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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28,681 to 28,740 of 32,817

Pretraining and Test-Time Training Budgets Matter for ARC: A Controlled Study of VARC and TRM
Adrien Deliege, Marc Van Droogenbroeck
cs.LGcs.AIarXiv:2610.13660v12026
Towards Easier-to-Tune Training Algorithms: New Results from AlgoPerf
Priya Kasimbeg, Ahmed Khaled, Aahlad Chandrabhatta +9
cs.LGarXiv:2610.13036v12026
Vector-Quantized Autoregressive Predictive Coding
Yu-An Chung, Hao Tang, James Glass
eess.AScs.CLcs.LGarXiv:2005.08392v12020
Digital Persuasion: Understanding the Impact of Online Influencers on Public Opinion
Omran Berjawi, Rida Khatoun, Giuseppe Fenza
cs.SIcs.LGarXiv:2609.16062v12026
REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning
Ziju Shen, Naohao Huang, Fanyi Yang +11
cs.CLcs.AIcs.LGarXiv:2505.20613v32025
Pseudo-Label Augmentation for Affect Sensing in Small Collaborative Groups
Meisam Jamshidi Seikavandi, Tanya Ignatenko, Fabricio Batista Narcizo +3
cs.LGcs.AIcs.HCarXiv:2609.16077v12026
ARB: Advanced Reasoning Benchmark for Large Language Models
Tomohiro Sawada, Daniel Paleka, Alexander Havrilla +6
cs.CLcs.LGarXiv:2307.13692v22023
TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps
Rohit Patel, Susil Kumar Mohanty, Jeenal Chaudhary
cs.DCcs.AIcs.CRarXiv:2609.14762v22026
RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments
Ge Cao, Zhen Peng
eess.SPcs.LGarXiv:2406.16907v12024
ECG-FM: An Open Electrocardiogram Foundation Model
Kaden McKeen, Sameer Masood, Augustin Toma +2
cs.LGarXiv:2408.05178v22024
Does Financial Speech Need Continual Learning Regularization? A Study of EWC and mini-KFAC on Earnings Call ASR
Thai Quoc On, Homayoon Beigi
eess.AScs.CLcs.LGarXiv:2610.13432v12026
The Dawn of Quantum Natural Language Processing
Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen +2
cs.CLcs.AIcs.CVarXiv:2110.06510v12021
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
Qipeng Guo, Zhijing Jin, Xipeng Qiu +3
cs.CLcs.AIcs.LGarXiv:2006.04702v32020
Diversity-Aware Ensemble of Quantum-Classical Models via Combinatorial Fusion
Jingyan Xu, Yuanhong Wu, Samuel Yen-Chi Chen +3
quant-phcs.LGarXiv:2610.13808v12026
Review of automated time series forecasting pipelines
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps +4
cs.LGarXiv:2202.01712v12022
QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code
Meriem Terki, Nouhaila Innan, Minghao Shao +3
cs.LGcs.CLquant-pharXiv:2610.13811v12026
Diffusion Precipitation Generation with Medium-range Weather Forecasting
Guowen Li, Yang Liu, Mengxuan Chen +11
cs.LGarXiv:2610.12976v12026
Graph Dynamical Networks for Unsupervised Learning of Atomic Scale Dynamics in Materials
Tian Xie, Arthur France-Lanord, Yanming Wang +2
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:1902.06836v22019
SafeDreamer: Safe Reinforcement Learning with World Models
Weidong Huang, Jiaming Ji, Chunhe Xia +2
cs.LGcs.AIcs.CVarXiv:2307.07176v32023
LESS is More: Rethinking Probabilistic Models of Human Behavior
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac +2
cs.ROcs.AIcs.HCarXiv:2001.04465v12020
Methodological reflections for AI alignment research using human feedback
Thilo Hagendorff, Sarah Fabi
cs.HCcs.AIcs.CLarXiv:2301.06859v12022
Active Reward Learning from Multiple Teachers
Peter Barnett, Rachel Freedman, Justin Svegliato +1
cs.LGcs.AIarXiv:2303.00894v12023
Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
Yulong Cao, Boris Ivanovic, Chaowei Xiao +1
cs.AIcs.LGcs.ROarXiv:2309.00709v12023
Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation
Asmae Mouradi, Shruti Kshirsagar
cs.CVcs.AIcs.LGarXiv:2603.14694v22026
Self-Generated Critiques Boost Reward Modeling for Language Models
Yue Yu, Zhengxing Chen, Aston Zhang +10
cs.CLcs.AIcs.LGarXiv:2411.16646v32024
Shortcut Learning in Geospatial Foundation Model Embeddings for Cross-Disaster Damage Assessment
Ali Shibli, Andrea Nascetti, Yifang Ban
cs.CVcs.LGarXiv:2610.13766v12026
Overcoming Data Imbalances with Expert Selection Biases
Ayush K. Tarun, Clara Meister, Antoine Bosselut
cs.CLcs.LGarXiv:2610.13370v12026
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
Mathias Kraus, Stefan Feuerriegel
cs.LGstat.MLarXiv:1907.05146v22019
Towards Adversarial Retinal Image Synthesis
Pedro Costa, Adrian Galdran, Maria Inês Meyer +4
cs.CVcs.LGstat.MLarXiv:1701.08974v12017
JitterVLA: A Replay Benchmark for Motion Quality in VLA-Driven Human-Robot Manipulation
Faith Ogunwoye, Didar Seyidov, Konstantin Gubernatorov +1
cs.ROcs.HCcs.LGarXiv:2610.13628v12026
Analysis of Heart Diseases Dataset using Neural Network Approach
K. Usha Rani
cs.LGcs.DBarXiv:1110.2626v12011
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang +1
cs.CVcs.LGarXiv:2007.08505v12020
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
Yanfei Kang, Rob J Hyndman, Feng Li
stat.MLcs.LGstat.COarXiv:1903.02787v22019
A Big Data Enabled Channel Model for 5G Wireless Communication Systems
Jie Huang, Cheng-Xiang Wang, Lu Bai +5
eess.SPcs.LGcs.NIarXiv:2002.12561v12020
Uncertainty Estimation for Language Reward Models
Adam Gleave, Geoffrey Irving
cs.CLcs.AIcs.LGarXiv:2203.07472v12022
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models
Tiwalayo Eisape, MH Tessler, Ishita Dasgupta +3
cs.CLcs.AIcs.LGarXiv:2311.00445v22023
Understanding Causality with Large Language Models: Feasibility and Opportunities
Cheng Zhang, Stefan Bauer, Paul Bennett +8
cs.LGcs.CLarXiv:2304.05524v12023
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars +7
eess.SPcs.LGarXiv:2109.04364v22021
Language Models in the Loop: Incorporating Prompting into Weak Supervision
Ryan Smith, Jason A. Fries, Braden Hancock +1
cs.LGcs.CLarXiv:2205.02318v12022
Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction
Pedram Daee, Tomi Peltola, Marta Soare +1
cs.AIcs.HCcs.LGarXiv:1612.03328v22016
Designing Protein Structures from Natural Language
Joseph Lee, Yanjing Li, Bo Qiang +7
cs.LGq-bio.BMarXiv:2610.13917v12026
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
Deepali Jain, Atil Iscen, Ken Caluwaerts
cs.ROcs.CVcs.LGarXiv:2011.11722v12020
Human-in-the-Loop Interpretability Prior
Isaac Lage, Andrew Slavin Ross, Been Kim +2
stat.MLcs.LGarXiv:1805.11571v22018
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View
Lennart Reiher, Bastian Lampe, Lutz Eckstein
cs.CVcs.LGarXiv:2005.04078v12020
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
Chen Liang, Simiao Zuo, Minshuo Chen +5
cs.LGcs.CLarXiv:2105.12002v22021
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
Patrick H. Chen, Si Si, Yang Li +2
cs.CLcs.AIcs.LGarXiv:1806.06950v12018
Online Embedding Compression for Text Classification using Low Rank Matrix Factorization
Anish Acharya, Rahul Goel, Angeliki Metallinou +1
cs.LGcs.CLcs.NAarXiv:1811.00641v12018
Rank and run-time aware compression of NLP Applications
Urmish Thakker, Jesse Beu, Dibakar Gope +2
cs.CLcs.LGcs.PFarXiv:2010.03193v12020
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Xiang Meng, Kayhan Behdin, Haoyue Wang +1
cs.LGarXiv:2406.07831v32024
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis
Guangzhi Sun, Yu Zhang, Ron J. Weiss +3
eess.AScs.LGcs.SDarXiv:2002.03785v12020
CoBe: A Benchmark For Conversational Counterfactual Text Editing
Arvind Raghavan, Inwoo Hwang, Shreyas Havaldar +6
cs.CLcs.AIcs.ETarXiv:2610.13057v12026
Reflective Linguistic Programming (RLP): A Stepping Stone in Socially-Aware AGI (SocialAGI)
Kevin A. Fischer
cs.AIcs.CLcs.HCarXiv:2305.12647v12023
Evaluating Deep Learning Approaches for Covid19 Fake News Detection
Apurva Wani, Isha Joshi, Snehal Khandve +2
cs.LGcs.IRarXiv:2101.04012v22021
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions
Michael Penwarden, Ameya D. Jagtap, Shandian Zhe +2
physics.comp-phcs.LGarXiv:2302.14227v22023
QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training--Inference Mismatch
Hao Gu, Hao Wang, Jiacheng Liu +9
cs.LGcs.AIarXiv:2604.07853v12026
Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey
Jiayuan Chen, You Shi, Changyan Yi +3
cs.HCcs.AIcs.LGarXiv:2401.13699v22024
LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning
Junchi Wang, Lei Ke
cs.CVcs.LGarXiv:2404.08767v12024
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation
Zineng Tang, Ziyi Yang, Mahmoud Khademi +3
cs.CVcs.AIcs.CLarXiv:2311.18775v12023
Neuromorphic Satellite Intelligence: A Formal Framework for Event-Driven Architectures, Spike-Based Algorithms, and Quantitative Energy-Accuracy Trade-offs
Suresh Kumar TP, Vikas Agnihotri
cs.NEcs.LGarXiv:2610.12471v12026
Point2Mesh: A Self-Prior for Deformable Meshes
Rana Hanocka, Gal Metzer, Raja Giryes +1
cs.GRcs.CVcs.LGarXiv:2005.11084v12020

Machine Learning

Pretraining and Test-Time Training Budgets Matter for ARC: A Controlled Study of VARC and TRM

Towards Easier-to-Tune Training Algorithms: New Results from AlgoPerf

Vector-Quantized Autoregressive Predictive Coding

Digital Persuasion: Understanding the Impact of Online Influencers on Public Opinion

REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning

Pseudo-Label Augmentation for Affect Sensing in Small Collaborative Groups

ARB: Advanced Reasoning Benchmark for Large Language Models

TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps

RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments

ECG-FM: An Open Electrocardiogram Foundation Model

Does Financial Speech Need Continual Learning Regularization? A Study of EWC and mini-KFAC on Earnings Call ASR

The Dawn of Quantum Natural Language Processing

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

Diversity-Aware Ensemble of Quantum-Classical Models via Combinatorial Fusion

Review of automated time series forecasting pipelines

QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code

Diffusion Precipitation Generation with Medium-range Weather Forecasting

Graph Dynamical Networks for Unsupervised Learning of Atomic Scale Dynamics in Materials

SafeDreamer: Safe Reinforcement Learning with World Models

LESS is More: Rethinking Probabilistic Models of Human Behavior

Methodological reflections for AI alignment research using human feedback

Active Reward Learning from Multiple Teachers

Reinforcement Learning with Human Feedback for Realistic Traffic Simulation

Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation

Self-Generated Critiques Boost Reward Modeling for Language Models

Shortcut Learning in Geospatial Foundation Model Embeddings for Cross-Disaster Damage Assessment

Overcoming Data Imbalances with Expert Selection Biases

Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences

Towards Adversarial Retinal Image Synthesis

JitterVLA: A Replay Benchmark for Motion Quality in VLA-Driven Human-Robot Manipulation

Analysis of Heart Diseases Dataset using Neural Network Approach

FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

A Big Data Enabled Channel Model for 5G Wireless Communication Systems

Uncertainty Estimation for Language Reward Models

A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models

Understanding Causality with Large Language Models: Feasibility and Opportunities

Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

Language Models in the Loop: Incorporating Prompting into Weak Supervision

Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction

Designing Protein Structures from Natural Language

From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion

Human-in-the-Loop Interpretability Prior

A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization

GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking

Online Embedding Compression for Text Classification using Low Rank Matrix Factorization

Rank and run-time aware compression of NLP Applications

ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models

Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis

CoBe: A Benchmark For Conversational Counterfactual Text Editing

Reflective Linguistic Programming (RLP): A Stepping Stone in Socially-Aware AGI (SocialAGI)

Evaluating Deep Learning Approaches for Covid19 Fake News Detection

A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions

QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training--Inference Mismatch

Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey

LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning

CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation

Neuromorphic Satellite Intelligence: A Formal Framework for Event-Driven Architectures, Spike-Based Algorithms, and Quantitative Energy-Accuracy Trade-offs

Point2Mesh: A Self-Prior for Deformable Meshes