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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15,661 to 15,720 of 20,063

Weight Poisoning Attacks on Pre-trained Models
Keita Kurita, Paul Michel, Graham Neubig
cs.LGcs.CLcs.CRarXiv:2004.06660v12020
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau +1
cs.CLcs.LGarXiv:2011.01403v32020
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Francesco Croce, Matthias Hein
cs.LGcs.CRcs.CVarXiv:1907.02044v22019
From Relaxed Indexability to Exact Indexability: A $t$-Step Approach for Partially Observable Restless Bandits
Qizhen Jia, Keqin Liu
cs.LGmath.OCarXiv:2608.24167v12026
DISK: Learning local features with policy gradient
Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls
cs.CVcs.LGarXiv:2006.13566v22020
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
Maximilian Nickel, Douwe Kiela
cs.AIcs.LGstat.MLarXiv:1806.03417v22018
CoDrift: Compositional Drifting for Offline Reinforcement Learning
Xiewei Ni, Ruofeng Mei, Xiangyu Xu
cs.LGcs.ROarXiv:2608.23939v12026
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan, Tao Xu, Raul Puri +22
cs.CLcs.LGarXiv:2201.10005v12022
A review on longitudinal data analysis with random forest in precision medicine
Jianchang Hu, Silke Szymczak
stat.MLcs.LGarXiv:2208.04112v12022
PairNorm: Tackling Oversmoothing in GNNs
Lingxiao Zhao, Leman Akoglu
cs.LGstat.MLarXiv:1909.12223v22019
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess, Loic Matthey, Nicholas Watters +4
cs.CVcs.LGstat.MLarXiv:1901.11390v12019
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
Emre Çakır, Giambattista Parascandolo, Toni Heittola +2
cs.LGcs.SDarXiv:1702.06286v12017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang, Naiyan Wang
cs.CVcs.LGcs.NEarXiv:1707.01213v32017
MLQA: Evaluating Cross-lingual Extractive Question Answering
Patrick Lewis, Barlas Oğuz, Ruty Rinott +2
cs.CLcs.AIcs.LGarXiv:1910.07475v32019
A review: Deep learning for medical image segmentation using multi-modality fusion
Tongxue Zhou, Su Ruan, Stéphane Canu
eess.IVcs.CVcs.LGarXiv:2004.10664v22020
MoRF-AST: Calibrated Probabilistic Virtual Sensing for Structural Monitoring under Changing Operating Conditions
Wingho Feng, Quanwang Li, Ming Zhong +2
cs.CEcs.LGarXiv:2608.24531v12026
PinSieve: Production Selective VLM Serving and a Governed Memory Flywheel for Enterprise Content-Quality Triage
Chuqing Gao, Yuanfang Song, Jonathan Zhang +4
cs.LGarXiv:2608.24040v12026
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari, Conglong Li, Zhewei Yao +5
cs.LGcs.AIcs.DCarXiv:2201.05596v22022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa +1
cs.CVcs.LGarXiv:2111.15640v32021
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms
Lihong Li, Wei Chu, John Langford +1
cs.LGcs.AIcs.ROarXiv:1003.5956v22010
Paritok-4B: Intent-Conditioned Context Compression for Coding Agents
Jiayu Shi, Luzhuo Chen
cs.AIcs.CLcs.LGarXiv:2608.24188v12026
See through Gradients: Image Batch Recovery via GradInversion
Hongxu Yin, Arun Mallya, Arash Vahdat +3
cs.LGcs.CVarXiv:2104.07586v12021
Deep Learning in Medical Image Registration: A Review
Yabo Fu, Yang Lei, Tonghe Wang +3
eess.IVcs.CVcs.LGarXiv:1912.12318v12019
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Samuel Budd, Emma C Robinson, Bernhard Kainz
cs.LGcs.CVcs.HCarXiv:1910.02923v22019
Gaussian Process Behaviour in Wide Deep Neural Networks
Alexander G. de G. Matthews, Mark Rowland, Jiri Hron +2
stat.MLcs.LGarXiv:1804.11271v22018
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6
cs.CRcs.LGarXiv:1707.08945v52017
Every Layer Counts: An Exponential $L_2$ Depth Hierarchy for ReLU Networks
Itay Safran
cs.LGarXiv:2608.23877v12026
Conflict-Averse Gradient Descent for Multi-task Learning
Bo Liu, Xingchao Liu, Xiaojie Jin +2
cs.LGcs.AIarXiv:2110.14048v22021
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Stephen Hardy, Wilko Henecka, Hamish Ivey-Law +4
cs.LGarXiv:1711.10677v12017
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang, Zhifeng Gao, Mingsheng Long +2
cs.LGcs.CVstat.MLarXiv:1804.06300v22018
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang, Meiqi Zhu, Deyu Bo +3
cs.LGcs.SIeess.SParXiv:2007.02265v22020
Neural Processes
Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum +4
cs.LGstat.MLarXiv:1807.01622v12018
Grad-CAM: Why did you say that?
Ramprasaath R Selvaraju, Abhishek Das, Ramakrishna Vedantam +3
stat.MLcs.CVcs.LGarXiv:1611.07450v22016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein, Stefan Falkner, Simon Bartels +2
cs.LGcs.AIstat.MLarXiv:1605.07079v22016
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn, Tianhe Yu, Tianhao Zhang +2
cs.LGcs.AIcs.CVarXiv:1709.04905v12017
Sentiment Analysis Based on Deep Learning: A Comparative Study
Nhan Cach Dang, María N. Moreno-García, Fernando De la Prieta
cs.CLcs.IRcs.LGarXiv:2006.03541v12020
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Wei Zhan, Liting Sun, Di Wang +8
cs.ROcs.CVcs.LGarXiv:1910.03088v12019
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego +2
cs.CVcs.LGcs.ROarXiv:1804.01310v12018
Open-Vocabulary Object Detection Using Captions
Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu +1
cs.CVcs.AIcs.LGarXiv:2011.10678v22020
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen +2
cs.LGcs.CLstat.MLarXiv:1903.04561v22019
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
Zhengyuan Yang, Linjie Li, Jianfeng Wang +7
cs.CVcs.CLcs.LGarXiv:2303.11381v12023
From Causal Plausibility to Causal Reliability: Evaluating LLMs as Calibrated Direct Causal-Edge Classifiers
Amit Kumar, Elnur Adl Zarabi, Suranjana Trivedy +4
cs.LGcs.AIstat.MEarXiv:2608.23660v12026
A Time Series Forest for Classification and Feature Extraction
Houtao Deng, George Runger, Eugene Tuv +1
cs.LGarXiv:1302.2277v22013
Provenance Guided Incremental Learning Under Evolving Concept Definitions
Ismail Lamaakal
cs.AIcs.LGarXiv:2608.23893v12026
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Chris Lu, Cong Lu, Robert Tjarko Lange +3
cs.AIcs.CLcs.LGarXiv:2408.06292v32024
Summaries:한국어
Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications
Li Wei, Chongwen Huang, George C. Alexandropoulos +3
cs.ITcs.LGeess.SParXiv:2008.01459v22020
Can AI-Generated Text be Reliably Detected?
Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian +2
cs.CLcs.AIcs.LGarXiv:2303.11156v42023
The Loss Floor of Denoising Score Matching: Fisher Geometry from Schrödinger Bridges
Avinash Raju, Kai Zhang
cs.LGcond-mat.stat-mecharXiv:2608.23916v12026
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation
Dominik Müller, Iñaki Soto-Rey, Frank Kramer
eess.IVcs.CVcs.LGarXiv:2202.05273v12022
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie +3
cs.LGarXiv:1709.06009v22017
End-to-end Learning of Action Detection from Frame Glimpses in Videos
Serena Yeung, Olga Russakovsky, Greg Mori +1
cs.CVcs.LGarXiv:1511.06984v22015
DeepCoder: Learning to Write Programs
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt +2
cs.LGarXiv:1611.01989v22016
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
Fenglong Ma, Radha Chitta, Jing Zhou +3
cs.LGarXiv:1706.05764v12017
GATNextHop: A GAT for Shortest Path Routing with Cross-Topology Generalization
Chia-Hong Chou, Katerina Potika
cs.LGarXiv:2608.23917v12026
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.AIcs.LGarXiv:1805.06297v22018
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock, Theodore Lim, J. M. Ritchie +1
cs.CVcs.HCcs.LGarXiv:1608.04236v22016
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
Zeyuan Allen-Zhu
math.OCcs.DScs.LGarXiv:1603.05953v62016
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta +6
cs.CVcs.AIcs.LGarXiv:2211.13218v22022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief, Yuanming Shi, Jianmin Lu +1
cs.ITcs.LGcs.NIarXiv:2111.12444v12021
Scalable agent alignment via reward modeling: a research direction
Jan Leike, David Krueger, Tom Everitt +3
cs.LGcs.AIcs.NEarXiv:1811.07871v12018

Machine Learning

Weight Poisoning Attacks on Pre-trained Models

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

From Relaxed Indexability to Exact Indexability: A $t$-Step Approach for Partially Observable Restless Bandits

DISK: Learning local features with policy gradient

Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry

CoDrift: Compositional Drifting for Offline Reinforcement Learning

Text and Code Embeddings by Contrastive Pre-Training

A review on longitudinal data analysis with random forest in precision medicine

PairNorm: Tackling Oversmoothing in GNNs

MONet: Unsupervised Scene Decomposition and Representation

Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

Data-Driven Sparse Structure Selection for Deep Neural Networks

MLQA: Evaluating Cross-lingual Extractive Question Answering

A review: Deep learning for medical image segmentation using multi-modality fusion

MoRF-AST: Calibrated Probabilistic Virtual Sensing for Structural Monitoring under Changing Operating Conditions

PinSieve: Production Selective VLM Serving and a Governed Memory Flywheel for Enterprise Content-Quality Triage

DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms

Paritok-4B: Intent-Conditioned Context Compression for Coding Agents

See through Gradients: Image Batch Recovery via GradInversion

Deep Learning in Medical Image Registration: A Review

A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis

Gaussian Process Behaviour in Wide Deep Neural Networks

Robust Physical-World Attacks on Deep Learning Models

Every Layer Counts: An Exponential $L_2$ Depth Hierarchy for ReLU Networks

Conflict-Averse Gradient Descent for Multi-task Learning

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Neural Processes

Grad-CAM: Why did you say that?

Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets

One-Shot Visual Imitation Learning via Meta-Learning

Sentiment Analysis Based on Deep Learning: A Comparative Study

INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Open-Vocabulary Object Detection Using Captions

Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

From Causal Plausibility to Causal Reliability: Evaluating LLMs as Calibrated Direct Causal-Edge Classifiers

A Time Series Forest for Classification and Feature Extraction

Provenance Guided Incremental Learning Under Evolving Concept Definitions

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications

Can AI-Generated Text be Reliably Detected?

The Loss Floor of Denoising Score Matching: Fisher Geometry from Schrödinger Bridges

Towards a Guideline for Evaluation Metrics in Medical Image Segmentation

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

End-to-end Learning of Action Detection from Frame Glimpses in Videos

DeepCoder: Learning to Write Programs

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks

GATNextHop: A GAT for Shortest Path Routing with Cross-Topology Generalization

A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings

Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

Katyusha: The First Direct Acceleration of Stochastic Gradient Methods

CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

Scalable agent alignment via reward modeling: a research direction