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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28,021 to 28,080 of 33,071

Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li +4
cs.LGcs.CVstat.MLarXiv:1711.03189v52017
Generalist Representation, Specialist Detection: TS-Router for Time-Series Anomaly Detection
Tian Lan, Yifei Gao, Yimeng Lu +6
cs.LGcs.AIarXiv:2610.00978v12026
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright +1
math.OCcs.LGarXiv:2309.01753v22023
A machine learning based plasticity model using proper orthogonal decomposition
Dengpeng Huang, Jan Niklas Fuhg, Christian Weißenfels +1
cs.CEcs.LGarXiv:2001.03438v12020
InstanceDiffusion: Instance-level Control for Image Generation
Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla +2
cs.CVcs.AIcs.LGarXiv:2402.03290v12024
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Dongjun Kim, Seungjae Shin, Kyungwoo Song +2
cs.LGcs.AIstat.MLarXiv:2106.05527v52021
Deep learning for time series classification: a review
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.AIstat.MLarXiv:1809.04356v42018
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis
Zenglin Xu, Feng Yan, Yuan +1
cs.LGcs.NAmath.NAarXiv:1108.6296v22011
Fast Training of Diffusion Models with Masked Transformers
Hongkai Zheng, Weili Nie, Arash Vahdat +1
cs.CVcs.AIcs.LGarXiv:2306.09305v22023
ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning
Jingwei Song, Meng Chen, Jie Xiao +15
cs.LGcs.DCarXiv:2602.02192v52026
The NetHack Learning Environment
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller +4
cs.LGcs.AIcs.CLarXiv:2006.13760v22020
When Should an In-Context Learner Expand Its Hypothesis Space?
Weihan Li, Xinlei Chen, Junhao Wu +1
cs.LGarXiv:2610.09471v12026
Width-Independent Compressibility of Deep Neural Networks
Hong-Yi Wang, Mingze Wang, Liu Ziyin
cs.LGcond-mat.dis-nncs.ITarXiv:2608.21752v12026
An Empirical Study of Harness Design for Coding Agents
Run-Ze Fan, Zihao Zhang, Simin Ma +6
cs.AIcs.CLcs.LGarXiv:2609.20804v12026
Unifying Vision, Text, and Layout for Universal Document Processing
Zineng Tang, Ziyi Yang, Guoxin Wang +6
cs.CVcs.AIcs.CLarXiv:2212.02623v32022
Disentangling Steering Vectors
Takeru Hiramatsu, Kyohei Atarashi, Koh Takeuchi +1
cs.LGarXiv:2609.07037v12026
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Huan Zhang, Shiqi Wang, Kaidi Xu +5
cs.LGcs.CRcs.CVarXiv:2208.05740v22022
From Multimodal Observation to Interpretable Suggestions: Counterfactual Time-Expanded Relational Modeling of Surgical Teams
Vincenzo Marco De Luca, Antonio Longa, Giovanna Varni +1
cs.LGarXiv:2608.23254v12026
Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning
Benhao Huang, Zhengyang Geng, Zico Kolter
cs.LGarXiv:2605.21488v12026
GLTR: Statistical Detection and Visualization of Generated Text
Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush
cs.CLcs.AIcs.HCarXiv:1906.04043v12019
Aha-Flow Distillation: Flow Markers Matter in LLM Reasoning
Xiaodong Wang, Peixi Peng
cs.CLcs.AIcs.LGarXiv:2609.07036v12026
CatBoost: gradient boosting with categorical features support
Anna Veronika Dorogush, Vasily Ershov, Andrey Gulin
cs.LGcs.MSstat.MLarXiv:1810.11363v12018
SAEs Are Good for Steering -- If You Select the Right Features
Dana Arad, Aaron Mueller, Yonatan Belinkov
cs.LGcs.AIcs.CLarXiv:2505.20063v22025
Code to Control: Synthesizing Parameterized Reactive Controllers
Zergham Ahmed, Joshua B. Tenenbaum, Chris Bates +1
cs.AIcs.LGarXiv:2609.38733v12026
LAMD: Context-driven Android Malware Detection and Classification with LLMs
Xingzhi Qian, Xinran Zheng, Yiling He +2
cs.CRcs.AIcs.LGarXiv:2502.13055v22025
ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching
M. Caner Tol, Berk Sunar
cs.CRcs.LGcs.SEarXiv:2308.13062v12023
SAGE: Subpopulation-Aware Generative Enhancement for Mitigating Spurious Correlations
Yiming Luo, Rongqiang Zhao, Jie Liu
cs.LGcs.CVarXiv:2609.01051v12026
MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets
Lai Wei, Xiaozhe Li, Zihao Jiang +2
cs.LGcs.AIcs.CLarXiv:2308.12067v32023
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham Kakade, Adam Tauman Kalai, Varun Kanade +1
cs.AIcs.LGstat.MLarXiv:1104.2018v12011
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg, Dimitris Tsipras, Percy Liang +1
cs.CLcs.LGarXiv:2208.01066v32022
DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Yifei Li, Tao Du, Kui Wu +2
cs.GRcs.LGarXiv:2106.05306v32021
Direct speech-to-speech translation with a sequence-to-sequence model
Ye Jia, Ron J. Weiss, Fadi Biadsy +4
cs.CLcs.LGcs.SDarXiv:1904.06037v22019
ReHoPER: Receding-Horizon Planning for Enhanced Reasoning
Saeed Ahmadnia, Cornelia Caragea
cs.CLcs.AIcs.LGarXiv:2610.00940v12026
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee +2
cs.LGcs.AIcs.CVarXiv:1507.08750v22015
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava +2
cs.LGstat.MLarXiv:1907.04931v42019
LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning
Junyi Lu, Lei Yu, Xiaojia Li +2
cs.SEcs.CLcs.LGarXiv:2308.11148v22023
Nonparametric semi-supervised learning of class proportions
Shantanu Jain, Martha White, Michael W. Trosset +1
stat.MLcs.LGarXiv:1601.01944v12016
Depth-Adaptive Transformer
Maha Elbayad, Jiatao Gu, Edouard Grave +1
cs.CLcs.LGarXiv:1910.10073v42019
AstraMoE-SR: Trajectory-Guided Diffusion for Blind Satellite Jitter Deblurring and Super-Resolution
Yi-Chung Lai, Chin-Tien Wu, Yu-Chih Chen
eess.IVcs.CVcs.LGarXiv:2609.07012v12026
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
David Salinas, Valentin Flunkert, Jan Gasthaus
cs.AIcs.LGstat.MLarXiv:1704.04110v32017
Adaptive Evolutionary Clustering
Kevin S. Xu, Mark Kliger, Alfred O. Hero III
cs.LGstat.MLarXiv:1104.1990v32011
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan +2
cs.LGcs.NEarXiv:2308.09296v42023
PROMO: Preference-conditioned Multi-Objective Reinforcement Learning for Quadrupedal Robots
Amr Mousa, Rifny Rachman, Neil Karavis +2
cs.ROcs.AIcs.HCarXiv:2610.01260v12026
Model Selection Techniques -- An Overview
Jie Ding, Vahid Tarokh, Yuhong Yang
stat.MLcs.ITcs.LGarXiv:1810.09583v12018
TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
Hanqun Cao, Aastha Pal, Sophia Tang +4
q-bio.BMcs.LGarXiv:2605.09810v12026
k-hop Graph Neural Networks
Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
stat.MLcs.LGarXiv:1907.06051v22019
Kickstarting Deep Reinforcement Learning
Simon Schmitt, Jonathan J. Hudson, Augustin Zidek +8
cs.LGarXiv:1803.03835v12018
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Ron Amit, Ron Meir
stat.MLcs.AIcs.LGarXiv:1711.01244v82017
Network Enhancement: a general method to denoise weighted biological networks
Bo Wang, Armin Pourshafeie, Marinka Zitnik +4
q-bio.MNcs.LGcs.SIarXiv:1805.03327v22018
Generative Poisoning Attack Method Against Neural Networks
Chaofei Yang, Qing Wu, Hai Li +1
cs.CRcs.LGstat.MLarXiv:1703.01340v12017
Experimental neural network enhanced quantum tomography
Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi +4
quant-phcond-mat.dis-nncs.AIarXiv:1904.05902v22019
Large Language Models can Strategically Deceive their Users when Put Under Pressure
Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn
cs.CLcs.AIcs.LGarXiv:2311.07590v42023
Guidance for Prior Change via Density Ratio Estimation
Yichen Zang, Song Liu, Jiun-Yi Lin
stat.MLcs.LGstat.MEarXiv:2608.21729v12026
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Keming Lu, Hongyi Yuan, Zheng Yuan +5
cs.CLcs.AIcs.LGarXiv:2308.07074v22023
PReCache: Efficient KV Cache Sharing for Multi-LoRA Agents via Low-Rank Precomputation and Neutral Reconstruction
Hyesung Jeon, Hyeongju Ha, Jae-Joon Kim
cs.LGarXiv:2609.34054v12026
Input-to-State Stability Framework for Fully Distributed Primal-Dual Dynamics for Quadratic GNEPs Without Multiplier Consensus
Shao-An Yin
math.OCcs.AIcs.GTarXiv:2609.06983v22026
Fisher GAN
Youssef Mroueh, Tom Sercu
cs.LGstat.MLarXiv:1705.09675v32017
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, Anna Shcherbina +1
cs.LGcs.CVcs.NEarXiv:1605.01713v32016
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
Florian Wenzel, Jasper Snoek, Dustin Tran +1
cs.LGstat.MLarXiv:2006.13570v32020
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama +1
stat.MLcs.LGarXiv:1704.03976v22017

Machine Learning

Deep Hyperspherical Learning

Generalist Representation, Specialist Detection: TS-Router for Time-Series Anomaly Detection

On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation

A machine learning based plasticity model using proper orthogonal decomposition

InstanceDiffusion: Instance-level Control for Image Generation

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation

Deep learning for time series classification: a review

Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis

Fast Training of Diffusion Models with Masked Transformers

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

The NetHack Learning Environment

When Should an In-Context Learner Expand Its Hypothesis Space?

Width-Independent Compressibility of Deep Neural Networks

An Empirical Study of Harness Design for Coding Agents

Unifying Vision, Text, and Layout for Universal Document Processing

Disentangling Steering Vectors

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

From Multimodal Observation to Interpretable Suggestions: Counterfactual Time-Expanded Relational Modeling of Surgical Teams

Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning

GLTR: Statistical Detection and Visualization of Generated Text

Aha-Flow Distillation: Flow Markers Matter in LLM Reasoning

CatBoost: gradient boosting with categorical features support

SAEs Are Good for Steering -- If You Select the Right Features

Code to Control: Synthesizing Parameterized Reactive Controllers

LAMD: Context-driven Android Malware Detection and Classification with LLMs

ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching

SAGE: Subpopulation-Aware Generative Enhancement for Mitigating Spurious Correlations

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets

Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact

Direct speech-to-speech translation with a sequence-to-sequence model

ReHoPER: Receding-Horizon Planning for Enhanced Reasoning

Action-Conditional Video Prediction using Deep Networks in Atari Games

GraphSAINT: Graph Sampling Based Inductive Learning Method

LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning

Nonparametric semi-supervised learning of class proportions

Depth-Adaptive Transformer

AstraMoE-SR: Trajectory-Guided Diffusion for Blind Satellite Jitter Deblurring and Super-Resolution

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

Adaptive Evolutionary Clustering

CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection

PROMO: Preference-conditioned Multi-Objective Reinforcement Learning for Quadrupedal Robots

Model Selection Techniques -- An Overview

TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation

k-hop Graph Neural Networks

Kickstarting Deep Reinforcement Learning

Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory

Network Enhancement: a general method to denoise weighted biological networks

Generative Poisoning Attack Method Against Neural Networks

Experimental neural network enhanced quantum tomography

Large Language Models can Strategically Deceive their Users when Put Under Pressure

Guidance for Prior Change via Density Ratio Estimation

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models

PReCache: Efficient KV Cache Sharing for Multi-LoRA Agents via Low-Rank Precomputation and Neutral Reconstruction

Input-to-State Stability Framework for Fully Distributed Primal-Dual Dynamics for Quadratic GNEPs Without Multiplier Consensus

Fisher GAN

Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

Hyperparameter Ensembles for Robustness and Uncertainty Quantification

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning