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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23,881 to 23,940 of 33,260

Verdict Instability of OOD Scores under Reference Resampling
Donghoon Lee, Shinjin Kang
cs.LGstat.MLarXiv:2609.00691v12026
Preference Reasoning under Indeterminacy in Large Language Models
Hadi Hosseini, Samarth Khanna, Xiyuan Wang
cs.AIcs.GTcs.LGarXiv:2608.18631v12026
AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application
Wenxin Jiang, Xuyang Wang, Yuxiao Wu
cs.AIcs.LGarXiv:2609.02821v12026
The phase diagram of approximation rates for deep neural networks
Dmitry Yarotsky, Anton Zhevnerchuk
cs.NEcs.LGarXiv:1906.09477v22019
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning
Binyu Wang, Zhe Liu, Qingbiao Li +1
cs.ROcs.AIcs.LGarXiv:2005.05420v22020
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data
David Hallac, Sagar Vare, Stephen Boyd +1
cs.LGcs.SImath.OCarXiv:1706.03161v22017
Stochastic subgradient method converges on tame functions
Damek Davis, Dmitriy Drusvyatskiy, Sham Kakade +1
math.OCcs.LGarXiv:1804.07795v32018
Representation Learning for Sample-Efficient CATE Estimation by Leveraging Multiple Outcomes
Maitreyi Swaroop, Shikha Bhat, Samantha Rodriguez +2
cs.LGarXiv:2609.06294v12026
Scalable Multi-GPU Simulation of 3D Multicellular Growth with RNN-Based Workload Balancing
Matvey Moisseyev, Huijing Du, Dandan Zheng +2
cs.DCcs.CEcs.LGarXiv:2608.25890v12026
ChatGPT for Robotics: Design Principles and Model Abilities
Sai Vemprala, Rogerio Bonatti, Arthur Bucker +1
cs.AIcs.CLcs.HCarXiv:2306.17582v22023
Pros and Cons of GAN Evaluation Measures: New Developments
Ali Borji
cs.LGcs.AIcs.CVarXiv:2103.09396v32021
Synthesizer: Rethinking Self-Attention in Transformer Models
Yi Tay, Dara Bahri, Donald Metzler +3
cs.CLcs.IRcs.LGarXiv:2005.00743v32020
Symmetry Discovery in Quantum Learning: Observable-Level and Task-Level Inference from Finite Measurements
Zeyu Chen
quant-phcs.LGarXiv:2610.00157v12026
Adversarial Distributional Training for Robust Deep Learning
Yinpeng Dong, Zhijie Deng, Tianyu Pang +2
cs.LGcs.CRstat.MLarXiv:2002.05999v22020
Learning Scheduling Algorithms for Data Processing Clusters
Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan +2
cs.LGstat.MLarXiv:1810.01963v42018
Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression
Tingkai Yan, Haodong Wen, Binghui Li +3
cs.LGstat.MLarXiv:2511.13421v22025
AgentSM: Semantic Memory for Agentic Text-to-SQL
Asim Biswal, Chuan Lei, Xiao Qin +3
cs.AIcs.DBcs.LGarXiv:2601.15709v12026
Causal Discovery in the Era of Agents
Yujia Zheng, Vishal Verma, Mantej Gill +3
cs.AIcs.LGcs.SEarXiv:2606.23608v12026
Optimal Demand Response Using Device Based Reinforcement Learning
Zheng Wen, Daniel O'Neill, Hamid Reza Maei
cs.LGcs.AIeess.SYarXiv:1401.1549v22014
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets
Yujin Oh, Sangjoon Park, Jong Chul Ye
eess.IVcs.CVcs.LGarXiv:2004.05758v22020
Evasion Attacks: How Adversarial Noise Bypasses ML Classifiers
Parker Hummel, Ryne Skabo, Muhammad Abusaqer
cs.CRcs.CLcs.LGarXiv:2610.00136v12026
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan, Solon Barocas, Jon Kleinberg +1
cs.CYcs.AIcs.LGarXiv:1906.09208v32019
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das +3
cs.CVcs.AIcs.LGarXiv:1610.02391v42016
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Md. Rezaul Karim, Tanhim Islam, Oya Beyan +4
q-bio.QMcs.AIcs.LGarXiv:2212.13261v32022
MEL: Coordinate-Preserving EEG Tokenization for fMRI Translation
Xiangyu Liu, Zeting Yan, Zhitong Yin +2
cs.LGarXiv:2608.29304v12026
MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World
Yining Hong, Zishuo Zheng, Peihao Chen +3
cs.CVcs.AIcs.CLarXiv:2401.08577v12024
Review of Fall Detection Techniques: A Data Availability Perspective
Shehroz S. Khan, Jesse Hoey
cs.LGarXiv:1605.09351v22016
RewardBench: Evaluating Reward Models for Language Modeling
Nathan Lambert, Valentina Pyatkin, Jacob Morrison +9
cs.LGarXiv:2403.13787v22024
SyntheticHLS: Building Diverse Synthetic High-Level Synthesis Datasets using LLMs
Stefan Abi-Karam, Miaoyan Zhou, Callie Hao
cs.ARcs.LGarXiv:2610.00106v12026
Interface-Induced Trajectory Censoring
Wenbo Wang
cs.AIcs.LGarXiv:2609.03966v12026
What Limits Recursive Reasoning Models: Optimization, Architecture and Test-Time Scaling
Yuliana Shakhvalieva, Dmitrii Kharchev, Viacheslav Bezrukov +4
cs.LGcs.AIarXiv:2609.39967v12026
Agentic Reinforced Policy Optimization
Guanting Dong, Hangyu Mao, Kai Ma +11
cs.LGcs.AIcs.CLarXiv:2507.19849v12025
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning
Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels +2
cs.LGstat.MLarXiv:1910.11758v42019
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
Qingwen Bu, Yanting Yang, Jisong Cai +5
cs.ROcs.AIcs.LGarXiv:2505.06111v32025
A Comparative Survey of Recent Natural Language Interfaces for Databases
Katrin Affolter, Kurt Stockinger, Abraham Bernstein
cs.DBcs.CLcs.LGarXiv:1906.08990v12019
FedSplit: An algorithmic framework for fast federated optimization
Reese Pathak, Martin J. Wainwright
cs.LGmath.OCstat.MLarXiv:2005.05238v12020
"very likely" Means "uncertain"? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification
Jinhao Duan, Zicheng Liu, Zijie Liu +2
cs.LGarXiv:2610.00083v12026
Minimal Gated Unit for Recurrent Neural Networks
Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang +1
cs.NEcs.LGarXiv:1603.09420v12016
MinT: Managed Infrastructure for Training and Serving Millions of LLMs
Mind Lab, :, Song Cao +60
cs.LGcs.AIcs.DCarXiv:2605.13779v22026
CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition
Junjie Meng, Ranxu Zhang, Zi-an Zhang +6
cs.LGarXiv:2608.25871v12026
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart +9
cs.LGcs.AIcs.CVarXiv:1709.07857v22017
Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL
Ian Wu, Yuxiao Qu, Amrith Setlur +1
cs.LGarXiv:2602.03773v22026
The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems
Xiaoze Liu, Ruowang Zhang, Weichen Yu +7
cs.CLcs.CVcs.LGarXiv:2602.15382v22026
An ensemble-based system for automatic screening of diabetic retinopathy
Balint Antal, Andras Hajdu
cs.CVcs.LGstat.AParXiv:1410.8576v12014
When BERT Plays the Lottery, All Tickets Are Winning
Sai Prasanna, Anna Rogers, Anna Rumshisky
cs.CLcs.LGarXiv:2005.00561v22020
SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials
Amirhosein Azarpour, Seyyed Moein Kazemi
cs.LGcs.AIarXiv:2610.00050v12026
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories
Ali Behrouz, Farnoosh Hashemi, Adel Javanmard +1
cs.LGcs.AIarXiv:2606.03979v22026
Neural Sampling with Reweighted Normalizing Flows via the Wasserstein--Fisher--Rao JKO Scheme
Chenguang Duan, Johannes Hertrich, Gabriele Steidl
math.NAcs.LGcs.NAarXiv:2610.10278v12026
Scaling Laws for Fine-Grained Mixture of Experts
Jakub Krajewski, Jan Ludziejewski, Kamil Adamczewski +9
cs.LGcs.AIcs.CLarXiv:2402.07871v12024
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression
Zhenheng Tang, Xueze Kang, Yiming Yin +11
cs.DCcs.AIcs.LGarXiv:2410.12707v12024
Critique of Agent Model
Eric Xing, Mingkai Deng, Jinyu Hou
cs.AIcs.LGcs.MAarXiv:2606.23991v12026
Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
Chuanpu Fu, Qi Li, Meng Shen +1
cs.CRcs.LGarXiv:2106.14707v32021
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal, Abram L. Friesen, Andrea Banino +13
cs.LGstat.MLarXiv:2202.08417v42022
Full-Model Optimality for Tunable Linear Generative Priors in Compressed Sensing
Zhaoming Li, Paul Hand
stat.MLcs.LGarXiv:2609.02790v12026
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani +2
cs.LGcs.DCmath.OCarXiv:1909.13014v42019
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
Yuanming Hu, Jiancheng Liu, Andrew Spielberg +5
cs.ROcs.AIcs.GRarXiv:1810.01054v12018
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari +3
cs.CLcs.LGarXiv:2504.17674v12025
The Effects of Memory Replay in Reinforcement Learning
Ruishan Liu, James Zou
cs.AIcs.LGstat.MLarXiv:1710.06574v12017
Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining
Shuqi Ke, Giulia Fanti
cs.LGcs.AIarXiv:2601.22108v22026
Semifactual Credit-Augmented Policy Optimization
Junshu Pan, Zhizhang Fu, Shulin Huang +5
cs.LGcs.AIcs.CLarXiv:2609.40360v12026

Machine Learning

Verdict Instability of OOD Scores under Reference Resampling

Preference Reasoning under Indeterminacy in Large Language Models

AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application

The phase diagram of approximation rates for deep neural networks

Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning

Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data

Stochastic subgradient method converges on tame functions

Representation Learning for Sample-Efficient CATE Estimation by Leveraging Multiple Outcomes

Scalable Multi-GPU Simulation of 3D Multicellular Growth with RNN-Based Workload Balancing

ChatGPT for Robotics: Design Principles and Model Abilities

Pros and Cons of GAN Evaluation Measures: New Developments

Synthesizer: Rethinking Self-Attention in Transformer Models

Symmetry Discovery in Quantum Learning: Observable-Level and Task-Level Inference from Finite Measurements

Adversarial Distributional Training for Robust Deep Learning

Learning Scheduling Algorithms for Data Processing Clusters

Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression

AgentSM: Semantic Memory for Agentic Text-to-SQL

Causal Discovery in the Era of Agents

Optimal Demand Response Using Device Based Reinforcement Learning

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

Evasion Attacks: How Adversarial Noise Bypasses ML Classifiers

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Explainable AI for Bioinformatics: Methods, Tools, and Applications

MEL: Coordinate-Preserving EEG Tokenization for fMRI Translation

MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World

Review of Fall Detection Techniques: A Data Availability Perspective

RewardBench: Evaluating Reward Models for Language Modeling

SyntheticHLS: Building Diverse Synthetic High-Level Synthesis Datasets using LLMs

Interface-Induced Trajectory Censoring

What Limits Recursive Reasoning Models: Optimization, Architecture and Test-Time Scaling

Agentic Reinforced Policy Optimization

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

A Comparative Survey of Recent Natural Language Interfaces for Databases

FedSplit: An algorithmic framework for fast federated optimization

"very likely" Means "uncertain"? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification

Minimal Gated Unit for Recurrent Neural Networks

MinT: Managed Infrastructure for Training and Serving Millions of LLMs

CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems

An ensemble-based system for automatic screening of diabetic retinopathy

When BERT Plays the Lottery, All Tickets Are Winning

SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories

Neural Sampling with Reweighted Normalizing Flows via the Wasserstein--Fisher--Rao JKO Scheme

Scaling Laws for Fine-Grained Mixture of Experts

FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression

Critique of Agent Model

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

Retrieval-Augmented Reinforcement Learning

Full-Model Optimality for Tunable Linear Generative Priors in Compressed Sensing

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization

ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

The Effects of Memory Replay in Reinforcement Learning

Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining

Semifactual Credit-Augmented Policy Optimization