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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24,061 to 24,120 of 33,225

Deep Clustering and Conventional Networks for Music Separation: Stronger Together
Yi Luo, Zhuo Chen, John R. Hershey +2
stat.MLcs.LGcs.SDarXiv:1611.06265v22016
Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
Jonas Geiping, Xinyu Yang, Guinan Su
cs.LGcs.CLarXiv:2510.14961v12025
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
Lianhui Qin, Sean Welleck, Daniel Khashabi +1
cs.CLcs.AIcs.LGarXiv:2202.11705v32022
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang, Meiqi Zhu, Deyu Bo +3
cs.LGcs.SIeess.SParXiv:2007.02265v22020
Batch Active Learning Using Determinantal Point Processes
Erdem Bıyık, Kenneth Wang, Nima Anari +1
cs.LGstat.MLarXiv:1906.07975v12019
Query-Based Adversarial Prompt Generation
Jonathan Hayase, Ema Borevkovic, Nicholas Carlini +2
cs.CLcs.AIcs.CRarXiv:2402.12329v22024
QGPINNs: A Physics-Informed Neural Network Framework for Nonlocal Differential Equations on Quantum Graphs
Vaibhav Mehandiratta, Saket Ramchandra
cs.LGmath.NAarXiv:2608.28589v12026
Measuring the Algorithmic Efficiency of Neural Networks
Danny Hernandez, Tom B. Brown
cs.LGcs.CVstat.MLarXiv:2005.04305v12020
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
Xujiang Zhao, Yuzhe Ou, Lance Kaplan +2
cs.LGcs.AIcs.CVarXiv:1910.06864v12019
New Lower Bound and Upper Bounds on the Regret for Online Sparse Linear Regression
Xiaofeng Cao, Junfan Li, Langzhang Liang +2
cs.LGarXiv:2610.11551v12026
Heterogeneous domain adaptation: An unsupervised approach
Feng Liu, Guanquan Zhang, Jie Lu
cs.LGstat.MLarXiv:1701.02511v52017
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder
Daehyung Park, Yuuna Hoshi, Charles C. Kemp
cs.ROcs.LGarXiv:1711.00614v12017
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components
Tommaso Dreossi, Alexandre Donzé, Sanjit A. Seshia
eess.SYcs.LGcs.SEarXiv:1703.00978v32017
Scaling provable adversarial defenses
Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen +1
cs.LGcs.AImath.OCarXiv:1805.12514v22018
Yell At Your Robot: Improving On-the-Fly from Language Corrections
Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao +5
cs.ROcs.AIcs.LGarXiv:2403.12910v12024
Quantum Reinforcement Learning for Cost and Delay Tradeoffs in Quantum Cloud Orchestration
An N. H. Phan, Dang Van Huynh, Muhammad Usman +1
cs.LGcs.AIcs.DCarXiv:2609.27446v12026
One Rate Is Not Enough: Adaptive Anisotropic Learning Rates for LoRA Fine-Tuning
Huiyi Wang, Daijiao Liu, Lina Yao +1
cs.LGarXiv:2609.05885v12026
Promises and Pitfalls of Black-Box Concept Learning Models
Anita Mahinpei, Justin Clark, Isaac Lage +2
cs.LGcs.AIarXiv:2106.13314v12021
Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
Audrey Huang, Adam Block, Qinghua Liu +3
cs.AIcs.LGstat.MLarXiv:2503.21878v22025
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation
Le Wu, Peijie Sun, Richang Hong +3
cs.IRcs.LGcs.SIarXiv:1811.02815v22018
Grounded and Faithful P&ID Reasoning: Constraining Vision-Language Models with Recovered Evidence Graphs
Prathamesh Gadekar, Sagar Srinivas Sakhinana, Venkataramana Runkana
cs.LGcs.AIarXiv:2609.05880v12026
Scaling Robot Learning with Semantically Imagined Experience
Tianhe Yu, Ted Xiao, Austin Stone +10
cs.ROcs.AIcs.CLarXiv:2302.11550v12023
Computing the Stereo Matching Cost with a Convolutional Neural Network
Jure Žbontar, Yann LeCun
cs.CVcs.LGcs.NEarXiv:1409.4326v22014
LAIR-Net: Leaky Alignment-Impulse Residual Networks for Tabular Regression
Rahul Goswami, Aryan Bhambu, Bittu Karmakar
stat.MLcs.LGarXiv:2610.11538v12026
Device Scheduling with Fast Convergence for Wireless Federated Learning
Wenqi Shi, Sheng Zhou, Zhisheng Niu
cs.NIcs.ITcs.LGarXiv:1911.00856v12019
EfficientPS: Efficient Panoptic Segmentation
Rohit Mohan, Abhinav Valada
cs.CVcs.LGcs.ROarXiv:2004.02307v32020
Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT
Zhengfu He, Xuyang Ge, Qiong Tang +3
cs.LGarXiv:2402.12201v12024
A budget-dependent crossover between coverage- and response-based training-set selection for machine-learned interatomic potentials
Jia Bi, Alin-Marin Elena
cs.LGarXiv:2609.05877v12026
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
Junyu Zhang, Alec Koppel, Amrit Singh Bedi +2
cs.LGstat.MLarXiv:2007.02151v12020
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
Caroline Wang, Bin Han, Bhrij Patel +1
stat.MLcs.LGstat.AParXiv:2005.04176v32020
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent
Lin Wang, Zhichao Wang, Xiaoying Tang
cs.LGarXiv:2406.11187v22024
HAND: A Biologically-Inspired Activation Function that Improves Generalisation and Sample Efficiency in Image Classification
Michael W. Spratling, Heiko H. Schütt
cs.CVcs.LGarXiv:2610.11534v12026
Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos
Hao Luo, Yicheng Feng, Wanpeng Zhang +7
cs.CVcs.LGcs.ROarXiv:2507.15597v12025
MedMix: Specialization-Consistent Federated Sparse MoEs under Modality Heterogeneity
Adiba Orzikulova, Dong Min Kim, Jaehong Yoon +1
cs.LGarXiv:2608.13911v12026
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
Varun Mandalapu, Lavanya Elluri, Piyush Vyas +1
cs.LGcs.AIcs.CVarXiv:2303.16310v12023
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh, Larry Yang, Kristian Hartikainen +2
cs.LGcs.CVcs.ROarXiv:1904.07854v22019
Budgeted Task-Aware Acquisition of Dynamic Networks
Zihe Zhou
cs.LGarXiv:2609.05862v12026
Towards Understanding and Mitigating Social Biases in Language Models
Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency +1
cs.CLcs.AIcs.CYarXiv:2106.13219v12021
A Survey on Compiler Autotuning using Machine Learning
Amir H. Ashouri, William Killian, John Cavazos +2
cs.PLcs.LGarXiv:1801.04405v52018
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment
Jiaqi Jin, Siwei Wang, Zhibin Dong +2
cs.LGcs.CVarXiv:2303.15689v22023
Reliability-Aware Checkpoint Selection for Domain Generalization
Jinshi Liu, Jiahao Li, Pan Liu +5
cs.LGcs.CVarXiv:2609.39934v12026
Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math
Shrey Pandit, Austin Xu, Xuan-Phi Nguyen +3
cs.AIcs.CLcs.LGarXiv:2510.13744v12025
Deep Learning for Automatic Pneumonia Detection
Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin
eess.IVcs.CVcs.LGarXiv:2005.13899v12020
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
Mengyao Lyu, Yuhong Yang, Haiwen Hong +6
cs.CVcs.AIcs.LGarXiv:2312.16145v22023
Do Quantum AIs Dream in Paths? Path-Integral Slow Thinking through Grover Interference
Xiansheng Cai, Xiu-Hao Deng, Kun Chen
quant-phcs.AIcs.LGarXiv:2609.05842v12026
TacForcing: Streaming Action Generation with Execution-Time Tactile Feedback
Jianbo Zhou, Boyuan Zhao, Yuzheng Zhang +8
cs.ROcs.LGarXiv:2608.25798v12026
Multilingual Alignment of Contextual Word Representations
Steven Cao, Nikita Kitaev, Dan Klein
cs.CLcs.LGarXiv:2002.03518v22020
BeamRMX: Radiation-Pattern-Driven Learning for Generalizable Beam Radio Map Prediction and Beam Management
Yue Zhang, Xiucheng Wang, Wenshuo Chen +1
eess.SPcs.LGarXiv:2609.00615v12026
SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-Tuning
Saad Hossain, Samanvay Vajpayee, Sirisha Rambhatla
cs.LGcs.AIarXiv:2506.00676v12025
Distortion Agnostic Deep Watermarking
Xiyang Luo, Ruohan Zhan, Huiwen Chang +2
cs.MMcs.CVcs.LGarXiv:2001.04580v12020
Sharing the Control Authority Between Deep Reinforcement Learning and Model Predictive Control: Application to Multi-Class Transportation Networks
Giray Onur, Azita Dabiri, Bart De Schutter
eess.SYcs.LGarXiv:2608.20858v12026
Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains
N. V. Chawla, Grigoris Karakoulas
cs.LGarXiv:1109.2047v12011
D3M: A deep domain decomposition method for partial differential equations
Ke Li, Kejun Tang, Tianfan Wu +1
cs.LGcs.NAmath.NAarXiv:1909.12236v12019
MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
Yu Ying Chiu, Michael S. Lee, Rachel Calcott +17
cs.CLcs.AIcs.CYarXiv:2510.16380v22025
Unsupervised Skill Discovery for Agentic Data Analysis
Zhisong Qiu, Kangqi Song, Shengwei Tang +4
cs.AIcs.CLcs.LGarXiv:2606.06416v12026
Adversarially Learned Inference
Vincent Dumoulin, Ishmael Belghazi, Ben Poole +4
stat.MLcs.LGarXiv:1606.00704v32016
Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning
Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee +3
cs.ITcs.LGarXiv:2009.09967v12020
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks
Masoumeh Shafieinejad, Jiaqi Wang, Nils Lukas +2
cs.LGcs.CRstat.MLarXiv:1906.07745v22019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Fan Zhou, Chengtai Cao, Kunpeng Zhang +3
cs.LGstat.MLarXiv:1905.09718v12019
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Zhihong Shao, Peiyi Wang, Qihao Zhu +8
cs.CLcs.AIcs.LGarXiv:2402.03300v32024

Machine Learning

Deep Clustering and Conventional Networks for Music Separation: Stronger Together

Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models

COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Batch Active Learning Using Determinantal Point Processes

Query-Based Adversarial Prompt Generation

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

Measuring the Algorithmic Efficiency of Neural Networks

Quantifying Classification Uncertainty using Regularized Evidential Neural Networks

New Lower Bound and Upper Bounds on the Regret for Online Sparse Linear Regression

Heterogeneous domain adaptation: An unsupervised approach

A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder

Compositional Falsification of Cyber-Physical Systems with Machine Learning Components

Scaling provable adversarial defenses

Yell At Your Robot: Improving On-the-Fly from Language Corrections

Quantum Reinforcement Learning for Cost and Delay Tradeoffs in Quantum Cloud Orchestration

One Rate Is Not Enough: Adaptive Anisotropic Learning Rates for LoRA Fine-Tuning

Promises and Pitfalls of Black-Box Concept Learning Models

Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment

SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation

Grounded and Faithful P&ID Reasoning: Constraining Vision-Language Models with Recovered Evidence Graphs

Scaling Robot Learning with Semantically Imagined Experience

Computing the Stereo Matching Cost with a Convolutional Neural Network

LAIR-Net: Leaky Alignment-Impulse Residual Networks for Tabular Regression

Device Scheduling with Fast Convergence for Wireless Federated Learning

EfficientPS: Efficient Panoptic Segmentation

Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT

A budget-dependent crossover between coverage- and response-based training-set selection for machine-learned interatomic potentials

Variational Policy Gradient Method for Reinforcement Learning with General Utilities

In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction

Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent

HAND: A Biologically-Inspired Activation Function that Improves Generalisation and Sample Efficiency in Image Classification

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos

MedMix: Specialization-Consistent Federated Sparse MoEs under Modality Heterogeneity

Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions

End-to-End Robotic Reinforcement Learning without Reward Engineering

Budgeted Task-Aware Acquisition of Dynamic Networks

Towards Understanding and Mitigating Social Biases in Language Models

A Survey on Compiler Autotuning using Machine Learning

Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment

Reliability-Aware Checkpoint Selection for Domain Generalization

Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math

Deep Learning for Automatic Pneumonia Detection

One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications

Do Quantum AIs Dream in Paths? Path-Integral Slow Thinking through Grover Interference

TacForcing: Streaming Action Generation with Execution-Time Tactile Feedback

Multilingual Alignment of Contextual Word Representations

BeamRMX: Radiation-Pattern-Driven Learning for Generalizable Beam Radio Map Prediction and Beam Management

SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-Tuning

Distortion Agnostic Deep Watermarking

Sharing the Control Authority Between Deep Reinforcement Learning and Model Predictive Control: Application to Multi-Class Transportation Networks

Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains

D3M: A deep domain decomposition method for partial differential equations

MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes

Unsupervised Skill Discovery for Agentic Data Analysis

Adversarially Learned Inference

Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning

On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models