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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3,781 to 3,840 of 20,454

A survey on intrinsic motivation in reinforcement learning
Arthur Aubret, Laetitia Matignon, Salima Hassas
cs.LGcs.AIarXiv:1908.06976v22019
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation
Xiangyi Yan, Hao Tang, Shanlin Sun +3
eess.IVcs.CVcs.LGarXiv:2110.10403v12021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe, Ana Marasović
cs.CLcs.AIcs.LGarXiv:2102.12060v42021
Trojaning Language Models for Fun and Profit
Xinyang Zhang, Zheng Zhang, Shouling Ji +1
cs.CRcs.CLcs.LGarXiv:2008.00312v22020
BLEU might be Guilty but References are not Innocent
Markus Freitag, David Grangier, Isaac Caswell
cs.CLcs.AIcs.LGarXiv:2004.06063v22020
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
Yash Sharma, Aman Shrivastava, Lubaina Ehsan +3
eess.IVcs.CVcs.LGarXiv:2103.10626v22021
Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset
Dimitrios Kollias, Stefanos Zafeiriou
cs.LGcs.CVstat.MLarXiv:1910.01417v22019
Continual Pre-Training of Large Language Models: How to (re)warm your model?
Kshitij Gupta, Benjamin Thérien, Adam Ibrahim +5
cs.CLcs.LGarXiv:2308.04014v22023
Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics
Jiayang Xu, Karthik Duraisamy
physics.comp-phcs.LGphysics.flu-dynarXiv:1912.11114v22019
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen +4
cs.SDcs.LGcs.NEarXiv:2010.13309v22020
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks
Cristóbal Esteban, Oliver Staeck, Yinchong Yang +1
cs.LGcs.AIcs.NEarXiv:1602.02685v22016
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms
Christopher De Sa, Ce Zhang, Kunle Olukotun +1
cs.LGmath.OCstat.MLarXiv:1506.06438v22015
Summaries:한국어
Twin Contrastive Learning for Online Clustering
Yunfan Li, Mouxing Yang, Dezhong Peng +3
cs.LGarXiv:2210.11680v12022
Survey of Machine Learning Accelerators
Albert Reuther, Peter Michaleas, Michael Jones +3
cs.DCcs.LGarXiv:2009.00993v12020
Efficient Algorithms for Outlier-Robust Regression
Adam Klivans, Pravesh K. Kothari, Raghu Meka
cs.LGcs.AIcs.DSarXiv:1803.03241v32018
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities
Charlotte Bunne, Yusuf Roohani, Yanay Rosen +39
q-bio.QMcs.AIcs.LGarXiv:2409.11654v22024
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis
Weina Jin, Xiaoxiao Li, Mostafa Fatehi +1
cs.LGcs.AIcs.CVarXiv:2202.10553v32022
Stochastic Latent Residual Video Prediction
Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen +2
cs.CVcs.LGstat.MLarXiv:2002.09219v42020
Sequential Beats Joint: On the Interplay between On-Policy Distillation and RLVR
Boyan Li, Bingsen Chen, Chenghao Yang +3
cs.CLcs.AIcs.LGarXiv:2609.04108v22026
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Zelai Xu, Chao Yu, Fei Fang +2
cs.AIcs.LGcs.MAarXiv:2310.18940v42023
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches
Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin +2
eess.IVcs.CVcs.LGarXiv:2004.03747v32020
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry, Naeemullah Khan, Puneet K. Dokania +1
cs.LGarXiv:2010.11635v22020
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Zhuohan Li, Siyuan Zhuang, Shiyuan Guo +4
cs.LGcs.CLcs.DCarXiv:2102.07988v22021
Network Enhancement: a general method to denoise weighted biological networks
Bo Wang, Armin Pourshafeie, Marinka Zitnik +4
q-bio.MNcs.LGcs.SIarXiv:1805.03327v22018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu, Sijia Liu, Pu Zhao +6
cs.LGcs.AIstat.MLarXiv:1808.01664v32018
A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks
Shaohuai Shi, Qiang Wang, Kaiyong Zhao +4
cs.DCcs.LGarXiv:1901.04359v22019
Experiments of Federated Learning for COVID-19 Chest X-ray Images
Boyi Liu, Bingjie Yan, Yize Zhou +2
eess.IVcs.CVcs.LGarXiv:2007.05592v12020
MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies
Yair Weiss, Chen Yanover, Talya Meltzer
cs.AIcs.LGstat.MLarXiv:1206.5286v12012
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere +14
cs.NEcs.LGmath.NAarXiv:1802.00930v22018
Neural Network Attributions: A Causal Perspective
Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar +1
cs.LGstat.MLarXiv:1902.02302v42019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster, Francis Song, Edward Hughes +5
cs.MAcs.AIcs.LGarXiv:1811.01458v32018
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift
Moming Duan, Duo Liu, Xinyuan Ji +4
cs.LGcs.DCarXiv:2108.09749v12021
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
Jia Li, Yu Rong, Hong Cheng +3
cs.CVcs.LGarXiv:1904.05003v12019
PU Learning for Matrix Completion
Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon
cs.LGmath.NAstat.MLarXiv:1411.6081v12014
Deep Network Guided Proof Search
Sarah Loos, Geoffrey Irving, Christian Szegedy +1
cs.AIcs.LGcs.LOarXiv:1701.06972v12017
A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle
Gustavo Claudio Karl Couto, Eric Aislan Antonelo, Gabriel George Zipperer
cs.LGcs.AIcs.ROarXiv:2609.04147v12026
Learning to Understand Goal Specifications by Modelling Reward
Dzmitry Bahdanau, Felix Hill, Jan Leike +4
cs.AIcs.LGarXiv:1806.01946v42018
How Do Classifiers Induce Agents To Invest Effort Strategically?
Jon Kleinberg, Manish Raghavan
cs.LGcs.CYcs.DSarXiv:1807.05307v52018
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

Machine Learning

A survey on intrinsic motivation in reinforcement learning

AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation

Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing

Trojaning Language Models for Fun and Profit

BLEU might be Guilty but References are not Innocent

Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification

Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset

Continual Pre-Training of Large Language Models: How to (re)warm your model?

Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks

Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms

Twin Contrastive Learning for Online Clustering

Survey of Machine Learning Accelerators

Efficient Algorithms for Outlier-Robust Regression

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities

Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis

Stochastic Latent Residual Video Prediction

Sequential Beats Joint: On the Interplay between On-Policy Distillation and RLVR

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game

COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches

Continual Learning in Low-rank Orthogonal Subspaces

TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models

Network Enhancement: a general method to denoise weighted biological networks

Structured Adversarial Attack: Towards General Implementation and Better Interpretability

A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks

Experiments of Federated Learning for COVID-19 Chest X-ray Images

MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies

Mixed Precision Training of Convolutional Neural Networks using Integer Operations

Neural Network Attributions: A Causal Perspective

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

PU Learning for Matrix Completion

Deep Network Guided Proof Search

A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle

Learning to Understand Goal Specifications by Modelling Reward

How Do Classifiers Induce Agents To Invest Effort Strategically?

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