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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1,621 to 1,680 of 20,193

The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
Zonglin Li, Chong You, Srinadh Bhojanapalli +8
cs.LGcs.CLcs.CVarXiv:2210.06313v22022
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features
Milad Salem, Shayan Taheri, Jiann Shiun-Yuan
cs.LGcs.CVstat.MLarXiv:1812.04693v12018
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
Juergen Schmidhuber
cs.AIcs.LGarXiv:1912.02875v22019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
cs.AIcs.LGcs.ROarXiv:1907.09620v32019
DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh, Jiaming Song, Guilin Liu +2
cs.CVcs.AIcs.LGarXiv:2312.02139v32023
Clinical Intervention Prediction and Understanding using Deep Networks
Harini Suresh, Nathan Hunt, Alistair Johnson +3
cs.LGarXiv:1705.08498v12017
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
De-An Huang, Suraj Nair, Danfei Xu +5
cs.CVcs.AIcs.LGarXiv:1807.03480v22018
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't
Weinan E, Chao Ma, Stephan Wojtowytsch +1
cs.LGmath.NAstat.MLarXiv:2009.10713v32020
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks
Elnaz Soleimani, Ehsan Nazerfard
cs.LGstat.MLarXiv:1903.12489v12019
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Tailai Wen, Roy Keyes
cs.LGcs.CVstat.MLarXiv:1905.13628v12019
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays
Pedro R. A. S. Bassi, Romis Attux
eess.IVcs.CVcs.LGarXiv:2005.01578v42020
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Haoran Ye, Jiarui Wang, Zhiguang Cao +2
cs.NEcs.AIcs.LGarXiv:2309.14032v22023
Machine Unlearning: Solutions and Challenges
Jie Xu, Zihan Wu, Cong Wang +1
cs.LGcs.AIarXiv:2308.07061v32023
Domain-Specific Hallucination Detection in Large Language Models
Varun Teja Chundru, Debasmita Biswas
cs.CLcs.AIcs.LGarXiv:2609.11878v12026
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks
Jingyuan Wang, Yang Zhang, Ke Tang +2
q-fin.TRcs.LGq-fin.STarXiv:1908.02646v12019
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
Jun Luo, Shandong Wu
cs.LGarXiv:2110.08394v32021
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Salva Rühling Cachay, Bo Zhao, Hailey Joren +1
cs.LGcs.AIstat.MLarXiv:2306.01984v22023
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Chaofan Lin, Zhenhua Han, Chengruidong Zhang +4
cs.LGcs.AIarXiv:2405.19888v12024
Learning Theory and Algorithms for Revenue Optimization in Second-Price Auctions with Reserve
Mehryar Mohri, Andres Muñoz Medina
cs.LGarXiv:1310.5665v32013
Label Noise SGD Provably Prefers Flat Global Minimizers
Alex Damian, Tengyu Ma, Jason D. Lee
cs.LGcs.ITmath.OCarXiv:2106.06530v22021
AnglE-optimized Text Embeddings
Xianming Li, Jing Li
cs.CLcs.AIcs.LGarXiv:2309.12871v92023
Prediction and Clustering in Signed Networks: A Local to Global Perspective
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan +2
cs.SIcs.LGarXiv:1302.5145v22013
Making Neural Programming Architectures Generalize via Recursion
Jonathon Cai, Richard Shin, Dawn Song
cs.LGcs.NEcs.PLarXiv:1704.06611v12017
Direct-Manipulation Visualization of Deep Networks
Daniel Smilkov, Shan Carter, D. Sculley +2
cs.LGcs.HCstat.MLarXiv:1708.03788v12017
Automated Variational Inference in Probabilistic Programming
David Wingate, Theophane Weber
stat.MLcs.AIcs.LGarXiv:1301.1299v12013
LOCUS: Task-Aware Low-Rank Post-Training for Token-Efficient Language Generation
Dongfang Zhao
cs.CLcs.AIcs.LGarXiv:2609.11739v12026
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges +6
cs.AIcs.LGarXiv:1902.01378v22019
Towards neural networks that provably know when they don't know
Alexander Meinke, Matthias Hein
cs.LGcs.CVstat.MLarXiv:1909.12180v22019
Negative Self-Distillation: Learning to Reason by Avoiding Flaws
Rongcan Pei, Zhepei Wei, Shuyao Xu +3
cs.CLcs.LGarXiv:2609.11699v12026
Global Encoding for Abstractive Summarization
Junyang Lin, Xu Sun, Shuming Ma +1
cs.CLcs.AIcs.LGarXiv:1805.03989v22018
Generative AI in the Construction Industry: Opportunities & Challenges
Prashnna Ghimire, Kyungki Kim, Manoj Acharya
cs.AIcs.LGarXiv:2310.04427v12023
On Learning Sets of Symmetric Elements
Haggai Maron, Or Litany, Gal Chechik +1
cs.LGstat.MLarXiv:2002.08599v42020
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
Ranggi Hwang, Jianyu Wei, Shijie Cao +4
cs.LGcs.AIcs.ARarXiv:2308.12066v32023
Structural priors for data-efficient language learning
Yana Veitsman, Jonas Mayer Martins, Jonathan Lautenschlager +1
cs.CLcs.AIcs.LGarXiv:2609.11505v12026
An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software
Rick Salay, Rodrigo Queiroz, Krzysztof Czarnecki
cs.AIcs.LGcs.SEarXiv:1709.02435v12017
FasterViT: Fast Vision Transformers with Hierarchical Attention
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin +4
cs.CVcs.AIcs.LGarXiv:2306.06189v22023
E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets
Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi
cs.CLcs.AIcs.LGarXiv:2609.11334v12026
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Yue Zhao, Maciej K. Hryniewicki
cs.LGcs.DBcs.IRarXiv:1912.00290v12019
Block-Recurrent Transformers
DeLesley Hutchins, Imanol Schlag, Yuhuai Wu +2
cs.LGcs.AIcs.NEarXiv:2203.07852v32022
VCT: A Video Compression Transformer
Fabian Mentzer, George Toderici, David Minnen +4
cs.CVcs.LGeess.IVarXiv:2206.07307v22022
DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz +1
eess.AScs.LGeess.SParXiv:2110.05588v22021
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
Felix Wu, Kwangyoun Kim, Jing Pan +3
cs.CLcs.LGcs.SDarXiv:2109.06870v12021
Preference-based Online Learning with Dueling Bandits: A Survey
Viktor Bengs, Robert Busa-Fekete, Adil El Mesaoudi-Paul +1
cs.LGstat.MLarXiv:1807.11398v22018
Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN
Guanxiong Shen, Junqing Zhang, Alan Marshall +2
eess.SPcs.LGarXiv:2101.01668v12020
On Network Design Spaces for Visual Recognition
Ilija Radosavovic, Justin Johnson, Saining Xie +2
cs.CVcs.LGarXiv:1905.13214v12019
Interpretable Distribution Features with Maximum Testing Power
Wittawat Jitkrittum, Zoltan Szabo, Kacper Chwialkowski +1
stat.MLcs.LGarXiv:1605.06796v22016
AIDE: Fast and Communication Efficient Distributed Optimization
Sashank J. Reddi, Jakub Konečný, Peter Richtárik +2
math.OCcs.LGstat.MLarXiv:1608.06879v12016
CKConv: Continuous Kernel Convolution For Sequential Data
David W. Romero, Anna Kuzina, Erik J. Bekkers +2
cs.LGarXiv:2102.02611v32021
Improving Generalization via Scalable Neighborhood Component Analysis
Zhirong Wu, Alexei A. Efros, Stella X. Yu
cs.CVcs.LGarXiv:1808.04699v12018
Projected Subgradient Methods for Learning Sparse Gaussians
John Duchi, Stephen Gould, Daphne Koller
cs.LGstat.MLarXiv:1206.3249v12012
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
Roman Beliy, Guy Gaziv, Assaf Hoogi +3
eess.IVcs.LGq-bio.NCarXiv:1907.02431v12019
Optimal approximate matrix product in terms of stable rank
Michael B. Cohen, Jelani Nelson, David P. Woodruff
cs.DScs.LGstat.MLarXiv:1507.02268v32015
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Shentong Mo, Enze Xie, Ruihang Chu +4
cs.CVcs.AIcs.LGarXiv:2307.01831v12023
Loss of Plasticity in Continual Deep Reinforcement Learning
Zaheer Abbas, Rosie Zhao, Joseph Modayil +2
cs.LGcs.AIarXiv:2303.07507v12023
RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks
Rafael Josip Penić, Tin Vlašić, Roland G. Huber +2
q-bio.BMcs.LGarXiv:2403.00043v22024
A Fragility Spectrum for Recursive Language-Model Training
Yangze Liu, Zhongyi Han
cs.CLcs.AIcs.LGarXiv:2609.11149v12026
Self-Distillation as Instance-Specific Label Smoothing
Zhilu Zhang, Mert R. Sabuncu
cs.LGstat.MLarXiv:2006.05065v22020
Decentralized Federated Learning: A Survey on Security and Privacy
Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif +2
cs.CRcs.AIcs.LGarXiv:2401.17319v12024
A Survey on Uncertainty Quantification Methods for Deep Learning
Wenchong He, Zhe Jiang, Tingsong Xiao +2
cs.LGstat.MLarXiv:2302.13425v72023
Penetrative AI: Making LLMs Comprehend the Physical World
Huatao Xu, Liying Han, Qirui Yang +2
cs.AIcs.LGarXiv:2310.09605v32023

Machine Learning

The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers

ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features

Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions

Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning

DiffiT: Diffusion Vision Transformers for Image Generation

Clinical Intervention Prediction and Understanding using Deep Networks

Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration

Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't

Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks

Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning

A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays

DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

Machine Unlearning: Solutions and Challenges

Domain-Specific Hallucination Detection in Large Language Models

AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks

Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Learning Theory and Algorithms for Revenue Optimization in Second-Price Auctions with Reserve

Label Noise SGD Provably Prefers Flat Global Minimizers

AnglE-optimized Text Embeddings

Prediction and Clustering in Signed Networks: A Local to Global Perspective

Making Neural Programming Architectures Generalize via Recursion

Direct-Manipulation Visualization of Deep Networks

Automated Variational Inference in Probabilistic Programming

LOCUS: Task-Aware Low-Rank Post-Training for Token-Efficient Language Generation

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

Towards neural networks that provably know when they don't know

Negative Self-Distillation: Learning to Reason by Avoiding Flaws

Global Encoding for Abstractive Summarization

Generative AI in the Construction Industry: Opportunities & Challenges

On Learning Sets of Symmetric Elements

Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference

Structural priors for data-efficient language learning

An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software

FasterViT: Fast Vision Transformers with Hierarchical Attention

E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets

XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning

Block-Recurrent Transformers

VCT: A Video Compression Transformer

DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering

Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition

Preference-based Online Learning with Dueling Bandits: A Survey

Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN

On Network Design Spaces for Visual Recognition

Interpretable Distribution Features with Maximum Testing Power

AIDE: Fast and Communication Efficient Distributed Optimization

CKConv: Continuous Kernel Convolution For Sequential Data

Improving Generalization via Scalable Neighborhood Component Analysis

Projected Subgradient Methods for Learning Sparse Gaussians

From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI

Optimal approximate matrix product in terms of stable rank

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation

Loss of Plasticity in Continual Deep Reinforcement Learning

RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks

A Fragility Spectrum for Recursive Language-Model Training

Self-Distillation as Instance-Specific Label Smoothing

Decentralized Federated Learning: A Survey on Security and Privacy

A Survey on Uncertainty Quantification Methods for Deep Learning

Penetrative AI: Making LLMs Comprehend the Physical World