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)

23,701 to 23,760 of 61,250

Fairness of Exposure in Rankings
Ashudeep Singh, Thorsten Joachims
cs.IRcs.CYarXiv:1802.07281v22018
A Survey on the Security of Blockchain Systems
Xiaoqi Li, Peng Jiang, Ting Chen +2
cs.CRarXiv:1802.06993v32018
Sparsity in multiple kernel learning
Vladimir Koltchinskii, Ming Yuan
math.STarXiv:1211.2998v12012
Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang, Rui Luo, Minne Li +3
cs.MAcs.AIcs.LGarXiv:1802.05438v52018
PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition
Ziyan Gan, Fangxin Liu, Chenyang Guan +10
cs.CLarXiv:2609.01024v12026
Optimal approximation of continuous functions by very deep ReLU networks
Dmitry Yarotsky
cs.NEarXiv:1802.03620v22018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification
Yinhao Zhu, Nicholas Zabaras
physics.comp-phcs.CVcs.LGarXiv:1801.06879v12018
Reasoning with Latent Thoughts: On the Power of Looped Transformers
Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li +2
cs.CLcs.AIcs.LGarXiv:2502.17416v12025
Demystifying MMD GANs
Mikołaj Bińkowski, Danica J. Sutherland, Michael Arbel +1
stat.MLcs.LGarXiv:1801.01401v52018
BestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning
Yuqing Zhu, Jianxun Liu, Mengying Guo +5
cs.PFcs.DBcs.DCarXiv:1710.03439v12017
Scale-free networks are rare
Anna D. Broido, Aaron Clauset
physics.soc-phcs.SIphysics.data-anarXiv:1801.03400v12018
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stefan Wager
stat.MLecon.EMmath.STarXiv:1712.04912v42017
Size-Independent Sample Complexity of Neural Networks
Noah Golowich, Alexander Rakhlin, Ohad Shamir
cs.LGcs.NEstat.MLarXiv:1712.06541v52017
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
Xingjian Leng, Jaskirat Singh, Yunzhong Hou +3
cs.CVcs.LGarXiv:2504.10483v32025
Distributed Observers Design for Leader-Following Control of Multi-Agent Networks (Extended Version)
Yiguang Hong, Guanrong Chen, Linda Bushnell
math.OCarXiv:1801.00258v12017
Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin, Cong Zhao, Wei Pan
cs.LGstat.MLarXiv:1711.11294v12017
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
Emmanuel de Bezenac, Arthur Pajot, Patrick Gallinari
cs.AIcs.LGstat.MLarXiv:1711.07970v22017
Weakly-Supervised Neural Text Classification
Yu Meng, Jiaming Shen, Chao Zhang +1
cs.IRcs.CLcs.LGarXiv:1809.01478v22018
Quaternion kinematics for the error-state Kalman filter
Joan Solà
cs.ROarXiv:1711.02508v12017
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
Chris Donahue, Bo Li, Rohit Prabhavalkar
cs.SDcs.LGcs.NEarXiv:1711.05747v22017
The PseudoDojo: Training and grading a 85 element optimized norm-conserving pseudopotential table
M. J. van Setten, M. Giantomassi, E. Bousquet +4
cond-mat.mtrl-sciarXiv:1710.10138v22017
The Implicit Bias of Gradient Descent on Separable Data
Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson +2
stat.MLcs.LGarXiv:1710.10345v72017
Overlap in Observational Studies with High-Dimensional Covariates
Alexander D'Amour, Peng Ding, Avi Feller +2
math.STarXiv:1711.02582v42017
$Q$- and $A$-Learning Methods for Estimating Optimal Dynamic Treatment Regimes
Phillip J. Schulte, Anastasios A. Tsiatis, Eric B. Laber +1
stat.MEcs.AIarXiv:1202.4177v32012
Mitigating Adversarial Effects Through Randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang +2
cs.CVarXiv:1711.01991v32017
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation
M. G. B. Blum, M. A. Nunes, D. Prangle +1
stat.MEstat.COarXiv:1202.3819v32012
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante +8
cs.CVcs.AIcs.LGarXiv:1711.01468v12017
Self-Normalizing Neural Networks
Günter Klambauer, Thomas Unterthiner, Andreas Mayr +1
cs.LGstat.MLarXiv:1706.02515v52017
When Should You Adjust Standard Errors for Clustering?
Alberto Abadie, Susan Athey, Guido Imbens +1
math.STecon.EMarXiv:1710.02926v42017
A Case Study Competition Among Methods for Analyzing Large Spatial Data
Matthew J. Heaton, Abhirup Datta, Andrew Finley +10
stat.MEarXiv:1710.05013v22017
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Emmanuel Abbe, Jianqing Fan, Kaizheng Wang +1
math.STmath.PRarXiv:1709.09565v22017
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
cs.CVcs.AIcs.LGarXiv:1710.05381v22017
Deep Bilateral Learning for Real-Time Image Enhancement
Michaël Gharbi, Jiawen Chen, Jonathan T. Barron +2
cs.GRcs.CVarXiv:1707.02880v22017
Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization
Yang Wang, Lin Wu
cs.CVarXiv:1709.01212v32017
Multi-task Self-Supervised Visual Learning
Carl Doersch, Andrew Zisserman
cs.CVarXiv:1708.07860v12017
A Tutorial on Thompson Sampling
Daniel Russo, Benjamin Van Roy, Abbas Kazerouni +2
cs.LGarXiv:1707.02038v32017
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics
Linfeng Zhang, Jiequn Han, Han Wang +2
physics.comp-phcs.LGphysics.chem-pharXiv:1707.09571v22017
Adaptive Huber Regression
Qiang Sun, Wenxin Zhou, Jianqing Fan
math.STstat.MEarXiv:1706.06991v22017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang, Yixuan Li, R. Srikant
cs.LGstat.MLarXiv:1706.02690v52017
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
Balázs Hidasi, Alexandros Karatzoglou
cs.LGarXiv:1706.03847v32017
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform
Thai T. Pham, Yuanyuan Shen
stat.MLcs.IRcs.LGarXiv:1706.02795v12017
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern +2
stat.MLcs.LGarXiv:1705.08292v22017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
Wei Wen, Cong Xu, Feng Yan +4
cs.LGcs.DCcs.NEarXiv:1705.07878v62017
Information Transmission using the Nonlinear Fourier Transform, Part I: Mathematical Tools
Mansoor I. Yousefi, Frank R. Kschischang
cs.ITarXiv:1202.3653v32012
A New Approach to Practical Active-Secure Two-Party Computation
Jesper Buus Nielsen, Peter Sebastian Nordholt, Claudio Orlandi +1
cs.CRarXiv:1202.3052v12012
Hierarchical Clustering: Objective Functions and Algorithms
Vincent Cohen-Addad, Varun Kanade, Frederik Mallmann-Trenn +1
cs.DScs.LGarXiv:1704.02147v12017
Safe and Nested Subgame Solving for Imperfect-Information Games
Noam Brown, Tuomas Sandholm
cs.AIcs.GTarXiv:1705.02955v32017
Implementing a distance-based classifier with a quantum interference circuit
Maria Schuld, Mark Fingerhuth, Francesco Petruccione
quant-pharXiv:1703.10793v22017
Fairness in Criminal Justice Risk Assessments: The State of the Art
Richard A. Berk, Hoda Heidari, Shahin Jabbari +2
stat.MLarXiv:1703.09207v22017
Minimax Regret Bounds for Reinforcement Learning
Mohammad Gheshlaghi Azar, Ian Osband, Rémi Munos
stat.MLcs.AIcs.LGarXiv:1703.05449v22017
Tensor SVD: Statistical and Computational Limits
Anru Zhang, Dong Xia
math.STcs.LGstat.MEarXiv:1703.02724v42017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks
Peter L. Bartlett, Nick Harvey, Chris Liaw +1
cs.LGarXiv:1703.02930v32017
Optimal Linear Codes with a Local-Error-Correction Property
N. Prakash, Govinda M. Kamath, V. Lalitha +1
cs.ITarXiv:1202.2414v12012
Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora, Rong Ge, Tengyu Ma +1
cs.LGcs.DScs.NEarXiv:1503.00778v12015
Being Robust (in High Dimensions) Can Be Practical
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane +3
cs.LGcs.DScs.ITarXiv:1703.00893v42017
Autoencoding Variational Inference For Topic Models
Akash Srivastava, Charles Sutton
stat.MLarXiv:1703.01488v12017
How to Escape Saddle Points Efficiently
Chi Jin, Rong Ge, Praneeth Netrapalli +2
cs.LGmath.OCstat.MLarXiv:1703.00887v12017
Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)
Wen Li, Ying Zhang, Yifang Sun +3
cs.DBarXiv:1610.02455v12016
Controlling edge dynamics in complex networks
Tamás Nepusz, Tamás Vicsek
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1112.5945v12011
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora, Rong Ge, Yingyu Liang +2
cs.LGcs.NEstat.MLarXiv:1703.00573v52017

Every paper with a summary

Fairness of Exposure in Rankings

A Survey on the Security of Blockchain Systems

Sparsity in multiple kernel learning

Mean Field Multi-Agent Reinforcement Learning

PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition

Optimal approximation of continuous functions by very deep ReLU networks

Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification

Reasoning with Latent Thoughts: On the Power of Looped Transformers

Demystifying MMD GANs

BestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning

Scale-free networks are rare

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

Size-Independent Sample Complexity of Neural Networks

REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers

Distributed Observers Design for Leader-Following Control of Multi-Agent Networks (Extended Version)

Towards Accurate Binary Convolutional Neural Network

Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

Weakly-Supervised Neural Text Classification

Quaternion kinematics for the error-state Kalman filter

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition

The PseudoDojo: Training and grading a 85 element optimized norm-conserving pseudopotential table

The Implicit Bias of Gradient Descent on Separable Data

Overlap in Observational Studies with High-Dimensional Covariates

$Q$- and $A$-Learning Methods for Estimating Optimal Dynamic Treatment Regimes

Mitigating Adversarial Effects Through Randomization

A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Self-Normalizing Neural Networks

When Should You Adjust Standard Errors for Clustering?

A Case Study Competition Among Methods for Analyzing Large Spatial Data

Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank

A systematic study of the class imbalance problem in convolutional neural networks

Deep Bilateral Learning for Real-Time Image Enhancement

Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization

Multi-task Self-Supervised Visual Learning

A Tutorial on Thompson Sampling

Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics

Adaptive Huber Regression

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform

The Marginal Value of Adaptive Gradient Methods in Machine Learning

TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning

Information Transmission using the Nonlinear Fourier Transform, Part I: Mathematical Tools

A New Approach to Practical Active-Secure Two-Party Computation

Hierarchical Clustering: Objective Functions and Algorithms

Safe and Nested Subgame Solving for Imperfect-Information Games

Implementing a distance-based classifier with a quantum interference circuit

Fairness in Criminal Justice Risk Assessments: The State of the Art

Minimax Regret Bounds for Reinforcement Learning

Tensor SVD: Statistical and Computational Limits

Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks

Optimal Linear Codes with a Local-Error-Correction Property

Simple, Efficient, and Neural Algorithms for Sparse Coding

Being Robust (in High Dimensions) Can Be Practical

Autoencoding Variational Inference For Topic Models

How to Escape Saddle Points Efficiently

Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)

Controlling edge dynamics in complex networks

Generalization and Equilibrium in Generative Adversarial Nets (GANs)