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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22,261 to 22,320 of 33,222

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
Haoran You, Zhanyi Sun, Huihong Shi +6
cs.LGcs.ARcs.CVarXiv:2210.09573v32022
Transition Matching Distillation for Fast Video Generation
Weili Nie, Julius Berner, Nanye Ma +3
cs.CVcs.AIcs.LGarXiv:2601.09881v22026
Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigm
Jaehan Kim, Minkyoo Song, Seung Ho Na +1
cs.CLcs.AIcs.CRarXiv:2409.14119v32024
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
Yawar Siddiqui, Julien Valentin, Matthias Nießner
cs.CVcs.LGarXiv:1911.11789v22019
AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents
Sharareh Younesian, Wenwen Ouyang, Sina Rafati +11
cs.CLcs.AIcs.LGarXiv:2605.16819v12026
Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
Yigit Turkmen, Baturalp Buyukates, Melih Bastopcu
cs.LGcs.AIcs.DCarXiv:2602.08003v12026
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Tengyang Xie, Nan Jiang, Huan Wang +2
cs.LGstat.MLarXiv:2106.04895v22021
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
Chenlu Ye, Wei Xiong, Yuheng Zhang +3
cs.LGstat.MLarXiv:2402.07314v32024
Explanation-Guided Fairness Testing through Genetic Algorithm
Ming Fan, Wenying Wei, Wuxia Jin +2
cs.NEcs.LGarXiv:2205.08335v12022
High Probability Derivative Bounds for Random tanh Neural Networks on a Hypercube
Josef Dick, Michael Feischl, Fabian Zehetgruber
cs.LGmath.NAarXiv:2608.26526v12026
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
stat.MLcs.LGarXiv:1804.09081v42018
In-Context Learning for Robots: Methods and Applications
Haojian Huang, Zexi Li, Junhao Guo +36
cs.ROcs.LGarXiv:2609.36012v12026
The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
Ekin Akyürek, Mehul Damani, Adam Zweiger +5
cs.AIcs.CLcs.LGarXiv:2411.07279v22024
More Correct Mass, Worse Answers: Why Power Sampling Can Fail and How to Fix It
Haohui Yang, Jiaxing Sun, Xiujun Ma
cs.LGarXiv:2608.14420v12026
A Tour of Reinforcement Learning: The View from Continuous Control
Benjamin Recht
math.OCcs.LGstat.MLarXiv:1806.09460v22018
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
Dujian Ding, Ankur Mallick, Shaokun Zhang +7
cs.LGcs.AIcs.CLarXiv:2506.22716v12025
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer
Coline Devin, Abhishek Gupta, Trevor Darrell +2
cs.LGcs.ROarXiv:1609.07088v12016
Brain tumor MRI image classification with feature selection and extraction using linear discriminant analysis
V. P. Gladis Pushpa Rathi, S. Palani
cs.CVcs.LGarXiv:1208.2128v12012
Context Based Emotion Recognition using EMOTIC Dataset
Ronak Kosti, Jose M. Alvarez, Adria Recasens +1
cs.CVcs.LGarXiv:2003.13401v12020
Exact Risk-Complexity Laws for Projective Boundaries in Scenario Optimization and Distribution-Free Certification
Giuseppe C. Calafiore
eess.SYcs.LGmath.OCarXiv:2609.01355v12026
Decoupled and Distilled: Task-Adaptive LoRA-Teachers with Ensemble Knowledge Transfer for Few-Shot Class-Incremental Learning
Hongwei Zhao, Rui Liu, Yansong Liu +2
cs.LGarXiv:2609.39390v12026
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs
Awni Y. Hannun, Andrew L. Maas, Daniel Jurafsky +1
cs.CLcs.LGcs.NEarXiv:1408.2873v22014
Hyperspherical Autoencoder for High-Fidelity Image Reconstruction and Generation
Hun Chang, Byunghee Cha, Jong Chul Ye
cs.CVcs.AIcs.LGarXiv:2601.22904v22026
Deep Semi-Supervised Anomaly Detection
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz +4
cs.LGstat.MLarXiv:1906.02694v22019
TwinMark: A Unified Watermark for Provable Survival Under Feature and Logit Distillation
Redwanul Karim, Tobias Feigl, Christopher Mutschler +1
cs.LGarXiv:2609.19011v12026
Spatio-temporally complementary feature propagation on graphs for longitudinal AADT estimation
Linghang Sun, Qishen Zhou, Michail A. Makridis +1
cs.LGarXiv:2609.29906v12026
$L^*LM$: Learning Automata from Examples using Natural Language Oracles
Marcell Vazquez-Chanlatte, Karim Elmaaroufi, Stefan J. Witwicki +2
cs.LGcs.AIcs.CLarXiv:2402.07051v22024
hint$^2$: Hierarchical World Models for Inference-Time Temporal Logic Guidance
Moritz Zoellner, Anastasios Manganaris, Ahmed H. Qureshi +1
cs.ROcs.LGarXiv:2608.13678v12026
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
Bowen Jin, Chulin Xie, Jiawei Zhang +8
cs.CLcs.IRcs.LGarXiv:2404.07103v32024
Quantum machine learning beyond kernel methods
Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup +3
quant-phcs.AIcs.LGarXiv:2110.13162v32021
Algorithmic Principles For Multiclass Learning Are Hard To Come By: Limits of Regularization and Proper Learning
Julian Asilis, Shaddin Dughmi, Vatsal Sharan +3
cs.LGstat.MLarXiv:2608.26516v12026
Deep Learning with Gaussian Differential Privacy
Zhiqi Bu, Jinshuo Dong, Qi Long +1
cs.LGcs.CRstat.MLarXiv:1911.11607v32019
WinoTS: Wavelet-based Self-Distillation for Time Series Models
Noam Major, Kathy Razmadze, Yoli Shavit
cs.LGcs.AIarXiv:2609.39337v12026
Deep Reinforcement Learning for Swarm Systems
Maximilian Hüttenrauch, Adrian Šošić, Gerhard Neumann
cs.MAcs.AIcs.LGarXiv:1807.06613v32018
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta +4
cs.CLcs.LGarXiv:2004.10964v32020
From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls
Hamed Jafarzadeh Asl, Yuanhao Yu, Vahid Partovi Nia
cs.LGcs.AIcs.CLarXiv:2609.09476v12026
Universal interpolation for deep residual self-attention networks
Sibylle Marcotte, Joan Bruna
cs.LGarXiv:2610.01981v12026
Generalized Singular Value Thresholding
Canyi Lu, Changbo Zhu, Chunyan Xu +2
cs.CVcs.LGmath.NAarXiv:1412.2231v22014
Post-Training Leaves Behavioral Shadows on Unrelated Decisions
Ziyang Zhang, Yubin Jing, Yuanhao Zeng +3
cs.CLcs.AIcs.LGarXiv:2609.29233v12026
Controlled-Minimax: Stabilizing Adversarial Optimization via Control Theory
Tianjiao Luo, Jianfei Chen, Jun Zhu
cs.LGarXiv:2610.12915v12026
Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications
Giuseppe De Giacomo, Luca Iocchi, Marco Favorito +1
cs.LGcs.AIstat.MLarXiv:1807.06333v22018
Rank-Then-Act: Reward-Free Control from Frame-Order Progress
Yuriy Maksyuta, George Bredis, Ruslan Rakhimov +1
cs.LGcs.AIarXiv:2607.01897v12026
TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models
Chansung Park, Juyong Jiang, Fan Wang +4
cs.CLcs.LGcs.SEarXiv:2602.15449v12026
Investigating the role of model-based learning in exploration and transfer
Jacob Walker, Eszter Vértes, Yazhe Li +4
cs.LGarXiv:2302.04009v12023
Sublinear Optimization for Machine Learning
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
cs.LGarXiv:1010.4408v12010
Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity
Zitao Shuai, Chenwei Wu, Zhengxu Tang +1
cs.LGcs.CLcs.CVarXiv:2404.03854v32024
Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks
Victor Dibia, Çağatay Demiralp
cs.HCcs.AIcs.LGarXiv:1804.03126v32018
DARE: Data Augmented Relation Extraction with GPT-2
Yannis Papanikolaou, Andrea Pierleoni
cs.CLcs.LGstat.MLarXiv:2004.13845v12020
Cheap Verifiers, Large Blind Spots: Measuring the Reliability Cost of Cost-Saving Cascades
Dushyant Rajput, Nirdesh Chauhan, Siddharth Kosaraju
cs.AIcs.CRcs.LGarXiv:2609.01345v22026
An End-to-End Transformer Model for 3D Object Detection
Ishan Misra, Rohit Girdhar, Armand Joulin
cs.CVcs.AIcs.LGarXiv:2109.08141v12021
Improved Noisy Student Training for Automatic Speech Recognition
Daniel S. Park, Yu Zhang, Ye Jia +5
eess.AScs.LGarXiv:2005.09629v22020
In-Hand Object Rotation via Rapid Motor Adaptation
Haozhi Qi, Ashish Kumar, Roberto Calandra +2
cs.ROcs.AIcs.CVarXiv:2210.04887v12022
Training-free Diffusion Model Alignment with Sampling Demons
Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng Chen
cs.CVcs.AIcs.LGarXiv:2410.05760v22024
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
Qiyu Kang, Yang Song, Qinxu Ding +1
cs.LGcs.CRcs.CVarXiv:2110.12976v12021
A Single Suffix to Break Them All: Basin-Aware Jailbreaks for Merged Model Families
Yu Zhe, Yixin Tan, Junhao Wei +1
cs.LGcs.CLarXiv:2608.26506v12026
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman, Adji Bousso Dieng
cs.LGcond-mat.mtrl-scistat.MLarXiv:2210.02410v22022
Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Ralf C. Staudemeyer, Eric Rothstein Morris
cs.NEcs.CLcs.LGarXiv:1909.09586v12019
An Introductory Study on Time Series Modeling and Forecasting
Ratnadip Adhikari, R. K. Agrawal
cs.LGstat.MLarXiv:1302.6613v12013
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov +1
cs.LGcs.AIcs.ROarXiv:1703.02660v22017
Generalized Determinantal Point Processes for Attraction and Repulsion with Distinct Interaction Kernels
Hideaki Ishibashi, Takahiro Kawashima, Hideitsu Hino
stat.MLcs.LGstat.COarXiv:2610.12894v12026

Machine Learning

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design

Transition Matching Distillation for Fast Video Generation

Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigm

ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation

AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents

Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection

Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning

Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Explanation-Guided Fairness Testing through Genetic Algorithm

High Probability Derivative Bounds for Random tanh Neural Networks on a Hypercube

Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution

In-Context Learning for Robots: Methods and Applications

The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

More Correct Mass, Worse Answers: Why Power Sampling Can Fail and How to Fix It

A Tour of Reinforcement Learning: The View from Continuous Control

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer

Brain tumor MRI image classification with feature selection and extraction using linear discriminant analysis

Context Based Emotion Recognition using EMOTIC Dataset

Exact Risk-Complexity Laws for Projective Boundaries in Scenario Optimization and Distribution-Free Certification

Decoupled and Distilled: Task-Adaptive LoRA-Teachers with Ensemble Knowledge Transfer for Few-Shot Class-Incremental Learning

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

Hyperspherical Autoencoder for High-Fidelity Image Reconstruction and Generation

Deep Semi-Supervised Anomaly Detection

TwinMark: A Unified Watermark for Provable Survival Under Feature and Logit Distillation

Spatio-temporally complementary feature propagation on graphs for longitudinal AADT estimation

$L^*LM$: Learning Automata from Examples using Natural Language Oracles

hint$^2$: Hierarchical World Models for Inference-Time Temporal Logic Guidance

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Quantum machine learning beyond kernel methods

Algorithmic Principles For Multiclass Learning Are Hard To Come By: Limits of Regularization and Proper Learning

Deep Learning with Gaussian Differential Privacy

WinoTS: Wavelet-based Self-Distillation for Time Series Models

Deep Reinforcement Learning for Swarm Systems

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls

Universal interpolation for deep residual self-attention networks

Generalized Singular Value Thresholding

Post-Training Leaves Behavioral Shadows on Unrelated Decisions

Controlled-Minimax: Stabilizing Adversarial Optimization via Control Theory

Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications

Rank-Then-Act: Reward-Free Control from Frame-Order Progress

TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models

Investigating the role of model-based learning in exploration and transfer

Sublinear Optimization for Machine Learning

Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity

Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks

DARE: Data Augmented Relation Extraction with GPT-2

Cheap Verifiers, Large Blind Spots: Measuring the Reliability Cost of Cost-Saving Cascades

An End-to-End Transformer Model for 3D Object Detection

Improved Noisy Student Training for Automatic Speech Recognition

In-Hand Object Rotation via Rapid Motor Adaptation

Training-free Diffusion Model Alignment with Sampling Demons

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks

A Single Suffix to Break Them All: Basin-Aware Jailbreaks for Merged Model Families

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

An Introductory Study on Time Series Modeling and Forecasting

Towards Generalization and Simplicity in Continuous Control

Generalized Determinantal Point Processes for Attraction and Repulsion with Distinct Interaction Kernels