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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16,381 to 16,440 of 20,192

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
Sheng Chen, Yang Liu, Xiang Gao +1
cs.CVcs.LGarXiv:1804.07573v42018
Self-Supervised Graph Representation Learning for In-The-Wild Wearable and Smartphone based Emotion Recognition
Ioannis N. Ziogas, Leontios J. Hadjileontiadis, Ahsan H. Khandoker +1
cs.LGcs.AIeess.SParXiv:2608.22387v12026
Large Language Models Struggle to Learn Long-Tail Knowledge
Nikhil Kandpal, Haikang Deng, Adam Roberts +2
cs.CLcs.LGarXiv:2211.08411v22022
Deep Learning of Representations: Looking Forward
Yoshua Bengio
cs.LGarXiv:1305.0445v22013
Artificial Entanglement in the Fine-Tuning of Large Language Models
Min Chen, Zihan Wang, Canyu Chen +3
cs.LGcs.AIhep-tharXiv:2601.06788v12026
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Lei Ma, Felix Juefei-Xu, Fuyuan Zhang +9
cs.SEcs.CRcs.LGarXiv:1803.07519v42018
Variational Lossy Autoencoder
Xi Chen, Diederik P. Kingma, Tim Salimans +5
cs.LGstat.MLarXiv:1611.02731v22016
What makes ImageNet good for transfer learning?
Minyoung Huh, Pulkit Agrawal, Alexei A. Efros
cs.CVcs.AIcs.LGarXiv:1608.08614v22016
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu, Zoran Salcic, Lichao Sun +3
cs.LGcs.CRarXiv:2103.07853v42021
Scalable quantum simulation of continuous-time generative models via tensor networks
Nathan X. Kodama, L. Andrew Wray, Sam Cochran +3
quant-phcs.AIcs.LGarXiv:2608.21700v12026
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu, Josiah Wong, Ajay Mandlekar +6
cs.ROcs.AIcs.LGarXiv:2009.12293v32020
Learning from positive and unlabeled data: a survey
Jessa Bekker, Jesse Davis
cs.LGstat.MLarXiv:1811.04820v32018
Memory-V2V: Memory-Augmented Video-to-Video Diffusion for Consistent Multi-Turn Editing
Dohun Lee, Chun-Hao Paul Huang, Xuelin Chen +3
cs.CVcs.AIcs.LGarXiv:2601.16296v22026
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu, Zheyan Shen, Yue He +4
cs.LGarXiv:2108.13624v22021
Simple Black-box Adversarial Attacks
Chuan Guo, Jacob R. Gardner, Yurong You +2
cs.LGcs.CRstat.MLarXiv:1905.07121v22019
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Waddah Saeed, Christian Omlin
cs.LGcs.AIarXiv:2111.06420v12021
A Survey on Metric Learning for Feature Vectors and Structured Data
Aurélien Bellet, Amaury Habrard, Marc Sebban
cs.LGcs.AIstat.MLarXiv:1306.6709v42013
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Timothy Yang, Galen Andrew, Hubert Eichner +5
cs.LGstat.MLarXiv:1812.02903v12018
RM -RF: Reward Model for Run-Free Unit Test Evaluation
Elena Bruches, Daniil Grebenkin, Mikhail Klementev +8
cs.SEcs.LGarXiv:2601.13097v12026
Distilling a Neural Network Into a Soft Decision Tree
Nicholas Frosst, Geoffrey Hinton
cs.LGcs.AIstat.MLarXiv:1711.09784v12017
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
Alethea Power, Yuri Burda, Harri Edwards +2
cs.LGarXiv:2201.02177v12022
Segment Length Matters: A Study of Segment Lengths on Audio Fingerprinting Performance
Ziling Gong, Yunyan Ouyang, Iram Kamdar +5
cs.SDcs.AIcs.IRarXiv:2601.17690v12026
Domain Generalization for Object Recognition with Multi-task Autoencoders
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang +1
cs.CVcs.AIcs.LGarXiv:1508.07680v12015
TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors
Ido Andrew Atad, Itamar Zimerman, Shahar Katz +1
cs.LGarXiv:2601.17958v12026
Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi, Frederick Liu, Mukund Sundararajan +1
cs.LGstat.MLarXiv:2002.08484v32020
Hopfield Networks is All You Need
Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner +13
cs.NEcs.CLcs.LGarXiv:2008.02217v32020
Artificial Intelligence in the Creative Industries: A Review
Nantheera Anantrasirichai, David Bull
cs.CVcs.AIcs.LGarXiv:2007.12391v62020
Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction
Sofia Gulevskaia, Mikhail Trapeznikov, Aleksandr Poslavsky +1
cs.IRcs.LGstat.MLarXiv:2608.23356v12026
Inertial Manifold Neural Operator for Dissipative Time-Dependent Partial Differential Equations
Xiaoyang Xie, Clarence W. Rowley
math.NAcs.LGmath.DSarXiv:2608.23546v12026
Neural Architecture Optimization
Renqian Luo, Fei Tian, Tao Qin +2
cs.LGstat.MLarXiv:1808.07233v52018
Spicing up Genetic Netlist Generation with LLMs
Stefan Uhlich, Yağız Gençer, Andrea Bonetti +4
cs.NEcs.ARcs.LGarXiv:2608.23317v12026
EGAMA-RC: Risk-Calibrated Evidence-Gated Adaptive Malware Analysis for Robust and Interpretable Memory-Forensic Triage
Isaac Kofi Nti
cs.CRcs.LGarXiv:2608.22721v12026
Stochastic gradient descent on Riemannian manifolds
Silvere Bonnabel
math.OCcs.LGstat.MLarXiv:1111.5280v42011
Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart, Melody Y. Guan, Gregory Valiant +1
cs.LGstat.MLarXiv:1907.05012v22019
Bottom-Up Abstractive Summarization
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
cs.CLcs.AIcs.LGarXiv:1808.10792v22018
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman, Kyle W. Willett, Joni Dambre
astro-ph.IMastro-ph.GAcs.CVarXiv:1503.07077v12015
Selective Steering: Norm-Preserving Control Through Discriminative Layer Selection
Quy-Anh Dang, Chris Ngo
cs.LGcs.AIarXiv:2601.19375v12026
ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation
Zihao Huang, Jundong Zhou, Xingwei Qu +2
cs.LGarXiv:2601.21420v12026
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
Lam M. Nguyen, Jie Liu, Katya Scheinberg +1
stat.MLcs.LGmath.OCarXiv:1703.00102v22017
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review
Jiaxin Li, Danfeng Hong, Lianru Gao +4
cs.CVcs.LGeess.SParXiv:2205.01380v12022
Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data
Grzegorz Stefanski, Alberto Presta, Michal Byra
cs.AIcs.CVcs.LGarXiv:2601.22141v12026
Quantum Reservoir Computing with Physics-Informed Correction for Reduced-Order PDE Forecasting
Krishna Bhatia, Harsh, Shalini Devendrababu
quant-phcs.LGarXiv:2608.23119v12026
Clipping-Free Policy Optimization for Large Language Models
Ömer Veysel Çağatan, Barış Akgün, Gözde Gül Şahin +1
cs.LGarXiv:2601.22801v12026
How Far Ahead Do LLMs Plan? Uncovering the Latent Horizon in Chain-of-Thought Reasoning
Liyan Xu, Mo Yu, Fandong Meng +1
cs.LGcs.CLarXiv:2602.02103v22026
Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models
Ziwei Luo, Ziqi Jin, Lei Wang +2
cs.LGarXiv:2602.01849v12026
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers
Ionut-Vlad Modoranu, Philip Zmushko, Erik Schultheis +2
cs.LGarXiv:2602.02016v22026
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi, Jiajun Wu, Chuang Gan +3
cs.AIcs.CLcs.CVarXiv:1810.02338v22018
ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning
Jingwei Song, Meng Chen, Jie Xiao +15
cs.LGcs.DCarXiv:2602.02192v52026
Reliable and Responsible Foundation Models: A Comprehensive Survey
Xinyu Yang, Junlin Han, Rishi Bommasani +49
cs.LGcs.AIcs.CLarXiv:2602.08145v12026
Agent-Omit: Adaptive Context Omission for Efficient LLM Agents
Yansong Ning, Jun Fang, Naiqiang Tan +1
cs.AIcs.LGarXiv:2602.04284v22026
Making Expert Reasoning Learnable with Self-Distillation
Ethan Mendes, Jungsoo Park, Alan Ritter
cs.LGcs.AIarXiv:2602.02405v22026
"I May Not Have Articulated Myself Clearly": Diagnosing Dynamic Instability in LLM Reasoning at Inference Time
Jinkun Chen, Fengxiang Cheng, Sijia Han +1
cs.AIcs.LGarXiv:2602.02863v12026
Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection
Dongwon Jo, Beomseok Kang, Jiwon Song +1
cs.CLcs.LGarXiv:2602.03216v32026
Training Data Efficiency in Multimodal Process Reward Models
Jinyuan Li, Chengsong Huang, Langlin Huang +4
cs.LGcs.CLcs.MMarXiv:2602.04145v22026
ChatGPT for Robotics: Design Principles and Model Abilities
Sai Vemprala, Rogerio Bonatti, Arthur Bucker +1
cs.AIcs.CLcs.HCarXiv:2306.17582v22023
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
Behnam Neyshabur, Ryota Tomioka, Nathan Srebro
cs.LGcs.AIcs.CVarXiv:1412.6614v42014
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Sebastian Raschka, Joshua Patterson, Corey Nolet
cs.LGstat.MLarXiv:2002.04803v22020
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Joel Z. Leibo, Vinicius Zambaldi, Marc Lanctot +2
cs.MAcs.AIcs.GTarXiv:1702.03037v12017
SplitLite: Low-Rank Residual Compression for Split Learning
Tao Li, Yulin Tang, Qi Guo +1
cs.LGcs.AIarXiv:2608.23018v12026
Efficiently Scaling Transformer Inference
Reiner Pope, Sholto Douglas, Aakanksha Chowdhery +7
cs.LGcs.CLarXiv:2211.05102v12022

Machine Learning

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

Self-Supervised Graph Representation Learning for In-The-Wild Wearable and Smartphone based Emotion Recognition

Large Language Models Struggle to Learn Long-Tail Knowledge

Deep Learning of Representations: Looking Forward

Artificial Entanglement in the Fine-Tuning of Large Language Models

DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

Variational Lossy Autoencoder

What makes ImageNet good for transfer learning?

Membership Inference Attacks on Machine Learning: A Survey

Scalable quantum simulation of continuous-time generative models via tensor networks

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Learning from positive and unlabeled data: a survey

Memory-V2V: Memory-Augmented Video-to-Video Diffusion for Consistent Multi-Turn Editing

Towards Out-Of-Distribution Generalization: A Survey

Simple Black-box Adversarial Attacks

Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities

A Survey on Metric Learning for Feature Vectors and Structured Data

Applied Federated Learning: Improving Google Keyboard Query Suggestions

RM -RF: Reward Model for Run-Free Unit Test Evaluation

Distilling a Neural Network Into a Soft Decision Tree

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Segment Length Matters: A Study of Segment Lengths on Audio Fingerprinting Performance

Domain Generalization for Object Recognition with Multi-task Autoencoders

TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors

Estimating Training Data Influence by Tracing Gradient Descent

Hopfield Networks is All You Need

Artificial Intelligence in the Creative Industries: A Review

Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction

Inertial Manifold Neural Operator for Dissipative Time-Dependent Partial Differential Equations

Neural Architecture Optimization

Spicing up Genetic Netlist Generation with LLMs

EGAMA-RC: Risk-Calibrated Evidence-Gated Adaptive Malware Analysis for Robust and Interpretable Memory-Forensic Triage

Stochastic gradient descent on Riemannian manifolds

Making AI Forget You: Data Deletion in Machine Learning

Bottom-Up Abstractive Summarization

Rotation-invariant convolutional neural networks for galaxy morphology prediction

Selective Steering: Norm-Preserving Control Through Discriminative Layer Selection

ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation

SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data

Quantum Reservoir Computing with Physics-Informed Correction for Reduced-Order PDE Forecasting

Clipping-Free Policy Optimization for Large Language Models

How Far Ahead Do LLMs Plan? Uncovering the Latent Horizon in Chain-of-Thought Reasoning

Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models

DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

Reliable and Responsible Foundation Models: A Comprehensive Survey

Agent-Omit: Adaptive Context Omission for Efficient LLM Agents

Making Expert Reasoning Learnable with Self-Distillation

"I May Not Have Articulated Myself Clearly": Diagnosing Dynamic Instability in LLM Reasoning at Inference Time

Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection

Training Data Efficiency in Multimodal Process Reward Models

ChatGPT for Robotics: Design Principles and Model Abilities

In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Multi-agent Reinforcement Learning in Sequential Social Dilemmas

SplitLite: Low-Rank Residual Compression for Split Learning

Efficiently Scaling Transformer Inference