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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15,721 to 15,780 of 20,186

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig +1
cs.CVcs.LGstat.MLarXiv:1903.04064v12019
IAPO: Influence-Aware Policy Optimization for Credit Assignment in Multi-Turn Service Agents
Bo Ren, Yirong Mao, Yi Yang +1
cs.LGarXiv:2608.24588v12026
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
Jwala Dhamala, Tony Sun, Varun Kumar +4
cs.CLcs.AIcs.LGarXiv:2101.11718v12021
Efficient GAN-Based Anomaly Detection
Houssam Zenati, Chuan Sheng Foo, Bruno Lecouat +2
cs.LGstat.MLarXiv:1802.06222v22018
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz-Rodríguez, Javier Del Ser, Mark Coeckelbergh +3
cs.CYcs.AIcs.LGarXiv:2305.02231v22023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang, Ran He, Tieniu Tan
cs.LGcs.AIcs.CVarXiv:2303.15361v22023
Gradient Sparsification for Communication-Efficient Distributed Optimization
Jianqiao Wangni, Jialei Wang, Ji Liu +1
cs.LGmath.NAstat.MLarXiv:1710.09854v12017
Mechanistic Circuit Identification for Controllable Data Generation
Nakyung Lee, Sangwoo Hong, Jungwoo Lee
cs.LGcs.AIcs.CLarXiv:2608.24065v12026
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
Patrick Chao, Edoardo Debenedetti, Alexander Robey +9
cs.CRcs.LGarXiv:2404.01318v52024
Do Transformers Really Perform Bad for Graph Representation?
Chengxuan Ying, Tianle Cai, Shengjie Luo +5
cs.LGcs.AIarXiv:2106.05234v52021
Tight Majorizations and Convergence Rates of Nuclear Norm Minimization IRLS
Christian Kümmerle, Tomas Masak, Dominik Stöger
cs.LGmath.NAmath.OCarXiv:2608.23765v12026
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Conor F. Hayes, Roxana Rădulescu, Eugenio Bargiacchi +15
cs.AIcs.LGarXiv:2103.09568v12021
Enhancing Computational Fluid Dynamics with Machine Learning
Ricardo Vinuesa, Steven L. Brunton
physics.flu-dyncs.LGphysics.comp-pharXiv:2110.02085v22021
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
Szilárd Aradi
cs.LGeess.SYstat.MLarXiv:2001.11231v12020
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha, Sanghyuk Chun, Kyungjae Lee +4
cs.LGcs.CVarXiv:2102.08604v42021
Calibration-Preserving Pruning: Compression as a Reliability Contract
Ibne Farabi Shihab, Adria Binte Habib, Anuj Sharma
cs.LGcs.CLarXiv:2608.23744v12026
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
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
Curtis Hawthorne, Andriy Stasyuk, Adam Roberts +6
cs.SDcs.LGeess.ASarXiv:1810.12247v52018
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo, Gang Niu, Marthinus C. du Plessis +1
cs.LGstat.MLarXiv:1703.00593v22017
Mitigating Exploration Bias in RL for Multi-Instruction Following
Mian Zhang, Yueqin Yin, Kaiyu He +4
cs.CLcs.LGarXiv:2608.23830v12026
RouteLLM: Learning to Route LLMs with Preference Data
Isaac Ong, Amjad Almahairi, Vincent Wu +5
cs.LGcs.AIcs.CLarXiv:2406.18665v42024
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Jee-weon Jung, Hee-Soo Heo, Hemlata Tak +5
eess.AScs.AIcs.LGarXiv:2110.01200v12021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation
Chuhan Wu, Fangzhao Wu, Lingjuan Lyu +2
cs.LGcs.CLarXiv:2108.13323v22021
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Yen-Chun Chen, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1805.11080v12018
Conditional GraphGANFed: Optimizing Graph-Structured Molecule Generation in Federated Generative Adversarial Networks
Daniel Manu, Abee Alazzwi
cs.LGcs.DCarXiv:2608.24610v12026
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs
Xuhui Meng, Zhen Li, Dongkun Zhang +1
physics.comp-phcs.LGstat.MLarXiv:1909.10145v12019
Learning Data Augmentation Strategies for Object Detection
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi +3
cs.CVcs.LGarXiv:1906.11172v12019
Deep Global Registration
Christopher Choy, Wei Dong, Vladlen Koltun
cs.CVcs.CGcs.LGarXiv:2004.11540v22020
An LSTM Network for Highway Trajectory Prediction
Florent Altché, Arnaud de La Fortelle
cs.ROcs.LGarXiv:1801.07962v12018
On Loss Functions for Deep Neural Networks in Classification
Katarzyna Janocha, Wojciech Marian Czarnecki
cs.LGarXiv:1702.05659v12017
YaRN: Efficient Context Window Extension of Large Language Models
Bowen Peng, Jeffrey Quesnelle, Honglu Fan +1
cs.CLcs.AIcs.LGarXiv:2309.00071v32023
Large-scale Multi-view Subspace Clustering in Linear Time
Zhao Kang, Wangtao Zhou, Zhitong Zhao +3
cs.LGcs.CVstat.MLarXiv:1911.09290v12019
On Smoothing and Inference for Topic Models
Arthur Asuncion, Max Welling, Padhraic Smyth +1
cs.LGstat.MLarXiv:1205.2662v12012
FlowNeg: GFlowNet-Guided Diverse Hard Negative Sampling for Knowledge Graph Embedding
Ibne Farabi Shihab, Naoshin Anzum Hridi, Joyanta Jyoti Mondal
cs.LGarXiv:2608.23849v12026
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan, Ziliang Chen, Anni Xu +3
cs.CVcs.LGarXiv:1909.13032v22019
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
RJ Skerry-Ryan, Eric Battenberg, Ying Xiao +6
cs.CLcs.LGcs.SDarXiv:1803.09047v12018
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
Zhun Zhong, Liang Zheng, Zhiming Luo +2
cs.CVcs.LGarXiv:1904.01990v12019
A review of domain adaptation without target labels
Wouter M. Kouw, Marco Loog
cs.LGstat.MLarXiv:1901.05335v22019
SAITS: Self-Attention-based Imputation for Time Series
Wenjie Du, David Cote, Yan Liu
cs.LGarXiv:2202.08516v52022
A study of the effect of JPG compression on adversarial images
Gintare Karolina Dziugaite, Zoubin Ghahramani, Daniel M. Roy
cs.CVcs.LGarXiv:1608.00853v12016
Differential Learning for Robust Prediction of Thermal Stability with Application to Energetic Materials
Megan C. Davis, R. Seaton Ullberg, Jeremy N. Schroeder +5
physics.chem-phcond-mat.mtrl-scics.LGarXiv:2608.23874v12026
MirrorGAN: Learning Text-to-image Generation by Redescription
Tingting Qiao, Jing Zhang, Duanqing Xu +1
cs.CLcs.CVcs.LGarXiv:1903.05854v12019
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
Haoming Jiang, Pengcheng He, Weizhu Chen +3
cs.CLcs.LGmath.OCarXiv:1911.03437v52019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Tianyi Lin, Chi Jin, Michael I. Jordan
cs.LGmath.OCstat.MLarXiv:1906.00331v102019
Mapping the Concept Landscape: Structural Perception of Global Distributions for Transparent Data Pruning
Dongyue Wu, Tao Ma
cs.LGcs.CVarXiv:2608.22858v12026
End-to-End Text-Dependent Speaker Verification
Georg Heigold, Ignacio Moreno, Samy Bengio +1
cs.LGcs.SDarXiv:1509.08062v12015
Clotho: An Audio Captioning Dataset
Konstantinos Drossos, Samuel Lipping, Tuomas Virtanen
cs.SDcs.CLcs.LGarXiv:1910.09387v12019
DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Perturbation Prediction
Jiawen Liu, Xuechenxiao Cao, Yutong Li +5
cs.LGcs.AIarXiv:2608.23114v12026
CatchBench: When Can an Agent Failure Be Caught?
Yue Zhao
cs.LGcs.MAcs.PFarXiv:2608.22808v12026
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi +3
cs.LGcs.AIarXiv:2410.05229v22024
Efficient Machine Learning for Big Data: A Review
O. Y. Al-Jarrah, P. D. Yoo, S Muhaidat +2
cs.LGcs.AIarXiv:1503.05296v12015
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
Zhouxia Wang, Ziyang Yuan, Xintao Wang +4
cs.CVcs.AIcs.LGarXiv:2312.03641v22023
On the (In)fidelity and Sensitivity for Explanations
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala +2
cs.LGstat.MLarXiv:1901.09392v42019
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler, Mario Geiger, Max Welling +2
cs.LGstat.MLarXiv:1807.02547v22018
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz, Lilian Weng, Minwoo Kim +1
cs.LGarXiv:2205.00824v12022
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Seungone Kim, Jamin Shin, Yejin Cho +8
cs.CLcs.LGarXiv:2310.08491v22023
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
Dan Hendrycks, Mantas Mazeika, Duncan Wilson +1
cs.LGcs.CLcs.CVarXiv:1802.05300v42018
A Formal Methodological Framework for Auditing Robustness and Fidelity in Explainable AI: From Application to Trust Certification
Rosa Elysabeth Ralinirina, Jean Christian Ralaivao, Niaiko Michaël Ralaivao +2
cs.AIcs.CYcs.LGarXiv:2608.23817v12026
MolEmb: Multimodal Large Language Models Can Be Strong Molecular Embedding Models
Xinjian Zhao, Xiangru Jian, Yaoyao Xu +4
cs.AIcs.LGarXiv:2608.23646v12026
Generative Neural Networks for Sinkhorn Distributionally Robust Hypothesis Testing
Fenglin Zhang, Teyan Liu, Jie Wang
stat.MLcs.LGmath.OCarXiv:2608.22746v12026

Machine Learning

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation

IAPO: Influence-Aware Policy Optimization for Credit Assignment in Multi-Turn Service Agents

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Efficient GAN-Based Anomaly Detection

Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation

A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

Gradient Sparsification for Communication-Efficient Distributed Optimization

Mechanistic Circuit Identification for Controllable Data Generation

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Do Transformers Really Perform Bad for Graph Representation?

Tight Majorizations and Convergence Rates of Nuclear Norm Minimization IRLS

A Practical Guide to Multi-Objective Reinforcement Learning and Planning

Enhancing Computational Fluid Dynamics with Machine Learning

Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles

SWAD: Domain Generalization by Seeking Flat Minima

Calibration-Preserving Pruning: Compression as a Reliability Contract

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

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

Positive-Unlabeled Learning with Non-Negative Risk Estimator

Mitigating Exploration Bias in RL for Multi-Instruction Following

RouteLLM: Learning to Route LLMs with Preference Data

AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks

FedKD: Communication Efficient Federated Learning via Knowledge Distillation

Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting

Conditional GraphGANFed: Optimizing Graph-Structured Molecule Generation in Federated Generative Adversarial Networks

PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs

Learning Data Augmentation Strategies for Object Detection

Deep Global Registration

An LSTM Network for Highway Trajectory Prediction

On Loss Functions for Deep Neural Networks in Classification

YaRN: Efficient Context Window Extension of Large Language Models

Large-scale Multi-view Subspace Clustering in Linear Time

On Smoothing and Inference for Topic Models

FlowNeg: GFlowNet-Guided Diverse Hard Negative Sampling for Knowledge Graph Embedding

Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification

A review of domain adaptation without target labels

SAITS: Self-Attention-based Imputation for Time Series

A study of the effect of JPG compression on adversarial images

Differential Learning for Robust Prediction of Thermal Stability with Application to Energetic Materials

MirrorGAN: Learning Text-to-image Generation by Redescription

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems

Mapping the Concept Landscape: Structural Perception of Global Distributions for Transparent Data Pruning

End-to-End Text-Dependent Speaker Verification

Clotho: An Audio Captioning Dataset

DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Perturbation Prediction

CatchBench: When Can an Agent Failure Be Caught?

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Efficient Machine Learning for Big Data: A Review

MotionCtrl: A Unified and Flexible Motion Controller for Video Generation

On the (In)fidelity and Sensitivity for Explanations

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

Exploration in Deep Reinforcement Learning: A Survey

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise

A Formal Methodological Framework for Auditing Robustness and Fidelity in Explainable AI: From Application to Trust Certification

MolEmb: Multimodal Large Language Models Can Be Strong Molecular Embedding Models

Generative Neural Networks for Sinkhorn Distributionally Robust Hypothesis Testing