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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11,101 to 11,160 of 20,063

Understanding Alternating Minimization for Matrix Completion
Moritz Hardt
cs.LGcs.DSstat.MLarXiv:1312.0925v42013
Language Model Tokenizers Introduce Unfairness Between Languages
Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr +1
cs.CLcs.LGarXiv:2305.15425v22023
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Jiangtao Xie, Fei Long, Jiaming Lv +2
cs.CVcs.LGstat.MLarXiv:2204.04567v12022
PHiSeg: Capturing Uncertainty in Medical Image Segmentation
Christian F. Baumgartner, Kerem C. Tezcan, Krishna Chaitanya +6
eess.IVcs.LGstat.MLarXiv:1906.04045v22019
BanglaMed-QA: A Question Answering System for Healthcare Support in Bangla
Rowzatul Zannat, Abdullah Al Shafi, K. M. Azharul Hasan +1
cs.CLcs.AIcs.LGarXiv:2608.28329v12026
A Survey on Data Selection for Language Models
Alon Albalak, Yanai Elazar, Sang Michael Xie +11
cs.CLcs.LGarXiv:2402.16827v32024
Knowledge Tracing with Sequential Key-Value Memory Networks
Ghodai Abdelrahman, Qing Wang
cs.LGcs.AIcs.IRarXiv:1910.13197v12019
DeepReach: A Deep Learning Approach to High-Dimensional Reachability
Somil Bansal, Claire Tomlin
cs.ROcs.AIcs.LGarXiv:2011.02082v12020
Tensor Completion Algorithms in Big Data Analytics
Qingquan Song, Hancheng Ge, James Caverlee +1
stat.MLcs.AIcs.LGarXiv:1711.10105v22017
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation
Marco Ancona, Cengiz Öztireli, Markus Gross
cs.LGstat.MLarXiv:1903.10992v42019
DeepNet: Scaling Transformers to 1,000 Layers
Hongyu Wang, Shuming Ma, Li Dong +3
cs.CLcs.LGarXiv:2203.00555v12022
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Yandong Li, Lijun Li, Liqiang Wang +2
cs.LGcs.CRcs.CVarXiv:1905.00441v32019
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Ilya Shenbin, Anton Alekseev, Elena Tutubalina +2
cs.IRcs.LGarXiv:1912.11160v12019
DKM: Dense Kernelized Feature Matching for Geometry Estimation
Johan Edstedt, Ioannis Athanasiadis, Mårten Wadenbäck +1
cs.CVcs.LGarXiv:2202.00667v32022
Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss
Niccolò Ajroldi, Diana Alexandra Onutu, Haider Al-Tahan +4
cs.LGcs.AIarXiv:2608.28308v12026
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization
Eva Sharma, Chen Li, Lu Wang
cs.CLcs.LGarXiv:1906.03741v12019
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan +5
eess.IVcs.CVcs.LGarXiv:1911.02521v12019
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
Tuo Zhang, Lei Gao, Chaoyang He +3
cs.LGarXiv:2111.07494v42021
Learning from All Vehicles
Dian Chen, Philipp Krähenbühl
cs.ROcs.CVcs.LGarXiv:2203.11934v32022
RLHF Workflow: From Reward Modeling to Online RLHF
Hanze Dong, Wei Xiong, Bo Pang +7
cs.LGcs.AIcs.CLarXiv:2405.07863v32024
Deep Deterministic Uncertainty: A Simple Baseline
Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort +2
cs.LGstat.MLarXiv:2102.11582v32021
VISTA: Verifier-Informed Student-to-Teacher Adaptation for On-Policy Self-Distillation
Zewen Ding, Zezhong Wu, Zhou Tao +5
cs.LGcs.AIcs.CLarXiv:2608.28306v12026
Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily, Vitaly Feldman, Kunal Talwar +1
cs.LGcs.CRcs.DSarXiv:1908.09970v12019
An Introductory Survey on Attention Mechanisms in NLP Problems
Dichao Hu
cs.CLcs.LGstat.MLarXiv:1811.05544v12018
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
Boyi Liu, Lujia Wang, Ming Liu
cs.ROcs.AIcs.DCarXiv:1901.06455v32019
Multi-objective Evolutionary Federated Learning
Hangyu Zhu, Yaochu Jin
cs.LGcs.AIstat.MLarXiv:1812.07478v22018
Conformal Risk-Averse Decision Making with Optimized Certainty Equivalent Risk Control
Amirmohammad Farzaneh, Osvaldo Simeone
stat.MLcs.AIcs.ITarXiv:2608.28179v12026
Leveraging BERT for Extractive Text Summarization on Lectures
Derek Miller
cs.CLcs.LGcs.SDarXiv:1906.04165v12019
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
Lingjiao Chen, Hongyi Wang, Zachary Charles +1
stat.MLcs.DCcs.ITarXiv:1803.09877v42018
OneLLM: One Framework to Align All Modalities with Language
Jiaming Han, Kaixiong Gong, Yiyuan Zhang +6
cs.CVcs.AIcs.CLarXiv:2312.03700v22023
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha
cs.LGarXiv:2012.10658v22020
Adversarially Robust Distillation
Micah Goldblum, Liam Fowl, Soheil Feizi +1
cs.LGcs.CVstat.MLarXiv:1905.09747v22019
On the Universality of Invariant Networks
Haggai Maron, Ethan Fetaya, Nimrod Segol +1
cs.LGstat.MLarXiv:1901.09342v42019
VICT: Verifier-Instrumented Credit Tracing for Long-Horizon LLM Agent Reinforcement Learning
Pengcheng Li, Zhengyang Zhang, Dongxu Zhang +2
cs.LGcs.AIarXiv:2608.28128v12026
Performative Privacy: When Differential Privacy Maximizes Utility
Uddalak Mukherjee, Edwige Cyffers, Yann Chevaleyre
cs.LGcs.AIstat.MLarXiv:2608.28198v12026
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings
Madhurananda Pahar, Marisa Klopper, Robin Warren +1
cs.SDcs.LGeess.ASarXiv:2012.01926v22020
Beyond Flat Netlist: Hierarchical Graph Representation Learning for Scalable Analysis of Sequential Circuits
Jingyi Zhou, Zhengyuan Shi, Jiaying Zhu +2
cs.LGcs.AIcs.ARarXiv:2608.28188v12026
Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong, David Forsyth
cs.CVcs.LGarXiv:1911.07023v32019
Improve Unsupervised Domain Adaptation with Mixup Training
Shen Yan, Huan Song, Nanxiang Li +2
stat.MLcs.CVcs.LGarXiv:2001.00677v12020
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming
Mahyar Fazlyab, Manfred Morari, George J. Pappas
math.OCcs.LGarXiv:1903.01287v32019
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving
Wenzhao Zheng, Weiliang Chen, Yuanhui Huang +3
cs.CVcs.AIcs.LGarXiv:2311.16038v12023
The Approximation Rank of Softmax Attention: Sharp Geometric Laws and Robust Interaction Dimension
Yuhe Sui, Jianing Zhang
cs.LGcs.AIarXiv:2608.28150v12026
Understanding Self-Training for Gradual Domain Adaptation
Ananya Kumar, Tengyu Ma, Percy Liang
cs.LGstat.MLarXiv:2002.11361v12020
Functional Variational Bayesian Neural Networks
Shengyang Sun, Guodong Zhang, Jiaxin Shi +1
cs.LGstat.MLarXiv:1903.05779v12019
An Exponential Learning Rate Schedule for Deep Learning
Zhiyuan Li, Sanjeev Arora
cs.LGstat.MLarXiv:1910.07454v32019
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
Hao Chen, Ran Tao, Yue Fan +6
cs.LGcs.AIcs.CVarXiv:2301.10921v22023
Cross-Batch Memory for Embedding Learning
Xun Wang, Haozhi Zhang, Weilin Huang +1
cs.LGcs.CVarXiv:1912.06798v32019
CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs
Naren Akash, Arihanth Tadanki, Jayanthi Sivaswamy
eess.IVcs.AIcs.CVarXiv:2608.28137v12026
Style Aligned Image Generation via Shared Attention
Amir Hertz, Andrey Voynov, Shlomi Fruchter +1
cs.CVcs.GRcs.LGarXiv:2312.02133v22023
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu, Edgar Dobriban, Susan B. Davidson
cs.LGstat.MLarXiv:2006.14755v22020
Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
Bilel Benjdira, Taha Khursheed, Anis Koubaa +2
cs.ROcs.CVcs.LGarXiv:1812.10968v12018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Edward Choi, Cao Xiao, Walter F. Stewart +1
cs.LGcs.CLstat.MLarXiv:1810.09593v12018
Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning
Tiancheng Zhao, Maxine Eskenazi
cs.AIcs.CLcs.LGarXiv:1606.02560v22016
Community detection in node-attributed social networks: a survey
Petr Chunaev
cs.SIcs.LGcs.PFarXiv:1912.09816v22019
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab, Rehab Duwairi
eess.IVcs.CVcs.LGarXiv:2109.08685v32021
Distilling Reasoning Capabilities into Smaller Language Models
Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan
cs.LGcs.CLarXiv:2212.00193v22022
Re-imagining Algorithmic Fairness in India and Beyond
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson +2
cs.CYcs.AIcs.CLarXiv:2101.09995v22021
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok +1
cs.LGcs.CVarXiv:2209.09858v22022
Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations
Naren Akash, Neeraja Ramanan
eess.IVcs.AIcs.CVarXiv:2608.28092v12026
Deep Learning for Community Detection: Progress, Challenges and Opportunities
Fanzhen Liu, Shan Xue, Jia Wu +6
cs.SIcs.AIcs.LGarXiv:2005.08225v22020

Machine Learning

Understanding Alternating Minimization for Matrix Completion

Language Model Tokenizers Introduce Unfairness Between Languages

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

PHiSeg: Capturing Uncertainty in Medical Image Segmentation

BanglaMed-QA: A Question Answering System for Healthcare Support in Bangla

A Survey on Data Selection for Language Models

Knowledge Tracing with Sequential Key-Value Memory Networks

DeepReach: A Deep Learning Approach to High-Dimensional Reachability

Tensor Completion Algorithms in Big Data Analytics

Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation

DeepNet: Scaling Transformers to 1,000 Layers

NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks

RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback

DKM: Dense Kernelized Feature Matching for Geometry Estimation

Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss

BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization

Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications

Federated Learning for Internet of Things: Applications, Challenges, and Opportunities

Learning from All Vehicles

RLHF Workflow: From Reward Modeling to Online RLHF

Deep Deterministic Uncertainty: A Simple Baseline

VISTA: Verifier-Informed Student-to-Teacher Adaptation for On-Policy Self-Distillation

Private Stochastic Convex Optimization with Optimal Rates

An Introductory Survey on Attention Mechanisms in NLP Problems

Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

Multi-objective Evolutionary Federated Learning

Conformal Risk-Averse Decision Making with Optimized Certainty Equivalent Risk Control

Leveraging BERT for Extractive Text Summarization on Lectures

DRACO: Byzantine-resilient Distributed Training via Redundant Gradients

OneLLM: One Framework to Align All Modalities with Language

Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

Adversarially Robust Distillation

On the Universality of Invariant Networks

VICT: Verifier-Instrumented Credit Tracing for Long-Horizon LLM Agent Reinforcement Learning

Performative Privacy: When Differential Privacy Maximizes Utility

COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings

Beyond Flat Netlist: Hierarchical Graph Representation Learning for Scalable Analysis of Sequential Circuits

Effectively Unbiased FID and Inception Score and where to find them

Improve Unsupervised Domain Adaptation with Mixup Training

Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming

OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

The Approximation Rank of Softmax Attention: Sharp Geometric Laws and Robust Interaction Dimension

Understanding Self-Training for Gradual Domain Adaptation

Functional Variational Bayesian Neural Networks

An Exponential Learning Rate Schedule for Deep Learning

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Cross-Batch Memory for Embedding Learning

CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

Style Aligned Image Generation via Shared Attention

DeltaGrad: Rapid retraining of machine learning models

Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare

Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning

Community detection in node-attributed social networks: a survey

Self-supervised learning methods and applications in medical imaging analysis: A survey

Distilling Reasoning Capabilities into Smaller Language Models

Re-imagining Algorithmic Fairness in India and Beyond

Extremely Simple Activation Shaping for Out-of-Distribution Detection

Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations

Deep Learning for Community Detection: Progress, Challenges and Opportunities