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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25,261 to 25,320 of 33,175

A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
Kun Yi, Qi Zhang, Wei Fan +7
cs.LGcs.AIarXiv:2302.02173v62023
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Eldar Insafutdinov, Alexey Dosovitskiy
cs.CVcs.LGarXiv:1810.09381v12018
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
Anoop Korattikara, Yutian Chen, Max Welling
cs.LGstat.MLarXiv:1304.5299v42013
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Ruth Fong, Mandela Patrick, Andrea Vedaldi
cs.CVcs.LGstat.MLarXiv:1910.08485v12019
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou, Jiafan He, Quanquan Gu
cs.LGcs.AImath.OCarXiv:2006.13165v42020
The Information Bottleneck Problem and Its Applications in Machine Learning
Ziv Goldfeld, Yury Polyanskiy
cs.LGstat.MLarXiv:2004.14941v22020
PARROT: Persuasion and Agreement Robustness Rating of Output Truth -- A Sycophancy Robustness Benchmark for LLMs
Yusuf Çelebi, Özay Ezerceli, Mahmoud El Hussieni
cs.CLcs.AIcs.CEarXiv:2511.17220v22025
Federated Causal Discovery via Regression-Directed Cumulants
Pablo Torrijos, Fabio Stella, José A. Gámez +1
cs.LGarXiv:2609.03705v12026
Humans can decipher adversarial images
Zhenglong Zhou, Chaz Firestone
cs.CVcs.CYcs.LGarXiv:1809.04120v32018
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data
Ajay Mandlekar, Fabio Ramos, Byron Boots +4
cs.ROcs.AIcs.LGarXiv:1911.05321v22019
Graph Learning with Spectral Connectivity Priors for Scarce Data
Mingxiao Liu, Bahar Oveisgharan, Bingyan Zou +3
cs.LGeess.SParXiv:2609.27278v12026
Scaling Vision with Sparse Mixture of Experts
Carlos Riquelme, Joan Puigcerver, Basil Mustafa +5
cs.CVcs.LGstat.MLarXiv:2106.05974v12021
Count-Based Exploration with the Successor Representation
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
cs.LGcs.AIstat.MLarXiv:1807.11622v42018
Dynamic Filter Networks
Bert De Brabandere, Xu Jia, Tinne Tuytelaars +1
cs.LGcs.CVarXiv:1605.09673v22016
Bypassing the Safety Training of Open-Source LLMs with Priming Attacks
Jason Vega, Isha Chaudhary, Changming Xu +1
cs.CRcs.AIcs.CLarXiv:2312.12321v22023
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro
cs.LGarXiv:2103.05045v22021
Distributional Smoothing with Virtual Adversarial Training
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama +2
stat.MLcs.LGarXiv:1507.00677v92015
A theory of platonic representations in language models
Darshil Doshi, Wenjie Zhou, Corinna Elena Wegner +3
cs.LGcs.CLstat.MLarXiv:2610.07168v12026
Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong, J. Zico Kolter
cs.LGcs.AImath.OCarXiv:1711.00851v32017
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
Iulian V. Serban, Alessandro Sordoni, Yoshua Bengio +2
cs.CLcs.AIcs.LGarXiv:1507.04808v32015
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning
Xiangrong Zhu, Guangyao Li, Wei Hu
cs.LGcs.CLarXiv:2302.02069v22023
MARBO: Relational Belief Grounding for LLM Agents in Social Deduction Games
Hwang Yechan, Bae Sangjun, Kim Jeongmo +2
cs.AIcs.LGarXiv:2609.06563v12026
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese, Robert Knobloch, Ralf Korn +1
q-fin.MFcs.LGq-fin.CParXiv:1907.06673v22019
Physics-Informed Neural Plasticity: PDE Solvers That Reshape Themselves
Chun-Wun Cheng, Bingcheng Hu, Angelica I. Aviles-Rivero
cs.LGcs.NAmath.NAarXiv:2610.09510v12026
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan +5
cs.LGcs.AIstat.MLarXiv:1803.07246v12018
Unified all-atom molecule generation with neural fields
Matthieu Kirchmeyer, Pedro O. Pinheiro, Emma Willett +7
cs.LGq-bio.BMarXiv:2511.15906v12025
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Ahmad Faiz, Sotaro Kaneda, Ruhan Wang +4
cs.CLcs.AIcs.CYarXiv:2309.14393v22023
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen, Lingfei Wu, Mohammed J. Zaki
cs.LGstat.MLarXiv:2006.13009v22020
Distinguishing the Knowable from the Unknowable with Language Models
Gustaf Ahdritz, Tian Qin, Nikhil Vyas +2
cs.LGcs.AIcs.CLarXiv:2402.03563v22024
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi +1
cond-mat.mtrl-scics.LGarXiv:2111.01037v22021
Shake-Shake regularization
Xavier Gastaldi
cs.LGcs.CVarXiv:1705.07485v22017
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods
Julien Colin, Thomas Fel, Remi Cadene +1
cs.CVcs.HCcs.LGarXiv:2112.04417v32021
Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language
Avia Efrat, Uri Shaham, Dan Kilman +1
cs.CLcs.AIcs.LGarXiv:2103.01242v22021
Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
Yuan Yao, Jin Song, Huixia Li +3
cs.LGarXiv:2606.00558v22026
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu, Tomas Mikolov, Yoshua Bengio
cs.LGarXiv:1211.5063v22012
A Kronecker-factored approximate Fisher matrix for convolution layers
Roger Grosse, James Martens
stat.MLcs.LGarXiv:1602.01407v22016
What Makes Recurrence Effective in Looped Language Models?
Xinlin Zhuang, Siyuan Wang, Imran Razzak +1
cs.LGcs.CLarXiv:2609.36636v12026
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning
Shivam Agarwal, Zimin Zhang, Lifan Yuan +2
cs.LGcs.AIarXiv:2505.15134v12025
Learning the Constitutive Behavior of Materials via Neural Operators and Causal Attention: Case Studies in Plasticity and Damage
Rishabh Arora, Lisa Scheunemann, Tim Brepols +1
cs.LGcs.CEarXiv:2609.02194v12026
Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing
Leszek Sliwko, Jolanta Mizeria-Pietraszko
cs.AIcs.DCcs.LGarXiv:2601.09282v22026
A scoping review of transfer learning research on medical image analysis using ImageNet
Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol
eess.IVcs.CVcs.LGarXiv:2004.13175v52020
Occupancy-based Quantile Risk Control
Zihao Shi, Huajun Xi, Bingyi Jing +1
stat.MLcs.LGarXiv:2609.03104v12026
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design
Zaixi Zhang, Qi Liu, Chee-Kong Lee +2
q-bio.BMcs.LGarXiv:2304.12436v12023
An Invariant Tangent-Angle Descriptor and a Band U-Net for 2D Fragment Adjacency Prediction
Guillaume Brouillette, Alain Goupil, Pierre-Olivier Parisé +1
cs.CVcs.LGarXiv:2610.09459v12026
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra +2
cs.LGstat.MLarXiv:1506.06840v22015
Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime
Hugo Latourelle-Vigeant, Sinho Chewi, Aram-Alexandre Pooladian +2
stat.MLcs.LGmath.STarXiv:2608.23938v12026
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
Lin Li, Haoyan Guan, Jianing Qiu +1
cs.CVcs.AIcs.LGarXiv:2403.01849v12024
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
William Scott Paka, Rachit Bansal, Abhay Kaushik +2
cs.CLcs.LGarXiv:2102.08924v32021
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang +3
cs.CLcs.LGarXiv:2206.01861v12022
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks
Yingyezhe Jin, Wenrui Zhang, Peng Li
cs.NEcs.LGarXiv:1805.07866v62018
Is Conditional Generative Modeling all you need for Decision-Making?
Anurag Ajay, Yilun Du, Abhi Gupta +3
cs.LGcs.AIarXiv:2211.15657v42022
MARINA: Faster Non-Convex Distributed Learning with Compression
Eduard Gorbunov, Konstantin Burlachenko, Zhize Li +1
cs.LGmath.OCarXiv:2102.07845v32021
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Vint Lee, Pieter Abbeel, Youngwoon Lee
cs.LGcs.AIcs.ROarXiv:2311.01450v22023
ChainerRL: A Deep Reinforcement Learning Library
Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka +1
cs.LGcs.AIstat.MLarXiv:1912.03905v22019
An Introduction to Deep Reinforcement Learning
Vincent Francois-Lavet, Peter Henderson, Riashat Islam +2
cs.LGcs.AIstat.MLarXiv:1811.12560v22018
Understanding HTML with Large Language Models
Izzeddin Gur, Ofir Nachum, Yingjie Miao +6
cs.LGcs.AIarXiv:2210.03945v22022
TH-GNN: Heterogeneous Temporal Graph Neural Networks for LLM-Agent Shilling Attack Detection
Shivam Swarup, Divya Prakash Shrivastava, Rakesh Thakur
cs.CLcs.LGarXiv:2608.20376v12026
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks
Octavian Suciu, Radu Mărginean, Yiğitcan Kaya +2
cs.CRcs.LGarXiv:1803.06975v22018
Validation of HRV Studio: A Transparent and Quality-Control-Aware Platform for Heart Rate Variability Analysis
Cyrus Mexon Evrard Djindot, Faliang Liu, Sylvain Laborde +6
physics.med-phcs.LGcs.SEarXiv:2608.24241v12026
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly +1
cs.LGcs.CLcs.CVarXiv:1506.03099v32015

Machine Learning

A Survey on Deep Learning based Time Series Analysis with Frequency Transformation

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget

Understanding Deep Networks via Extremal Perturbations and Smooth Masks

Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping

The Information Bottleneck Problem and Its Applications in Machine Learning

PARROT: Persuasion and Agreement Robustness Rating of Output Truth -- A Sycophancy Robustness Benchmark for LLMs

Federated Causal Discovery via Regression-Directed Cumulants

Humans can decipher adversarial images

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data

Graph Learning with Spectral Connectivity Priors for Scarce Data

Scaling Vision with Sparse Mixture of Experts

Count-Based Exploration with the Successor Representation

Dynamic Filter Networks

Bypassing the Safety Training of Open-Source LLMs with Priming Attacks

Size-Invariant Graph Representations for Graph Classification Extrapolations

Distributional Smoothing with Virtual Adversarial Training

A theory of platonic representations in language models

Provable defenses against adversarial examples via the convex outer adversarial polytope

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning

MARBO: Relational Belief Grounding for LLM Agents in Social Deduction Games

Quant GANs: Deep Generation of Financial Time Series

Physics-Informed Neural Plasticity: PDE Solvers That Reshape Themselves

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines

Unified all-atom molecule generation with neural fields

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

Distinguishing the Knowable from the Unknowable with Language Models

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Shake-Shake regularization

What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods

Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language

Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain

On the difficulty of training Recurrent Neural Networks

A Kronecker-factored approximate Fisher matrix for convolution layers

What Makes Recurrence Effective in Looped Language Models?

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Learning the Constitutive Behavior of Materials via Neural Operators and Causal Attention: Case Studies in Plasticity and Damage

Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing

A scoping review of transfer learning research on medical image analysis using ImageNet

Occupancy-based Quantile Risk Control

An Equivariant Generative Framework for Molecular Graph-Structure Co-Design

An Invariant Tangent-Angle Descriptor and a Band U-Net for 2D Fragment Adjacency Prediction

On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants

Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime

One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models

Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection

ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks

Is Conditional Generative Modeling all you need for Decision-Making?

MARINA: Faster Non-Convex Distributed Learning with Compression

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing

ChainerRL: A Deep Reinforcement Learning Library

An Introduction to Deep Reinforcement Learning

Understanding HTML with Large Language Models

TH-GNN: Heterogeneous Temporal Graph Neural Networks for LLM-Agent Shilling Attack Detection

Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks

Validation of HRV Studio: A Transparent and Quality-Control-Aware Platform for Heart Rate Variability Analysis

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks