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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3,541 to 3,600 of 20,192

Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
cs.LGcs.AIstat.MLarXiv:2009.01721v22020
SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models
Cheng Yin, Wang Xu, Junpeng Yang +8
cs.CVcs.LGcs.ROarXiv:2609.05533v12026
Federated Unsupervised Representation Learning
Fengda Zhang, Kun Kuang, Zhaoyang You +6
cs.LGcs.AIarXiv:2010.08982v12020
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji +3
cs.LGcs.AIcs.CVarXiv:2101.08482v22021
Actor-Critic Reinforcement Learning for Control with Stability Guarantee
Minghao Han, Lixian Zhang, Jun Wang +1
cs.ROcs.LGeess.SYarXiv:2004.14288v32020
Scaling the Scattering Transform: Deep Hybrid Networks
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko
cs.CVcs.LGarXiv:1703.08961v22017
Finite Sample Analysis of Stochastic System Identification
Anastasios Tsiamis, George J. Pappas
cs.LGeess.SYmath.OCarXiv:1903.09122v12019
Deepcode: Feedback Codes via Deep Learning
Hyeji Kim, Yihan Jiang, Sreeram Kannan +2
cs.LGcs.ITstat.MLarXiv:1807.00801v12018
RES: Regularized Stochastic BFGS Algorithm
Aryan Mokhtari, Alejandro Ribeiro
cs.LGmath.OCstat.MLarXiv:1401.7625v12014
Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach
Giacomo Rizzieri, Saif-Ur-Rehman, Jörg F. Unger +1
cs.CEcs.AIcs.LGarXiv:2609.04028v12026
Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?
Jieshan Chen, Mulong Xie, Zhenchang Xing +4
cs.CVcs.HCcs.LGarXiv:2008.05132v22020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Ren Wang, Gaoyuan Zhang, Sijia Liu +3
cs.LGcs.CRstat.MLarXiv:2007.15802v12020
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Sriyash Poddar, Yanming Wan, Hamish Ivison +2
cs.LGcs.AIcs.CLarXiv:2408.10075v12024
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang, Eric Zelikman, Gabriel Poesia +3
cs.LGcs.AIcs.CLarXiv:2309.05660v22023
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
Allan Raventós, Mansheej Paul, Feng Chen +1
cs.LGcs.AIcs.CLarXiv:2306.15063v22023
Resiliency of Deep Neural Networks under Quantization
Wonyong Sung, Sungho Shin, Kyuyeon Hwang
cs.LGcs.NEarXiv:1511.06488v32015
Subspace Inference Enables Efficient Active Reward Learning from Preferences
Yutai Zhou, Erdem Bıyık
cs.LGcs.AIcs.ROarXiv:2609.04066v12026
Deep Attention Recurrent Q-Network
Ivan Sorokin, Alexey Seleznev, Mikhail Pavlov +2
cs.LGarXiv:1512.01693v12015
Conservative Safety Critics for Exploration
Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart +3
cs.LGcs.AIcs.ROarXiv:2010.14497v22020
KoDF: A Large-scale Korean DeepFake Detection Dataset
Patrick Kwon, Jaeseong You, Gyuhyeon Nam +2
cs.CVcs.LGarXiv:2103.10094v22021
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
Sambhav R. Jain, Albert Gural, Michael Wu +1
cs.CVcs.AIcs.LGarXiv:1903.08066v32019
Score-based Continuous-time Discrete Diffusion Models
Haoran Sun, Lijun Yu, Bo Dai +2
cs.LGarXiv:2211.16750v22022
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
Zhenguang Liu, Peng Qian, Xiang Wang +3
cs.LGcs.PLarXiv:2106.09282v12021
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent
Eduard Gorbunov, Filip Hanzely, Peter Richtárik
math.OCcs.LGmath.NAarXiv:1905.11261v12019
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer
Urchade Zaratiana, Nadi Tomeh, Pierre Holat +1
cs.CLcs.AIcs.LGarXiv:2311.08526v12023
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Yugeng Liu, Rui Wen, Xinlei He +6
cs.CRcs.AIcs.LGarXiv:2102.02551v22021
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan, Thorsten Joachims
cs.LGstat.MLarXiv:1502.02362v22015
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Wen Zhang, Dongrui Wu
cs.HCcs.LGarXiv:1910.05878v22019
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Cheng Lu, Huayu Chen, Jianfei Chen +3
cs.LGarXiv:2304.12824v22023
Increasing the Action Gap: New Operators for Reinforcement Learning
Marc G. Bellemare, Georg Ostrovski, Arthur Guez +2
cs.AIcs.LGarXiv:1512.04860v12015
RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting
Yuchen He, Yueyang Cang, Zhiyuan Ning +2
cs.LGcs.AIarXiv:2609.03937v12026
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Tung Nguyen, Aditya Grover
cs.LGcs.AIarXiv:2207.04179v22022
FedLab: A Flexible Federated Learning Framework
Dun Zeng, Siqi Liang, Xiangjing Hu +2
cs.LGcs.AIarXiv:2107.11621v42021
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
Eduard Gorbunov, Marina Danilova, Alexander Gasnikov
math.OCcs.LGarXiv:2005.10785v22020
Continuously Differentiable Exponential Linear Units
Jonathan T. Barron
cs.LGarXiv:1704.07483v12017
RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting
Tomas Guija-Valiente, Blanca Rodriguez-Gonzalez, Norberto Malpica +1
cs.CVcs.AIcs.LGarXiv:2609.03956v12026
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Anselm Paulus, Arman Zharmagambetov, Chuan Guo +2
cs.CRcs.AIcs.CLarXiv:2404.16873v22024
Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO
Hyun Bin Park, Du-Seong Chang
cs.LGcs.AIcs.CLarXiv:2609.03941v12026
Maximum-Entropy Fine-Grained Classification
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar +1
cs.CVcs.LGarXiv:1809.05934v22018
The probability flow ODE is provably fast
Sitan Chen, Sinho Chewi, Holden Lee +3
cs.LGmath.STstat.MLarXiv:2305.11798v12023
Fast $ε$-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios, Iain Murray
stat.MLcs.LGstat.COarXiv:1605.06376v42016
Heterogeneous Risk Minimization
Jiashuo Liu, Zheyuan Hu, Peng Cui +2
cs.LGarXiv:2105.03818v32021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Jungbeom Lee, Jooyoung Choi, Jisoo Mok +1
cs.CVcs.LGarXiv:2110.06530v12021
Towards Debiasing NLU Models from Unknown Biases
Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych
cs.CLcs.AIcs.LGarXiv:2009.12303v42020
Speech Emotion Recognition using Self-Supervised Features
Edmilson Morais, Ron Hoory, Weizhong Zhu +3
cs.SDcs.AIcs.LGarXiv:2202.03896v12022
Pre-training via Denoising for Molecular Property Prediction
Sheheryar Zaidi, Michael Schaarschmidt, James Martens +6
cs.LGq-bio.BMstat.MLarXiv:2206.00133v22022
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
Donghan Yu, Sheng Zhang, Patrick Ng +7
cs.CLcs.AIcs.LGarXiv:2210.00063v22022
Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data
Lamine Diop, Marc Plantevit
cs.LGcs.AIarXiv:2609.03878v12026
Witnesses Explain Anomalies
Lamine Diop
cs.LGcs.AIarXiv:2609.03826v12026
GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
Taha Aksu, Gerald Woo, Juncheng Liu +5
cs.LGstat.MLarXiv:2410.10393v22024
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations
Ahmad Darkhalil, Dandan Shan, Bin Zhu +6
cs.CVcs.AIcs.LGarXiv:2209.13064v12022
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units
Yujeong Choi, Minsoo Rhu
cs.DCcs.LGcs.NEarXiv:1909.04548v12019
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Xiaobo Qu, Yihui Huang, Hengfa Lu +5
physics.med-phcs.AIcs.LGarXiv:1904.05168v22019
Personalized and Private Peer-to-Peer Machine Learning
Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki +1
cs.LGcs.CRcs.DCarXiv:1705.08435v22017
Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning
Oussama Hidaoui, Omer Ebead, Ulrich Armel Mbou Sob +14
cs.LGcs.AIarXiv:2609.03667v12026
Deep Clustering and Conventional Networks for Music Separation: Stronger Together
Yi Luo, Zhuo Chen, John R. Hershey +2
stat.MLcs.LGcs.SDarXiv:1611.06265v22016
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Angels Balaguer, Vinamra Benara, Renato Luiz de Freitas Cunha +13
cs.CLcs.LGarXiv:2401.08406v32024
Almost Free State Prediction Separation
John Langford, Nathan Godey, Giovanni Monea +5
cs.LGcs.AIarXiv:2609.03807v22026
Broadcasted Residual Learning for Efficient Keyword Spotting
Byeonggeun Kim, Simyung Chang, Jinkyu Lee +1
cs.SDcs.LGeess.ASarXiv:2106.04140v42021
Olmo Hybrid: From Theory to Practice and Back
William Merrill, Yanhong Li, Tyler Romero +19
cs.LGcs.CLarXiv:2604.03444v42026

Machine Learning

Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints

SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models

Federated Unsupervised Representation Learning

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning

Actor-Critic Reinforcement Learning for Control with Stability Guarantee

Scaling the Scattering Transform: Deep Hybrid Networks

Finite Sample Analysis of Stochastic System Identification

Deepcode: Feedback Codes via Deep Learning

RES: Regularized Stochastic BFGS Algorithm

Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach

Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?

Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Hypothesis Search: Inductive Reasoning with Language Models

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

Resiliency of Deep Neural Networks under Quantization

Subspace Inference Enables Efficient Active Reward Learning from Preferences

Deep Attention Recurrent Q-Network

Conservative Safety Critics for Exploration

KoDF: A Large-scale Korean DeepFake Detection Dataset

Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks

Score-based Continuous-time Discrete Diffusion Models

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent

GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Counterfactual Risk Minimization: Learning from Logged Bandit Feedback

Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

Increasing the Action Gap: New Operators for Reinforcement Learning

RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting

Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

FedLab: A Flexible Federated Learning Framework

Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping

Continuously Differentiable Exponential Linear Units

RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO

Maximum-Entropy Fine-Grained Classification

The probability flow ODE is provably fast

Fast $ε$-free Inference of Simulation Models with Bayesian Conditional Density Estimation

Heterogeneous Risk Minimization

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

Towards Debiasing NLU Models from Unknown Biases

Speech Emotion Recognition using Self-Supervised Features

Pre-training via Denoising for Molecular Property Prediction

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases

Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data

Witnesses Explain Anomalies

GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations

PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units

Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning

Personalized and Private Peer-to-Peer Machine Learning

Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning

Deep Clustering and Conventional Networks for Music Separation: Stronger Together

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Almost Free State Prediction Separation

Broadcasted Residual Learning for Efficient Keyword Spotting

Olmo Hybrid: From Theory to Practice and Back