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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25,561 to 25,620 of 33,189

Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto, H. Francis Song, Jack W. Rae +10
cs.LGcs.AIstat.MLarXiv:1910.06764v12019
Spherical Message Passing for 3D Graph Networks
Yi Liu, Limei Wang, Meng Liu +3
cs.LGarXiv:2102.05013v52021
CRISP: Compressed Reasoning via Iterative Self-Policy Distillation
Hejian Sang, Yuanda Xu, Zhengze Zhou +3
cs.LGarXiv:2603.05433v72026
Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
Chenghao Zhang, Guanting Dong, Xinyu Yang +1
cs.CLcs.AIcs.IRarXiv:2510.17354v12025
Conditional Tensor Diffusion: Distributional Counterfactual Learning and Inference
Xinbing Kong, Zeyu Li, Junfan Mao +1
stat.MLcs.LGecon.EMarXiv:2609.25924v12026
Twist, Don't Tilt: Trajectory-Exact Constrained Decoding for Masked Diffusion Models
Aditya Thimmaiah, Lara Marinov, Jayanth Srinivasa +3
cs.LGcs.AIcs.CLarXiv:2609.35609v12026
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)
Jannis Born, Gabriel Brändle, Manuel Cossio +4
eess.IVcs.CVcs.LGarXiv:2004.12084v42020
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
cs.LGcs.CVcs.NEarXiv:1711.01239v22017
ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation
Zihao Huang, Jundong Zhou, Xingwei Qu +2
cs.LGarXiv:2601.21420v12026
Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
Yamato Arai, Yuma Ichikawa
cs.LGstat.APstat.MEarXiv:2504.09629v32025
Video Reasoning without Training
Deepak Sridhar, Kartikeya Bhardwaj, Jeya Pradha Jeyaraj +3
cs.CVcs.AIcs.LGarXiv:2510.17045v22025
Ambient Discrete Diffusion: Using the Wrong Data at the Right Time for Data Efficient Learning
Julian Kleutgens, Mauricio Tec, Claudio Battiloro +2
cs.LGarXiv:2610.12340v12026
Efficient Active Search for Combinatorial Optimization Problems
André Hottung, Yeong-Dae Kwon, Kevin Tierney
cs.LGcs.AImath.OCarXiv:2106.05126v32021
A new family of Constitutive Artificial Neural Networks towards automated model discovery
Kevin Linka, Ellen Kuhl
cs.LGcond-mat.mtrl-sciarXiv:2210.02202v22022
RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks
Rafael Josip Penić, Tin Vlašić, Roland G. Huber +2
q-bio.BMcs.LGarXiv:2403.00043v22024
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
Michelle Yuan, Khushbu Pahwa, Shuaichen Chang +5
cs.CLcs.AIcs.LGarXiv:2510.16499v22025
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
Qingqing Zhao, Yao Lu, Moo Jin Kim +12
cs.CVcs.AIcs.LGarXiv:2503.22020v12025
Optimal Networks for Agentic Information Aggregation
MohammadHossein Bateni, Zahra Hadizadeh, MohammadTaghi Hajiaghayi +2
cs.LGcs.GTecon.THarXiv:2609.35537v12026
RL makes MLLMs see better than SFT
Junha Song, Sangdoo Yun, Dongyoon Han +2
cs.CVcs.LGarXiv:2510.16333v22025
Tighter Theory for Local SGD on Identical and Heterogeneous Data
Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik
cs.LGcs.DCmath.NAarXiv:1909.04746v42019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
Debraj Basu, Deepesh Data, Can Karakus +1
stat.MLcs.DCcs.LGarXiv:1906.02367v22019
Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation
Miguel Morona-Mínguez, Fernando Pérez-González, Alberto Pedrouzo-Ulloa
cs.CRcs.LGarXiv:2609.01945v12026
MechBench: Can AI Scientific Agents Discover Mechanisms Beyond Phenomenal Laws?
Zihan Yu, Jiadong Zhang, Jialin Cheng +2
cs.AIcs.LGcs.SCarXiv:2609.35515v12026
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
Ziqi Ma, Kamyar Azizzadenesheli, Anima Anandkumar
cs.LGarXiv:2402.01960v22024
Execution-based Code Generation using Deep Reinforcement Learning
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni +1
cs.LGcs.AIcs.CLarXiv:2301.13816v42023
Operator-Theoretic Generalization Bounds for Multitask Deep Learning
Mahdi Mohammadigohari, Thomas Borsani, Giuseppe Di Fatta
cs.LGarXiv:2608.15982v12026
asdex: Automatic Sparse Differentiation in JAX
Adrian Hill, Guillaume Dalle
cs.MScs.LGcs.NAarXiv:2610.12336v12026
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Anastasios N. Angelopoulos, Stephen Bates
cs.LGcs.AImath.STarXiv:2107.07511v62021
TinyGSM: achieving >80% on GSM8k with small language models
Bingbin Liu, Sebastien Bubeck, Ronen Eldan +5
cs.LGcs.CLarXiv:2312.09241v12023
Handwritten Text Recognition Lives in the High-Pixel Variance Subspace
Carlos Garrido-Munoz, Jorge Calvo-Zaragoza
cs.CVcs.LGarXiv:2609.35473v12026
Free-rider Attacks on Model Aggregation in Federated Learning
Yann Fraboni, Richard Vidal, Marco Lorenzi
cs.LGstat.MLarXiv:2006.11901v52020
Generative Quantum-inspired Kolmogorov-Arnold Eigensolver
Yu-Cheng Lin, Yu-Chao Hsu, I-Shan Tsai +9
quant-phcs.LGarXiv:2605.04604v12026
High-dimensional nonparametric changepoint detection via low-rank degree-two density projection
Guoqing Zhang, Zhaixin Chen
cs.LGstat.MLarXiv:2608.13922v12026
Perfect Detection, Failed Control: The Geometry of Knowing vs. Steering in Language Models
Cosimo Galeone, Anna Ettorre, Minsu Park +2
cs.CLcs.AIcs.LGarXiv:2606.24952v12026
An analysis of Mirror-Descent Soft Actor-Critic
Denis Zorba, Michal Valko
cs.LGmath.OCarXiv:2609.35466v12026
Collaborative Fairness in Federated Learning
Lingjuan Lyu, Xinyi Xu, Qian Wang
cs.LGcs.DCstat.MLarXiv:2008.12161v22020
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
Rong Dai, Li Shen, Fengxiang He +2
cs.LGarXiv:2206.00187v12022
Representation Redundancy and Structural Complexity in Finite-Field Inversion
Zheng Zhang, Na Zhang
cs.LGmath.RAarXiv:2609.04583v12026
VideoMDM: Towards 3D Human Motion Generation From 2D Supervision
Amir Mann, Gal Michael Harari, Merav Keidar +1
cs.LGcs.CVarXiv:2606.13364v12026
MMToM-QA: Multimodal Theory of Mind Question Answering
Chuanyang Jin, Yutong Wu, Jing Cao +7
cs.AIcs.CLcs.CVarXiv:2401.08743v22024
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo, Fei Chen, Dapeng Hu +3
cs.LGcs.CVcs.DCarXiv:2106.05001v22021
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
cs.CLcs.AIcs.LGarXiv:1509.00838v22015
Kernel-based Conditional Independence Test and Application in Causal Discovery
Kun Zhang, Jonas Peters, Dominik Janzing +1
cs.LGstat.MLarXiv:1202.3775v12012
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Chen Xu, Tony Khuong Nguyen, Emma Dixon +7
cs.ROcs.AIcs.LGarXiv:2503.08558v32025
Manifold-Stable Flow Matching
Amirhossein Nazerian, Ali Pezeshki, Jianguo Zhao
cs.LGcs.ROcs.SYarXiv:2609.35454v12026
Predicting the Unpredictable: Reproducible BiLSTM Forecasting of Incident Counts in the Global Terrorism Database (GTD)
Oluwasegun Adegoke
cs.LGarXiv:2510.15136v12025
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Soham De, Samuel L. Smith, Anushan Fernando +14
cs.LGcs.CLarXiv:2402.19427v12024
Does provable absence of barren plateaus imply classical simulability?
M. Cerezo, Martin Larocca, Diego García-Martín +9
quant-phcs.LGstat.MLarXiv:2312.09121v32023
A Theory on Adam Instability in Large-Scale Machine Learning
Igor Molybog, Peter Albert, Moya Chen +14
cs.LGcs.AImath.OCarXiv:2304.09871v22023
Architectural Patterns for the Design of Federated Learning Systems
Sin Kit Lo, Qinghua Lu, Liming Zhu +3
cs.LGcs.DCcs.SEarXiv:2101.02373v32021
DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction
Weiran Wang, Xintong Huo, Yueying Wang +7
cs.LGcs.AIcs.ETarXiv:2609.00059v12026
Generating Computational Cognitive Models using Large Language Models
Milena Rmus, Akshay K. Jagadish, Marvin Mathony +2
cs.LGarXiv:2502.00879v32025
Unsupervised Unlearning of Concept Drift with Autoencoders
André Artelt, Kleanthis Malialis, Christos Panayiotou +2
cs.LGcs.AIarXiv:2211.12989v22022
U-Space: Uncovering When and Why Uncertainty Arises in Language Models
Tobias Braun, Nils Loose, Alexander Herzog +4
cs.CLcs.AIcs.LGarXiv:2610.09087v12026
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Jun Wu, Jingrui He, Jiejun Xu
cs.LGstat.MLarXiv:1906.02319v12019
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models
Feng Chen, Liqin Wang, Julie Hong +2
cs.AIcs.CYcs.LGarXiv:2310.19917v32023
Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals
Rohin Shah, Vikrant Varma, Ramana Kumar +4
cs.LGarXiv:2210.01790v22022
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle, Yu-Xiang Wang
cs.LGstat.MLarXiv:1805.06530v22018
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
eess.IVcs.CVcs.LGarXiv:2003.13815v32020
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
Andrey Malinin, Neil Band, Ganshin +15
cs.LGcs.AIstat.MLarXiv:2107.07455v32021

Machine Learning

Stabilizing Transformers for Reinforcement Learning

Spherical Message Passing for 3D Graph Networks

CRISP: Compressed Reasoning via Iterative Self-Policy Distillation

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation

Conditional Tensor Diffusion: Distributional Counterfactual Learning and Inference

Twist, Don't Tilt: Trajectory-Exact Constrained Decoding for Masked Diffusion Models

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning

ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation

Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization

Video Reasoning without Training

Ambient Discrete Diffusion: Using the Wrong Data at the Right Time for Data Efficient Learning

Efficient Active Search for Combinatorial Optimization Problems

A new family of Constitutive Artificial Neural Networks towards automated model discovery

RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks

Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Optimal Networks for Agentic Information Aggregation

RL makes MLLMs see better than SFT

Tighter Theory for Local SGD on Identical and Heterogeneous Data

Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations

Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation

MechBench: Can AI Scientific Agents Discover Mechanisms Beyond Phenomenal Laws?

Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction

Execution-based Code Generation using Deep Reinforcement Learning

Operator-Theoretic Generalization Bounds for Multitask Deep Learning

asdex: Automatic Sparse Differentiation in JAX

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

TinyGSM: achieving >80% on GSM8k with small language models

Handwritten Text Recognition Lives in the High-Pixel Variance Subspace

Free-rider Attacks on Model Aggregation in Federated Learning

Generative Quantum-inspired Kolmogorov-Arnold Eigensolver

High-dimensional nonparametric changepoint detection via low-rank degree-two density projection

Perfect Detection, Failed Control: The Geometry of Knowing vs. Steering in Language Models

An analysis of Mirror-Descent Soft Actor-Critic

Collaborative Fairness in Federated Learning

DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training

Representation Redundancy and Structural Complexity in Finite-Field Inversion

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision

MMToM-QA: Multimodal Theory of Mind Question Answering

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

Kernel-based Conditional Independence Test and Application in Causal Discovery

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies

Manifold-Stable Flow Matching

Predicting the Unpredictable: Reproducible BiLSTM Forecasting of Incident Counts in the Global Terrorism Database (GTD)

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Does provable absence of barren plateaus imply classical simulability?

A Theory on Adam Instability in Large-Scale Machine Learning

Architectural Patterns for the Design of Federated Learning Systems

DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction

Generating Computational Cognitive Models using Large Language Models

Unsupervised Unlearning of Concept Drift with Autoencoders

U-Space: Uncovering When and Why Uncertainty Arises in Language Models

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models

Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals

Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks