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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14,041 to 14,100 of 20,193

Understanding Measures of Uncertainty for Adversarial Example Detection
Lewis Smith, Yarin Gal
stat.MLcs.LGarXiv:1803.08533v12018
The Benefit of Multitask Representation Learning
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
stat.MLcs.LGarXiv:1505.06279v22015
LLMs Can Design Near-Optimal OR Algorithms
Jackie Baek
cs.AIcs.LGarXiv:2608.27296v12026
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh N. Vu, My T. Thai
cs.LGarXiv:2010.05788v12020
Joint Embedding of Words and Labels for Text Classification
Guoyin Wang, Chunyuan Li, Wenlin Wang +5
cs.CLcs.LGarXiv:1805.04174v12018
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
Jungmin Kwon, Jeongseop Kim, Hyunseo Park +1
cs.LGstat.MLarXiv:2102.11600v32021
TRACE-CRC: Trajectory-Adaptive Conformal Risk Control for Multi-Step Channel State Information Prediction
Kiarash Rezaei, Mehdi Sattari, Javad Aliakbari +3
cs.LGstat.MLarXiv:2608.27124v12026
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions
Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi +5
cs.CRcs.LGarXiv:2106.09527v12021
GANSynth: Adversarial Neural Audio Synthesis
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen +3
cs.SDcs.LGeess.ASarXiv:1902.08710v22019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal, Dhruv Mahajan, Abhinav Gupta +1
cs.CVcs.AIcs.LGarXiv:1905.01235v22019
Multi-Instance Multi-Label Learning
Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang +1
cs.LGcs.AIarXiv:0808.3231v42008
Learning graphs from data: A signal representation perspective
Xiaowen Dong, Dorina Thanou, Michael Rabbat +1
cs.LGcs.SIstat.MLarXiv:1806.00848v32018
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang +9
cs.CLcs.LGarXiv:2407.02490v22024
Continual learning with hypernetworks
Johannes von Oswald, Christian Henning, Benjamin F. Grewe +1
cs.LGcs.AIstat.MLarXiv:1906.00695v42019
Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
Yiming Cui, Ziqing Yang, Xin Yao
cs.CLcs.HCcs.LGarXiv:2304.08177v32023
Graph-Based Pseudo-multimodal Contrastive Learning for 12-Lead ECG Representations
Mengyu Wang, Kozo Okada, Takafumi Goto +4
cs.LGarXiv:2608.26964v12026
Optimization, Learning, and Games with Predictable Sequences
Alexander Rakhlin, Karthik Sridharan
cs.LGcs.GTarXiv:1311.1869v12013
Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approach
Elena Badillo-Goicoechea, Fengfeng He
stat.MLcs.LGarXiv:2608.27291v12026
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan, Jinjun Xiong, Mengzhou Li +1
cs.LGcs.AIstat.MLarXiv:2001.02522v42020
Quantum reinforcement learning
Daoyi Dong, Chunlin Chen, Hanxiong Li +1
quant-phcs.AIcs.LGarXiv:0810.3828v12008
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip Pope, Chen Zhu, Ahmed Abdelkader +2
cs.CVcs.LGstat.MLarXiv:2104.08894v12021
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
Wentao Zhu, Chaochun Liu, Wei Fan +1
cs.CVcs.LGcs.NEarXiv:1801.09555v12018
Gradient Estimation Using Stochastic Computation Graphs
John Schulman, Nicolas Heess, Theophane Weber +1
cs.LGarXiv:1506.05254v32015
SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang +12
cs.CLcs.DCcs.LGarXiv:2305.09781v42023
Recurrent Highway Networks
Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutník +1
cs.LGcs.CLcs.NEarXiv:1607.03474v52016
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Andrew Ilyas, Logan Engstrom, Aleksander Madry
stat.MLcs.CRcs.LGarXiv:1807.07978v32018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
Yibo Yang, Paris Perdikaris
stat.MLcs.LGphysics.comp-pharXiv:1811.04026v12018
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
cs.HCcs.CVcs.IRarXiv:1907.11510v12019
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers, Nathanael Schärli, Nathan Scales +11
cs.LGcs.CLstat.MLarXiv:1912.09713v22019
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Motonobu Kanagawa, Philipp Hennig, Dino Sejdinovic +1
stat.MLcs.LGarXiv:1807.02582v12018
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
Abhishek Das, Satwik Kottur, José M. F. Moura +2
cs.CVcs.AIcs.CLarXiv:1703.06585v22017
Cone Extended Rayleigh Quotients for Directed Graph Learning: Minimax Spectral Certificates, Sensitivity, and Adaptive Control
Yavdat Sh. Il'yasov, Nur F. Valeev
cs.LGarXiv:2608.27122v12026
CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models
Zhihao Du, Yuxuan Wang, Qian Chen +16
cs.SDcs.AIcs.LGarXiv:2412.10117v32024
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang, Nan Song, Guosheng Lin +3
cs.CVcs.AIcs.LGarXiv:2104.03047v12021
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Ben Moseley, Andrew Markham, Tarje Nissen-Meyer
physics.comp-phcs.LGarXiv:2107.07871v12021
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira +2
cs.LGstat.MLarXiv:2004.05835v32020
Learning Improvement Heuristics for Solving Routing Problems
Yaoxin Wu, Wen Song, Zhiguang Cao +2
cs.AIcs.LGarXiv:1912.05784v22019
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye, Xin Lu, Zhe Lin +1
cs.LGarXiv:1802.00124v22018
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
Quan Wang, Hannah Muckenhirn, Kevin Wilson +7
eess.AScs.LGeess.SParXiv:1810.04826v62018
An Unsupervised Autoregressive Model for Speech Representation Learning
Yu-An Chung, Wei-Ning Hsu, Hao Tang +1
cs.CLcs.LGcs.SDarXiv:1904.03240v22019
Adversarial Personalized Ranking for Recommendation
Xiangnan He, Zhankui He, Xiaoyu Du +1
cs.IRcs.LGstat.MLarXiv:1808.03908v12018
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Yao Wan, Zhou Zhao, Min Yang +4
cs.SEcs.CLcs.LGarXiv:1811.07234v12018
Automated Website Fingerprinting through Deep Learning
Vera Rimmer, Davy Preuveneers, Marc Juarez +2
cs.CRcs.LGarXiv:1708.06376v22017
Reinforced Continual Learning
Ju Xu, Zhanxing Zhu
cs.LGcs.CVstat.MLarXiv:1805.12369v12018
Teaching Small Language Models to Reason
Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek +2
cs.CLcs.LGarXiv:2212.08410v32022
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
Qing Xu, Zhicheng Ma, Na HE +1
eess.IVcs.AIcs.CVarXiv:2202.00972v22022
SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag, Mung Chiang, Prateek Mittal
cs.CVcs.AIcs.LGarXiv:2103.12051v12021
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
Pinghua Gong, Changshui Zhang, Zhaosong Lu +2
cs.LGmath.NAstat.COarXiv:1303.4434v12013
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer, Ankesh Anand, Rishab Goel +3
cs.LGstat.MLarXiv:2007.05929v42020
A Finite Sample Analysis for Quantile Temporal Difference Learning in Distributional Reinforcement Learning
Zijie Cheng, Xiang Li, Yang Peng +1
stat.MLcs.LGarXiv:2608.27313v12026
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran, Mathilde Caron, Ishan Misra +6
cs.LGcs.AIcs.CVarXiv:2204.07141v12022
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
Haowen Deng, Tolga Birdal, Slobodan Ilic
cs.CVcs.CGcs.LGarXiv:1808.10322v12018
Adversarial Training Without Input Gradients via Low-Rank Householder Expansions
Tiana C. Johnson, Donsub Rim
cs.LGarXiv:2608.26963v12026
Language to Rewards for Robotic Skill Synthesis
Wenhao Yu, Nimrod Gileadi, Chuyuan Fu +17
cs.ROcs.AIcs.LGarXiv:2306.08647v22023
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee, Anusha Nagabandi, Pieter Abbeel +1
cs.LGcs.AIstat.MLarXiv:1907.00953v42019
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard, Jakob N. Foerster, Sarath Chandar +12
cs.LGcs.AIstat.MLarXiv:1902.00506v22019
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Francis Bach, Eric Moulines
cs.LGmath.OCstat.MLarXiv:1306.2119v12013
HALO: A Heterogeneity-Aware Language-Aligned IMU Foundation Model for Open-Set Human Activity Recognition
Zihan Ding, Liyu Zhang, Xiaomin Ouyang
cs.LGarXiv:2608.27233v12026
Universal Approximation with Deep Narrow Networks
Patrick Kidger, Terry Lyons
cs.LGmath.CAstat.MLarXiv:1905.08539v22019
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov +1
cs.CLcs.LGarXiv:1711.03953v42017

Machine Learning

Understanding Measures of Uncertainty for Adversarial Example Detection

The Benefit of Multitask Representation Learning

LLMs Can Design Near-Optimal OR Algorithms

PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks

Joint Embedding of Words and Labels for Text Classification

ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks

TRACE-CRC: Trajectory-Adaptive Conformal Risk Control for Multi-Step Channel State Information Prediction

Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions

GANSynth: Adversarial Neural Audio Synthesis

Scaling and Benchmarking Self-Supervised Visual Representation Learning

Multi-Instance Multi-Label Learning

Learning graphs from data: A signal representation perspective

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Continual learning with hypernetworks

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Graph-Based Pseudo-multimodal Contrastive Learning for 12-Lead ECG Representations

Optimization, Learning, and Games with Predictable Sequences

Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approach

On Interpretability of Artificial Neural Networks: A Survey

Quantum reinforcement learning

The Intrinsic Dimension of Images and Its Impact on Learning

DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

Gradient Estimation Using Stochastic Computation Graphs

SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

Recurrent Highway Networks

Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors

Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

Cone Extended Rayleigh Quotients for Directed Graph Learning: Minimax Spectral Certificates, Sensitivity, and Adaptive Control

CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

Few-Shot Incremental Learning with Continually Evolved Classifiers

Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

Learning Improvement Heuristics for Solving Routing Problems

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

An Unsupervised Autoregressive Model for Speech Representation Learning

Adversarial Personalized Ranking for Recommendation

Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Automated Website Fingerprinting through Deep Learning

Reinforced Continual Learning

Teaching Small Language Models to Reason

DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation

SSD: A Unified Framework for Self-Supervised Outlier Detection

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

Data-Efficient Reinforcement Learning with Self-Predictive Representations

A Finite Sample Analysis for Quantile Temporal Difference Learning in Distributional Reinforcement Learning

Masked Siamese Networks for Label-Efficient Learning

PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors

Adversarial Training Without Input Gradients via Low-Rank Householder Expansions

Language to Rewards for Robotic Skill Synthesis

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

The Hanabi Challenge: A New Frontier for AI Research

Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)

HALO: A Heterogeneity-Aware Language-Aligned IMU Foundation Model for Open-Set Human Activity Recognition

Universal Approximation with Deep Narrow Networks

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model