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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32,461 to 32,520 of 32,672

Open-Vocabulary Object Detection Using Captions
Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu +1
cs.CVcs.AIcs.LGarXiv:2011.10678v22020
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock, Theodore Lim, J. M. Ritchie +1
cs.CVcs.HCcs.LGarXiv:1608.04236v22016
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Byeongho Heo, Minsik Lee, Sangdoo Yun +1
cs.LGcs.CVstat.MLarXiv:1811.03233v22018
Fairness-Aware Mixture-of-Experts via Subgroup Reweighting and Gate Regularization
Sunhee Hwang
cs.LGcs.AIarXiv:2608.22820v12026
Lagrangian Neural Networks
Miles Cranmer, Sam Greydanus, Stephan Hoyer +3
cs.LGmath.DSphysics.comp-pharXiv:2003.04630v22020
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample, Devendra Singh Chaplot
cs.AIcs.LGarXiv:1609.05521v22016
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz +1
cs.NEcs.AIcs.LGarXiv:1603.06212v12016
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
Ammar Haydari, Yasin Yilmaz
cs.LGcs.MAeess.SParXiv:2005.00935v12020
A Hybrid Two-Stage Machine Learning Pipeline for Fault Detection and Classification in Power Transmission Systems
Sahil Manikshete, Atharva Gujarathi, Thanh Long Vu +2
eess.SYcs.LGarXiv:2608.23726v12026
Deep Learning is Robust to Massive Label Noise
David Rolnick, Andreas Veit, Serge Belongie +1
cs.LGcs.AIcs.CVarXiv:1705.10694v32017
Unbiased Teacher for Semi-Supervised Object Detection
Yen-Cheng Liu, Chih-Yao Ma, Zijian He +6
cs.CVcs.LGarXiv:2102.09480v12021
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli +3
cs.CLcs.LGarXiv:2401.18059v12024
EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning
Mohammadreza Iman, John A. Miller, Khaled Rasheed +2
cs.LGcs.CVarXiv:2205.10356v22022
Language Models are Multilingual Chain-of-Thought Reasoners
Freda Shi, Mirac Suzgun, Markus Freitag +9
cs.CLcs.AIcs.LGarXiv:2210.03057v12022
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach
Jintao Ke, Hongyu Zheng, Hai Yang +2
cs.LGarXiv:1706.06279v12017
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Jonathan Uesato, Brendan O'Donoghue, Aaron van den Oord +1
cs.LGcs.CRstat.MLarXiv:1802.05666v22018
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik, Eduard Hovy, Zachary C. Lipton
cs.CLcs.AIcs.LGarXiv:1909.12434v22019
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender +2
cs.LGarXiv:2012.05345v12020
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks
Hoo-Chang Shin, Neil A Tenenholtz, Jameson K Rogers +5
cs.CVcs.LGstat.MLarXiv:1807.10225v22018
SeisMamba: Low-Latency Single-Station Seismic Magnitude Estimation for Spatially Distributed Earthquake Early Warning
Quenton Yeo, Zhaoge Bi, Linghan Huang +3
cs.LGarXiv:2608.24561v12026
MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
Xabier de Zuazo, Vincenzo Verbeni, Eva Navas +3
cs.LGarXiv:2602.18253v12026
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
Sosuke Kobayashi
cs.CLcs.LGarXiv:1805.06201v12018
Data Leakage Inflates Generalizability of Power Outage Prediction Models
Yamil Essus, Ranga Raju Vatsavai, Benjamin Rachunok
cs.LGarXiv:2608.24665v12026
Spatial Competence Benchmark
Jash Vira, Ashley Harris
cs.AIcs.LGarXiv:2604.09594v12026
MUSE: A Run-Centric Platform for Multimodal Unified Safety Evaluation of Large Language Models
Zhongxi Wang, Yueqian Lin, Jingyang Zhang +2
cs.LGcs.CLcs.CVarXiv:2603.02482v12026
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Devis Tuia, Benjamin Kellenberger, Sara Beery +15
cs.LGcs.CVarXiv:2110.12951v12021
ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evaluation
Kadir-Kaan Özer, René Ebeling, Markus Enzweiler
cs.LGcs.AIarXiv:2603.10926v22026
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use
Sana Tonekaboni, Shalmali Joshi, Melissa D McCradden +1
cs.LGstat.MLarXiv:1905.05134v22019
Machine Learning in IoT Security: Current Solutions and Future Challenges
Fatima Hussain, Rasheed Hussain, Syed Ali Hassan +1
cs.CRcs.LGstat.MLarXiv:1904.05735v12019
Scalable Prompt Routing via Fine-Grained Latent Task Discovery
Yunyi Zhang, Soji Adeshina, Sheng Guan +5
cs.CLcs.AIcs.LGarXiv:2603.19415v22026
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu, Yilin Shen, Hongxia Jin +1
cs.CVcs.LGeess.IVarXiv:2002.11297v22020
AI Generalisation Gap In Comorbid Sleep Disorder Staging
Saswata Bose, Suvadeep Maiti, Shivam Kumar Sharma +4
cs.LGcs.AIarXiv:2603.23582v22026
Preference Optimization for Non-Verbal Vocalization Synthesis
Haoyang Li, Chenglin Xu, Junchuan Zhao +4
eess.AScs.AIcs.LGarXiv:2608.24163v12026
Mobile-Former: Bridging MobileNet and Transformer
Yinpeng Chen, Xiyang Dai, Dongdong Chen +4
cs.CVcs.LGarXiv:2108.05895v32021
Malware Detection by Eating a Whole EXE
Edward Raff, Jon Barker, Jared Sylvester +3
stat.MLcs.CRcs.LGarXiv:1710.09435v12017
Learning by Cheating
Dian Chen, Brady Zhou, Vladlen Koltun +1
cs.ROcs.AIcs.CVarXiv:1912.12294v12019
Searching for Activation Functions
Prajit Ramachandran, Barret Zoph, Quoc V. Le
cs.NEcs.CVcs.LGarXiv:1710.05941v22017
Stress Testing Unlearning Algorithms
Noam Diamant, Ethan Fetaya, Neta Glazer
cs.LGarXiv:2608.22527v12026
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
Sheng Chen, Yang Liu, Xiang Gao +1
cs.CVcs.LGarXiv:1804.07573v42018
What makes ImageNet good for transfer learning?
Minyoung Huh, Pulkit Agrawal, Alexei A. Efros
cs.CVcs.AIcs.LGarXiv:1608.08614v22016
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Timothy Yang, Galen Andrew, Hubert Eichner +5
cs.LGstat.MLarXiv:1812.02903v12018
Segment Length Matters: A Study of Segment Lengths on Audio Fingerprinting Performance
Ziling Gong, Yunyan Ouyang, Iram Kamdar +5
cs.SDcs.AIcs.IRarXiv:2601.17690v12026
Dreaming in Code for Curriculum Learning in Open-Ended Worlds
Konstantinos Mitsides, Maxence Faldor, Antoine Cully
cs.LGcs.AIcs.CLarXiv:2602.08194v12026
Deep Evidential Regression
Alexander Amini, Wilko Schwarting, Ava Soleimany +1
cs.LGcs.NEstat.MLarXiv:1910.02600v22019
How Architecture and Training Affect TPC Representations Across Experiments
Tyler Wheeler, Michelle P. Kuchera, Raghuram Ramanujan +11
cs.LGcs.CVnucl-exarXiv:2608.21756v12026
AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting
Mohammadreza Ghaffarzadeh-Esfahani, Yousof Gheisari
q-bio.QMcs.AIcs.CLarXiv:2602.18915v12026
Deep Learning for Computational Chemistry
Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu
stat.MLcs.AIcs.CEarXiv:1701.04503v12017
VoXtream2: Full-stream TTS with dynamic speaking rate control
Nikita Torgashov, Gustav Eje Henter, Gabriel Skantze
eess.AScs.CLcs.HCarXiv:2603.13518v12026
Mish: A Self Regularized Non-Monotonic Activation Function
Diganta Misra
cs.LGcs.CVcs.NEarXiv:1908.08681v32019
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
Mumuksh Tayal, Manan Tayal, Ravi Prakash
cs.LGcs.AIarXiv:2603.15136v22026
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton
cs.NEcs.LGarXiv:1504.00941v22015
PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling
Kavana Venkatesh, Yinhan He, Jundong Li +1
cs.MAcs.LGarXiv:2602.06030v22026
When More Modalities Hurt: Modality Dropout for Heavy-Duty Vehicle Engine Diagnostics
Adeel Zafar, Slawomir Nowaczyk, Hamid Sarmadi +1
cs.LGarXiv:2608.23161v12026
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter
cs.CVcs.LGarXiv:1707.08819v32017
Picking Winning Tickets Before Training by Preserving Gradient Flow
Chaoqi Wang, Guodong Zhang, Roger Grosse
cs.LGcs.CVstat.MLarXiv:2002.07376v22020
Quantifying Generalization in Reinforcement Learning
Karl Cobbe, Oleg Klimov, Chris Hesse +2
cs.LGstat.MLarXiv:1812.02341v32018
QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation
Ali Slim, Haydar Hamieh, Jawad Kotaich +5
cs.LGcs.AIcs.PLarXiv:2604.08570v22026
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang, Han Zhang, Jarred Barber +9
cs.CVcs.AIcs.LGarXiv:2301.00704v12023
A Survey of Human-in-the-loop for Machine Learning
Xingjiao Wu, Luwei Xiao, Yixuan Sun +3
cs.LGarXiv:2108.00941v32021
Attention is All You Need in Speech Separation
Cem Subakan, Mirco Ravanelli, Samuele Cornell +2
eess.AScs.LGcs.SDarXiv:2010.13154v22020

Machine Learning

Open-Vocabulary Object Detection Using Captions

Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

Fairness-Aware Mixture-of-Experts via Subgroup Reweighting and Gate Regularization

Lagrangian Neural Networks

Playing FPS Games with Deep Reinforcement Learning

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey

A Hybrid Two-Stage Machine Learning Pipeline for Fault Detection and Classification in Power Transmission Systems

Deep Learning is Robust to Massive Label Noise

Unbiased Teacher for Semi-Supervised Object Detection

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning

Language Models are Multilingual Chain-of-Thought Reasoners

Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach

Adversarial Risk and the Dangers of Evaluating Against Weak Attacks

Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

Data and its (dis)contents: A survey of dataset development and use in machine learning research

Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

SeisMamba: Low-Latency Single-Station Seismic Magnitude Estimation for Spatially Distributed Earthquake Early Warning

MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data

Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations

Data Leakage Inflates Generalizability of Power Outage Prediction Models

Spatial Competence Benchmark

MUSE: A Run-Centric Platform for Multimodal Unified Safety Evaluation of Large Language Models

Seeing biodiversity: perspectives in machine learning for wildlife conservation

ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evaluation

What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use

Machine Learning in IoT Security: Current Solutions and Future Challenges

Scalable Prompt Routing via Fine-Grained Latent Task Discovery

Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

AI Generalisation Gap In Comorbid Sleep Disorder Staging

Preference Optimization for Non-Verbal Vocalization Synthesis

Mobile-Former: Bridging MobileNet and Transformer

Malware Detection by Eating a Whole EXE

Learning by Cheating

Searching for Activation Functions

Stress Testing Unlearning Algorithms

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

What makes ImageNet good for transfer learning?

Applied Federated Learning: Improving Google Keyboard Query Suggestions

Segment Length Matters: A Study of Segment Lengths on Audio Fingerprinting Performance

Dreaming in Code for Curriculum Learning in Open-Ended Worlds

Deep Evidential Regression

How Architecture and Training Affect TPC Representations Across Experiments

AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting

Deep Learning for Computational Chemistry

VoXtream2: Full-stream TTS with dynamic speaking rate control

Mish: A Self Regularized Non-Monotonic Activation Function

Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling

When More Modalities Hurt: Modality Dropout for Heavy-Duty Vehicle Engine Diagnostics

A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

Picking Winning Tickets Before Training by Preserving Gradient Flow

Quantifying Generalization in Reinforcement Learning

QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation

Muse: Text-To-Image Generation via Masked Generative Transformers

A Survey of Human-in-the-loop for Machine Learning

Attention is All You Need in Speech Separation