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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10,741 to 10,800 of 20,193

What Do Interaction Representations Actually Measure? Pre-Event Separability in Weakly-Supervised Violence Detection
Parishruthi Ganesh
cs.CVcs.LGarXiv:2608.27879v12026
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang +1
cs.CLcs.AIcs.LGarXiv:2303.04360v22023
Fast-Convergent Federated Learning
Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour +3
cs.LGcs.DCarXiv:2007.13137v22020
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches
Sarfaraz Hussein, Pujan Kandel, Candice W. Bolan +2
cs.CVcs.AIcs.LGarXiv:1801.03230v32018
Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design
Chuhan Yang, Chenxi Wang, Linhan Wu +1
math.OCcs.LGarXiv:2608.27873v12026
On Sampling Strategies for Neural Network-based Collaborative Filtering
Ting Chen, Yizhou Sun, Yue Shi +1
cs.LGcs.IRcs.SIarXiv:1706.07881v12017
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu, Wei Cheng, Dongsheng Luo +2
cs.LGarXiv:2110.15438v12021
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Aditi Raghunathan, Sang Michael Xie, Fanny Yang +2
cs.LGstat.MLarXiv:2002.10716v22020
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Bishan Yang, Tom Mitchell
cs.CLcs.AIcs.LGarXiv:1902.09091v12019
Advancing Interaction-Sensitive Feature Selection: Novel Relief-Based Algorithms, Expanded Comparisons, and Recommendations for Biomedical Data Mining
Kia Kazemi-Nia, Harsh Bandhey, Philip J. Freda +1
cs.LGarXiv:2608.28552v12026
DARTS: Decoder-Aware Representation Tuning via Surgery for Model Merging
Aaryan Ajay Sharma, Sai Nishanth Padala, Seganrasan Subramanian
cs.LGarXiv:2608.28547v12026
Model-Based Reinforcement Learning via Meta-Policy Optimization
Ignasi Clavera, Jonas Rothfuss, John Schulman +3
cs.LGcs.AIstat.MLarXiv:1809.05214v12018
QGPINNs: A Physics-Informed Neural Network Framework for Nonlocal Differential Equations on Quantum Graphs
Vaibhav Mehandiratta, Saket Ramchandra
cs.LGmath.NAarXiv:2608.28589v12026
REPLICANT: Learning Policies for Evading and Hardening Malware Detectors
Shae McFadden, Ilias Tsingenopoulos, Mario D'Onghia +5
cs.LGcs.CRarXiv:2608.28499v12026
Memorizing Transformers
Yuhuai Wu, Markus N. Rabe, DeLesley Hutchins +1
cs.LGcs.AIcs.CLarXiv:2203.08913v12022
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Huizi Mao, Song Han, Jeff Pool +4
cs.LGstat.MLarXiv:1705.08922v32017
Delving into adversarial attacks on deep policies
Jernej Kos, Dawn Song
stat.MLcs.LGarXiv:1705.06452v12017
Euclidean Fourier Neural Operators
Nathanael Bosch, Niklas Frederik Schmitz, Michael F. Herbst
cs.LGcond-mat.mtrl-sciphysics.comp-pharXiv:2608.28425v12026
Spectral Features Dominate BCG Respiratory-Event Detection: A Large-Scale Patient-Independent Comparison of Feature Groups in Sleep Apnea Patients
Israel Campero Jurado, Zoe Bousraou, Lara Benning +5
cs.LGarXiv:2608.28242v12026
Efficient Online Continual Foundation Model Fine-Tuning for Predictive Process Monitoring
Sjoerd van Straten, Marwan Hassani
cs.LGarXiv:2608.28237v12026
AI Benchmark: All About Deep Learning on Smartphones in 2019
Andrey Ignatov, Radu Timofte, Andrei Kulik +6
cs.PFcs.LGarXiv:1910.06663v12019
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
John Yang, Akshara Prabhakar, Karthik Narasimhan +1
cs.CLcs.LGcs.SEarXiv:2306.14898v32023
SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature Engineering on Tabular Data
Zi-Jian Cheng, Zi-Yi Jia, Zhi Zhou +2
cs.LGarXiv:2608.28408v12026
Scaling Autoregressive Video Models
Dirk Weissenborn, Oscar Täckström, Jakob Uszkoreit
cs.CVcs.AIcs.LGarXiv:1906.02634v32019
Parser States Already Know: Structure-Conditioned KV Persistence for Structured Generation
Linze Wu, Xinrui Chen
cs.LGarXiv:2608.28276v12026
Spectral Bias and Task-Model Alignment Explain Generalization in Kernel Regression and Infinitely Wide Neural Networks
Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
stat.MLcond-mat.dis-nncs.LGarXiv:2006.13198v62020
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
math.OCcs.DScs.LGarXiv:1708.08694v42017
DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-chip Training
Xiaochen Peng, Shanshi Huang, Hongwu Jiang +2
cs.ETcs.LGarXiv:2003.06471v12020
An algebraic proof of Colombo's difference-power determinant conjecture
Kun Li, Li Tie, Peng Wang +1
cs.LGmath.RAarXiv:2608.28274v12026
Learning to Transfer Across Modes: Towards Unified Urban Mobility Forecasting
Yixuan Zhao, Man Luo
cs.LGarXiv:2608.28273v12026
Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD
Jianyu Wang, Gauri Joshi
cs.LGcs.DCstat.MLarXiv:1810.08313v22018
Residual-Guided Randomized Neural Networks
Mushir Akhtar, M. Tanveer, Mohd. Arshad
cs.LGarXiv:2608.28267v12026
Learning Model-Agnostic Counterfactual Explanations for Tabular Data
Martin Pawelczyk, Johannes Haug, Klaus Broelemann +1
cs.LGstat.MLarXiv:1910.09398v22019
SinkSLOT: Sinkhorn via Sparse Lifted Optimal Transport
Ian Hsieh, Soumya Snigdha Kundu, Tom Vercauteren +1
cs.LGarXiv:2608.28262v12026
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Yu-Xiang Wang, Stephen E. Fienberg, Alex Smola
stat.MLcs.LGarXiv:1502.07645v22015
Bridging the Gap to Real-World Object-Centric Learning
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk +8
cs.CVcs.LGarXiv:2209.14860v22022
A Survey on Graph Representation Learning Methods
Shima Khoshraftar, Aijun An
cs.LGcs.SIarXiv:2204.01855v22022
D-TAIA: Domain-Aware LLM Adaptation for Multi-Task Predictive Process Monitoring
Sjoerd van Straten, Christine Jacob, Marwan Hassani
cs.LGarXiv:2608.28236v12026
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
Rongjie Huang, Zhou Zhao, Huadai Liu +3
eess.AScs.LGcs.SDarXiv:2207.06389v12022
Generalized Gibbs Ensemble Weighting for Forecast Combination
Prasen R. Nuthanakaluva, Nava K. Gaddam
cs.LGstat.MLarXiv:2608.28116v12026
Is Monte Carlo Tree Search Just Every-Visit Monte Carlo Control?
Xianyi Wu
cs.LGarXiv:2608.27985v12026
Sylvester Normalizing Flows for Variational Inference
Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak +1
stat.MLcs.AIcs.LGarXiv:1803.05649v22018
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization
Jacob Abernethy, Francis Bach, Theodoros Evgeniou +1
cs.LGarXiv:0802.1430v22008
A Survey on Kolmogorov-Arnold Network
Shriyank Somvanshi, Syed Aaqib Javed, Md Monzurul Islam +2
cs.LGarXiv:2411.06078v12024
HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Trees
Boyuan Meng, Peihua Bao, Hong Liu +4
cs.LGcs.DCarXiv:2608.28158v12026
Offline A/B testing for Recommender Systems
Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec +2
stat.MLcs.LGarXiv:1801.07030v12018
Exact Risk Ratios for Weighted Data Selection in Linear Regression
Guangjian Zhang
cs.LGmath.STarXiv:2608.28007v12026
Deep Neural Network Approximation Theory
Dennis Elbrächter, Dmytro Perekrestenko, Philipp Grohs +1
cs.LGcs.ITstat.MLarXiv:1901.02220v42019
Matcha-TTS: A fast TTS architecture with conditional flow matching
Shivam Mehta, Ruibo Tu, Jonas Beskow +2
eess.AScs.HCcs.LGarXiv:2309.03199v22023
TACIT-Switch: Cost-Aware Model Escalation for LLM Agents from Censored Supervision
Ji'an Lei, Jian Huang
cs.LGarXiv:2608.27911v12026
In-Context Unlearning: Language Models as Few Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju
cs.LGcs.AIcs.CRarXiv:2310.07579v42023
Data Noising as Smoothing in Neural Network Language Models
Ziang Xie, Sida I. Wang, Jiwei Li +4
cs.LGcs.CLarXiv:1703.02573v12017
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding
Xiaosong Jia, Penghao Wu, Li Chen +3
cs.AIcs.CVcs.LGarXiv:2205.09753v22022
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
Tengyuan Liang, Tomaso Poggio, Alexander Rakhlin +1
cs.LGcs.AIstat.MLarXiv:1711.01530v22017
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
Bing Luo, Wenli Xiao, Shiqiang Wang +2
cs.LGcs.AIcs.DCarXiv:2112.11256v12021
Personalized Prompt Learning for Explainable Recommendation
Lei Li, Yongfeng Zhang, Li Chen
cs.IRcs.AIcs.CLarXiv:2202.07371v22022
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Hao Cheng, Zhaowei Zhu, Xingyu Li +3
cs.LGstat.MLarXiv:2010.02347v22020
Indoor Signal Focusing with Deep Learning Designed Reconfigurable Intelligent Surfaces
Chongwen Huang, George C. Alexandropoulos, Chau Yuen +1
cs.ITcs.LGarXiv:1905.07726v12019
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
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
Silviu-Marian Udrescu, Andrew Tan, Jiahai Feng +3
cs.LGcs.AIcs.ITarXiv:2006.10782v22020

Machine Learning

What Do Interaction Representations Actually Measure? Pre-Event Separability in Weakly-Supervised Violence Detection

Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Fast-Convergent Federated Learning

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design

On Sampling Strategies for Neural Network-based Collaborative Filtering

InfoGCL: Information-Aware Graph Contrastive Learning

Understanding and Mitigating the Tradeoff Between Robustness and Accuracy

Leveraging Knowledge Bases in LSTMs for Improving Machine Reading

Advancing Interaction-Sensitive Feature Selection: Novel Relief-Based Algorithms, Expanded Comparisons, and Recommendations for Biomedical Data Mining

DARTS: Decoder-Aware Representation Tuning via Surgery for Model Merging

Model-Based Reinforcement Learning via Meta-Policy Optimization

QGPINNs: A Physics-Informed Neural Network Framework for Nonlocal Differential Equations on Quantum Graphs

REPLICANT: Learning Policies for Evading and Hardening Malware Detectors

Memorizing Transformers

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks

Delving into adversarial attacks on deep policies

Euclidean Fourier Neural Operators

Spectral Features Dominate BCG Respiratory-Event Detection: A Large-Scale Patient-Independent Comparison of Feature Groups in Sleep Apnea Patients

Efficient Online Continual Foundation Model Fine-Tuning for Predictive Process Monitoring

AI Benchmark: All About Deep Learning on Smartphones in 2019

InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback

SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature Engineering on Tabular Data

Scaling Autoregressive Video Models

Parser States Already Know: Structure-Conditioned KV Persistence for Structured Generation

Spectral Bias and Task-Model Alignment Explain Generalization in Kernel Regression and Infinitely Wide Neural Networks

Natasha 2: Faster Non-Convex Optimization Than SGD

DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-chip Training

An algebraic proof of Colombo's difference-power determinant conjecture

Learning to Transfer Across Modes: Towards Unified Urban Mobility Forecasting

Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD

Residual-Guided Randomized Neural Networks

Learning Model-Agnostic Counterfactual Explanations for Tabular Data

SinkSLOT: Sinkhorn via Sparse Lifted Optimal Transport

Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo

Bridging the Gap to Real-World Object-Centric Learning

A Survey on Graph Representation Learning Methods

D-TAIA: Domain-Aware LLM Adaptation for Multi-Task Predictive Process Monitoring

ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech

Generalized Gibbs Ensemble Weighting for Forecast Combination

Is Monte Carlo Tree Search Just Every-Visit Monte Carlo Control?

Sylvester Normalizing Flows for Variational Inference

A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization

A Survey on Kolmogorov-Arnold Network

HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Trees

Offline A/B testing for Recommender Systems

Exact Risk Ratios for Weighted Data Selection in Linear Regression

Deep Neural Network Approximation Theory

Matcha-TTS: A fast TTS architecture with conditional flow matching

TACIT-Switch: Cost-Aware Model Escalation for LLM Agents from Censored Supervision

In-Context Unlearning: Language Models as Few Shot Unlearners

Data Noising as Smoothing in Neural Network Language Models

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

Fisher-Rao Metric, Geometry, and Complexity of Neural Networks

Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling

Personalized Prompt Learning for Explainable Recommendation

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Indoor Signal Focusing with Deep Learning Designed Reconfigurable Intelligent Surfaces

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

AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity