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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24,901 to 24,960 of 33,164

CoQA: A Conversational Question Answering Challenge
Siva Reddy, Danqi Chen, Christopher D. Manning
cs.CLcs.AIcs.LGarXiv:1808.07042v22018
OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
Rui Yang, Qianhui Wu, Yuxi Chen +7
cs.LGcs.AIcs.CLarXiv:2606.02031v22026
RAPTOR: Ridge-Adaptive Logistic Probes
Ziqi Gao, Yaotian Zhu, Qingcheng Zeng +4
cs.LGcs.AIarXiv:2602.00158v22026
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
Xiang Ren, Wenqi He, Meng Qu +3
cs.CLcs.LGarXiv:1602.05307v12016
ECG Heartbeat Classification: A Deep Transferable Representation
Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh
cs.CYcs.LGstat.MLarXiv:1805.00794v22018
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu, Takeru Miyato, Seiya Tokui +2
stat.MLcs.LGarXiv:1702.08720v32017
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
Gongfan Fang, Hongxu Yin, Saurav Muralidharan +5
cs.AIcs.CLcs.LGarXiv:2409.17481v22024
Prompt Engineering a Prompt Engineer
Qinyuan Ye, Maxamed Axmed, Reid Pryzant +1
cs.CLcs.AIcs.LGarXiv:2311.05661v32023
Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations
Oskar Bohn Lassen, Joao Paulo de Souza Boger, Simon Driscoll +4
cs.LGarXiv:2609.34627v12026
Improved Mean Flows: On the Challenges of Fastforward Generative Models
Zhengyang Geng, Yiyang Lu, Zongze Wu +3
cs.CVcs.LGarXiv:2512.02012v22025
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian, Kexin Pei, Suman Jana +1
cs.SEcs.AIcs.LGarXiv:1708.08559v22017
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods
Evan Crothers, Nathalie Japkowicz, Herna Viktor
cs.CLcs.CRcs.CYarXiv:2210.07321v42022
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation
Benjamin Scellier, Yoshua Bengio
cs.LGarXiv:1602.05179v52016
Rademacher Complexity for Adversarially Robust Generalization
Dong Yin, Kannan Ramchandran, Peter Bartlett
cs.LGcs.CRcs.NEarXiv:1810.11914v42018
Measuring the Intrinsic Dimension of Objective Landscapes
Chunyuan Li, Heerad Farkhoor, Rosanne Liu +1
cs.LGcs.NEstat.MLarXiv:1804.08838v12018
Self-attention for raw optical Satellite Time Series Classification
Marc Rußwurm, Marco Körner
cs.LGeess.IVstat.MLarXiv:1910.10536v32019
Structure alone supports efficient visual computation in the Drosophila visual system
Eudald Correig-Fraga, Roger Guimerà, Marta Sales-Pardo
q-bio.NCcond-mat.dis-nncs.LGarXiv:2610.10023v12026
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu, Edgar Dobriban, Susan B. Davidson
cs.LGstat.MLarXiv:2006.14755v22020
Measuring In-Context Computation Complexity via Hidden State Prediction
Vincent Herrmann, Róbert Csordás, Jürgen Schmidhuber
cs.LGarXiv:2503.13431v12025
When Models Don't Manipulate Manifolds: The Geometry of a Comparison Task
Sai Sumedh R. Hindupur, Hadas Orgad, Thomas Fel +1
cs.LGcs.AIcs.CLarXiv:2609.37680v12026
KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics
Benjamin C. Koenig, Suyong Kim, Sili Deng
cs.LGarXiv:2407.04192v32024
A Convolutional Attention Network for Extreme Summarization of Source Code
Miltiadis Allamanis, Hao Peng, Charles Sutton
cs.LGcs.CLcs.SEarXiv:1602.03001v22016
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process
Christoph Molnar, Timo Freiesleben, Gunnar König +3
stat.MLcs.LGarXiv:2109.01433v12021
A multi-centre polyp detection and segmentation dataset for generalisability assessment
Sharib Ali, Debesh Jha, Noha Ghatwary +12
eess.IVcs.CVcs.LGarXiv:2106.04463v32021
End-to-End Text-Dependent Speaker Verification
Georg Heigold, Ignacio Moreno, Samy Bengio +1
cs.LGcs.SDarXiv:1509.08062v12015
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Pengfei Chen, Benben Liao, Guangyong Chen +1
cs.LGstat.MLarXiv:1905.05040v12019
Value Iteration Networks
Aviv Tamar, Yi Wu, Garrett Thomas +2
cs.AIcs.LGcs.NEarXiv:1602.02867v42016
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
Tiejin Chen, Xiaoou Liu, Vishnu Nandam +2
cs.LGcs.AIarXiv:2601.17329v12026
It's not Rocket Science : Interpreting Figurative Language in Narratives
Tuhin Chakrabarty, Yejin Choi, Vered Shwartz
cs.CLcs.LGarXiv:2109.00087v32021
Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW
Nguyen Van Thieu, Ti Ti Nguyen, Ons Aouedi +2
cs.LGcs.DCcs.NIarXiv:2608.25535v12026
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento, Rui Ponte Costa, Yoshua Bengio +1
q-bio.NCcs.LGcs.NEarXiv:1810.11393v12018
CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
Yuchen Zhou, Jiamin Wu, Zichen Ren +7
cs.HCcs.LGeess.SParXiv:2506.23075v12025
Taylor-Calibrate: Principled Initialization for Hybrid Linear Attention Distillation
Zhongzhu Zhou, Qingyang Wu, Junxiong Wang +4
cs.LGcs.CLarXiv:2606.16429v12026
Q-Capsule: A Localized Capsule-Based Quantum Neural Architecture for Barren Plateau Mitigation
Awal Ahmed Fime, Tasfia Zaman Samiha, Saika Zaman +4
quant-phcs.LGarXiv:2610.11261v12026
Instance-Conditioned GAN
Arantxa Casanova, Marlène Careil, Jakob Verbeek +2
cs.CVcs.LGarXiv:2109.05070v22021
Temporal Predictive Multiplicity: Equally Accurate Time Series Models Yield Different Forecast Trajectories
Emanuele Albini, Francesca Toni, Saumitra Mishra +1
cs.LGcs.AIarXiv:2610.09994v12026
The Identifiability and Observability of Deep Normalized Attention
Pranav Venkata Konda
cs.LGarXiv:2610.09620v12026
Procedural Core: A Compact Recurrent Initialization for Vision Transformers
Zachary Shinnick, Christian Internò, Hemanth Saratchandran +2
cs.LGcs.CVarXiv:2609.37631v12026
T-REX: Mixture-of-Rank-One-Experts with Semantic-aware Intuition for Multi-task Large Language Model Finetuning
Rongyu Zhang, Yijiang Liu, Huanrui Yang +5
cs.LGcs.AIarXiv:2404.08985v22024
AdaCliP: Adaptive Clipping for Private SGD
Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu +2
cs.LGcs.CRstat.MLarXiv:1908.07643v22019
Learning to Act Robustly with View-Invariant Latent Actions
Youngjoon Jeong, Junha Chun, Taesup Kim
cs.ROcs.AIcs.LGarXiv:2601.02994v12026
Centered Permutation Prefixes for SGD with Random Reshuffling: Sharp Rates, Hölder Geometry, and Composite Proximal Extensions
Jiaxiang Li
math.OCcs.LGarXiv:2609.04578v12026
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Daniel Guo, Bernardo Avila Pires, Bilal Piot +4
cs.LGcs.AIarXiv:2004.14646v12020
Strategic Classification from Revealed Preferences
Jinshuo Dong, Aaron Roth, Zachary Schutzman +2
cs.LGcs.DScs.GTarXiv:1710.07887v12017
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
Vinay V. Ramasesh, Ethan Dyer, Maithra Raghu
cs.LGcs.CVstat.MLarXiv:2007.07400v12020
UniTAC: Universal Task-Aware Compression via Weighted Distortion Measures
Homa Esfahanizadeh, Matin Mortaheb, Jinfeng Du +1
cs.LGcs.AIcs.ITarXiv:2608.16696v12026
A Survey on Graph Structure Learning: Progress and Opportunities
Yanqiao Zhu, Weizhi Xu, Jinghao Zhang +5
cs.LGcs.SIarXiv:2103.03036v22021
Mutual Information Regularized Offline Reinforcement Learning
Xiao Ma, Bingyi Kang, Zhongwen Xu +2
cs.LGcs.AIarXiv:2210.07484v32022
DiRL: An Efficient Post-Training Framework for Diffusion Language Models
Ying Zhu, Jiaxin Wan, Xiaoran Liu +7
cs.LGcs.AIarXiv:2512.22234v22025
S$^2$-MLP: Spatial-Shift MLP Architecture for Vision
Tan Yu, Xu Li, Yunfeng Cai +2
cs.CVcs.AIcs.LGarXiv:2106.07477v22021
CosineGate: Semantic Dynamic Routing via Cosine Incompatibility in Residual Networks
Yogeswar Reddy Thota
cs.NEcs.AIcs.LGarXiv:2512.22206v12025
Kernels for sequentially ordered data
Franz J Király, Harald Oberhauser
stat.MLcs.DMcs.LGarXiv:1601.08169v12016
Residual Learning in Empirical Asset Pricing
Dexin Peng, Xiaoyu Wang
q-fin.STcs.LGarXiv:2610.09613v12026
Adaptive Machine Unlearning
Varun Gupta, Christopher Jung, Seth Neel +3
cs.LGstat.MLarXiv:2106.04378v12021
Force without transmission: a depth-induced rank collapse that no loss on the representation reopens
Martin Hofmann, Patrick Mäder
cs.LGarXiv:2610.09958v12026
RLPR: Extrapolating RLVR to General Domains without Verifiers
Tianyu Yu, Bo Ji, Shouli Wang +9
cs.LGcs.AIcs.CLarXiv:2506.18254v12025
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey
S Niyas, S J Pawan, M Anand Kumar +1
eess.IVcs.CVcs.LGarXiv:2108.08467v32021
Where the Verifier Fails: A Category-Level Audit of Reward Signals in RLVR
Esther Xin
cs.CLcs.LGarXiv:2609.01354v12026
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems
Francisco J. Gonzalez, Maciej Balajewicz
math.DScs.LGphysics.flu-dynarXiv:1808.01346v22018
Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams
Zewen Liu, Zhan Shi, Yisi Sang +7
cs.LGcs.AIarXiv:2606.01770v22026

Machine Learning

CoQA: A Conversational Question Answering Challenge

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

RAPTOR: Ridge-Adaptive Logistic Probes

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

ECG Heartbeat Classification: A Deep Transferable Representation

Learning Discrete Representations via Information Maximizing Self-Augmented Training

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

Prompt Engineering a Prompt Engineer

Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations

Improved Mean Flows: On the Challenges of Fastforward Generative Models

DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation

Rademacher Complexity for Adversarially Robust Generalization

Measuring the Intrinsic Dimension of Objective Landscapes

Self-attention for raw optical Satellite Time Series Classification

Structure alone supports efficient visual computation in the Drosophila visual system

DeltaGrad: Rapid retraining of machine learning models

Measuring In-Context Computation Complexity via Hidden State Prediction

When Models Don't Manipulate Manifolds: The Geometry of a Comparison Task

KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics

A Convolutional Attention Network for Extreme Summarization of Source Code

Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process

A multi-centre polyp detection and segmentation dataset for generalisability assessment

End-to-End Text-Dependent Speaker Verification

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Value Iteration Networks

Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment

It's not Rocket Science : Interpreting Figurative Language in Narratives

Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW

Dendritic cortical microcircuits approximate the backpropagation algorithm

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Taylor-Calibrate: Principled Initialization for Hybrid Linear Attention Distillation

Q-Capsule: A Localized Capsule-Based Quantum Neural Architecture for Barren Plateau Mitigation

Instance-Conditioned GAN

Temporal Predictive Multiplicity: Equally Accurate Time Series Models Yield Different Forecast Trajectories

The Identifiability and Observability of Deep Normalized Attention

Procedural Core: A Compact Recurrent Initialization for Vision Transformers

T-REX: Mixture-of-Rank-One-Experts with Semantic-aware Intuition for Multi-task Large Language Model Finetuning

AdaCliP: Adaptive Clipping for Private SGD

Learning to Act Robustly with View-Invariant Latent Actions

Centered Permutation Prefixes for SGD with Random Reshuffling: Sharp Rates, Hölder Geometry, and Composite Proximal Extensions

Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning

Strategic Classification from Revealed Preferences

Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics

UniTAC: Universal Task-Aware Compression via Weighted Distortion Measures

A Survey on Graph Structure Learning: Progress and Opportunities

Mutual Information Regularized Offline Reinforcement Learning

DiRL: An Efficient Post-Training Framework for Diffusion Language Models

S$^2$-MLP: Spatial-Shift MLP Architecture for Vision

CosineGate: Semantic Dynamic Routing via Cosine Incompatibility in Residual Networks

Kernels for sequentially ordered data

Residual Learning in Empirical Asset Pricing

Adaptive Machine Unlearning

Force without transmission: a depth-induced rank collapse that no loss on the representation reopens

RLPR: Extrapolating RLVR to General Domains without Verifiers

Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey

Where the Verifier Fails: A Category-Level Audit of Reward Signals in RLVR

Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems

Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams