Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. 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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13,501 to 13,560 of 20,219

Common Geodesics Do Not Guarantee Fisher Consistency of the Structured SVM: Minimal Counterexamples and a Tree-Metric Classification
Jintao Fei, Jiangying Luo
cs.LGarXiv:2608.27203v12026
Towards better decoding and language model integration in sequence to sequence models
Jan Chorowski, Navdeep Jaitly
cs.NEcs.CLcs.LGarXiv:1612.02695v12016
On the Apparent Conflict Between Individual and Group Fairness
Reuben Binns
cs.LGcs.CYstat.MLarXiv:1912.06883v12019
Domain-Specific Self-Supervised Representation Learning for Retinal Fundus Classification
Bekzat Nurlanbekova, Fung Fung Ting
cs.CVcs.LGarXiv:2608.26686v12026
FairGAN: Fairness-aware Generative Adversarial Networks
Depeng Xu, Shuhan Yuan, Lu Zhang +1
cs.LGcs.CYstat.MLarXiv:1805.11202v12018
pix2code: Generating Code from a Graphical User Interface Screenshot
Tony Beltramelli
cs.LGcs.AIcs.CLarXiv:1705.07962v22017
SAGE: Variate-Wise Semantic Augmentation for Vision-Language Time Series Forecasting
Haizhao Fan, Xinyi Le
cs.LGcs.CVarXiv:2608.26829v12026
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
Ying Zhang, Mohammad Pezeshki, Philemon Brakel +3
cs.CLcs.LGstat.MLarXiv:1701.02720v12017
Information Leakage in Embedding Models
Congzheng Song, Ananth Raghunathan
cs.LGcs.CLcs.CRarXiv:2004.00053v22020
The Why and How of Nonnegative Matrix Factorization
Nicolas Gillis
stat.MLcs.IRcs.LGarXiv:1401.5226v22014
Tabular Deep Learning for Algorithmic Trading: Cross-Regime Bayesian Optimisation for Equity Signal Generation
Joshua Le Grice
cs.LGq-fin.CPq-fin.TRarXiv:2608.27076v12026
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
Wenxiao Wang, Lu Yao, Long Chen +4
cs.CVcs.LGarXiv:2108.00154v22021
ARCH: Animatable Reconstruction of Clothed Humans
Zeng Huang, Yuanlu Xu, Christoph Lassner +2
cs.GRcs.CVcs.LGarXiv:2004.04572v22020
Disentangling Optimization Scale from Preference Scale in DPO
Ivan Kruzhilov
cs.LGarXiv:2608.27032v12026
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting
Hippolyt Ritter, Aleksandar Botev, David Barber
stat.MLcs.LGarXiv:1805.07810v12018
Multiple Futures Prediction
Yichuan Charlie Tang, Ruslan Salakhutdinov
cs.LGcs.CVcs.MAarXiv:1911.00997v22019
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov, Maxwell D. Collins, Yukun Zhu +4
cs.CVcs.LGarXiv:1612.02297v22016
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources
Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
cs.LGcs.AIcs.CVarXiv:2201.01003v12022
ClusterAttention: A training-free speedup of bidirectional attention
Kasper Nordenram, Amelie Dittmann
cs.LGcs.CVarXiv:2608.26965v12026
Permutation Invariant Graph Generation via Score-Based Generative Modeling
Chenhao Niu, Yang Song, Jiaming Song +3
cs.LGstat.MLarXiv:2003.00638v12020
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang, Zhiwu Huang, Xiaopeng Hong
cs.CVcs.LGarXiv:2207.12819v22022
A Layer Importance Metric for Quantization Accounting for the Speed-Quality Trade-off in Autoregressive Models
Artem Safronov
cs.LGarXiv:2608.26926v12026
Gradient Matching for Domain Generalization
Yuge Shi, Jeffrey Seely, Philip H. S. Torr +4
cs.LGstat.MLarXiv:2104.09937v32021
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
Xiangyi Chen, Sijia Liu, Ruoyu Sun +1
cs.LGmath.OCstat.MLarXiv:1808.02941v22018
Beyond Client Averaging: A Client-Independent Second-Order Stationary-Bias Component in Stochastic SCAFFOLD
Yi-Ping Tang, Guan-Ju Peng
cs.LGmath.STarXiv:2608.26765v12026
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach
Aryan Mokhtari, Asuman Ozdaglar, Sarath Pattathil
math.OCcs.LGstat.MLarXiv:1901.08511v42019
Exploring the Landscape of Spatial Robustness
Logan Engstrom, Brandon Tran, Dimitris Tsipras +2
cs.LGcs.CVcs.NEarXiv:1712.02779v42017
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager, David Madras, Jörn-Henrik Jacobsen +4
cs.LGcs.AIstat.MLarXiv:1906.02589v12019
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
Sohei Itahara, Takayuki Nishio, Yusuke Koda +2
cs.DCcs.LGarXiv:2008.06180v22020
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang, Jie Chen, Jinbo Bi
cs.LGstat.MLarXiv:2101.06861v32021
Attention-based Graph Neural Network for Semi-supervised Learning
Kiran K. Thekumparampil, Chong Wang, Sewoong Oh +1
stat.MLcs.AIcs.LGarXiv:1803.03735v12018
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt +1
cs.LGmath.OCstat.MLarXiv:1207.4747v42012
Why ResNet Works? Residuals Generalize
Fengxiang He, Tongliang Liu, Dacheng Tao
stat.MLcs.LGarXiv:1904.01367v12019
Enhanced Membership Inference Attacks against Machine Learning Models
Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda +2
cs.LGcs.CRstat.MLarXiv:2111.09679v42021
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
Ruigang Fu, Qingyong Hu, Xiaohu Dong +3
cs.CVcs.AIcs.LGarXiv:2008.02312v42020
Identifying Mislabeled Data using the Area Under the Margin Ranking
Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg +1
cs.LGcs.CVstat.MLarXiv:2001.10528v42020
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin +1
cs.LGstat.MLarXiv:1809.03627v22018
Learning to Remember Rare Events
Łukasz Kaiser, Ofir Nachum, Aurko Roy +1
cs.LGarXiv:1703.03129v12017
Generalization Properties of Learning with Random Features
Alessandro Rudi, Lorenzo Rosasco
stat.MLcs.LGarXiv:1602.04474v52016
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?
Junghwan Cho, Kyewook Lee, Ellie Shin +2
cs.LGcs.CVcs.NEarXiv:1511.06348v22015
Rethinking Transformer-based Set Prediction for Object Detection
Zhiqing Sun, Shengcao Cao, Yiming Yang +1
cs.CVcs.LGarXiv:2011.10881v22020
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss
Lenaic Chizat, Francis Bach
math.OCcs.LGstat.MLarXiv:2002.04486v42020
An approach to reachability analysis for feed-forward ReLU neural networks
Alessio Lomuscio, Lalit Maganti
cs.AIcs.LGcs.LOarXiv:1706.07351v12017
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier +1
cs.CLcs.IRcs.LGarXiv:1603.06679v32016
Discrimination in the Age of Algorithms
Jon Kleinberg, Jens Ludwig, Sendhil Mullainathan +1
cs.CYcs.AIcs.LGarXiv:1902.03731v12019
Nonlinear Transform Source-Channel Coding for Semantic Communications
Jincheng Dai, Sixian Wang, Kailin Tan +4
cs.ITcs.CVcs.LGarXiv:2112.10961v32021
GRAS: Guided Reduced-Variance Proposals and Adaptive Selection for Training-Free Reward Alignment in Discrete Diffusion
Kwanyoung Kim
cs.LGcs.CEq-bio.QMarXiv:2608.26585v12026
catch22: CAnonical Time-series CHaracteristics
Carl H Lubba, Sarab S Sethi, Philip Knaute +3
cs.IRcs.LGstat.MLarXiv:1901.10200v22019
Neural Topological SLAM for Visual Navigation
Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta +1
cs.CVcs.AIcs.LGarXiv:2005.12256v22020
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Christoph Baur, Stefan Denner, Benedikt Wiestler +2
eess.IVcs.CVcs.LGarXiv:2004.03271v22020
FoldPipe: Bounded Remote Streaming of Native Molecular Shards with Asynchronous Prefetch
Dhiren Mukesh Khatri
cs.PFcs.LGarXiv:2608.27029v12026
Cross-Lingual Ability of Multilingual BERT: An Empirical Study
Karthikeyan K, Zihan Wang, Stephen Mayhew +1
cs.CLcs.AIcs.LGarXiv:1912.07840v22019
When Is the Sharp Covariance Envelope Tight? Feature-Only Geometry for Volume-Sampled Least Squares
Kihun Rhee
cs.LGstat.MLarXiv:2608.26877v12026
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott +2
cs.CVcs.AIcs.LGarXiv:2003.00827v22020
How good is my GAN?
Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari
cs.CVcs.LGarXiv:1807.09499v12018
Cross-Layer Distillation with Semantic Calibration
Defang Chen, Jian-Ping Mei, Yuan Zhang +3
cs.CVcs.AIcs.LGarXiv:2012.03236v22020
A Unified Descriptive-Complexity Framework for Model Selection under Correlated Designs
Yanhang Zhang, Wei Liu, Yuhong Yang
stat.MLcs.LGarXiv:2608.26618v12026
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
Haw-Shiuan Chang, Erik Learned-Miller, Andrew McCallum
stat.MLcs.LGarXiv:1704.07433v42017
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
Gregory P. Meyer, Ankit Laddha, Eric Kee +2
cs.CVcs.LGcs.ROarXiv:1903.08701v12019
On the Convergence and Robustness of Adversarial Training
Yisen Wang, Xingjun Ma, James Bailey +3
cs.LGarXiv:2112.08304v22021

Machine Learning

Common Geodesics Do Not Guarantee Fisher Consistency of the Structured SVM: Minimal Counterexamples and a Tree-Metric Classification

Towards better decoding and language model integration in sequence to sequence models

On the Apparent Conflict Between Individual and Group Fairness

Domain-Specific Self-Supervised Representation Learning for Retinal Fundus Classification

FairGAN: Fairness-aware Generative Adversarial Networks

pix2code: Generating Code from a Graphical User Interface Screenshot

SAGE: Variate-Wise Semantic Augmentation for Vision-Language Time Series Forecasting

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Information Leakage in Embedding Models

The Why and How of Nonnegative Matrix Factorization

Tabular Deep Learning for Algorithmic Trading: Cross-Regime Bayesian Optimisation for Equity Signal Generation

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

ARCH: Animatable Reconstruction of Clothed Humans

Disentangling Optimization Scale from Preference Scale in DPO

Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting

Multiple Futures Prediction

Spatially Adaptive Computation Time for Residual Networks

Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources

ClusterAttention: A training-free speedup of bidirectional attention

Permutation Invariant Graph Generation via Score-Based Generative Modeling

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

A Layer Importance Metric for Quantization Accounting for the Speed-Quality Trade-off in Autoregressive Models

Gradient Matching for Domain Generalization

On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization

Beyond Client Averaging: A Client-Independent Second-Order Stationary-Bias Component in Stochastic SCAFFOLD

A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach

Exploring the Landscape of Spatial Robustness

Flexibly Fair Representation Learning by Disentanglement

Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data

Discrete Graph Structure Learning for Forecasting Multiple Time Series

Attention-based Graph Neural Network for Semi-supervised Learning

Block-Coordinate Frank-Wolfe Optimization for Structural SVMs

Why ResNet Works? Residuals Generalize

Enhanced Membership Inference Attacks against Machine Learning Models

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

Identifying Mislabeled Data using the Area Under the Margin Ranking

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

Learning to Remember Rare Events

Generalization Properties of Learning with Random Features

How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Rethinking Transformer-based Set Prediction for Object Detection

Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss

An approach to reachability analysis for feed-forward ReLU neural networks

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis

Discrimination in the Age of Algorithms

Nonlinear Transform Source-Channel Coding for Semantic Communications

GRAS: Guided Reduced-Variance Proposals and Adaptive Selection for Training-Free Reward Alignment in Discrete Diffusion

catch22: CAnonical Time-series CHaracteristics

Neural Topological SLAM for Visual Navigation

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

FoldPipe: Bounded Remote Streaming of Native Molecular Shards with Asynchronous Prefetch

Cross-Lingual Ability of Multilingual BERT: An Empirical Study

When Is the Sharp Covariance Envelope Tight? Feature-Only Geometry for Volume-Sampled Least Squares

CheXclusion: Fairness gaps in deep chest X-ray classifiers

How good is my GAN?

Cross-Layer Distillation with Semantic Calibration

A Unified Descriptive-Complexity Framework for Model Selection under Correlated Designs

Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving

On the Convergence and Robustness of Adversarial Training