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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24,181 to 24,240 of 33,209

LM-X: Explainable Action Modeling with Progress, Event, and Uncertainty Prediction for Generalist Robot Manipulation
Jin Lou, Jingxuan Zhu, Andong Chen +14
cs.ROcs.LGarXiv:2608.25757v12026
Rollcast: Proper-Score Gated Rolling Anchors for Adaptive Probabilistic Time-Series Forecasting
Giancarlo Vercellino
stat.MLcs.LGstat.MEarXiv:2609.05561v12026
When Adaptation Hurts: Split Sensitivity and Person-Level Negative Transfer in Federated Wearable Onboarding
Rahil Aftab, Vineet Kumar Rakesh, Soumya Mazumdar +1
cs.LGcs.DCarXiv:2609.27819v12026
Beyond Uniform Compression: Budgeted Transmission Allocation for Extreme Federated Learning
Pengfei Li, Mohammad Khalil
cs.LGarXiv:2609.39646v12026
LLM Explainability with Counterfactual Chains and Causal Graphs
Nirit Nussbaum-Hoffer, Nitay Calderon, Liat Ein-Dor +1
cs.LGarXiv:2606.05972v12026
Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
Zhezheng Hao, Hong Wang, Haoyang Liu +6
cs.LGcs.AIarXiv:2510.10150v42025
Short-term Load Forecasting with Deep Residual Networks
Kunjin Chen, Kunlong Chen, Qin Wang +3
stat.MLcs.LGstat.AParXiv:1805.11956v12018
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha +1
cs.CRcs.LGarXiv:1611.03814v12016
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.CVarXiv:1610.00696v22016
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
Cheng Xue, Lei Zhu, Huazhu Fu +4
eess.IVcs.CVcs.LGarXiv:2104.01896v12021
Learning to Navigate in Complex Environments
Piotr Mirowski, Razvan Pascanu, Fabio Viola +9
cs.AIcs.CVcs.LGarXiv:1611.03673v32016
Invisible Shortcuts: Why Vision Encoders Know Your Camera
Vladan Stojnić, Ryan Ramos, Giorgos Kordopatis-Zilos +2
cs.CVcs.LGarXiv:2608.05424v12026
ALoDLM: Adaptively Looped Diffusion Language Models
Liancheng Fang, Zhuowei Li, Youngeun Kim +10
cs.AIcs.LGarXiv:2610.04198v12026
Robustness May Be at Odds with Accuracy
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom +2
stat.MLcs.CVcs.LGarXiv:1805.12152v52018
Scene Transformer: A unified architecture for predicting multiple agent trajectories
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan +11
cs.CVcs.LGcs.ROarXiv:2106.08417v32021
Jailbreaking in the Haystack
Rishi Rajesh Shah, Chen Henry Wu, Shashwat Saxena +3
cs.CRcs.AIcs.CLarXiv:2511.04707v22025
Autoregressive Drillhole Modelling Under Distribution Shift
Yihao Ding, Daniel Yitian Su, Yiran Zhang +2
cs.LGarXiv:2610.01204v12026
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco Cohen, Mario Geiger, Maurice Weiler
cs.LGcs.AIcs.CGarXiv:1811.02017v22018
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Haoning Wu, Zicheng Zhang, Weixia Zhang +11
cs.CVcs.CLcs.LGarXiv:2312.17090v12023
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
Yifan Yang, Jiajun Zhou, Ngai Wong +1
cs.CLcs.AIcs.LGarXiv:2402.11417v12024
Understanding R1-Zero-Like Training: A Critical Perspective
Zichen Liu, Changyu Chen, Wenjun Li +5
cs.LGcs.AIcs.CLarXiv:2503.20783v22025
Newton-Type Methods for Non-Convex Optimization Under Inexact Hessian Information
Peng Xu, Fred Roosta, Michael W. Mahoney
math.OCcs.CCcs.LGarXiv:1708.07164v42017
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
cs.LGeess.SYphysics.comp-pharXiv:1909.12077v52019
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning
Shenghui Li, Edith C. -H. Ngai, Thiemo Voigt
cs.LGarXiv:2302.07173v12023
Efficient Provably Private Classification with a Tabular Foundation Model
Talal Alrawajfeh, Cristiana Diaconu, Ossi Räisä +5
cs.LGcs.CRarXiv:2610.10068v12026
Deep Learning Power Allocation in Massive MIMO
Luca Sanguinetti, Alessio Zappone, Merouane Debbah
eess.SPcs.ITcs.LGarXiv:1812.03640v22018
Extremely Sparse Supervision Incentivizes Reasoning Ability
Zhishuai Liu, Xingzi Xu, Mehmet Saygin Seyfioglu +2
cs.AIcs.CLcs.LGarXiv:2609.04565v12026
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi, Ashish Agarwal, Paul Barham +37
cs.DCcs.LGarXiv:1603.04467v22016
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Ilya Mironov, Kunal Talwar, Li Zhang
cs.LGcs.CRstat.MLarXiv:1908.10530v12019
Data Efficient Sample Selection for In-Context Learning
V Venktesh, Cem Levi, Avishek Anand
cs.LGcs.CLarXiv:2609.06670v22026
3D-aware Blending with Generative NeRFs
Hyunsu Kim, Gayoung Lee, Yunjey Choi +2
cs.CVcs.GRcs.LGarXiv:2302.06608v32023
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
Uthsav Chitra, Benjamin J Raphael
cs.LGcs.DMcs.SIarXiv:1905.08287v12019
Training Spiking Neural Networks Using Lessons From Deep Learning
Jason K. Eshraghian, Max Ward, Emre Neftci +6
cs.NEcs.ETcs.LGarXiv:2109.12894v62021
On Penalty-based Bilevel Gradient Descent Method
Han Shen, Quan Xiao, Tianyi Chen
cs.LGmath.OCstat.MLarXiv:2302.05185v52023
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
Qize Yu, Lianrui Fan, Boyu Chen +23
cs.CVcs.AIcs.LGarXiv:2609.39601v12026
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea, Petar Veličković, Nikola Jovanović +2
stat.MLcs.AIcs.LGarXiv:1811.01287v12018
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
Guofei Pang, Marta D'Elia, Michael Parks +1
math.APcs.LGmath.OCarXiv:2004.04276v12020
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence
Emilio Jorge, Mikael Kågebäck, Fredrik D. Johansson +1
cs.AIcs.CLcs.LGarXiv:1611.03218v42016
Video Pixel Networks
Nal Kalchbrenner, Aaron van den Oord, Karen Simonyan +4
cs.CVcs.LGarXiv:1610.00527v12016
Multi-Agent Retrieval-Augmented Generation for Efficient Cloud Knowledge Base Search in Telecom SNOC Environment
Harish Saragadam, Sudhanshu Sharma, Ipsha Routray
cs.IRcs.LGarXiv:2609.01618v12026
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction
Zhonglin Cao, Rishikesh Magar, Yuyang Wang +1
cs.LGphysics.chem-pharXiv:2210.14188v12022
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
Chaochao Chen, Jun Zhou, Longfei Zheng +7
cs.LGcs.CRstat.MLarXiv:2005.11903v32020
Why Is My Classifier Discriminatory?
Irene Chen, Fredrik D. Johansson, David Sontag
stat.MLcs.LGarXiv:1805.12002v22018
A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites
Eliud Nyakweba Koto, Jaco du Toit, Adham Stoltz +1
cs.LGarXiv:2609.03809v12026
Go-with-the-Track: Video Compositing and Motion Control with Point Tracking
Koichi Namekata, Yash Kant, Zhizheng Liu +9
cs.CVcs.LGarXiv:2606.20891v12026
Multi-Turn On-Policy Distillation with Prefix Replay
Baohao Liao, Hanze Dong, Christof Monz +3
cs.LGcs.AIcs.CLarXiv:2607.04763v32026
Imitation Learning: Progress, Taxonomies and Challenges
Boyuan Zheng, Sunny Verma, Jianlong Zhou +2
cs.LGcs.ROarXiv:2106.12177v22021
Mitra-v2 Technical Report
Yefan Tao, Xiyuan Zhang, Xinyi Liu +13
cs.LGarXiv:2609.04540v12026
Structured Neural Summarization
Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
cs.LGcs.CLcs.SEarXiv:1811.01824v42018
Pruning Neural Networks at Initialization: Why are We Missing the Mark?
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy +1
cs.LGcs.CVcs.NEarXiv:2009.08576v22020
KilometerVision: A New Frontier for Large-Scale Spatial Intelligence in VLMs
Aravindh Mahendran, Michael King, Matthew Koichi Grimes +12
cs.CVcs.LGarXiv:2609.39588v12026
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint
Stephen Tu, Benjamin Recht
cs.LGmath.OCstat.MLarXiv:1812.03565v22018
Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode
Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari +2
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:1804.04651v12018
Prompt Stealing Attacks Against Text-to-Image Generation Models
Xinyue Shen, Yiting Qu, Michael Backes +1
cs.CRcs.LGarXiv:2302.09923v22023
Counterfactual Fairness in Text Classification through Robustness
Sahaj Garg, Vincent Perot, Nicole Limtiaco +3
cs.LGstat.MLarXiv:1809.10610v22018
An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting
Georgios Mitrentsis, Hendrik Lens
stat.APcs.LGarXiv:2108.04058v22021
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki
cs.ROcs.AIcs.CVarXiv:2402.10885v32024
On the Expressive Power of Geometric Graph Neural Networks
Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis +2
cs.LGmath.GRstat.MLarXiv:2301.09308v32023
In Search of Lost Domain Generalization
Ishaan Gulrajani, David Lopez-Paz
cs.LGstat.MLarXiv:2007.01434v12020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks
Bojian Yin, Federico Corradi, Sander M. Bohté
cs.NEcs.LGarXiv:2005.11633v22020

Machine Learning

LM-X: Explainable Action Modeling with Progress, Event, and Uncertainty Prediction for Generalist Robot Manipulation

Rollcast: Proper-Score Gated Rolling Anchors for Adaptive Probabilistic Time-Series Forecasting

When Adaptation Hurts: Split Sensitivity and Person-Level Negative Transfer in Federated Wearable Onboarding

Beyond Uniform Compression: Budgeted Transmission Allocation for Extreme Federated Learning

LLM Explainability with Counterfactual Chains and Causal Graphs

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective

Short-term Load Forecasting with Deep Residual Networks

Towards the Science of Security and Privacy in Machine Learning

Deep Visual Foresight for Planning Robot Motion

Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

Learning to Navigate in Complex Environments

Invisible Shortcuts: Why Vision Encoders Know Your Camera

ALoDLM: Adaptively Looped Diffusion Language Models

Robustness May Be at Odds with Accuracy

Scene Transformer: A unified architecture for predicting multiple agent trajectories

Jailbreaking in the Haystack

Autoregressive Drillhole Modelling Under Distribution Shift

A General Theory of Equivariant CNNs on Homogeneous Spaces

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models

Understanding R1-Zero-Like Training: A Critical Perspective

Newton-Type Methods for Non-Convex Optimization Under Inexact Hessian Information

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control

An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning

Efficient Provably Private Classification with a Tabular Foundation Model

Deep Learning Power Allocation in Massive MIMO

Extremely Sparse Supervision Incentivizes Reasoning Ability

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Rényi Differential Privacy of the Sampled Gaussian Mechanism

Data Efficient Sample Selection for In-Context Learning

3D-aware Blending with Generative NeRFs

Random Walks on Hypergraphs with Edge-Dependent Vertex Weights

Training Spiking Neural Networks Using Lessons From Deep Learning

On Penalty-based Bilevel Gradient Descent Method

GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives

Towards Sparse Hierarchical Graph Classifiers

nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications

Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence

Video Pixel Networks

Multi-Agent Retrieval-Augmented Generation for Efficient Cloud Knowledge Base Search in Telecom SNOC Environment

MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification

Why Is My Classifier Discriminatory?

A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites

Go-with-the-Track: Video Compositing and Motion Control with Point Tracking

Multi-Turn On-Policy Distillation with Prefix Replay

Imitation Learning: Progress, Taxonomies and Challenges

Mitra-v2 Technical Report

Structured Neural Summarization

Pruning Neural Networks at Initialization: Why are We Missing the Mark?

KilometerVision: A New Frontier for Large-Scale Spatial Intelligence in VLMs

The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint

Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode

Prompt Stealing Attacks Against Text-to-Image Generation Models

Counterfactual Fairness in Text Classification through Robustness

An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting

3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

On the Expressive Power of Geometric Graph Neural Networks

In Search of Lost Domain Generalization

Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks