Feng, Josef Kittler, Muhammad Awais +2
cs.CVarXiv:1711.06753v52017
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns, Seth Neel, Aaron Roth +1
cs.LGcs.DScs.GTarXiv:1711.05144v52017
Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton
math.OCmath.DSphysics.data-anarXiv:1711.05501v22017
Machine Learning for the Geosciences: Challenges and Opportunities
Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela +2
cs.LGcs.AIcs.CVarXiv:1711.04708v12017
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann, Kyong Hwan Jin, Michael Unser
eess.IVcs.CVarXiv:1710.04011v12017
Relative representations enable zero-shot latent space communication
Luca Moschella, Valentino Maiorca, Marco Fumero +3
cs.LGcs.AIarXiv:2209.15430v22022
Advanced capabilities for materials modelling with Quantum ESPRESSO
P. Giannozzi, O. Andreussi, T. Brumme +47
cond-mat.mtrl-sciarXiv:1709.10010v12017
Performance Evaluation of Container-based Virtualization for High Performance Computing Environments
Carlos Arango, Rémy Dernat, John Sanabria
cs.OScs.DCcs.PFarXiv:1709.10140v12017
Error analysis of the L1 method on graded and uniform meshes for a fractional-derivative problem in two and three dimensions
Natalia Kopteva
math.NAarXiv:1709.09136v62017
Machine learning \& artificial intelligence in the quantum domain
Vedran Dunjko, Hans J. Briegel
quant-phcs.AIcs.CVarXiv:1709.02779v12017
Automated Behavioral Analysis of Malware A Case Study of WannaCry Ransomware
Qian Chen, Robert A. Bridges
cs.CRarXiv:1709.08753v12017
Cycles in adversarial regularized learning
Panayotis Mertikopoulos, Christos Papadimitriou, Georgios Piliouras
cs.GTcs.LGarXiv:1709.02738v12017
Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening
Zixuan Cang, Lin Mu, Guowei Wei
q-bio.QMq-bio.BMarXiv:1708.08135v12017
Supervised Speech Separation Based on Deep Learning: An Overview
DeLiang Wang, Jitong Chen
cs.CLcs.LGcs.NEarXiv:1708.07524v22017
Wireless Network Design for Control Systems: A Survey
Pangun Park, Sinem Coleri Ergen, Carlo Fischione +2
eess.SYcs.ITcs.NIarXiv:1708.07353v12017
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
math.STcs.LGstat.MLarXiv:1708.06633v52017
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage +1
cs.LGcs.AIcs.CVarXiv:1708.05866v22017
A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions
Imtiaz Parvez, Ali Rahmati, Ismail Guvenc +2
cs.NIarXiv:1708.02562v22017
Deep Learning in Robotics: A Review of Recent Research
Harry A. Pierson, Michael S. Gashler
cs.ROarXiv:1707.07217v12017
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Pan Xu, Jinghui Chen, Difan Zou +1
stat.MLcs.LGmath.OCarXiv:1707.06618v32017
Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations
Weinan E, Jiequn Han, Arnulf Jentzen
math.NAcs.LGcs.NEarXiv:1706.04702v12017
A Survey of Neuromorphic Computing and Neural Networks in Hardware
Catherine D. Schuman, Thomas E. Potok, Robert M. Patton +4
cs.NEarXiv:1705.06963v12017

Every paper with a summary

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Continuous Learning in Single-Incremental-Task Scenarios

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Limits of local algorithms over sparse random graphs

Robust Registration of Calcium Images by Learned Contrast Synthesis

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

Peg-in-Bench: A Modular Benchmark for High-Precision Robotic Insertion

SoK: Sanitizing for Security

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation

Scaling provable adversarial defenses

SpatialTracker: Tracking Any 2D Pixels in 3D Space

Long short-term memory networks in memristor crossbars

Generalizing Verifiable Instruction Following

A Tutorial on Movable Antennas for Wireless Networks

MontePython 3: boosted MCMC sampler and other features

Non-Prehensile Throwing: A Reinforcement Learning Perspective

Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy

MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling

Object Detection in Videos with Tubelet Proposal Networks

Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation

A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies

Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs

Estimating the intrinsic dimension of datasets by a minimal neighborhood information

Predictive Uncertainty Estimation via Prior Networks

Deep learning in radiology: an overview of the concepts and a survey of the state of the art

Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification

Certified Robustness to Adversarial Examples with Differential Privacy

Scalable and accurate deep learning for electronic health records

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks

Improving DRAM Performance by Parallelizing Refreshes with Accesses

Adversarial Examples: Attacks and Defenses for Deep Learning

Linking connectivity, dynamics and computations in low-rank recurrent neural networks

Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks

Bayesian random-effects meta-analysis using the bayesmeta R package

Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Sparse identification of nonlinear dynamics for model predictive control in the low-data limit

Machine Learning for the Geosciences: Challenges and Opportunities

A Review of Convolutional Neural Networks for Inverse Problems in Imaging

Relative representations enable zero-shot latent space communication

Advanced capabilities for materials modelling with Quantum ESPRESSO

Performance Evaluation of Container-based Virtualization for High Performance Computing Environments

Error analysis of the L1 method on graded and uniform meshes for a fractional-derivative problem in two and three dimensions

Machine learning \& artificial intelligence in the quantum domain

Automated Behavioral Analysis of Malware A Case Study of WannaCry Ransomware

Cycles in adversarial regularized learning

Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening

Supervised Speech Separation Based on Deep Learning: An Overview

Wireless Network Design for Control Systems: A Survey

Nonparametric regression using deep neural networks with ReLU activation function

A Brief Survey of Deep Reinforcement Learning

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions

Deep Learning in Robotics: A Review of Recent Research

Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization

Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations

A Survey of Neuromorphic Computing and Neural Networks in Hardware