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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11,041 to 11,100 of 20,193

Quilt-1M: One Million Image-Text Pairs for Histopathology
Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo +5
cs.CVcs.CLcs.LGarXiv:2306.11207v42023
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan +1
cs.CLcs.LGstat.MLarXiv:1812.02303v42018
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis
Cheng Cheng, Beitong Zhou, Guijun Ma +2
cs.LGeess.SPstat.MLarXiv:1903.06753v12019
Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework
Dimitrios Kollias, Stefanos Zafeiriou
cs.CVcs.AIcs.LGarXiv:2103.15792v12021
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah, Mansooreh Karami, Ruocheng Guo +2
cs.LGstat.MLarXiv:2003.03934v32020
Reducing conversational agents' overconfidence through linguistic calibration
Sabrina J. Mielke, Arthur Szlam, Emily Dinan +1
cs.CLcs.AIcs.LGarXiv:2012.14983v22020
Personalized Education in the AI Era: What to Expect Next?
Setareh Maghsudi, Andrew Lan, Jie Xu +1
cs.CYcs.AIcs.LGarXiv:2101.10074v12021
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things
Wen Sun, Shiyu Lei, Lu Wang +2
cs.LGcs.DCarXiv:2010.13058v22020
Gotta Go Fast When Generating Data with Score-Based Models
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer +2
cs.LGcs.CVmath.OCarXiv:2105.14080v12021
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Kevin Ellis, Catherine Wong, Maxwell Nye +6
cs.AIcs.LGarXiv:2006.08381v12020
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics
Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh +5
cs.LGcs.CVarXiv:1703.02952v72017
On the Computational and Statistical Efficiency of the Empirical Maximum Entropy on the Mean Method
Matthew King-Roskamp, Gabriel Rioux, Rustum Choksi +1
math.OCcs.LGstat.MLarXiv:2608.27705v12026
SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
Amey Agrawal, Ashish Panwar, Jayashree Mohan +3
cs.LGcs.DCarXiv:2308.16369v12023
Unsupervised Continual Learning with Growing Self-Organizing Maps and Synthetic Replay
Pujan Thapa, Alexander Ororbia, Travis Desell
cs.LGarXiv:2608.27662v12026
Reinforcement Learning with Parameterized Actions
Warwick Masson, Pravesh Ranchod, George Konidaris
cs.AIcs.LGarXiv:1509.01644v42015
Rank Centrality: Ranking from Pair-wise Comparisons
Sahand Negahban, Sewoong Oh, Devavrat Shah
cs.LGstat.MLarXiv:1209.1688v42012
Deep Reinforcement Learning with a Natural Language Action Space
Ji He, Jianshu Chen, Xiaodong He +4
cs.AIcs.CLcs.LGarXiv:1511.04636v52015
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction
Huaxiu Yao, Yiding Liu, Ying Wei +2
cs.LGstat.MLarXiv:1901.08518v32019
AlphaFold Meets Flow Matching for Generating Protein Ensembles
Bowen Jing, Bonnie Berger, Tommi Jaakkola
q-bio.BMcs.LGarXiv:2402.04845v22024
Multi-Game Decision Transformers
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang +8
cs.AIcs.LGarXiv:2205.15241v22022
Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models
Cheng Lu, Yang Song
cs.LGstat.MLarXiv:2410.11081v22024
TBT: Targeted Neural Network Attack with Bit Trojan
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
cs.CRcs.LGcs.NEarXiv:1909.05193v32019
Speaker-independent Speech Separation with Deep Attractor Network
Yi Luo, Zhuo Chen, Nima Mesgarani
cs.SDcs.LGarXiv:1707.03634v32017
From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function
Rafael Rafailov, Joey Hejna, Ryan Park +1
cs.LGarXiv:2404.12358v22024
Diffusion-TS: Interpretable Diffusion for General Time Series Generation
Xinyu Yuan, Yan Qiao
cs.LGcs.AIarXiv:2403.01742v32024
Conditional Diffusion Models for Energy-Efficient Driving
Hemanth Neelgund Ramesh, André Snoeck, Chyi-Fu Hong +1
cs.LGarXiv:2608.28142v12026
Beyond Pairwise Graphs in Science: Hypergraph Adaptive Wavelet Operators for Parametric PDEs
Rajat Sarkar, Venkataramana Runkana, Souvik Chakraborty
cs.LGphysics.comp-pharXiv:2608.27883v12026
Self-Chained Image-Language Model for Video Localization and Question Answering
Shoubin Yu, Jaemin Cho, Prateek Yadav +1
cs.CVcs.AIcs.CLarXiv:2305.06988v22023
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Zihang Dai, Guokun Lai, Yiming Yang +1
cs.LGcs.CLstat.MLarXiv:2006.03236v12020
Federated Graph Classification over Non-IID Graphs
Han Xie, Jing Ma, Li Xiong +1
cs.LGcs.AIcs.DCarXiv:2106.13423v52021
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar
cs.LGmath.OCstat.MLarXiv:1908.10400v42019
Self-Play Preference Optimization for Language Model Alignment
Yue Wu, Zhiqing Sun, Huizhuo Yuan +3
cs.LGcs.AIcs.CLarXiv:2405.00675v52024
Reward Augmented Maximum Likelihood for Neural Structured Prediction
Mohammad Norouzi, Samy Bengio, Zhifeng Chen +4
cs.LGarXiv:1609.00150v32016
Spelling Error Correction with Soft-Masked BERT
Shaohua Zhang, Haoran Huang, Jicong Liu +1
cs.CLcs.LGarXiv:2005.07421v12020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
Alekh Agarwal, Sham Kakade, Akshay Krishnamurthy +1
cs.LGstat.MLarXiv:2006.10814v22020
Freeform Diffractive Metagrating Design Based on Generative Adversarial Networks
Jiaqi Jiang, David Sell, Stephan Hoyer +3
physics.opticscs.LGarXiv:1811.12436v22018
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition
Ümit Çavuş Büyükşahin, Şeyda Ertekin
cs.LGstat.MLarXiv:1812.11526v12018
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Stefan Studer, Thanh Binh Bui, Christian Drescher +4
cs.LGcs.SEstat.MLarXiv:2003.05155v22020
A Principled Approach to Data Valuation for Federated Learning
Tianhao Wang, Johannes Rausch, Ce Zhang +2
cs.LGcs.CYstat.MLarXiv:2009.06192v12020
Towards Visually Explaining Variational Autoencoders
Wenqian Liu, Runze Li, Meng Zheng +5
cs.CVcs.LGarXiv:1911.07389v72019
Machine Learning in High Energy Physics Community White Paper
Kim Albertsson, Piero Altoe, Dustin Anderson +125
physics.comp-phcs.LGhep-exarXiv:1807.02876v32018
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha +4
cs.LGcs.CRcs.CVarXiv:2208.03392v52022
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +6
cs.CVcs.AIcs.GRarXiv:2307.06949v22023
On weight initialization in deep neural networks
Siddharth Krishna Kumar
cs.LGarXiv:1704.08863v22017
The Consciousness Prior
Yoshua Bengio
cs.LGcs.AIstat.MLarXiv:1709.08568v22017
Learning to Optimize Domain Specific Normalization for Domain Generalization
Seonguk Seo, Yumin Suh, Dongwan Kim +3
cs.LGstat.MLarXiv:1907.04275v32019
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Qianli Liao, Tomaso Poggio
cs.LGcs.NEarXiv:1604.03640v22016
Towards Large-Scale Heterogeneous Data Organization for Scientific Foundation Models: A Nuclear Fusion Case Study
Nathaniel Chen, Kouroche Bouchiat, Peter Steiner +3
physics.plasm-phcs.LGarXiv:2608.27578v12026
Variational Recurrent Auto-Encoders
Otto Fabius, Joost R. van Amersfoort
stat.MLcs.LGcs.NEarXiv:1412.6581v62014
Data Interpreter: An LLM Agent For Data Science
Sirui Hong, Yizhang Lin, Bang Liu +24
cs.AIcs.LGarXiv:2402.18679v42024
Towards a mathematical theory of superposition
Michael I. Ivanitskiy, John Jasper, Emily J. King +1
stat.MLcs.ITcs.LGarXiv:2608.27540v12026
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier +29
cs.CVcs.CLcs.LGarXiv:2403.09611v42024
More Data Cannot Break a Symmetry: Identifiability by Design
Jing Xu, Christopher Kanan
cs.LGarXiv:2608.27651v12026
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan
cs.LGstat.MLarXiv:2002.02561v72020
A study on effectiveness of extreme learning machine
Yuguang Wang, Feilong Cao, Yubo Yuan
cs.NEcs.LGarXiv:1409.3924v12014
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito +1
cs.AIcs.LGarXiv:2102.11848v12021
Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index
Hamed Majidifard, Yaw Adu-Gyamfi, William G. Buttlar
stat.MLcs.LGstat.COarXiv:2004.13314v12020
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit
Belinda Tzen, Maxim Raginsky
cs.LGstat.MLarXiv:1905.09883v22019
Learning Longer Memory in Recurrent Neural Networks
Tomas Mikolov, Armand Joulin, Sumit Chopra +2
cs.NEcs.LGarXiv:1412.7753v22014
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
Anmol Sharma, Ghassan Hamarneh
eess.IVcs.AIcs.CVarXiv:1904.12200v32019

Machine Learning

Quilt-1M: One Million Image-Text Pairs for Histopathology

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis

Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework

Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation

Reducing conversational agents' overconfidence through linguistic calibration

Personalized Education in the AI Era: What to Expect Next?

Adaptive Federated Learning and Digital Twin for Industrial Internet of Things

Gotta Go Fast When Generating Data with Score-Based Models

DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

On the Computational and Statistical Efficiency of the Empirical Maximum Entropy on the Mean Method

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

Unsupervised Continual Learning with Growing Self-Organizing Maps and Synthetic Replay

Reinforcement Learning with Parameterized Actions

Rank Centrality: Ranking from Pair-wise Comparisons

Deep Reinforcement Learning with a Natural Language Action Space

Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction

AlphaFold Meets Flow Matching for Generating Protein Ensembles

Multi-Game Decision Transformers

Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

TBT: Targeted Neural Network Attack with Bit Trojan

Speaker-independent Speech Separation with Deep Attractor Network

From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function

Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Conditional Diffusion Models for Energy-Efficient Driving

Beyond Pairwise Graphs in Science: Hypergraph Adaptive Wavelet Operators for Parametric PDEs

Self-Chained Image-Language Model for Video Localization and Question Answering

Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing

Federated Graph Classification over Non-IID Graphs

On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms

Self-Play Preference Optimization for Language Model Alignment

Reward Augmented Maximum Likelihood for Neural Structured Prediction

Spelling Error Correction with Soft-Masked BERT

FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs

Freeform Diffractive Metagrating Design Based on Generative Adversarial Networks

Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology

A Principled Approach to Data Valuation for Federated Learning

Towards Visually Explaining Variational Autoencoders

Machine Learning in High Energy Physics Community White Paper

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

On weight initialization in deep neural networks

The Consciousness Prior

Learning to Optimize Domain Specific Normalization for Domain Generalization

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex

Towards Large-Scale Heterogeneous Data Organization for Scientific Foundation Models: A Nuclear Fusion Case Study

Variational Recurrent Auto-Encoders

Data Interpreter: An LLM Agent For Data Science

Towards a mathematical theory of superposition

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

More Data Cannot Break a Symmetry: Identifiability by Design

Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks

A study on effectiveness of extreme learning machine

An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery

Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index

Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit

Learning Longer Memory in Recurrent Neural Networks

Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network