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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10,621 to 10,680 of 20,454

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
Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Axel Abels, Diederik M. Roijers, Tom Lenaerts +2
cs.LGcs.AIstat.MLarXiv:1809.07803v22018
Third-Person Imitation Learning
Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever
cs.LGarXiv:1703.01703v22017
Learning Memory Access Patterns
Milad Hashemi, Kevin Swersky, Jamie A. Smith +5
cs.LGstat.MLarXiv:1803.02329v12018
AdaPlanner: Adaptive Planning from Feedback with Language Models
Haotian Sun, Yuchen Zhuang, Lingkai Kong +2
cs.CLcs.AIcs.LGarXiv:2305.16653v12023
Federated Visual Classification with Real-World Data Distribution
Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
cs.LGcs.CVstat.MLarXiv:2003.08082v32020
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani, Aaron Mishkin, Issam Laradji +3
cs.LGmath.OCstat.MLarXiv:1905.09997v52019
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network
Xiao Yang, Ersin Yumer, Paul Asente +3
cs.CVcs.LGarXiv:1706.02337v12017
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification
Shaoxing Mo, Nicholas Zabaras, Xiaoqing Shi +1
stat.MLcs.LGarXiv:1812.09444v12018
On the Iteration Complexity of Hypergradient Computation
Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil +1
stat.MLcs.LGarXiv:2006.16218v22020
Graph Learning based Recommender Systems: A Review
Shoujin Wang, Liang Hu, Yan Wang +6
cs.IRcs.AIcs.LGarXiv:2105.06339v12021
A Living Review of Machine Learning for Particle Physics
Matthew Feickert, Benjamin Nachman
hep-phcs.LGhep-exarXiv:2102.02770v12021
Selective-Supervised Contrastive Learning with Noisy Labels
Shikun Li, Xiaobo Xia, Shiming Ge +1
cs.CVcs.AIcs.LGarXiv:2203.04181v12022
Generating Fact Checking Explanations
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1
cs.CLcs.AIcs.LGarXiv:2004.05773v12020
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
Zhifei Xie, Changqiao Wu
cs.AIcs.CLcs.HCarXiv:2408.16725v32024
Beyond Memorization: Violating Privacy Via Inference with Large Language Models
Robin Staab, Mark Vero, Mislav Balunović +1
cs.AIcs.LGarXiv:2310.07298v22023
Multi-Modal Hallucination Control by Visual Information Grounding
Alessandro Favero, Luca Zancato, Matthew Trager +5
cs.CVcs.CLcs.LGarXiv:2403.14003v12024
Randomized Smoothing of All Shapes and Sizes
Greg Yang, Tony Duan, J. Edward Hu +3
cs.LGcs.CVcs.NEarXiv:2002.08118v52020
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
T. Tony Cai, Rong Ma
stat.MLcs.LGmath.STarXiv:2105.07536v42021
A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White
cs.LGcs.AIcs.CLarXiv:2407.01603v32024
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Chunjie Luo, Jianfeng Zhan, Lei Wang +1
cs.LGcs.AIstat.MLarXiv:1702.05870v52017
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Yujing Hu, Weixun Wang, Hangtian Jia +5
cs.LGcs.AIarXiv:2011.02669v12020
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
Stanislav Fort, Gintare Karolina Dziugaite, Mansheej Paul +3
cs.LGstat.MLarXiv:2010.15110v12020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Ming Y. Lu, Dehan Kong, Jana Lipkova +5
eess.IVcs.CVcs.LGarXiv:2009.10190v22020
Understanding Membership Inferences on Well-Generalized Learning Models
Yunhui Long, Vincent Bindschaedler, Lei Wang +5
cs.CRcs.LGstat.MLarXiv:1802.04889v12018
Rearrangement: A Challenge for Embodied AI
Dhruv Batra, Angel X. Chang, Sonia Chernova +9
cs.AIcs.CVcs.LGarXiv:2011.01975v12020
Gmail Smart Compose: Real-Time Assisted Writing
Mia Xu Chen, Benjamin N Lee, Gagan Bansal +9
cs.CLcs.LGarXiv:1906.00080v12019
MedMamba: Vision Mamba for Medical Image Classification
Yubiao Yue, Zhenzhang Li
eess.IVcs.CVcs.LGarXiv:2403.03849v52024
Nested Hierarchical Dirichlet Processes
John Paisley, Chong Wang, David M. Blei +1
stat.MLcs.LGarXiv:1210.6738v42012
Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction
Yong Luo, Dacheng Tao, Yonggang Wen +2
stat.MLcs.CVcs.LGarXiv:1502.02330v12015
Deep Multimodal Learning for Audio-Visual Speech Recognition
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
cs.CLcs.LGarXiv:1501.05396v12015
A note on the triangle inequality for the Jaccard distance
Sven Kosub
cs.DMcs.IRcs.LGarXiv:1612.02696v12016

Machine Learning

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

Dynamic Weights in Multi-Objective Deep Reinforcement Learning

Third-Person Imitation Learning

Learning Memory Access Patterns

AdaPlanner: Adaptive Planning from Feedback with Language Models

Federated Visual Classification with Real-World Data Distribution

Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates

Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification

On the Iteration Complexity of Hypergradient Computation

Graph Learning based Recommender Systems: A Review

A Living Review of Machine Learning for Particle Physics

Selective-Supervised Contrastive Learning with Noisy Labels

Generating Fact Checking Explanations

Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Multi-Modal Hallucination Control by Visual Information Grounding

Randomized Smoothing of All Shapes and Sizes

Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

A Review of Large Language Models and Autonomous Agents in Chemistry

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping

Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel

Federated Learning for Computational Pathology on Gigapixel Whole Slide Images

Understanding Membership Inferences on Well-Generalized Learning Models

Rearrangement: A Challenge for Embodied AI

Gmail Smart Compose: Real-Time Assisted Writing

MedMamba: Vision Mamba for Medical Image Classification

Nested Hierarchical Dirichlet Processes

Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction

Deep Multimodal Learning for Audio-Visual Speech Recognition

A note on the triangle inequality for the Jaccard distance