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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19,441 to 19,500 of 20,192

Advancing Health Equity through Multi-Level Fairness in Health Informatics
Nick Souligne, Vignesh Subbian
cs.CYcs.LGarXiv:2608.16902v12026
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. Brendan McMahan, Eider Moore, Daniel Ramage +2
cs.LGarXiv:1602.05629v42016
Which CS1 Students Will Fail? Identifying Digital Markers from Learning Analytics in Computer Systems and Architecture Using Weighted Academic Momentum and Interaction Logs
Lighton Phiri, Mutune Chaibela, Ivy Chisha +3
cs.CYcs.LGarXiv:2608.16914v12026
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre +4
cs.CLcs.LGcs.NEarXiv:1406.1078v32014
Information fusion and machine learning for sensitivity analysis using physics knowledge and experimental data
Berkcan Kapusuzoglu, Sankaran Mahadevan
cs.CEcs.LGstat.MEarXiv:2608.17248v12026
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova +3
stat.MLcs.AIcs.LGarXiv:1710.10903v32017
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
Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication
Berkcan Kapusuzoglu, Sankaran Mahadevan
cs.LGcs.CEstat.COarXiv:2608.17246v12026
EMAN: Optimization-Driven Capacity Growth through Path Emergence in Multi-Task Learning
Chenlei Fang, Jingchen Li, Hongzong LI +5
cs.LGcs.AIarXiv:2608.16930v12026
CoupVisor: Strategy Optimization by Round and Challenge Decision Support
Cris Huynh
cs.AIcs.GTcs.LGarXiv:2608.15868v12026
High-Dimensional Nonparametric Change-Point Detection via Low-Rank Degree-Three Density Projection
Guoqing Zhang, Zhaixin Chen
cs.LGarXiv:2608.15466v12026
A Unified Approach to Interpreting Model Predictions
Scott Lundberg, Su-In Lee
cs.AIcs.LGstat.MLarXiv:1705.07874v22017
Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort +16
cs.LGcs.MSarXiv:1201.0490v42012
Resource-Efficient QUBO Formulation for Anchored Currency Arbitrage
Eric A. F. Reinhardt, Adam J. Hauser
quant-phcs.LGarXiv:2608.15889v12026
Generative Adversarial Networks
Gilad Cohen, Raja Giryes
cs.CVcs.LGarXiv:2203.00667v12022
Provenance, Not Behaviour: A Serialisation Artifact in Edge-IIoTset and a Leakage-Free Benchmark for Precision-Agriculture Intrusion Detection
Mostafa M. Galal
cs.CRcs.LGarXiv:2608.15761v12026
Guaranteed Adaptive Modality Acquisition: When the Policy Chooses Its Own Calibration Group
Melika Baghi
cs.LGarXiv:2608.15520v12026
When to Communicate: Belief Distributions and KL Divergence for Principled Gating in Multi-Agent RL
Teoman Kaman
cs.AIcs.LGarXiv:2608.14559v12026
Forward Pass Domain Adaptation (Without Cross-Layer Backpropagation)
Rivaan Patil, Simon Dennis, Hao Guo +1
cs.LGcs.AIarXiv:2608.14563v12026
MoFE: A Novel Mixture-of-Experts Framework with Fourier Neural Operators for Cryptocurrency Forecasting
Bowen Liu, Mingming Sun
cs.LGcs.AIarXiv:2608.17342v12026
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen +2
cs.CLcs.LGstat.MLarXiv:1310.4546v12013
Benchmarking Quantum Machine Learning for Power-System Attack Detection: Evaluation Choices Decide the Outcome Before the Models Do
Md Rezwanul Islam
cs.LGcs.CRstat.MLarXiv:2608.15617v12026
Semi-Supervised Classification with Graph Convolutional Networks
Thomas N. Kipf, Max Welling
cs.LGstat.MLarXiv:1609.02907v42016
Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why
Mohammadreza Armandpour, Fatih Ilhan, David Harrison +6
cs.LGcs.AIarXiv:2605.10889v12026
Rethinking Irregular Time Series Forecasting from the Perspective of Basis Functions
Rongwen Li, Changjian Chen
cs.LGcs.AIarXiv:2608.17284v12026
Thinking in a Low-Resource Language: What SFT Builds, What RL Fixes, What Accuracy Cannot See
Ayoub Kirouane, Christos Petrocheilos
cs.CLcs.LGcs.ROarXiv:2608.17744v12026
Structuring Semantic Embeddings for Principle Evaluation: A Prototype-Guided Contrastive Learning Approach
Che Shen, Junwei Su, Lingpeng Kong +1
cs.LGarXiv:2608.15224v12026
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI
Bohan Lyu, Yucheng Yang, Siqiao Huang +25
cs.LGarXiv:2605.08678v32026
Do Language Models Consistently Encode the Current Year?
Suze van Adrichem, Aditi Bhaskar, Diyi Yang +2
cs.CLcs.LGarXiv:2608.15507v12026
Early Cycle Charge Trajectory Generative Prediction and Full Life Cycle Health Management of Iron-Chromium Flow Batteries Based on FlowBD-E1
Suyang Zhuang, Zekun Jiang, Tianhang Zhou
cs.LGstat.MEarXiv:2608.14637v12026
More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts
Víctor Yeste, Paolo Rosso
cs.CLcs.AIcs.LGarXiv:2605.22641v32026
Large Language Models as Implicit Sociological Models: Reconstructing Voting Behaviour from Sociodemographic Profiles
Roman Neruda, Martin Bakoš, Josef Šlerka +3
cs.CYcs.CLcs.LGarXiv:2608.15871v12026
Quantum Models with Multi-Stage Training for Compositional Concept Generalization
Mina Abbaszadeh, Matilda Karabina Moore, Mehrnoosh Sadrzadeh +1
cs.LGarXiv:2608.15601v12026
Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning
Yanxi Chen, Weijie Shi, Yuexiang Xie +4
cs.LGcs.AIcs.CLarXiv:2606.20002v12026
Beyond Binary Priorities: Multi-Tier SLA Scheduling for Large Language Model Serving
Anders Vestrum, Arya Raeesi, Hanna Roed
cs.ARcs.DCcs.LGarXiv:2608.16336v12026
Architecture-Dependent Causal Transfer of Activation States Across Large Language Models
Fernando Cardenas Piepereit
cs.CLcs.LGarXiv:2608.16347v12026
A Data-Efficient Analytical Prior Machine Learning Framework for Sound Reduction Frequency Prediction in Helmholtz Resonators
Jiaming Li
cs.LGarXiv:2608.16873v22026
Margin-Regularized Structured Semantic Alignment for Brain-Language Correspondence
Jiaqi Wang, Huawen Hu, Shu Zhang
cs.CLcs.LGarXiv:2608.16975v12026
Random Quadratic Form with random forcing: Metastable synchronization by noise
Anna Shalova
math.PRcs.LGmath.DSarXiv:2608.16664v12026
Supervising the Path to Fine Scales: GalerkinFlow for Scientific-Field and Image Super-Resolution
Zikang Zhan
cs.CVcs.CEcs.LGarXiv:2608.16546v12026
Behaviour Is an Incomplete Measure of Reasoning Development: Cross-surface pre-arrival accessibility and the limits of developmental inference in a recurrent-depth reasoner
Simon Lam-Muir
cs.LGcs.AIarXiv:2608.16085v12026
One Residual with Three Reuses: A Wristband Front End for Gesture Sensing
Sam Rifaki
cs.LGcs.ARcs.HCarXiv:2608.16542v12026
Summaries:한국어
Pallas: A Proactive KV Cache Migration Framework for LLM Inference in AI-RAN
Tianhang Ding, Jianchun Liu, Hongli Xu
cs.LGarXiv:2608.16477v12026
Localized TabICLv2: Scaling Tabular In-Context Learning through k-NN
Beimnet Bekele Guta
cs.LGarXiv:2608.16429v12026
REFLEX: Reflexive Equilibrium Fixed-point Learning for Endogenous eXchanges
Vignesh Nagarajan, Shriraghav Ashok
cs.LGcs.CEcs.GTarXiv:2608.16155v12026
Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection
Bin Li, Dongdong Wang, Siyang Lu
cs.LGcs.AIcs.SEarXiv:2608.17965v12026
Beyond MSE: Rethinking the Evaluation Metric and Benchmarking for Irregular Time Series Forecasting
Rongwen Li, Haixin Xie, Xiao Wang +1
cs.LGcs.AIarXiv:2608.17293v12026
Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG for Alzheimer's Disease Detection
Chanwoo Park, Chanwoo Kim
cs.LGcs.AIarXiv:2608.17231v12026
Duration Aware Scheduling for ASR Serving Under Workload Drift
Darshan Makwana, Yash Jogi, Harsh Kotta +1
cs.LGarXiv:2603.11273v12026
The Data Manifold under the Microscope
Marios Koulakis, Constantin Seibold
cs.LGstat.MLarXiv:2606.15760v12026
Taylor-Calibrate: Principled Initialization for Hybrid Linear Attention Distillation
Zhongzhu Zhou, Qingyang Wu, Junxiong Wang +4
cs.LGcs.CLarXiv:2606.16429v12026
MVEB: Massive Video Embedding Benchmark
Adnan El Assadi, Roman Solomatin, Isaac Chung +13
cs.CVcs.IRcs.LGarXiv:2606.14958v12026
FastMix: Fast Data Mixture Optimization via Gradient Descent
Haoru Tan, Sitong Wu, Yanfeng Chen +5
cs.LGcs.AIarXiv:2606.14971v12026
A Gradient Perspective on RLVR Stability and Winner Advantage Policy Optimization
Prasanth YSS, Zhichen Ren, Rasa Hosseinzadeh +6
cs.LGarXiv:2606.16154v12026
A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets
Tejas Agrawal, Vu Le, Sumit Gulwani +1
cs.SEcs.AIcs.HCarXiv:2606.13802v12026
Longitudinal and Graph-Augmented Prediction of Adolescent Substance Use Onset in the ABCD Study
Yixuan He, Jinni Su, Yun Kang
cs.AIcs.CYcs.LGarXiv:2608.14578v12026
Squeeze-Release: Iterative Pruning with Exact Structural Minimization
Roman Denkin, Ida Akerholm, Prashant Singh +1
cs.LGcs.AIarXiv:2606.14346v12026
Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings
Shubhang Bhatnagar, Dheeraj Baiju, Narendra Ahuja
cs.CVcs.AIcs.LGarXiv:2606.15134v12026
Attacks on Machine-Text Detectors Retain Stylistic Fingerprints
Rafael Rivera Soto, Barry Chen, Nicholas Andrews
cs.CLcs.AIcs.LGarXiv:2505.14608v32025
ExpRL: Exploratory RL for LLM Mid-Training
Violet Xiang, Amrith Setlur, Chase Blagden +2
cs.LGarXiv:2606.17024v12026

Machine Learning

Advancing Health Equity through Multi-Level Fairness in Health Informatics

Communication-Efficient Learning of Deep Networks from Decentralized Data

Which CS1 Students Will Fail? Identifying Digital Markers from Learning Analytics in Computer Systems and Architecture Using Weighted Academic Momentum and Interaction Logs

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Information fusion and machine learning for sensitivity analysis using physics knowledge and experimental data

Graph Attention Networks

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

Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication

EMAN: Optimization-Driven Capacity Growth through Path Emergence in Multi-Task Learning

CoupVisor: Strategy Optimization by Round and Challenge Decision Support

High-Dimensional Nonparametric Change-Point Detection via Low-Rank Degree-Three Density Projection

A Unified Approach to Interpreting Model Predictions

Scikit-learn: Machine Learning in Python

Resource-Efficient QUBO Formulation for Anchored Currency Arbitrage

Generative Adversarial Networks

Provenance, Not Behaviour: A Serialisation Artifact in Edge-IIoTset and a Leakage-Free Benchmark for Precision-Agriculture Intrusion Detection

Guaranteed Adaptive Modality Acquisition: When the Policy Chooses Its Own Calibration Group

When to Communicate: Belief Distributions and KL Divergence for Principled Gating in Multi-Agent RL

Forward Pass Domain Adaptation (Without Cross-Layer Backpropagation)

MoFE: A Novel Mixture-of-Experts Framework with Fourier Neural Operators for Cryptocurrency Forecasting

Distributed Representations of Words and Phrases and their Compositionality

Benchmarking Quantum Machine Learning for Power-System Attack Detection: Evaluation Choices Decide the Outcome Before the Models Do

Semi-Supervised Classification with Graph Convolutional Networks

Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why

Rethinking Irregular Time Series Forecasting from the Perspective of Basis Functions

Thinking in a Low-Resource Language: What SFT Builds, What RL Fixes, What Accuracy Cannot See

Structuring Semantic Embeddings for Principle Evaluation: A Prototype-Guided Contrastive Learning Approach

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Do Language Models Consistently Encode the Current Year?

Early Cycle Charge Trajectory Generative Prediction and Full Life Cycle Health Management of Iron-Chromium Flow Batteries Based on FlowBD-E1

More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts

Large Language Models as Implicit Sociological Models: Reconstructing Voting Behaviour from Sociodemographic Profiles

Quantum Models with Multi-Stage Training for Compositional Concept Generalization

Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning

Beyond Binary Priorities: Multi-Tier SLA Scheduling for Large Language Model Serving

Architecture-Dependent Causal Transfer of Activation States Across Large Language Models

A Data-Efficient Analytical Prior Machine Learning Framework for Sound Reduction Frequency Prediction in Helmholtz Resonators

Margin-Regularized Structured Semantic Alignment for Brain-Language Correspondence

Random Quadratic Form with random forcing: Metastable synchronization by noise

Supervising the Path to Fine Scales: GalerkinFlow for Scientific-Field and Image Super-Resolution

Behaviour Is an Incomplete Measure of Reasoning Development: Cross-surface pre-arrival accessibility and the limits of developmental inference in a recurrent-depth reasoner

One Residual with Three Reuses: A Wristband Front End for Gesture Sensing

Pallas: A Proactive KV Cache Migration Framework for LLM Inference in AI-RAN

Localized TabICLv2: Scaling Tabular In-Context Learning through k-NN

REFLEX: Reflexive Equilibrium Fixed-point Learning for Endogenous eXchanges

Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection

Beyond MSE: Rethinking the Evaluation Metric and Benchmarking for Irregular Time Series Forecasting

Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG for Alzheimer's Disease Detection

Duration Aware Scheduling for ASR Serving Under Workload Drift

The Data Manifold under the Microscope

Taylor-Calibrate: Principled Initialization for Hybrid Linear Attention Distillation

MVEB: Massive Video Embedding Benchmark

FastMix: Fast Data Mixture Optimization via Gradient Descent

A Gradient Perspective on RLVR Stability and Winner Advantage Policy Optimization

A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets

Longitudinal and Graph-Augmented Prediction of Adolescent Substance Use Onset in the ABCD Study

Squeeze-Release: Iterative Pruning with Exact Structural Minimization

Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings

Attacks on Machine-Text Detectors Retain Stylistic Fingerprints

ExpRL: Exploratory RL for LLM Mid-Training