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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2,341 to 2,400 of 20,024

Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees
Guiliang Liu, Oliver Schulte, Wang Zhu +1
cs.LGstat.MLarXiv:1807.05887v12018
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey, Avideep Mukherjee, Piyush Rai +1
cs.LGcs.CVarXiv:2201.00308v32022
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
John D. Co-Reyes, YuXuan Liu, Abhishek Gupta +3
cs.LGcs.AIstat.MLarXiv:1806.02813v12018
EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network
Jian Cui, Zirui Lan, Olga Sourina +1
eess.SPcs.LGcs.NEarXiv:2107.09507v42021
Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts
Dohyeon Kim, Bedionita Soro, Sung Ju Hwang
cs.LGcs.AIcs.CLarXiv:2609.09241v12026
Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions
Ioannis Panageas, Georgios Piliouras
math.DScs.LGarXiv:1605.00405v22016
Scaling Post-Training Ternarisation to Qwen3-8B Capability Retention, Reproduction, Lossless Packing, and Packed Execution
Anirudh Malik, M Sparsh Mehra, Poojith Devan
cs.LGcs.AIarXiv:2609.09240v12026
Adversarial Examples that Fool Detectors
Jiajun Lu, Hussein Sibai, Evan Fabry
cs.CVcs.AIcs.GRarXiv:1712.02494v12017
Model-based Pricing for Machine Learning in a Data Marketplace
Lingjiao Chen, Paraschos Koutris, Arun Kumar
cs.DBcs.GTcs.LGarXiv:1805.11450v12018
How Important Is a Neuron?
Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan
cs.LGstat.MLarXiv:1805.12233v12018
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer
cs.LGcs.AIarXiv:1807.08364v32018
Infinite attention: NNGP and NTK for deep attention networks
Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein +1
stat.MLcs.LGarXiv:2006.10540v12020
Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score Sampling
Michael B. Cohen, Cameron Musco, Christopher Musco
cs.DScs.LGarXiv:1511.07263v22015
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Kay Liu, Yingtong Dou, Yue Zhao +12
cs.LGcs.SIarXiv:2206.10071v22022
TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches
Aashaka Shah, Vijay Chidambaram, Meghan Cowan +6
cs.DCcs.LGarXiv:2111.04867v42021
Complexity Theoretic Limitations on Learning Halfspaces
Amit Daniely
cs.CCcs.LGarXiv:1505.05800v22015
THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
Wilbert Pumacay, Ishika Singh, Jiafei Duan +3
cs.ROcs.AIcs.LGarXiv:2402.08191v22024
An Effective Approach to Unsupervised Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.AIcs.LGarXiv:1902.01313v22019
Directed Graph Convolutional Network
Zekun Tong, Yuxuan Liang, Changsheng Sun +2
cs.LGstat.MLarXiv:2004.13970v12020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation
Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani +2
cs.CLcs.IRcs.LGarXiv:2005.02439v32020
LM-Polygraph: Uncertainty Estimation for Language Models
Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun +9
cs.CLcs.LGarXiv:2311.07383v12023
Active and passive learning of linear separators under log-concave distributions
Maria Florina Balcan, Philip M. Long
cs.LGmath.STstat.MLarXiv:1211.1082v32012
TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards
Rui Sun, Zhan Shi, Bing He
cs.AIcs.LGarXiv:2609.10315v12026
On the Exploitability of Instruction Tuning
Manli Shu, Jiongxiao Wang, Chen Zhu +3
cs.CRcs.CLcs.LGarXiv:2306.17194v22023
Effectiveness of self-supervised pre-training for speech recognition
Alexei Baevski, Michael Auli, Abdelrahman Mohamed
cs.CLcs.LGarXiv:1911.03912v32019
Live Face De-Identification in Video
Oran Gafni, Lior Wolf, Yaniv Taigman
cs.LGcs.CVcs.GRarXiv:1911.08348v12019
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha, Jingru Xie, Wenye Ma +4
cs.AIcs.LGarXiv:2106.06135v12021
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang, Rodrigo Fonseca, Yuandong Tian
cs.LGcs.AIcs.ROarXiv:2007.00708v22020
Kernel-Managed Shared Memory for System-Wide Personalization
Ryan Lum, Yongfeng Zhang
cs.AIcs.LGarXiv:2609.10144v12026
Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts
Shuai Yan, Yang Xu, Shan He
cs.AIcs.LGarXiv:2609.10135v12026
On Contrastive Learning for Likelihood-free Inference
Conor Durkan, Iain Murray, George Papamakarios
stat.MLcs.LGarXiv:2002.03712v22020
Out-Of-Distribution Generalization on Graphs: A Survey
Haoyang Li, Xin Wang, Ziwei Zhang +1
cs.LGarXiv:2202.07987v22022
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi +1
math.OCcs.AIcs.LGarXiv:1912.11899v32019
Belief-State Engine: Augmenting LLMs for Principled Planning Under Partial Observability
Arnab Chattopadhayay, Debdipta Halder
cs.AIcs.LGcs.ROarXiv:2609.10036v12026
A Tensor Approach to Learning Mixed Membership Community Models
Anima Anandkumar, Rong Ge, Daniel Hsu +1
cs.LGcs.SIstat.MLarXiv:1302.2684v42013
Omnigrok: Grokking Beyond Algorithmic Data
Ziming Liu, Eric J. Michaud, Max Tegmark
cs.LGcs.AIphysics.data-anarXiv:2210.01117v22022
Nonparametric variational inference
Samuel Gershman, Matt Hoffman, David Blei
cs.LGstat.MLarXiv:1206.4665v12012
Quantifying Logical Consistency in Transformers via Query-Key Alignment
Eduard Tulchinskii, Anastasia Voznyuk, Laida Kushnareva +4
cs.CLcs.AIcs.ITarXiv:2502.17017v12025
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma, Denis Yarats
cs.LGstat.MLarXiv:1810.06801v42018
Deep ConvLSTM with self-attention for human activity decoding using wearables
Satya P. Singh, Aimé Lay-Ekuakille, Deepak Gangwar +2
cs.HCcs.LGeess.SParXiv:2005.00698v22020
Certifiably Robust RAG against Retrieval Corruption
Chong Xiang, Tong Wu, Zexuan Zhong +3
cs.LGcs.CLcs.CRarXiv:2405.15556v22024
Fair Mixup: Fairness via Interpolation
Ching-Yao Chuang, Youssef Mroueh
cs.LGcs.CYstat.MLarXiv:2103.06503v12021
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Cody Watson, Nathan Cooper, David Nader Palacio +2
cs.SEcs.AIcs.LGarXiv:2009.06520v22020
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies
Sicheng Zhao, Guoli Jia, Jufeng Yang +2
eess.SPcs.AIcs.LGarXiv:2108.10152v12021
Topology Optimization via Machine Learning and Deep Learning: A Review
Seungyeon Shin, Dongju Shin, Namwoo Kang
cs.LGarXiv:2210.10782v22022
Bridging Theory and Data: Correcting Nuclear Mass Models with Interpretable Machine Learning
Yanhua Lu, Tianshuai Shang, Pengxiang Du +2
nucl-thcs.LGnucl-exarXiv:2603.15203v12026
Correlation-aware Adversarial Domain Adaptation and Generalization
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh +1
cs.CVcs.LGarXiv:1911.12983v12019
POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem
Jürgen Schmidhuber
cs.AIcs.LGarXiv:1112.5309v22011
Deep Learning in Cardiology
Paschalis Bizopoulos, Dimitrios Koutsouris
cs.CVcs.AIcs.LGarXiv:1902.11122v52019
Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment
Umberto Fugiglando, Emanuele Massaro, Paolo Santi +5
cs.LGcs.CYphysics.data-anarXiv:1710.04133v12017
A Survey on Large-scale Machine Learning
Meng Wang, Weijie Fu, Xiangnan He +2
cs.LGstat.MLarXiv:2008.03911v12020
A cross Transformer for image denoising
Chunwei Tian, Menghua Zheng, Wangmeng Zuo +3
eess.IVcs.CVcs.LGarXiv:2310.10408v12023
Gaussian Processes for Nonlinear Signal Processing
Fernando Pérez-Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes +2
cs.LGcs.ITstat.MLarXiv:1303.2823v22013
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation
Yuzhe Qin, Hao Su, Xiaolong Wang
cs.ROcs.CVcs.LGarXiv:2204.12490v22022
Influence of Initialization on the Performance of Metaheuristic Optimizers
Qian Li, San-Yang Liu, Xin-She Yang
cs.NEcs.LGmath.OCarXiv:2003.03789v12020
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction
Zhonglin Cao, Rishikesh Magar, Yuyang Wang +1
cs.LGphysics.chem-pharXiv:2210.14188v12022
A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams
Li Yang, Abdallah Shami
cs.LGcs.AIarXiv:2104.10529v12021
NN-EUCLID: deep-learning hyperelasticity without stress data
Prakash Thakolkaran, Akshay Joshi, Yiwen Zheng +3
cs.LGcs.CEarXiv:2205.06664v22022
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization
Fabian Latorre, Paul Rolland, Volkan Cevher
cs.LGstat.MLarXiv:2004.08688v12020
SwitchNet: a neural network model for forward and inverse scattering problems
Yuehaw Khoo, Lexing Ying
math.NAcs.LGarXiv:1810.09675v12018

Machine Learning

Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network

Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts

Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions

Scaling Post-Training Ternarisation to Qwen3-8B Capability Retention, Reproduction, Lossless Packing, and Packed Execution

Adversarial Examples that Fool Detectors

Model-based Pricing for Machine Learning in a Data Marketplace

How Important Is a Neuron?

EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning

Infinite attention: NNGP and NTK for deep attention networks

Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score Sampling

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches

Complexity Theoretic Limitations on Learning Halfspaces

THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation

An Effective Approach to Unsupervised Machine Translation

Directed Graph Convolutional Network

Contextualizing Hate Speech Classifiers with Post-hoc Explanation

LM-Polygraph: Uncertainty Estimation for Language Models

Active and passive learning of linear separators under log-concave distributions

TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards

On the Exploitability of Instruction Tuning

Effectiveness of self-supervised pre-training for speech recognition

Live Face De-Identification in Video

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Kernel-Managed Shared Memory for System-Wide Personalization

Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts

On Contrastive Learning for Likelihood-free Inference

Out-Of-Distribution Generalization on Graphs: A Survey

Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem

Belief-State Engine: Augmenting LLMs for Principled Planning Under Partial Observability

A Tensor Approach to Learning Mixed Membership Community Models

Omnigrok: Grokking Beyond Algorithmic Data

Nonparametric variational inference

Quantifying Logical Consistency in Transformers via Query-Key Alignment

Quasi-hyperbolic momentum and Adam for deep learning

Deep ConvLSTM with self-attention for human activity decoding using wearables

Certifiably Robust RAG against Retrieval Corruption

Fair Mixup: Fairness via Interpolation

A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies

Topology Optimization via Machine Learning and Deep Learning: A Review

Bridging Theory and Data: Correcting Nuclear Mass Models with Interpretable Machine Learning

Correlation-aware Adversarial Domain Adaptation and Generalization

POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem

Deep Learning in Cardiology

Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment

A Survey on Large-scale Machine Learning

A cross Transformer for image denoising

Gaussian Processes for Nonlinear Signal Processing

From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation

Influence of Initialization on the Performance of Metaheuristic Optimizers

MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction

A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams

NN-EUCLID: deep-learning hyperelasticity without stress data

Lipschitz constant estimation of Neural Networks via sparse polynomial optimization

SwitchNet: a neural network model for forward and inverse scattering problems