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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21,661 to 21,720 of 33,202

Deep linear neural networks with arbitrary loss: All local minima are global
Thomas Laurent, James von Brecht
cs.LGstat.MLarXiv:1712.01473v22017
Multi-Armed Bandits in Metric Spaces
Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal
cs.DScs.LGarXiv:0809.4882v12008
Practical Efficiency of Muon for Pretraining
Essential AI, :, Ishaan Shah +22
cs.LGstat.MLarXiv:2505.02222v42025
Metaplasticity as adaptive gradient preconditioning for incremental learning
Isabelle Aguilar, Zayn Andre Zainal, Omid Kavehei
cs.LGarXiv:2608.14634v12026
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
Samet Oymak, Mahdi Soltanolkotabi
cs.LGmath.OCstat.MLarXiv:1812.10004v12018
LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
Junxiao Yang, Haoran Liu, Jinzhe Tu +9
cs.LGcs.AIcs.CLarXiv:2604.12710v22026
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
Aditya Golatkar, Alessandro Achille, Stefano Soatto
cs.LGcs.CVcs.ITarXiv:2003.02960v32020
Meta-Learning via Learned Loss
Sarah Bechtle, Artem Molchanov, Yevgen Chebotar +4
cs.LGcs.AIcs.ROarXiv:1906.05374v42019
Cacheable by Design? Training Mixture-of-Experts Routers for Locality Against the Edge Memory-Bandwidth Wall: A Pre-Registered Negative Result with a Systems Measurement Study
Shriniwas Ramesh Suram
cs.AIcs.LGarXiv:2608.18261v12026
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
Emmanuel Abbe, Enric Boix-Adsera, Theodor Misiakiewicz
cs.LGstat.MLarXiv:2302.11055v22023
Codifying the Judge: Scalable Evaluation via Program Distillation
Tzu-Heng Huang, Shengqi Qiu, Frederic Sala
cs.AIcs.LGarXiv:2607.22561v12026
Diagonal Multi-omics Integration of Heterogenous Datasets
Maksim V. Kukushkin, Mikhail S. Arbatskiy, Dmitriy E. Balandin +1
stat.MLcs.LGmath.FAarXiv:2608.16968v12026
Improving CUR Matrix Decomposition and the Nyström Approximation via Adaptive Sampling
Shusen Wang, Zhihua Zhang
cs.LGmath.NAarXiv:1303.4207v72013
Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation
Seulbin Hwang, Kiyoung Om, Daejung Kim +1
cs.ROcs.LGarXiv:2607.06957v12026
Common Covariance Geometry and Certification for Brownian Kernel Ladders
Mahdi Mohammadigohari
cs.LGarXiv:2609.29525v12026
A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao +3
cs.LGcs.CLarXiv:2504.07086v22025
Location reference identification from tweets during emergencies: A deep learning approach
Abhinav Kumar, Jyoti Prakash Singh
cs.LGcs.CLstat.MLarXiv:1901.08241v12019
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
Krzysztof J. Geras, Stacey Wolfson, Yiqiu Shen +7
cs.CVcs.LGstat.MLarXiv:1703.07047v32017
A Survey on Interpretable Reinforcement Learning
Claire Glanois, Paul Weng, Matthieu Zimmer +4
cs.LGcs.AIarXiv:2112.13112v22021
The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL
Nicolas Beltran-Velez, Felix Friedrich, Zhang Xiaofeng +4
cs.LGcs.CVarXiv:2606.19162v12026
ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents
Fei Tang, Zhiqiong Lu, Boxuan Zhang +4
cs.LGcs.AIcs.CLarXiv:2604.11784v12026
Generalized Nonconvex Nonsmooth Low-Rank Minimization
Canyi Lu, Jinhui Tang, Shuicheng Yan +1
cs.CVcs.LGstat.MLarXiv:1404.7306v12014
Wavelet Convolutional Neural Networks for Texture Classification
Shin Fujieda, Kohei Takayama, Toshiya Hachisuka
cs.CVcs.LGarXiv:1707.07394v12017
On the Convergence of Local Descent Methods in Federated Learning
Farzin Haddadpour, Mehrdad Mahdavi
cs.LGcs.DCstat.MLarXiv:1910.14425v22019
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha +5
cs.CLcs.AIcs.LGarXiv:1706.00374v12017
Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense
Shuhao Zhang, Jiarui Li, Qi Cao +2
cs.CRcs.LGarXiv:2605.30837v22026
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen +9
cs.CVcs.LGcs.NEarXiv:1512.07108v62015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter
cs.LGarXiv:1511.07289v52015
M$^3$Care: Learning with Missing Modalities in Multimodal Healthcare Data
Chaohe Zhang, Xu Chu, Liantao Ma +4
cs.LGcs.AIarXiv:2210.17292v12022
Causal Reasoning from Meta-reinforcement Learning
Ishita Dasgupta, Jane Wang, Silvia Chiappa +7
cs.LGcs.AIstat.MLarXiv:1901.08162v12019
KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning
Egor Cherepanov, Daniil Zelezetsky, Alexey K. Kovalev +1
cs.LGcs.AIcs.CVarXiv:2601.14232v22026
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Zhiwei Liu, Yingtong Dou, Philip S. Yu +2
cs.SIcs.IRcs.LGarXiv:2005.00625v32020
The Sequential Price of Continual Learning
Zonghuan Xu, Xingjun Ma
cs.LGcs.AIarXiv:2609.29674v12026
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon, Yaron Lipman
cs.CVcs.GRcs.LGarXiv:2006.05400v22020
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
Yinghao Aaron Li, Ali Zare, Nima Mesgarani
cs.SDcs.LGeess.ASarXiv:2107.10394v22021
Recent Advances in Zero-shot Recognition
Yanwei Fu, Tao Xiang, Yu-Gang Jiang +3
cs.CVcs.AIcs.LGarXiv:1710.04837v12017
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra
stat.MLcs.AIcs.LGarXiv:1401.4082v32014
When Gaussian Process Meets Big Data: A Review of Scalable GPs
Haitao Liu, Yew-Soon Ong, Xiaobo Shen +1
stat.MLcs.LGarXiv:1807.01065v22018
FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs
Junzhe Jiang, Chang Yang, Aixin Cui +6
cs.AIcs.LGq-fin.GNarXiv:2505.13533v12025
Hyena Hierarchy: Towards Larger Convolutional Language Models
Michael Poli, Stefano Massaroli, Eric Nguyen +6
cs.LGcs.CLarXiv:2302.10866v32023
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel
cs.CVcs.AIcs.HCarXiv:1812.06145v22018
Don't be lazy: CompleteP enables compute-efficient deep transformers
Nolan Dey, Bin Claire Zhang, Lorenzo Noci +6
cs.LGcs.AIarXiv:2505.01618v42025
Simultaneous Neural Optimal Transport
Milena Gazdieva, Kirill Sokolov, Jiawei Chen +2
cs.LGcs.AIarXiv:2609.37424v12026
Improving Multimodal Datasets with Image Captioning
Thao Nguyen, Samir Yitzhak Gadre, Gabriel Ilharco +2
cs.LGcs.CVarXiv:2307.10350v22023
EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
Minseo Kim, Minjae Lee, Seunghyuk Oh +7
cs.LGarXiv:2606.18967v12026
Out of One, Many: Using Language Models to Simulate Human Samples
Lisa P. Argyle, Ethan C. Busby, Nancy Fulda +3
cs.LGcs.CLarXiv:2209.06899v12022
Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints
Jie Fu, Ufuk Topcu
eess.SYcs.LGcs.LOarXiv:1404.7073v22014
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
Yuen Chen, Vethavikashini Chithrra Raghuram, Justus Mattern +2
cs.CLcs.LGarXiv:2212.10678v42022
One-Step Evolution for Long-Time Extrapolation: An Error-Bound-Informed and Prior-Guided Neural Residual Framework for Autonomous PDEs
Maqun Zhang, Feng Gao, Wankun Chen +3
cs.AIcs.LGarXiv:2608.22026v12026
Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
Yun Qu, Qi Wang, Yixiu Mao +8
cs.AIcs.LGarXiv:2602.01970v22026
Benchmarking Natural Language Understanding Services for building Conversational Agents
Xingkun Liu, Arash Eshghi, Pawel Swietojanski +1
cs.CLcs.LGarXiv:1903.05566v32019
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
Bharath Chintagunta, Namit Katariya, Xavier Amatriain +1
cs.CLcs.AIcs.LGarXiv:2110.07356v12021
Machine Learning of coarse-grained Molecular Dynamics Force Fields
Jiang Wang, Simon Olsson, Christoph Wehmeyer +5
physics.comp-phcs.LGstat.MLarXiv:1812.01736v32018
Mixture of LoRA Experts
Xun Wu, Shaohan Huang, Furu Wei
cs.CLcs.LGcs.MMarXiv:2404.13628v12024
AdaViT: Adaptive Tokens for Efficient Vision Transformer
Hongxu Yin, Arash Vahdat, Jose Alvarez +3
cs.CVcs.LGarXiv:2112.07658v32021
A Hybrid Approach to Privacy-Preserving Federated Learning
Stacey Truex, Nathalie Baracaldo, Ali Anwar +4
cs.LGstat.MLarXiv:1812.03224v22018
Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization
Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama +2
cs.SDcs.LGeess.ASarXiv:1710.11439v42017
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao +1
cs.LGstat.MLarXiv:1811.01900v32018
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So, Chaoyang He, Chien-Sheng Yang +5
cs.LGcs.CRcs.DCarXiv:2109.14236v32021
Stable-MM-R1: Anchoring Multimodal Reasoning Dynamics via Entropy-Guided Stratification
Yimeng Ye, Shuang Chen, Wenxuan Huang +8
cs.LGcs.CVarXiv:2609.07148v12026

Machine Learning

Deep linear neural networks with arbitrary loss: All local minima are global

Multi-Armed Bandits in Metric Spaces

Practical Efficiency of Muon for Pretraining

Metaplasticity as adaptive gradient preconditioning for incremental learning

Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?

LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety

Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

Meta-Learning via Learned Loss

Cacheable by Design? Training Mixture-of-Experts Routers for Locality Against the Edge Memory-Bandwidth Wall: A Pre-Registered Negative Result with a Systems Measurement Study

SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics

Codifying the Judge: Scalable Evaluation via Program Distillation

Diagonal Multi-omics Integration of Heterogenous Datasets

Improving CUR Matrix Decomposition and the Nyström Approximation via Adaptive Sampling

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation

Common Covariance Geometry and Certification for Brownian Kernel Ladders

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility

Location reference identification from tweets during emergencies: A deep learning approach

High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks

A Survey on Interpretable Reinforcement Learning

The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL

ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents

Generalized Nonconvex Nonsmooth Low-Rank Minimization

Wavelet Convolutional Neural Networks for Texture Classification

On the Convergence of Local Descent Methods in Federated Learning

Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense

Recent Advances in Convolutional Neural Networks

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

M$^3$Care: Learning with Missing Modalities in Multimodal Healthcare Data

Causal Reasoning from Meta-reinforcement Learning

KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

The Sequential Price of Continual Learning

SALD: Sign Agnostic Learning with Derivatives

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

Recent Advances in Zero-shot Recognition

Stochastic Backpropagation and Approximate Inference in Deep Generative Models

When Gaussian Process Meets Big Data: A Review of Scalable GPs

FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs

Hyena Hierarchy: Towards Larger Convolutional Language Models

Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training

Don't be lazy: CompleteP enables compute-efficient deep transformers

Simultaneous Neural Optimal Transport

Improving Multimodal Datasets with Image Captioning

EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts

Out of One, Many: Using Language Models to Simulate Human Samples

Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints

Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias

One-Step Evolution for Long-Time Extrapolation: An Error-Bound-Informed and Prior-Guided Neural Residual Framework for Autonomous PDEs

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models

Benchmarking Natural Language Understanding Services for building Conversational Agents

Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization

Machine Learning of coarse-grained Molecular Dynamics Force Fields

Mixture of LoRA Experts

AdaViT: Adaptive Tokens for Efficient Vision Transformer

A Hybrid Approach to Privacy-Preserving Federated Learning

Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning

Stable-MM-R1: Anchoring Multimodal Reasoning Dynamics via Entropy-Guided Stratification