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.

Search paper metadata (including unsummarized papers)

23,581 to 23,640 of 61,229

The evolutionary origins of modularity
Jeff Clune, Jean-Baptiste Mouret, Hod Lipson
q-bio.PEcs.NEq-bio.MNarXiv:1207.2743v22012
Personalized Federated Learning: A Meta-Learning Approach
Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar
cs.LGmath.OCstat.MLarXiv:2002.07948v42020
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez, Pierre Boyeau, Nir Yosef +2
stat.MLcs.AIcs.LGarXiv:2002.07217v32020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Xinyu Fu, Jiani Zhang, Ziqiao Meng +1
cs.SIcs.LGarXiv:2002.01680v22020
Think Locally, Act Globally: Federated Learning with Local and Global Representations
Paul Pu Liang, Terrance Liu, Liu Ziyin +5
cs.LGcs.DCstat.MLarXiv:2001.01523v32020
Octopus, a computational framework for exploring light-driven phenomena and quantum dynamics in extended and finite systems
Nicolas Tancogne-Dejean, Micael J. T. Oliveira, Xavier Andrade +31
physics.comp-pharXiv:1912.07921v12019
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
Jamshed Memon, Maira Sami, Rizwan Ahmed Khan
cs.CVcs.LGarXiv:2001.00139v12020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim, Sercan O. Arik, Nicolas Loeff +1
stat.MLcs.LGarXiv:1912.09363v32019
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
Yapeng Li, Yong Luo, Lefei Zhang +2
cs.CVarXiv:2501.04944v12025
Concurrency and Privacy with Payment-Channel Networks
Giulio Malavolta, Pedro Moreno-Sanchez, Aniket Kate +2
cs.CRarXiv:1911.09148v12019
Wannier90 as a community code: new features and applications
Giovanni Pizzi, Valerio Vitale, Ryotaro Arita +28
cond-mat.mtrl-sciphysics.comp-pharXiv:1907.09788v12019
Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Robin M. Schmidt
cs.LGstat.MLarXiv:1912.05911v12019
Training Deep Learning Models with Norm-Constrained LMOs
Thomas Pethick, Wanyun Xie, Kimon Antonakopoulos +3
cs.LGmath.OCarXiv:2502.07529v22025
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu, Deirdre Quillen, Zhanpeng He +7
cs.LGcs.AIcs.ROarXiv:1910.10897v22019
Black holes, cosmological solutions, future singularities, and their thermodynamical properties in modified gravity theories
A. de la Cruz-Dombriz, D. Saez-Gomez
gr-qcastro-ph.COhep-tharXiv:1207.2663v22012
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto +1
cs.LGstat.MLarXiv:1911.08731v22019
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai, Chuang Gan, Tianzhe Wang +2
cs.LGcs.CVstat.MLarXiv:1908.09791v52019
Hyperbolic Graph Convolutional Neural Networks
Ines Chami, Rex Ying, Christopher Ré +1
cs.LGstat.MLarXiv:1910.12933v12019
Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks
Mehrdad Shafiei Dizaji, Hoda Azari
cs.LGarXiv:2609.01417v12026
Representation Learning: A Review and New Perspectives
Yoshua Bengio, Aaron Courville, Pascal Vincent
cs.LGarXiv:1206.5538v32012
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
José Ignacio Orlando, Huazhu Fu, João Barbossa Breda +29
cs.CVarXiv:1910.03667v12019
Pseudo-likelihood methods for community detection in large sparse networks
Arash A. Amini, Aiyou Chen, Peter J. Bickel +1
cs.SIcs.LGmath.STarXiv:1207.2340v32012
The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei, Andrea Montanari
math.STstat.MLarXiv:1908.05355v52019
Lightweight Image Super-Resolution with Information Multi-distillation Network
Zheng Hui, Xinbo Gao, Yunchu Yang +1
eess.IVcs.CVcs.MMarXiv:1909.11856v12019
Performance of first-order methods for smooth convex minimization: a novel approach
Yoel Drori, Marc Teboulle
math.OCarXiv:1206.3209v12012
VASPKIT: A User-friendly Interface Facilitating High-throughput Computing and Analysis Using VASP Code
Vei Wang, Nan Xu, Jin Cheng Liu +2
cond-mat.mtrl-sciarXiv:1908.08269v62019
Tighter Theory for Local SGD on Identical and Heterogeneous Data
Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik
cs.LGcs.DCmath.NAarXiv:1909.04746v42019
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu, Haoming Jiang, Pengcheng He +4
cs.LGcs.CLstat.MLarXiv:1908.03265v42019
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava +2
cs.LGstat.MLarXiv:1907.04931v42019
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving
Yulong Cao, Chaowei Xiao, Benjamin Cyr +6
cs.CRcs.CVeess.SParXiv:1907.06826v22019
Large Scale Adversarial Representation Learning
Jeff Donahue, Karen Simonyan
cs.CVcs.LGstat.MLarXiv:1907.02544v22019
Simulating quantum many-body dynamics on a current digital quantum computer
Adam Smith, M. S. Kim, Frank Pollmann +1
quant-phcond-mat.mes-hallcond-mat.str-elarXiv:1906.06343v22019
On the Convergence of FedAvg on Non-IID Data
Xiang Li, Kaixuan Huang, Wenhao Yang +2
stat.MLcs.LGmath.OCarXiv:1907.02189v42019
Does Learning Require Memorization? A Short Tale about a Long Tail
Vitaly Feldman
cs.LGstat.MLarXiv:1906.05271v42019
Event Generation with Sherpa 2.2
Enrico Bothmann, Gurpreet Singh Chahal, Stefan Höche +9
hep-phhep-exarXiv:1905.09127v22019
Differentiable Surface Splatting for Point-based Geometry Processing
Wang Yifan, Felice Serena, Shihao Wu +2
cs.GRcs.NEarXiv:1906.04173v32019
SIRENE: Supervised Inference of Regulatory Networks
Fantine Mordelet, Jean-Philippe Vert
q-bio.QMarXiv:0802.3959v12008
QuantumATK: An integrated platform of electronic and atomic-scale modelling tools
Søren Smidstrup, Troels Markussen, Pieter Vancraeyveld +19
cond-mat.mtrl-scicond-mat.mes-hallarXiv:1905.02794v22019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
Simon S. Du, Kangcheng Hou, Barnabás Póczos +3
cs.LGcs.AIcs.CVarXiv:1905.13192v22019
Isogeometric analysis: an overview and computer implementation aspects
Vinh Phu Nguyen, Stéphane P. A. Bordas, Timon Rabczuk
math.NAcs.MSarXiv:1205.2129v22012
Text Classification Algorithms: A Survey
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa +3
cs.LGcs.AIcs.CLarXiv:1904.08067v52019
Provably Powerful Graph Networks
Haggai Maron, Heli Ben-Hamu, Hadar Serviansky +1
cs.LGstat.MLarXiv:1905.11136v42019
Deep Reinforcement Learning for Sepsis Treatment
Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed +3
cs.AIcs.LGarXiv:1711.09602v12017
Mercury: Ultra-Fast Language Models Based on Diffusion
Inception Labs, Samar Khanna, Siddhant Kharbanda +10
cs.CLcs.AIcs.LGarXiv:2506.17298v12025
Beyond citations: Scholars' visibility on the social Web
Judit Bar-Ilan, Stefanie Haustein, Isabella Peters +3
cs.DLcs.SIphysics.soc-pharXiv:1205.5611v12012
On Exact Computation with an Infinitely Wide Neural Net
Sanjeev Arora, Simon S. Du, Wei Hu +3
cs.LGcs.CVcs.NEarXiv:1904.11955v22019
Embarrassingly Shallow Autoencoders for Sparse Data
Harald Steck
cs.IRcs.LGstat.MLarXiv:1905.03375v12019
CopyShield: A Cross-Level Benchmark of Copyright Defenses in LLMs
Maryam Alshehyari, Dushyant Singh Chauhan, Samuele Poppi +3
cs.LGarXiv:2609.01161v12026
On the Convergence of Adam and Beyond
Sashank J. Reddi, Satyen Kale, Sanjiv Kumar
cs.LGmath.OCstat.MLarXiv:1904.09237v12019
A Survey on Traffic Signal Control Methods
Hua Wei, Guanjie Zheng, Vikash Gayah +1
cs.LGcs.AIstat.MLarXiv:1904.08117v32019
Adaptive robust variable selection
Jianqing Fan, Yingying Fan, Emre Barut
math.STarXiv:1205.4795v32012
UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler
Luigi Piccinelli, Christos Sakaridis, Yung-Hsu Yang +4
cs.CVarXiv:2502.20110v22025
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie, Andrea Montanari, Saharon Rosset +1
math.STcs.LGstat.MLarXiv:1903.08560v52019
Three scenarios for continual learning
Gido M. van de Ven, Andreas S. Tolias
cs.LGcs.AIcs.CVarXiv:1904.07734v12019
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li +106
cs.CVarXiv:1901.04056v22019
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website
Luca Pion-Tonachini, Ken Kreutz-Delgado, Scott Makeig
eess.SPcs.LGstat.MLarXiv:1901.07915v22019
Conformal Prediction Under Covariate Shift
Ryan J. Tibshirani, Rina Foygel Barber, Emmanuel J. Candes +1
stat.MEarXiv:1904.06019v32019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Yunpeng Chen, Haoqi Fan, Bing Xu +5
cs.CVarXiv:1904.05049v32019
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
Yang You, Jing Li, Sashank Reddi +7
cs.LGcs.AIcs.CLarXiv:1904.00962v52019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
Jaehoon Lee, Lechao Xiao, Samuel S. Schoenholz +4
stat.MLcs.LGarXiv:1902.06720v42019

Every paper with a summary

The evolutionary origins of modularity

Personalized Federated Learning: A Meta-Learning Approach

Decision-Making with Auto-Encoding Variational Bayes

MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

Think Locally, Act Globally: Federated Learning with Local and Global Representations

Octopus, a computational framework for exploring light-driven phenomena and quantum dynamics in extended and finite systems

Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification

Concurrency and Privacy with Payment-Channel Networks

Wannier90 as a community code: new features and applications

Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Training Deep Learning Models with Norm-Constrained LMOs

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

Black holes, cosmological solutions, future singularities, and their thermodynamical properties in modified gravity theories

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Once-for-All: Train One Network and Specialize it for Efficient Deployment

Hyperbolic Graph Convolutional Neural Networks

Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks

Representation Learning: A Review and New Perspectives

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

Pseudo-likelihood methods for community detection in large sparse networks

The generalization error of random features regression: Precise asymptotics and double descent curve

Lightweight Image Super-Resolution with Information Multi-distillation Network

Performance of first-order methods for smooth convex minimization: a novel approach

VASPKIT: A User-friendly Interface Facilitating High-throughput Computing and Analysis Using VASP Code

Tighter Theory for Local SGD on Identical and Heterogeneous Data

On the Variance of the Adaptive Learning Rate and Beyond

GraphSAINT: Graph Sampling Based Inductive Learning Method

Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving

Large Scale Adversarial Representation Learning

Simulating quantum many-body dynamics on a current digital quantum computer

On the Convergence of FedAvg on Non-IID Data

Does Learning Require Memorization? A Short Tale about a Long Tail

Event Generation with Sherpa 2.2

Differentiable Surface Splatting for Point-based Geometry Processing

SIRENE: Supervised Inference of Regulatory Networks

QuantumATK: An integrated platform of electronic and atomic-scale modelling tools

Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels

Isogeometric analysis: an overview and computer implementation aspects

Text Classification Algorithms: A Survey

Provably Powerful Graph Networks

Deep Reinforcement Learning for Sepsis Treatment

Mercury: Ultra-Fast Language Models Based on Diffusion

Beyond citations: Scholars' visibility on the social Web

On Exact Computation with an Infinitely Wide Neural Net

Embarrassingly Shallow Autoencoders for Sparse Data

CopyShield: A Cross-Level Benchmark of Copyright Defenses in LLMs

On the Convergence of Adam and Beyond

A Survey on Traffic Signal Control Methods

Adaptive robust variable selection

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Three scenarios for continual learning

The Liver Tumor Segmentation Benchmark (LiTS)

ICLabel: An automated electroencephalographic independent component classifier, dataset, and website

Conformal Prediction Under Covariate Shift

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent