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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21,361 to 21,420 of 33,310

Fair Resource Allocation in Multi-Task Learning
Hao Ban, Kaiyi Ji
cs.LGarXiv:2402.15638v22024
Operator Packages, Proposer Strength, and Construction-Family Plateaus in Office-Scale Verified Search
Roberto I. Ono Filho
cs.CLcs.AIcs.LGarXiv:2609.29636v12026
Not Enough Data? Deep Learning to the Rescue!
Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich +5
cs.CLcs.LGarXiv:1911.03118v22019
Marginalized Operators for Off-policy Reinforcement Learning
Yunhao Tang, Mark Rowland, Rémi Munos +1
cs.LGstat.MLarXiv:2203.16177v12022
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan, Thorsten Joachims
cs.LGstat.MLarXiv:1502.02362v22015
ImJoy: an open-source computational platform for the deep learning era
Wei Ouyang, Florian Mueller, Martin Hjelmare +2
cs.LGq-bio.QMstat.MLarXiv:1905.13105v12019
When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization
Yanlong Zhao, Xiaoyuan Cheng, Huihang Liu +6
cs.AIcs.LGstat.MLarXiv:2610.11226v12026
Probabilistic Logic Neural Networks for Reasoning
Meng Qu, Jian Tang
cs.LGcs.AIstat.MLarXiv:1906.08495v22019
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao, Wei Jin, Leman Akoglu +1
cs.LGstat.MLarXiv:2110.03753v32021
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Aviral Kumar, Rishabh Agarwal, Dibya Ghosh +1
cs.LGstat.MLarXiv:2010.14498v22020
On Measuring Long-Range Interactions in Graph Neural Networks
Jacob Bamberger, Benjamin Gutteridge, Scott le Roux +2
cs.LGcs.AIarXiv:2506.05971v12025
TEMPLAR Wales: A georeferenced environmental and toponymic dataset of Welsh settlements
Oktay Karakuş, Can Eyupoglu
cs.LGcs.CLarXiv:2608.26970v12026
PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems
Suraj Ranganath, Anish Raghavendra
cs.LGcs.AIcs.DBarXiv:2606.08481v12026
On Calibration of Modern Neural Networks
Chuan Guo, Geoff Pleiss, Yu Sun +1
cs.LGarXiv:1706.04599v22017
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Po-Sen Huang, Huan Zhang, Ray Jiang +6
cs.CLcs.CYcs.LGarXiv:1911.03064v32019
Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
Haocheng Xi, Shuo Yang, Yilong Zhao +13
cs.LGarXiv:2602.02958v52026
Machine Learning in the Air
Deniz Gunduz, Paul de Kerret, Nicholas D. Sidiropoulos +3
cs.ITcs.AIcs.LGarXiv:1904.12385v12019
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx
Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz +2
cs.LGcs.AIstat.MLarXiv:2104.05522v62021
Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices
Shyamal Y. Dharia, Stephen D. Smith, Camilo E. Valderrama
cs.LGcs.AIarXiv:2607.18149v12026
HDLTex: Hierarchical Deep Learning for Text Classification
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa +3
cs.LGcs.AIcs.CLarXiv:1709.08267v22017
Understanding Latent-Dimension Scaling in Dynamical-System Learning through Spectral Reliability
Itsushi Sakata, Yuta Miyauchi, Yoshinobu Kawahara
cs.LGmath.DSnlin.CDarXiv:2610.11866v12026
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
Xinshuo Weng, Yongxin Wang, Yunze Man +1
cs.CVcs.LGeess.IVarXiv:2006.07327v12020
Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models
Femi Bello, Anubrata Das, Fanzhi Zeng +2
cs.LGcs.AIcs.CLarXiv:2506.00653v32025
Privacy Aware Learning
John C. Duchi, Michael I. Jordan, Martin J. Wainwright
stat.MLcs.ITcs.LGarXiv:1210.2085v22012
Improved Conditional VRNNs for Video Prediction
Lluis Castrejon, Nicolas Ballas, Aaron Courville
cs.CVcs.LGarXiv:1904.12165v12019
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
Soroush Nasiriany, Huihan Liu, Yuke Zhu
cs.LGcs.AIcs.ROarXiv:2110.03655v32021
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
Khanh Nguyen, Debadeepta Dey, Chris Brockett +1
cs.LGcs.CLcs.CVarXiv:1812.04155v42018
When Behavioral Safety Evaluation Fails: A Representation-Level Perspective
Enyi Jiang, Anders Gjølbye, Yibo Jacky Zhang +1
cs.LGcs.AIcs.CLarXiv:2606.08044v22026
Low-Cost Sensor Calibration for Indoor Air Quality Monitoring: A Dataset, Evaluation Scenarios, and a Lightweight Model
Jinyong Yun, Seokho Ahn, Hyungjin Kim +2
cs.LGarXiv:2610.11236v12026
Flow-based generative models for Markov chain Monte Carlo in lattice field theory
M. S. Albergo, G. Kanwar, P. E. Shanahan
hep-latcond-mat.dis-nncond-mat.stat-mecharXiv:1904.12072v32019
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
Kaiqing Zhang, Alec Koppel, Hao Zhu +1
math.OCcs.LGeess.SYarXiv:1906.08383v32019
A Comprehensive Survey on Data Augmentation
Zaitian Wang, Pengfei Wang, Kunpeng Liu +6
cs.LGcs.AIarXiv:2405.09591v42024
Predictive Geometry of Hidden Trajectories in Transformers
Timur Mudarisov, Mikhail Burtsev, Tatiana Petrova +1
cs.LGcs.CLarXiv:2609.37717v12026
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
cs.LGcs.DScs.NEarXiv:1811.03962v52018
Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency
Itay Elam, Eliron Rahimi, Avi Mendelson +1
cs.LGarXiv:2606.07881v12026
Gromov-Monge Flow Matching for Equivariant Graph Generation
Moritz Piening, Christian Wald
cs.LGmath.OCstat.MLarXiv:2608.26961v12026
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection
David Zimmerer, Simon A. A. Kohl, Jens Petersen +2
cs.LGstat.MLarXiv:1812.05941v12018
"I May Not Have Articulated Myself Clearly": Diagnosing Dynamic Instability in LLM Reasoning at Inference Time
Jinkun Chen, Fengxiang Cheng, Sijia Han +1
cs.AIcs.LGarXiv:2602.02863v12026
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective
Xianfu Chen, Celimuge Wu, Tao Chen +4
cs.AIcs.LGarXiv:1908.02047v22019
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li, Zhen Wang, Yankai Chen +3
cs.LGarXiv:2405.00334v22024
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao Lin, Lingjing Kong, Sebastian U. Stich +1
cs.LGstat.MLarXiv:2006.07242v32020
Encrypt What Matters: When Selective Homomorphic Inference Is Efficient
Ali Backour, Juan Reyes, Jaime Punyed +1
cs.CRcs.LGarXiv:2609.09357v12026
Adaptive Second-Order Solvers for Fast Stochastic Diffusion Sampling
Ella Kemperman, Luca Ambrogioni
cs.LGcs.CLcs.CVarXiv:2610.03034v12026
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay
Yifan Sun, Jingyan Shen, Yibin Wang +4
cs.LGcs.AIcs.CLarXiv:2506.05316v42025
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Rinon Gal, Or Patashnik, Haggai Maron +2
cs.CVcs.CLcs.GRarXiv:2108.00946v22021
QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang, Zhizhou Ren, Terry Liu +2
cs.LGcs.AIcs.MAarXiv:2008.01062v32020
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Yangsibo Huang, Zhao Song, Kai Li +1
cs.CRcs.CCcs.DSarXiv:2010.02772v22020
CaliPPer: quantifying, predicting and improving AI model performance for binding prediction
Jian-Qing Zheng, Hantao Lou, Zinan Yin +6
cs.CEcs.AIcs.LGarXiv:2606.07258v12026
RAPTOR: RAndom-projection Physics-informed Transient sOlveR
Petros Ellinas, Benjamin Vilmann, Spyros Chatzivasileiadis +1
eess.SYcs.LGcs.MSarXiv:2609.29714v12026
Vision Foundation Model Embedding-Based Semantic Anomaly Detection
Max Peter Ronecker, Matthew Foutter, Amine Elhafsi +4
cs.CVcs.LGarXiv:2505.07998v12025
Convolutional Radio Modulation Recognition Networks
Timothy J O'Shea, Johnathan Corgan, T. Charles Clancy
cs.LGcs.CVarXiv:1602.04105v32016
Benchmarking Sensor Robustness in Plasma Diagnostic Models: A Systematic Evaluation on TokaMark
Neerav Gupta
physics.plasm-phcs.LGarXiv:2607.11915v12026
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu, Hongming Pu, Feicheng Wang +2
cs.LGarXiv:1709.02540v32017
Tackling the Curse of Dimensionality with Physics-Informed Neural Networks
Zheyuan Hu, Khemraj Shukla, George Em Karniadakis +1
cs.LGcs.AImath.DSarXiv:2307.12306v62023
Neural Network Matrix Factorization
Gintare Karolina Dziugaite, Daniel M. Roy
cs.LGstat.MLarXiv:1511.06443v22015
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding
Ailin Deng, Zhirui Chen, Bryan Hooi
cs.CVcs.AIcs.CLarXiv:2402.15300v22024
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang +50
cs.DCcs.AIcs.LGarXiv:2104.05158v72021
Faster-WAM: Do World Action Models Need Deep Action Modules?
Liheng Ma, Rui Heng Yang, Zhanguang Zhang +4
cs.AIcs.LGcs.ROarXiv:2608.02365v12026
VLA-Touch: Enhancing Vision-Language-Action Models with Dual-Level Tactile Feedback
Jianxin Bi, Kevin Yuchen Ma, Ce Hao +2
cs.ROcs.LGarXiv:2507.17294v22025
Summaries:简体中文
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
Meisam Razaviyayn, Tianjian Huang, Songtao Lu +3
math.OCcs.LGstat.MLarXiv:2006.08141v22020

Machine Learning

Fair Resource Allocation in Multi-Task Learning

Operator Packages, Proposer Strength, and Construction-Family Plateaus in Office-Scale Verified Search

Not Enough Data? Deep Learning to the Rescue!

Marginalized Operators for Off-policy Reinforcement Learning

Counterfactual Risk Minimization: Learning from Logged Bandit Feedback

ImJoy: an open-source computational platform for the deep learning era

When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization

Probabilistic Logic Neural Networks for Reasoning

From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness

Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

On Measuring Long-Range Interactions in Graph Neural Networks

TEMPLAR Wales: A georeferenced environmental and toponymic dataset of Welsh settlements

PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems

On Calibration of Modern Neural Networks

Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization

Machine Learning in the Air

Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx

Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices

HDLTex: Hierarchical Deep Learning for Text Classification

Understanding Latent-Dimension Scaling in Dynamical-System Learning through Spectral Reliability

GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning

Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models

Privacy Aware Learning

Improved Conditional VRNNs for Video Prediction

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks

Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective

Low-Cost Sensor Calibration for Indoor Air Quality Monitoring: A Dataset, Evaluation Scenarios, and a Lightweight Model

Flow-based generative models for Markov chain Monte Carlo in lattice field theory

Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies

A Comprehensive Survey on Data Augmentation

Predictive Geometry of Hidden Trajectories in Transformers

A Convergence Theory for Deep Learning via Over-Parameterization

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency

Gromov-Monge Flow Matching for Equivariant Graph Generation

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection

"I May Not Have Articulated Myself Clearly": Diagnosing Dynamic Instability in LLM Reasoning at Inference Time

Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective

A Survey on Deep Active Learning: Recent Advances and New Frontiers

Ensemble Distillation for Robust Model Fusion in Federated Learning

Encrypt What Matters: When Selective Homomorphic Inference Is Efficient

Adaptive Second-Order Solvers for Fast Stochastic Diffusion Sampling

Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators

QPLEX: Duplex Dueling Multi-Agent Q-Learning

InstaHide: Instance-hiding Schemes for Private Distributed Learning

CaliPPer: quantifying, predicting and improving AI model performance for binding prediction

RAPTOR: RAndom-projection Physics-informed Transient sOlveR

Vision Foundation Model Embedding-Based Semantic Anomaly Detection

Convolutional Radio Modulation Recognition Networks

Benchmarking Sensor Robustness in Plasma Diagnostic Models: A Systematic Evaluation on TokaMark

The Expressive Power of Neural Networks: A View from the Width

Tackling the Curse of Dimensionality with Physics-Informed Neural Networks

Neural Network Matrix Factorization

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Faster-WAM: Do World Action Models Need Deep Action Modules?

VLA-Touch: Enhancing Vision-Language-Action Models with Dual-Level Tactile Feedback

Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances