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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13,561 to 13,620 of 20,219

Meta-Learning Representations for Continual Learning
Khurram Javed, Martha White
cs.LGcs.AIstat.MLarXiv:1905.12588v22019
Federated Learning for Malware Detection in IoT Devices
Valerian Rey, Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán +2
cs.CRcs.LGarXiv:2104.09994v32021
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
cs.LGcs.AIarXiv:1908.08342v22019
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses
Ryan Lowe, Michael Noseworthy, Iulian V. Serban +3
cs.CLcs.AIcs.LGarXiv:1708.07149v22017
On Evaluating Adversarial Robustness of Large Vision-Language Models
Yunqing Zhao, Tianyu Pang, Chao Du +4
cs.CVcs.CLcs.CRarXiv:2305.16934v22023
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Babak Saleh, Ahmed Elgammal
cs.CVcs.IRcs.LGarXiv:1505.00855v12015
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang, Lu Liu, Min Xu
cs.LGcs.CVarXiv:2101.06395v32021
District-Level Food Environment Indicators and Social Vulnerability in São Paulo
Pedro Lemes Sixel Lobo, Eric Tokuda, Kuruvilla Joseph Abraham +4
physics.soc-phcs.LGstat.AParXiv:2608.26299v12026
Least Ambiguous Set-Valued Classifiers with Bounded Error Levels
Mauricio Sadinle, Jing Lei, Larry Wasserman
stat.MEcs.LGstat.MLarXiv:1609.00451v22016
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla, Mayank Singh, Abhishek Sinha +3
cs.LGcs.CVstat.MLarXiv:1907.12087v42019
Generating 3D Adversarial Point Clouds
Chong Xiang, Charles R. Qi, Bo Li
cs.CRcs.CVcs.LGarXiv:1809.07016v42018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Tianhe Yu, Chelsea Finn, Annie Xie +4
cs.LGcs.AIcs.CVarXiv:1802.01557v12018
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint
Wei Xiong, Hanze Dong, Chenlu Ye +5
cs.LGcs.AIstat.MLarXiv:2312.11456v42023
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas, Stephane Aroca-Ouellette, Frank Rudzicz
cs.LGcs.NEq-bio.QMarXiv:2101.12037v12021
Interpreting Latent Protein Language Model Features with Geometric Annotations
Siddharth Setlur, Djordje Mihajlovic, Darrick Lee
q-bio.QMcs.LGarXiv:2608.26419v12026
Applying Deep Learning to Answer Selection: A Study and An Open Task
Minwei Feng, Bing Xiang, Michael R. Glass +2
cs.CLcs.LGarXiv:1508.01585v22015
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh, Demjan Grubic, Jerry Li +2
cs.LGcs.DSarXiv:1610.02132v42016
What Makes Multi-modal Learning Better than Single (Provably)
Yu Huang, Chenzhuang Du, Zihui Xue +3
cs.LGcs.AIarXiv:2106.04538v22021
Analysis of classifiers' robustness to adversarial perturbations
Alhussein Fawzi, Omar Fawzi, Pascal Frossard
cs.LGcs.CVstat.MLarXiv:1502.02590v42015
NeoTriFuse: Reliability-Aware Multimodal Fusion under Missingness Heterogeneity for Neonatal Mortality Risk Prediction
Jiyuan Tian, Qincheng Shen, Ye Lin +2
cs.LGarXiv:2608.26436v12026
A Survey on Mixture of Experts in Large Language Models
Weilin Cai, Juyong Jiang, Fan Wang +3
cs.LGcs.CLarXiv:2407.06204v32024
Algebraic Multigrid Acceleration for Efficient Label Spreading
Antonia van Betteray, Jonathan Klees, Miriam Schäfers +1
cs.LGarXiv:2608.26309v12026
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang, Jianan Wang, Ronald Clark +4
cs.CVcs.AIcs.LGarXiv:1906.01140v22019
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg +9
cs.ROcs.AIcs.LGarXiv:1811.02790v12018
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning
Bolin Gao, Lacra Pavel
math.OCcs.LGarXiv:1704.00805v42017
Multi-Dataset Inverse Problem Solving with Distributed Generative AI
Daniel Lersch, Steven Goldenberg, Johann Rudi +5
cs.DCcs.LGarXiv:2608.26283v12026
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Jesse Vig, Ali Madani, Lav R. Varshney +3
cs.CLcs.LGq-bio.BMarXiv:2006.15222v32020
Supersparse Linear Integer Models for Optimized Medical Scoring Systems
Berk Ustun, Cynthia Rudin
stat.MLcs.DMcs.LGarXiv:1502.04269v32015
Pruning Binarized Neural Networks: A Dedicated Framework and Globally Weighted Algorithms
Roan Rubiales, Jean Pierre David
cs.LGarXiv:2608.26233v12026
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
Xiangyu Zhao, Liang Zhang, Zhuoye Ding +3
cs.IRcs.LGstat.MLarXiv:1802.06501v32018
Vowel Signs Are Not Letters: A Pre-tokenization Ceiling on Multilingual Tokenizer Fertility
Sajal Regmi, Siddhartha Pudasaini, Chetan Phakami Pun
cs.CLcs.LGarXiv:2608.26449v12026
Stochastic Optimization with Importance Sampling
Peilin Zhao, Tong Zhang
stat.MLcs.LGarXiv:1401.2753v22014
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta, Russell Mendonca, YuXuan Liu +2
cs.LGcs.AIcs.NEarXiv:1802.07245v12018
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou, Ziqing Ma, Xue wang +5
cs.LGstat.MLarXiv:2205.08897v42022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk, Octavian-Eugen Ganea, Lagnajit Pattanaik +2
q-bio.BMcs.LGarXiv:2202.05146v42022
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang, Scott Sievert, Zachary Charles +3
stat.MLcs.DCcs.LGarXiv:1806.04090v32018
Transfer Learning with Dynamic Adversarial Adaptation Network
Chaohui Yu, Jindong Wang, Yiqiang Chen +1
cs.LGstat.MLarXiv:1909.08184v12019
Hierarchical Federated Learning Across Heterogeneous Cellular Networks
Mehdi Salehi Heydar Abad, Emre Ozfatura, Deniz Gunduz +1
cs.LGcs.DCcs.ITarXiv:1909.02362v12019
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
Chuang Gan, Jeremy Schwartz, Seth Alter +21
cs.CVcs.GRcs.LGarXiv:2007.04954v22020
Exploring Randomly Wired Neural Networks for Image Recognition
Saining Xie, Alexander Kirillov, Ross Girshick +1
cs.CVcs.LGarXiv:1904.01569v22019
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Zhewei Yao, Amir Gholami, Sheng Shen +3
cs.LGmath.NAstat.MLarXiv:2006.00719v32020
Sorting out Lipschitz function approximation
Cem Anil, James Lucas, Roger Grosse
cs.LGstat.MLarXiv:1811.05381v22018
Recommender Systems with Generative Retrieval
Shashank Rajput, Nikhil Mehta, Anima Singh +10
cs.IRcs.LGarXiv:2305.05065v32023
A Review of Graph Neural Networks and Their Applications in Power Systems
Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai +2
cs.LGcs.AIeess.SYarXiv:2101.10025v22021
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Di Jin, Zhizhi Yu, Pengfei Jiao +5
cs.SIcs.AIcs.LGarXiv:2101.01669v32021
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
Cheng Ju, Aurélien Bibaut, Mark J. van der Laan
stat.MLcs.CVcs.LGarXiv:1704.01664v12017
Rapid Locomotion via Reinforcement Learning
Gabriel B Margolis, Ge Yang, Kartik Paigwar +2
cs.ROcs.AIcs.LGarXiv:2205.02824v12022
A Survey on Negative Transfer
Wen Zhang, Lingfei Deng, Lei Zhang +1
cs.LGcs.CVstat.MLarXiv:2009.00909v42020
Circuit Condensation: Post-Training that Concentrates a Behavior's Causal Circuit
Sai Adith Senthil Kumar
cs.LGarXiv:2608.27254v12026
On the Indistinguishability of Human v/s AI Generated Text
Jaee Ponde, Aritra Das, Mihir More +1
cs.LGarXiv:2608.26797v12026
Unifying Detection and Adaptation in Task-Free Continual Learning
Dezheng Han, Anbang Zhang, Zhihao Zhu +1
cs.LGcs.CLarXiv:2608.27070v12026
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks
Daniel Kang, Xuechen Li, Ion Stoica +3
cs.CRcs.LGarXiv:2302.05733v12023
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Jiawei Zhang, Haopeng Zhang, Congying Xia +1
cs.LGcs.NEstat.MLarXiv:2001.05140v22020
Vision Transformers are Robust Learners
Sayak Paul, Pin-Yu Chen
cs.CVcs.LGarXiv:2105.07581v32021
A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications
Navid Zobeiry, Keith D. Humfeld
cs.LGarXiv:2010.02011v12020
Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks
Tomasz Szandała
cs.LGcs.NEarXiv:2010.09458v12020
Safety by Design: Realized-Cost Constraints for Contextual Bandits with Continuous Actions
Spyros Dragazis, Aldo Pacchiano
cs.LGarXiv:2608.26755v12026
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Zhiwei Liu, Yingtong Dou, Philip S. Yu +2
cs.SIcs.IRcs.LGarXiv:2005.00625v32020
Generating Images with Multimodal Language Models
Jing Yu Koh, Daniel Fried, Ruslan Salakhutdinov
cs.CLcs.CVcs.LGarXiv:2305.17216v32023
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao, Yasaman Bahri, Jascha Sohl-Dickstein +2
stat.MLcs.LGarXiv:1806.05393v22018

Machine Learning

Meta-Learning Representations for Continual Learning

Federated Learning for Malware Detection in IoT Devices

A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses

On Evaluating Adversarial Robustness of Large Vision-Language Models

Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

Free Lunch for Few-shot Learning: Distribution Calibration

District-Level Food Environment Indicators and Social Vulnerability in São Paulo

Least Ambiguous Set-Valued Classifiers with Bounded Error Levels

Charting the Right Manifold: Manifold Mixup for Few-shot Learning

Generating 3D Adversarial Point Clouds

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint

BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data

Interpreting Latent Protein Language Model Features with Geometric Annotations

Applying Deep Learning to Answer Selection: A Study and An Open Task

QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

What Makes Multi-modal Learning Better than Single (Provably)

Analysis of classifiers' robustness to adversarial perturbations

NeoTriFuse: Reliability-Aware Multimodal Fusion under Missingness Heterogeneity for Neonatal Mortality Risk Prediction

A Survey on Mixture of Experts in Large Language Models

Algebraic Multigrid Acceleration for Efficient Label Spreading

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning

Multi-Dataset Inverse Problem Solving with Distributed Generative AI

BERTology Meets Biology: Interpreting Attention in Protein Language Models

Supersparse Linear Integer Models for Optimized Medical Scoring Systems

Pruning Binarized Neural Networks: A Dedicated Framework and Globally Weighted Algorithms

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

Vowel Signs Are Not Letters: A Pre-tokenization Ceiling on Multilingual Tokenizer Fertility

Stochastic Optimization with Importance Sampling

Meta-Reinforcement Learning of Structured Exploration Strategies

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction

ATOMO: Communication-efficient Learning via Atomic Sparsification

Transfer Learning with Dynamic Adversarial Adaptation Network

Hierarchical Federated Learning Across Heterogeneous Cellular Networks

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

Exploring Randomly Wired Neural Networks for Image Recognition

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

Sorting out Lipschitz function approximation

Recommender Systems with Generative Retrieval

A Review of Graph Neural Networks and Their Applications in Power Systems

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification

Rapid Locomotion via Reinforcement Learning

A Survey on Negative Transfer

Circuit Condensation: Post-Training that Concentrates a Behavior's Causal Circuit

On the Indistinguishability of Human v/s AI Generated Text

Unifying Detection and Adaptation in Task-Free Continual Learning

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

Graph-Bert: Only Attention is Needed for Learning Graph Representations

Vision Transformers are Robust Learners

A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications

Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks

Safety by Design: Realized-Cost Constraints for Contextual Bandits with Continuous Actions

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

Generating Images with Multimodal Language Models

Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks