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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9,661 to 9,720 of 19,988

Rotational Equivariance in Machine Learning: A Comprehensive Tutorial
Peter Lippmann, Fred A. Hamprecht
cs.LGarXiv:2608.31045v12026
Fairness in Reinforcement Learning
Shahin Jabbari, Matthew Joseph, Michael Kearns +2
cs.LGarXiv:1611.03071v42016
Causal Machine Learning for Healthcare and Precision Medicine
Pedro Sanchez, Jeremy P. Voisey, Tian Xia +3
cs.LGcs.AIarXiv:2205.11402v22022
A predictive analytics approach for stroke prediction using machine learning and neural networks
Soumyabrata Dev, Hewei Wang, Chidozie Shamrock Nwosu +3
cs.LGarXiv:2203.00497v12022
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
Wei Niu, Jiexiong Guan, Yanzhi Wang +2
cs.LGcs.AIarXiv:2108.13342v22021
A Human-in-the-Loop Autonomous Agent for Industry Time Series Forecasting
Xiaoyu Tao, Mingyue Cheng, Ze Guo +4
cs.LGarXiv:2608.30976v12026
An Empirical Study of Rich Subgroup Fairness for Machine Learning
Michael Kearns, Seth Neel, Aaron Roth +1
cs.LGstat.MLarXiv:1808.08166v12018
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
Hejie Cui, Wei Dai, Yanqiao Zhu +7
q-bio.NCcs.LGcs.NEarXiv:2204.07054v32022
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Jayanta Mandi, James Kotary, Senne Berden +4
cs.LGcs.AImath.OCarXiv:2307.13565v42023
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Thomas Wang, Adam Roberts, Daniel Hesslow +5
cs.CLcs.LGstat.MLarXiv:2204.05832v12022
Reproducible macroscopic dynamics in a closed-loop human-AI learning system
Minlin Wu, Xu Fang, Yicheng Zhang +2
cs.LGnlin.AOarXiv:2608.30946v12026
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu +5
cs.IRcs.LGcs.PFarXiv:1711.07601v12017
NASA: Neural Articulated Shape Approximation
Boyang Deng, JP Lewis, Timothy Jeruzalski +4
cs.CVcs.GRcs.LGarXiv:1912.03207v52019
Yelp Dataset Challenge: Review Rating Prediction
Nabiha Asghar
cs.CLcs.IRcs.LGarXiv:1605.05362v12016
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang
cs.CVcs.LGcs.NEarXiv:1707.01220v22017
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
Bingbing Li, Santosh Pandey, Haowen Fang +7
cs.DCcs.LGarXiv:2007.08563v12020
Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods
Sebastian Buschjäger, Nuwan Gunasekara, Heitor Murilo Gomes
cs.LGcs.AIcs.PFarXiv:2608.30923v12026
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
Dylan Slack, Sophie Hilgard, Sameer Singh +1
cs.LGstat.MLarXiv:2008.05030v42020
Mixed-Privacy Forgetting in Deep Networks
Aditya Golatkar, Alessandro Achille, Avinash Ravichandran +2
cs.LGcs.AIcs.CVarXiv:2012.13431v22020
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.NEarXiv:1710.11622v32017
A Universal Context-Reuse Layer for Cross-Model KV Sharing
Yi Li, Dongming Jiang, Yi Zhao +1
cs.LGcs.AIarXiv:2608.30963v12026
Singular Curvature in ReLU Training:Differentiation and the Gradient-Flow Limit Need Not Commute
Xiaoyang Li, Runni Zhou
cs.LGarXiv:2608.30960v12026
Towards Deep Symbolic Reinforcement Learning
Marta Garnelo, Kai Arulkumaran, Murray Shanahan
cs.AIcs.LGarXiv:1609.05518v22016
Nonparametric Contextual Pricing and Inventory Learning under Censored Demand
Zean Han, Jing Liang, Ruihan Lin +2
cs.LGarXiv:2608.30944v12026
S$^2$-MLP: Spatial-Shift MLP Architecture for Vision
Tan Yu, Xu Li, Yunfeng Cai +2
cs.CVcs.AIcs.LGarXiv:2106.07477v22021
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Cynthia Rudin
stat.MLcs.LGarXiv:1811.10154v32018
Neural SDEs as Infinite-Dimensional GANs
Patrick Kidger, James Foster, Xuechen Li +2
cs.LGarXiv:2102.03657v22021
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
Mustafa Işık, Martin Rünz, Markos Georgopoulos +4
cs.CVcs.GRcs.LGarXiv:2305.06356v22023
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
Joseph Paul Cohen, Lan Dao, Paul Morrison +8
eess.IVcs.LGq-bio.QMarXiv:2005.11856v32020
Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations
Xiang Fu, Zhenghao Wu, Wujie Wang +4
physics.comp-phcs.LGphysics.chem-pharXiv:2210.07237v22022
Fine-Tuning Low-Bit Models with Gradient in Quantized Code Space
Shiguang Wu, Zhouchen Lin, Quanming Yao
cs.LGarXiv:2608.30908v12026
Explore First, Exploit Next: The True Shape of Regret in Bandit Problems
Aurélien Garivier, Pierre Ménard, Gilles Stoltz
math.STcs.LGarXiv:1602.07182v32016
Selection-Aware Stress Testing for Interactive Agents
Yang Xu, Chenang Li, Jiefu Zhang +3
cs.LGstat.APstat.MLarXiv:2608.30916v12026
Fully Supervised Speaker Diarization
Aonan Zhang, Quan Wang, Zhenyao Zhu +2
eess.AScs.LGstat.MLarXiv:1810.04719v72018
What Emerges and What Breaks in Self-Play Driving
Laur Sisask, Ardi Tampuu, Tambet Matiisen
cs.LGarXiv:2608.30819v12026
Reciprocity Separates Gradient Flow from Rotation in Conservative Physical Learning
Ruiwu Niu, Xiaowen Bi, Michaël Antonie van Wyk
cs.LGnlin.AOarXiv:2608.30778v12026
Progressive Identification of True Labels for Partial-Label Learning
Jiaqi Lv, Miao Xu, Lei Feng +3
cs.LGstat.MLarXiv:2002.08053v32020
Stealing Links from Graph Neural Networks
Xinlei He, Jinyuan Jia, Michael Backes +2
cs.CRcs.LGarXiv:2005.02131v22020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo, Minsu Cho, Jinwoo Shin
cs.CVcs.LGstat.MLarXiv:2002.10964v22020
Do VLMs Share Safety Neurons Across Modalities?
Jiaxuan Li, Jiahao Zhang, Duc Minh Vo +3
cs.LGarXiv:2608.30750v12026
TrainSDC: Characterizing and Mitigating Silent Data Corruption in Large Language Model Training
Zhipeng Xia, Haotian Xu, Siyu Yun +4
cs.LGarXiv:2608.30769v12026
End-to-End Referring Video Object Segmentation with Multimodal Transformers
Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin
cs.CVcs.CLcs.LGarXiv:2111.14821v22021
PRACTICE: From Experience to Expertise in Self-Evolving Embodied Agents
Ziyi Bai, Siqi Li, Tinglei Huang +1
cs.LGarXiv:2608.30760v12026
Can Physics-Informed Neural Networks beat the Finite Element Method?
Tamara G. Grossmann, Urszula Julia Komorowska, Jonas Latz +1
math.NAcs.LGarXiv:2302.04107v12023
Transformer-based Spatial-Temporal Feature Learning for EEG Decoding
Yonghao Song, Xueyu Jia, Lie Yang +1
eess.SPcs.AIcs.LGarXiv:2106.11170v12021
Landmark Attention: Random-Access Infinite Context Length for Transformers
Amirkeivan Mohtashami, Martin Jaggi
cs.CLcs.LGarXiv:2305.16300v22023
HelpSteer2: Open-source dataset for training top-performing reward models
Zhilin Wang, Yi Dong, Olivier Delalleau +6
cs.CLcs.AIcs.LGarXiv:2406.08673v12024
Deploying DeepSeek 175B Locally on a Single Consumer-Grade RTX 4060 Laptop with 32GB RAM for 200k-Scale Protein-Ligand Virtual Screening
Rui Xiao, Yili Xu
cs.LGarXiv:2608.30877v12026
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Madelon Hulsebos, Kevin Hu, Michiel Bakker +5
cs.LGcs.DBcs.IRarXiv:1905.10688v12019
Geometric Attractor Monitoring: A Robust and Frugal Framework for Multi-modal Industrial Robotic Cycles
Martin Bonsergent-Brachet, Jesse Read, Dany Abboud
cs.LGarXiv:2608.30804v12026
TartanVO: A Generalizable Learning-based VO
Wenshan Wang, Yaoyu Hu, Sebastian Scherer
cs.CVcs.LGcs.ROarXiv:2011.00359v12020
T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler
Yuanqiang Yu, Tianpei Yang, Yongliang Lv +2
cs.LGarXiv:2608.30765v12026
Functional Degeneracy in Neural Networks: Measurement and Pruning
Maria Matveev, Pascal Esser, Ayush Bharadwaj +2
cs.LGarXiv:2608.30741v12026
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos, Panagiotis Tigas, Rowan McAllister +3
cs.LGcs.ROstat.MLarXiv:2006.14911v22020
TDDM-Melatt: A Decoupled Memory and Diffusion Framework for Generalizable Encrypted Traffic Classification
Ze Chen, Qiming Yu, Zijia Song +2
cs.LGarXiv:2608.30745v12026
Uncertainty in Neural Networks: Approximately Bayesian Ensembling
Tim Pearce, Felix Leibfried, Alexandra Brintrup +2
stat.MLcs.LGarXiv:1810.05546v52018
Kolmogorov--Arnold against bounded translations
Sviatoslav V. Dzhenzher
cs.LGmath.FAarXiv:2608.30710v12026
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning
Grant Duffy, Paul P Cheng, Neal Yuan +15
eess.IVcs.CVcs.LGarXiv:2106.12511v12021
Learning Materials Properties from Scarce Labels and Unlabeled Crystals
Wentao Li, Yizhe Chen, Jiangjie Qiu +3
cs.LGcs.AIarXiv:2608.30682v12026
Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages
Qusai Khraisha, Sophie Put, Johanna Kappenberg +2
cs.CLcs.AIcs.LGarXiv:2310.17526v22023

Machine Learning

Rotational Equivariance in Machine Learning: A Comprehensive Tutorial

Fairness in Reinforcement Learning

Causal Machine Learning for Healthcare and Precision Medicine

A predictive analytics approach for stroke prediction using machine learning and neural networks

DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion

A Human-in-the-Loop Autonomous Agent for Industry Time Series Forecasting

An Empirical Study of Rich Subgroup Fairness for Machine Learning

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Reproducible macroscopic dynamics in a closed-loop human-AI learning system

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time

NASA: Neural Articulated Shape Approximation

Yelp Dataset Challenge: Review Rating Prediction

DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer

FTRANS: Energy-Efficient Acceleration of Transformers using FPGA

Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods

Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

Mixed-Privacy Forgetting in Deep Networks

Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm

A Universal Context-Reuse Layer for Cross-Model KV Sharing

Singular Curvature in ReLU Training:Differentiation and the Gradient-Flow Limit Need Not Commute

Towards Deep Symbolic Reinforcement Learning

Nonparametric Contextual Pricing and Inventory Learning under Censored Demand

S$^2$-MLP: Spatial-Shift MLP Architecture for Vision

Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Neural SDEs as Infinite-Dimensional GANs

HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion

Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations

Fine-Tuning Low-Bit Models with Gradient in Quantized Code Space

Explore First, Exploit Next: The True Shape of Regret in Bandit Problems

Selection-Aware Stress Testing for Interactive Agents

Fully Supervised Speaker Diarization

What Emerges and What Breaks in Self-Play Driving

Reciprocity Separates Gradient Flow from Rotation in Conservative Physical Learning

Progressive Identification of True Labels for Partial-Label Learning

Stealing Links from Graph Neural Networks

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs

Do VLMs Share Safety Neurons Across Modalities?

TrainSDC: Characterizing and Mitigating Silent Data Corruption in Large Language Model Training

End-to-End Referring Video Object Segmentation with Multimodal Transformers

PRACTICE: From Experience to Expertise in Self-Evolving Embodied Agents

Can Physics-Informed Neural Networks beat the Finite Element Method?

Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Landmark Attention: Random-Access Infinite Context Length for Transformers

HelpSteer2: Open-source dataset for training top-performing reward models

Deploying DeepSeek 175B Locally on a Single Consumer-Grade RTX 4060 Laptop with 32GB RAM for 200k-Scale Protein-Ligand Virtual Screening

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

Geometric Attractor Monitoring: A Robust and Frugal Framework for Multi-modal Industrial Robotic Cycles

TartanVO: A Generalizable Learning-based VO

T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler

Functional Degeneracy in Neural Networks: Measurement and Pruning

Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?

TDDM-Melatt: A Decoupled Memory and Diffusion Framework for Generalizable Encrypted Traffic Classification

Uncertainty in Neural Networks: Approximately Bayesian Ensembling

Kolmogorov--Arnold against bounded translations

High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning

Learning Materials Properties from Scarce Labels and Unlabeled Crystals

Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages