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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4,321 to 4,380 of 20,454

Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving
Aditi Patodiya
cs.SEcs.DCcs.LGarXiv:2609.04748v12026
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli +3
cs.ROcs.LGarXiv:1901.03737v22019
AQAScore: Evaluating Semantic Alignment in Text-to-Audio Generation via Audio Question Answering
Chun-Yi Kuan, Kai-Wei Chang, Hung-yi Lee
eess.AScs.AIcs.CLarXiv:2601.14728v12026
FluxDisco: Symbolic Regression for Stoichiometric Dynamical Systems via Monte Carlo Graph Search
Cassandra Durr, Alvaro Köhn-Luque, Chris Jewell +1
stat.MLcs.LGphysics.data-anarXiv:2609.05207v12026
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya +1
cs.AIcs.HCcs.LGarXiv:2311.11055v22023
An Alternative Probabilistic Interpretation of the Huber Loss
Gregory P. Meyer
stat.MLcs.CVcs.LGarXiv:1911.02088v32019
Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks
Soraya V. Panambalom, Edoardo Altamura, Nick Chancellor +1
quant-phcs.ETcs.LGarXiv:2609.05060v12026
Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming
Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas
eess.SPcs.ITcs.LGarXiv:2103.00328v22021
An Analysis of Self-supervised Pre-training with Dependent Samples
Maximilian Fleissner, Debarghya Ghoshdastidar, Samory Kpotufe
stat.MLcs.LGarXiv:2609.05031v12026
On the Generalization Capacities of MLLMs for Spatial Intelligence
Gongjie Zhang, Wenhao Li, Quanhao Qian +4
cs.CVcs.LGarXiv:2603.06704v12026
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks
Zhenguo Nie, Haoliang Jiang, Levent Burak Kara
cs.LGstat.MLarXiv:1808.08914v32018
IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation
Yinghao Tang, Xueding Liu, Boyuan Zhang +13
cs.LGcs.CVarXiv:2601.04498v22026
LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation
Lee Xiong, Zhirong Chen, Rahul Mayuranath +17
cs.IRcs.AIcs.LGarXiv:2601.20083v12026
Sustainable Edge Vision via Empirically Calibrated DVFS: Eliminating Thermal Throttling on Passively Cooled Hardware
Aayush Marasini, Zhaoxian Zhou
cs.ARcs.CVcs.LGarXiv:2609.04705v12026
IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation
Mingchun Sun, Rongqiang Zhao, Zhennan Huang +2
cs.LGcs.AIarXiv:2602.15878v12026
RF-GPT: Teaching AI to See the Wireless World
Hang Zou, Yu Tian, Bohao Wang +4
eess.SPcs.LGarXiv:2602.14833v12026
An improvement of the convergence proof of the ADAM-Optimizer
Sebastian Bock, Josef Goppold, Martin Weiß
cs.LGcs.AIstat.MLarXiv:1804.10587v12018
Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation
Siliang Liu, Mohammad Ghasemi, Sapan Patel +1
cs.LGarXiv:2609.05363v12026
Embedded Graph Flows for Categorical Graph Generation
Ethan Ma, Zihan Wang, Chris Siu Yeung Chow +5
cs.LGarXiv:2609.05328v12026
Variational Continuation for Double Pendulum Periodic Orbits
Leo Yao, Ziming Liu, Max Tegmark
cs.LGmath-phnlin.CDarXiv:2609.05337v12026
Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar
Shayan Sharifi, Riccardo Treu, Ilaria Gandin +3
cs.LGstat.MLarXiv:2609.05294v12026
How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method
Konstantin Grotov, Valentin Malykh
cs.LGarXiv:2609.05274v12026
A Differentiable Neural Surrogate for Photon Propagation in Neutrino Telescopes
Felix J. Yu, Berthy T. Feng, Nicholas Kamp +1
astro-ph.HEcs.LGhep-exarXiv:2609.04695v12026
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
Arber Zela, Aaron Klein, Stefan Falkner +1
cs.LGcs.AIcs.CVarXiv:1807.06906v12018
Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XR
Cory Ilo, Brendan-David John, Doug A. Bowman
cs.CVcs.ETcs.HCarXiv:2609.04592v12026
Centered Permutation Prefixes for SGD with Random Reshuffling: Sharp Rates, Hölder Geometry, and Composite Proximal Extensions
Jiaxiang Li
math.OCcs.LGarXiv:2609.04578v12026
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Hubert Baniecki, Przemyslaw Biecek
cs.CRcs.AIcs.CVarXiv:2306.06123v42023
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
Zifeng Guo, Joao P. Leitao, Nuno E. Simoes +1
cs.CVcs.CYcs.LGarXiv:2004.08340v22020
MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning
Ahmad Mousavi, Majid Alikhani, Yeon-Chang Lee +2
cs.IRcs.LGcs.SIarXiv:2609.04574v12026
Machine Unlearning under Retain-Forget Entanglement
Jingpu Cheng, Ping Liu, Qianxiao Li +1
cs.LGarXiv:2603.26569v12026
Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey
Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang +1
cs.CRcs.HCcs.LGarXiv:2001.08578v22020
Improving Flow Matching by Aligning Flow Divergence
Yuhao Huang, Taos Transue, Shih-Hsin Wang +3
cs.LGcs.AImath.NAarXiv:2602.00869v12026
High-Fidelity Image Generation With Fewer Labels
Mario Lucic, Michael Tschannen, Marvin Ritter +3
cs.LGcs.CVstat.MLarXiv:1903.02271v22019
Practical One-Shot Federated Learning for Cross-Silo Setting
Qinbin Li, Bingsheng He, Dawn Song
cs.LGstat.MLarXiv:2010.01017v22020
Reward (Mis)design for Autonomous Driving
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf +2
cs.LGarXiv:2104.13906v22021
Co-learning: Learning from Noisy Labels with Self-supervision
Cheng Tan, Jun Xia, Lirong Wu +1
cs.LGarXiv:2108.04063v42021
WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning
Gagan Mundada, Zihan Huang, Rohan Surana +8
cs.LGarXiv:2602.17025v12026
Optimal Rates for Agentic Networked Information Aggregation
MohammadHossein Bateni, Zahra Hadizadeh, MohammadTaghi Hajiaghayi +2
cs.LGcs.GTecon.THarXiv:2609.05318v12026
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Eric Martin, Chris Cundy
cs.NEcs.AIcs.LGarXiv:1709.04057v22017
MomentQuant: an even more minimalist interval method with linear time complexity for time series classification
Johann Faouzi
cs.LGarXiv:2609.05136v12026
FedDRAW: Federated Dual Reputation Annealing Weighting for Heterogeneous Multi-Institutional Chest Radiograph Classification
Maryam Moradpour, Anne-Christin Hauschild
cs.LGarXiv:2609.05223v12026
Towards Execution-Grounded Automated AI Research
Chenglei Si, Zitong Yang, Yejin Choi +3
cs.CLcs.AIcs.LGarXiv:2601.14525v12026
From 80x to 385x: A Best-Matching-Unit Search at the L2 Roof, Measured Against a Symmetrically Tuned Baseline
Andrew James Amos
cs.LGarXiv:2609.05138v12026
Latent Multi-task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein +1
stat.MLcs.AIcs.CLarXiv:1705.08142v32017
State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space
Ji Guo, Wenbo Jiang, Yansong Lin +6
cs.CRcs.LGarXiv:2601.04266v22026
Single-Query Black-Box Calibration Auditing via Logit Bias
Roman Plaud, Antoine Saillenfest, Matthieu Labeau +2
cs.LGarXiv:2609.05125v12026
Quantum noise protects quantum classifiers against adversaries
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu +2
quant-phcs.LGarXiv:2003.09416v12020
Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers
Opegbemi Matthias Busoye, Tolulope Matthew Busoye, Eghonghon-aye Eigbe
cs.LGarXiv:2609.05081v12026
GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection
Xudong Wang, Chris Ding, Tongxin Li +1
cs.LGarXiv:2609.05253v12026
Hessian-based molecular conformation augmentation for a scalable and efficient strategy of machine learning interatomic potentials
Bumju Kwak, Jeonghee Jo
cs.LGphysics.chem-pharXiv:2609.05233v12026
Listening while Speaking: Speech Chain by Deep Learning
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
cs.CLcs.LGcs.SDarXiv:1707.04879v12017
Geoopt: Riemannian Optimization in PyTorch
Max Kochurov, Rasul Karimov, Serge Kozlukov
cs.CGcs.LGarXiv:2005.02819v52020
Dimension-Adaptive Batched Lipschitz Narrowing Without Knowing the Zooming Dimension
Yasong Feng
cs.LGarXiv:2609.05214v12026
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang, Haohan Wang, Diyi Yang
cs.CLcs.LGarXiv:2112.08313v22021
Birth of a Transformer: A Memory Viewpoint
Alberto Bietti, Vivien Cabannes, Diane Bouchacourt +2
stat.MLcs.CLcs.LGarXiv:2306.00802v22023
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.NEmath.OCarXiv:2005.10190v42020
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
Ziru Chen, Shijie Chen, Yuting Ning +17
cs.CLcs.AIcs.LGarXiv:2410.05080v32024
Coarse-Graining Hidden Representations: Unsupervised Neuron Selection via Mapping Entropy
Margherita Mele, Andrea Castagna, Roberto Menichetti +2
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2609.05126v12026
Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise
Dingzhi Yu, Hongyi Tao, Yuanyu Wan +2
cs.LGcs.CLmath.OCarXiv:2602.07425v22026
TriMap: Large-scale Dimensionality Reduction Using Triplets
Ehsan Amid, Manfred K. Warmuth
cs.LGstat.MLarXiv:1910.00204v22019

Machine Learning

Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving

Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning

AQAScore: Evaluating Semantic Alignment in Text-to-Audio Generation via Audio Question Answering

FluxDisco: Symbolic Regression for Stoichiometric Dynamical Systems via Monte Carlo Graph Search

Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework

An Alternative Probabilistic Interpretation of the Huber Loss

Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks

Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming

An Analysis of Self-supervised Pre-training with Dependent Samples

On the Generalization Capacities of MLLMs for Spatial Intelligence

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation

LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation

Sustainable Edge Vision via Empirically Calibrated DVFS: Eliminating Thermal Throttling on Passively Cooled Hardware

IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation

RF-GPT: Teaching AI to See the Wireless World

An improvement of the convergence proof of the ADAM-Optimizer

Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation

Embedded Graph Flows for Categorical Graph Generation

Variational Continuation for Double Pendulum Periodic Orbits

Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar

How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method

A Differentiable Neural Surrogate for Photon Propagation in Neutrino Telescopes

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XR

Centered Permutation Prefixes for SGD with Random Reshuffling: Sharp Rates, Hölder Geometry, and Composite Proximal Extensions

Adversarial attacks and defenses in explainable artificial intelligence: A survey

Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks

MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning

Machine Unlearning under Retain-Forget Entanglement

Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey

Improving Flow Matching by Aligning Flow Divergence

High-Fidelity Image Generation With Fewer Labels

Practical One-Shot Federated Learning for Cross-Silo Setting

Reward (Mis)design for Autonomous Driving

Co-learning: Learning from Noisy Labels with Self-supervision

WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning

Optimal Rates for Agentic Networked Information Aggregation

Parallelizing Linear Recurrent Neural Nets Over Sequence Length

MomentQuant: an even more minimalist interval method with linear time complexity for time series classification

FedDRAW: Federated Dual Reputation Annealing Weighting for Heterogeneous Multi-Institutional Chest Radiograph Classification

Towards Execution-Grounded Automated AI Research

From 80x to 385x: A Best-Matching-Unit Search at the L2 Roof, Measured Against a Symmetrically Tuned Baseline

Latent Multi-task Architecture Learning

State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space

Single-Query Black-Box Calibration Auditing via Logit Bias

Quantum noise protects quantum classifiers against adversaries

Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers

GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection

Hessian-based molecular conformation augmentation for a scalable and efficient strategy of machine learning interatomic potentials

Listening while Speaking: Speech Chain by Deep Learning

Geoopt: Riemannian Optimization in PyTorch

Dimension-Adaptive Batched Lipschitz Narrowing Without Knowing the Zooming Dimension

Measure and Improve Robustness in NLP Models: A Survey

Birth of a Transformer: A Memory Viewpoint

Feature Purification: How Adversarial Training Performs Robust Deep Learning

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Coarse-Graining Hidden Representations: Unsupervised Neuron Selection via Mapping Entropy

Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise

TriMap: Large-scale Dimensionality Reduction Using Triplets