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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10,321 to 10,380 of 20,193

ReLoRA: High-Rank Training Through Low-Rank Updates
Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira +1
cs.CLcs.LGarXiv:2307.05695v42023
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang, Huazhe Xu, Yi Wu +1
cs.LGcs.AIcs.ROarXiv:2003.13661v22020
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Mingu Kang, Heon Song, Seonwook Park +2
cs.CVcs.LGarXiv:2212.04690v22022
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
Qin Zou, Yanling Wang, Qian Wang +2
cs.LGeess.SPstat.MLarXiv:1811.00338v32018
RvS: What is Essential for Offline RL via Supervised Learning?
Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov +1
cs.LGcs.AIstat.MLarXiv:2112.10751v22021
Enhancing Robustness of Machine Learning Systems via Data Transformations
Arjun Nitin Bhagoji, Daniel Cullina, Chawin Sitawarin +1
cs.CRcs.LGarXiv:1704.02654v42017
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu +5
cs.LGcs.CRarXiv:2204.08570v22022
PySINDy: A comprehensive Python package for robust sparse system identification
Alan A. Kaptanoglu, Brian M. de Silva, Urban Fasel +9
eess.SYcs.LGphysics.flu-dynarXiv:2111.08481v22021
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi +1
cs.IRcs.LGcs.NEarXiv:1911.07698v32019
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
Wei Li, Wei Shao, Shaoxiong Ji +1
cs.CLcs.LGarXiv:2006.00492v32020
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas, Cédric Colas, Lilian Weng +2
cs.LGcs.AIstat.MLarXiv:2003.04664v22020
Orthogonal Statistical Learning
Dylan J. Foster, Vasilis Syrgkanis
math.STcs.LGecon.EMarXiv:1901.09036v42019
When Does a Classifier Help an LLM? Classifier-Guided Prompting and Hybrid Classifier-LLM Models for Credit-Default Prediction
Rishi Datta, Lavanya Prahallad
cs.CLcs.LGarXiv:2608.30086v12026
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network
Sijin Li, Zhi-Qiang Liu, Antoni B. Chan
cs.CVcs.LGcs.NEarXiv:1406.3474v12014
Word Embeddings: A Survey
Felipe Almeida, Geraldo Xexéo
cs.CLcs.LGstat.MLarXiv:1901.09069v22019
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Warren He, James Wei, Xinyun Chen +2
cs.LGarXiv:1706.04701v12017
Evolutionary Soups: Evolving Mixture-of-Experts for Multi-Objective LLM Alignment
Lingxiao Kong, Steffen Staab, Cong Yang +2
cs.CLcs.LGcs.NEarXiv:2608.29978v12026
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
cs.CLcs.AIcs.LGarXiv:1506.04089v42015
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
Daniel Jakubovitz, Raja Giryes
cs.LGcs.CRcs.CVarXiv:1803.08680v42018
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Robert L. Logan, Ivana Balažević, Eric Wallace +3
cs.CLcs.LGarXiv:2106.13353v22021
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications
Moming Duan, Duo Liu, Xianzhang Chen +4
cs.LGcs.DCstat.MLarXiv:1907.01132v22019
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
Peng Chen, Yingying Zhang, Yunyao Cheng +5
cs.LGarXiv:2402.05956v52024
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
Jianwei Yang, Anitha Kannan, Dhruv Batra +1
cs.CVcs.LGarXiv:1703.01560v32017
Optimal Algorithms for Testing Closeness of Discrete Distributions
Siu-On Chan, Ilias Diakonikolas, Gregory Valiant +1
cs.DScs.ITcs.LGarXiv:1308.3946v12013
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
Abbas Sadat, Sergio Casas, Mengye Ren +3
cs.ROcs.AIcs.CVarXiv:2008.05930v12020
Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data
Sushravya Raghunath, Alvaro E. Ulloa Cerna, Linyuan Jing +12
q-bio.QMcs.LGstat.MLarXiv:1904.07032v32019
Fast Supervised Discrete Hashing
Jie Gui, Tongliang Liu, Zhenan Sun +2
cs.LGstat.MLarXiv:1904.03556v12019
A Deep Reinforcement Learning Chatbot
Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain +15
cs.CLcs.AIcs.LGarXiv:1709.02349v22017
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Weizhi Ma, Min Zhang, Yue Cao +6
cs.IRcs.AIcs.LGarXiv:1903.03714v12019
When Safety Speaks a Language: A Mechanistic Analysis of Safety-Language Identity Entanglement in LLMs
Apoorva Upadhyaya, Sandipan Sikdar
cs.CLcs.LGarXiv:2608.29936v12026
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Ziwei Fan, Zhiwei Liu, Jiawei Zhang +3
cs.IRcs.AIcs.LGarXiv:2108.06625v22021
Compression-Aware Abstention: Teaching LLMs to Refuse When KV-Compression Masks Remove Answer Evidence
Mohammadali Khodabandehlou, Bhaskar Krishnamachari
cs.CLcs.LGarXiv:2608.29934v12026
Re-Identification with Consistent Attentive Siamese Networks
Meng Zheng, Srikrishna Karanam, Ziyan Wu +1
cs.CVcs.LGarXiv:1811.07487v42018
MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification
Chang Wei Tan, Angus Dempster, Christoph Bergmeir +1
cs.LGstat.MLarXiv:2102.00457v42021
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface
Ravikiran Mane, Effie Chew, Karen Chua +5
cs.OHcs.AIcs.LGarXiv:2104.01233v12021
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh
cs.LGarXiv:2011.02834v12020
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
Bo Tang, Steven Kay, Haibo He
stat.MLcs.CLcs.IRarXiv:1602.02850v12016
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
Georgios Papoudakis, Filippos Christianos, Arrasy Rahman +1
cs.LGcs.AIcs.MAarXiv:1906.04737v12019
IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks
Matteo Gadaleta, Michele Rossi
cs.CVcs.LGarXiv:1606.03238v32016
Influence-Directed Distillation: Solving the Diversity Bottleneck in Sampled-Token On-Policy Distillation
Run Yang, Runpeng Dai, Jie Sun +5
cs.CLcs.LGarXiv:2608.29846v12026
Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
Husein Perez, Joseph H. M. Tah, Amir Mosavi
cs.CVcs.AIcs.LGarXiv:1908.04392v12019
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar +7
cs.CLcs.AIcs.LGarXiv:1909.05358v12019
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto +8
eess.AScs.LGcs.SDarXiv:2006.05822v22020
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Jiechao Xiong, Qing Wang, Zhuoran Yang +7
cs.LGcs.AIstat.MLarXiv:1810.06394v12018
Regularization via Mass Transportation
Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
math.OCcs.LGstat.MLarXiv:1710.10016v32017
Language model compression with weighted low-rank factorization
Yen-Chang Hsu, Ting Hua, Sungen Chang +3
cs.LGcs.AIcs.CLarXiv:2207.00112v12022
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman +3
cs.CLcs.AIcs.LGarXiv:2305.18486v42023
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Peter Ondruska, Ingmar Posner
cs.LGcs.AIcs.CVarXiv:1602.00991v22016
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Ronen Basri, Meirav Galun, Amnon Geifman +3
cs.LGstat.MLarXiv:2003.04560v12020
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu, Yao Feng, Michael J. Black +3
cs.GRcs.AIcs.CVarXiv:2303.08133v22023
Preference Elicitation for Policy Optimization and Application to Aligning Heart Transplantation with Human Values
Itai Zilberstein, Ioannis Anagnostides, Zachary W Sollie +2
cs.AIcs.LGarXiv:2608.28620v12026
Provable approximation properties for deep neural networks
Uri Shaham, Alexander Cloninger, Ronald R. Coifman
stat.MLcs.LGcs.NEarXiv:1509.07385v32015
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data
Hongwei Zhang, Shuo Shao, Meixia Tao +2
cs.ITcs.LGcs.NIarXiv:2205.00271v32022
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
Ruslan Salakhutdinov, Nathan Srebro
cs.LGarXiv:1002.2780v12010
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Yuxuan Liang, Yutong Xia, Songyu Ke +5
eess.SPcs.LGarXiv:2211.15979v12022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
cs.LGstat.MEarXiv:2203.10716v22022
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
Samuel Kim, Peter Y. Lu, Srijon Mukherjee +4
cs.LGcs.NEphysics.data-anarXiv:1912.04825v22019
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
Wen Sun, Arun Venkatraman, Geoffrey J. Gordon +2
cs.LGarXiv:1703.01030v12017
Machine Learning-Enhanced Tabu Search for Tactical Wireless Network Design
Wissem Ahmed Zaid, Alain Hertz, Defeng Liu
cs.AIcs.LGmath.COarXiv:2608.28627v12026
Structural Pruning for Diffusion Models
Gongfan Fang, Xinyin Ma, Xinchao Wang
cs.LGcs.AIcs.CVarXiv:2305.10924v32023

Machine Learning

ReLoRA: High-Rank Training Through Low-Rank Updates

Multi-Task Reinforcement Learning with Soft Modularization

Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

RvS: What is Essential for Offline RL via Supervised Learning?

Enhancing Robustness of Machine Learning Systems via Data Transformations

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

PySINDy: A comprehensive Python package for robust sparse system identification

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis

Automatic Curriculum Learning For Deep RL: A Short Survey

Orthogonal Statistical Learning

When Does a Classifier Help an LLM? Classifier-Guided Prompting and Hybrid Classifier-LLM Models for Credit-Default Prediction

Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

Word Embeddings: A Survey

Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong

Evolutionary Soups: Evolving Mixture-of-Experts for Multi-Objective LLM Alignment

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences

Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models

Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

Optimal Algorithms for Testing Closeness of Discrete Distributions

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data

Fast Supervised Discrete Hashing

A Deep Reinforcement Learning Chatbot

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

When Safety Speaks a Language: A Mechanistic Analysis of Safety-Language Identity Entanglement in LLMs

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

Compression-Aware Abstention: Teaching LLMs to Refuse When KV-Compression Masks Remove Answer Evidence

Re-Identification with Consistent Attentive Siamese Networks

MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification

FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface

Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges

Toward Optimal Feature Selection in Naive Bayes for Text Categorization

Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning

IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks

Influence-Directed Distillation: Solving the Diversity Bottleneck in Sampled-Token On-Policy Distillation

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset

Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Regularization via Mass Transportation

Language model compression with weighted low-rank factorization

A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets

Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks

Frequency Bias in Neural Networks for Input of Non-Uniform Density

MeshDiffusion: Score-based Generative 3D Mesh Modeling

Preference Elicitation for Policy Optimization and Application to Aligning Heart Transplantation with Human Values

Provable approximation properties for deep neural networks

Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data

Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm

AirFormer: Predicting Nationwide Air Quality in China with Transformers

Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices

Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery

Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction

Machine Learning-Enhanced Tabu Search for Tactical Wireless Network Design

Structural Pruning for Diffusion Models