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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18,241 to 18,300 of 20,199

One weird trick for parallelizing convolutional neural networks
Alex Krizhevsky
cs.NEcs.DCcs.LGarXiv:1404.5997v22014
Convolutional Radio Modulation Recognition Networks
Timothy J O'Shea, Johnathan Corgan, T. Charles Clancy
cs.LGcs.CVarXiv:1602.04105v32016
Horovod: fast and easy distributed deep learning in TensorFlow
Alexander Sergeev, Mike Del Balso
cs.LGstat.MLarXiv:1802.05799v32018
N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders
Yair Meidan, Michael Bohadana, Yael Mathov +4
cs.CRcs.LGarXiv:1805.03409v12018
Federated Learning with Matched Averaging
Hongyi Wang, Mikhail Yurochkin, Yuekai Sun +2
cs.LGstat.MLarXiv:2002.06440v12020
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega, Matteo Boschini, Angelo Porrello +2
stat.MLcs.LGarXiv:2004.07211v22020
Deep Learning in Bioinformatics
Seonwoo Min, Byunghan Lee, Sungroh Yoon
cs.LGq-bio.GNarXiv:1603.06430v52016
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
Yao Du, Shanshan Song, Xiaomeng Li
cs.CLcs.CVcs.LGarXiv:2605.01402v22026
DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices
Chenyang Song, Weilin Zhao, Xu Han +3
cs.LGcs.CLarXiv:2605.10933v32026
Unsupervised Process Reward Models
Artyom Gadetsky, Maxim Kodryan, Siba Smarak Panigrahi +2
cs.LGarXiv:2605.10158v12026
Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He, Tat-Seng Chua
cs.LGarXiv:1708.05027v12017
Urban-ImageNet: A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception
Yiwei Ou, Chung Ching Cheung, Jun Yang Ang +5
cs.CVcs.IRcs.LGarXiv:2605.09936v12026
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu, Derek Tam, Mohammed Muqeeth +4
cs.LGcs.AIcs.CLarXiv:2205.05638v22022
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar, Razvan Pascanu, Kyunghyun Cho +1
stat.MLcs.LGcs.NEarXiv:1402.1869v22014
Semi-Supervised Learning with Ladder Networks
Antti Rasmus, Harri Valpola, Mikko Honkala +2
cs.NEcs.LGstat.MLarXiv:1507.02672v22015
Theano: new features and speed improvements
Frédéric Bastien, Pascal Lamblin, Razvan Pascanu +6
cs.SCcs.LGarXiv:1211.5590v12012
Deep Learning for Anomaly Detection: A Review
Guansong Pang, Chunhua Shen, Longbing Cao +1
cs.LGcs.CVstat.MLarXiv:2007.02500v32020
SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding
Anton Plaksin, Sergei Krutikov, Sergei Skvortsov +1
cs.LGcs.CLarXiv:2605.10453v12026
Flood Prediction Using Machine Learning Models: Literature Review
Amir Mosavi, Pinar Ozturk, Kwok-wing Chau
cs.LGstat.MLarXiv:1908.02781v12019
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations
Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan
cs.LGcs.CYstat.MLarXiv:1905.07697v22019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen, Yankai Lin, Wei Li +3
cs.LGcs.SIstat.MLarXiv:1909.03211v22019
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik, Monica Agrawal, Jure Leskovec
cs.LGq-bio.MNstat.MLarXiv:1802.00543v22018
Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
Daniel Goldstein, Navneel Singhal, Eugene Cheah
cs.LGcs.AIcs.CLarXiv:2605.09877v52026
Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
Zheyu Zhang, Shuo Yang, Bardh Prenkaj +1
cs.LGcs.AIarXiv:2605.10315v12026
GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction
Ihor Stepanov, Oleksandr Lukashov, Mykhailo Shtopko +1
cs.CLcs.LGarXiv:2605.10108v12026
GAIN: Missing Data Imputation using Generative Adversarial Nets
Jinsung Yoon, James Jordon, Mihaela van der Schaar
cs.LGstat.MLarXiv:1806.02920v12018
AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward
Runhui Huang, Jie Wu, Rui Yang +2
cs.CVcs.AIcs.LGarXiv:2605.12495v12026
Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics
Jishnu Sethumadhavan Nair, Patrice Bechard, Rishabh Maheshwary +14
cs.AIcs.CLcs.LGarXiv:2605.12178v12026
CoQA: A Conversational Question Answering Challenge
Siva Reddy, Danqi Chen, Christopher D. Manning
cs.CLcs.AIcs.LGarXiv:1808.07042v22018
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
Valeriy Vyaltsev, Alsu Sagirova, Anton Andreychuk +5
cs.AIcs.LGcs.MAarXiv:2605.07637v22026
Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
Eilam Shapira, Moshe Tennenholtz, Roi Reichart
cs.LGcs.AIcs.CLarXiv:2605.12411v12026
End-to-end representation learning for Correlation Filter based tracking
Jack Valmadre, Luca Bertinetto, João F. Henriques +2
cs.CVcs.LGarXiv:1704.06036v12017
Sequence-Level Knowledge Distillation
Yoon Kim, Alexander M. Rush
cs.CLcs.LGcs.NEarXiv:1606.07947v42016
Over the Air Deep Learning Based Radio Signal Classification
Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy
cs.LGeess.SParXiv:1712.04578v12017
Deep clustering: Discriminative embeddings for segmentation and separation
John R. Hershey, Zhuo Chen, Jonathan Le Roux +1
cs.NEcs.LGstat.MLarXiv:1508.04306v12015
Debiased Model-based Representations for Sample-efficient Continuous Control
Jiafei Lyu, Zichuan Lin, Scott Fujimoto +5
cs.LGcs.AIarXiv:2605.11711v12026
Exploring Generalization in Deep Learning
Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester +1
cs.LGarXiv:1706.08947v22017
Meta-Learning with Differentiable Convex Optimization
Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran +1
cs.CVcs.LGarXiv:1904.03758v22019
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou, Sachin Ravi +5
cs.LGcs.CVstat.MLarXiv:1803.00676v12018
Improved Knowledge Distillation via Teacher Assistant
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li +3
cs.LGcs.AIstat.MLarXiv:1902.03393v22019
WriteSAE: Sparse Autoencoders for Recurrent State
Jack Young
cs.LGcs.AIcs.CLarXiv:2605.12770v42026
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan +3
cs.CVcs.LGarXiv:1904.05160v22019
Concept Bottleneck Models
Pang Wei Koh, Thao Nguyen, Yew Siang Tang +4
cs.LGstat.MLarXiv:2007.04612v32020
Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
Chien Van Nguyen, Chaitra Hegde, Van Cuong Pham +3
cs.LGcs.AIarXiv:2605.12825v22026
Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li, Shengyuan Hu, Ahmad Beirami +1
cs.LGstat.MLarXiv:2012.04221v32020
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao
cs.CVcs.LGarXiv:2011.08036v22020
BloombergGPT: A Large Language Model for Finance
Shijie Wu, Ozan Irsoy, Steven Lu +6
cs.LGcs.AIcs.CLarXiv:2303.17564v32023
DocAtlas: Multilingual Document Understanding Across 80+ Languages
Ahmed Heakl, Youssef Mohamed, Abdullah Sohail +6
cs.CLcs.CVcs.LGarXiv:2605.12623v22026
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang, Rui Shi, Donglai Wei +5
cs.CVcs.AIcs.LGarXiv:2110.14795v22021
MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities
Mingqiao Ye, Zhaochong An, Zhitong Gao +11
cs.CVcs.AIcs.LGarXiv:2607.25948v12026
Frequency Bias and OOD Generalization in Neural Operators under a Variable-Coefficient Wave Equation
Runlong Xie, An Luo
cs.LGarXiv:2605.12997v12026
Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds
Prateek Biswas, Dhaval Patel, Vedant Khandelwal +2
cs.IRcs.LGcs.PLarXiv:2605.18827v12026
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
Elias Frantar, Dan Alistarh
cs.LGarXiv:2301.00774v32023
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019
Omer Berat Sezer, Mehmet Ugur Gudelek, Ahmet Murat Ozbayoglu
cs.LGq-fin.CPstat.MLarXiv:1911.13288v12019
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu, Martin Simonovsky
cs.CVcs.LGcs.NEarXiv:1711.09869v22017
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani +2
cs.CLcs.AIcs.LGarXiv:2205.14217v12022
Do Vision Transformers See Like Convolutional Neural Networks?
Maithra Raghu, Thomas Unterthiner, Simon Kornblith +2
cs.CVcs.AIcs.LGarXiv:2108.08810v22021
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
Or Patashnik, Zongze Wu, Eli Shechtman +2
cs.CVcs.CLcs.GRarXiv:2103.17249v12021
LoREnc: Low-Rank Encryption for Securing Foundation Models and LoRA Adapters
Beomjin Ahn, Jungmin Kwon, Chanyong Jung +1
cs.CRcs.CVcs.LGarXiv:2605.13163v12026
Training Large Language Models to Predict Clinical Events
Benjamin Turtel, Paul Wilczewski, Kris Skotheim
cs.LGcs.AIcs.CLarXiv:2605.12817v12026

Machine Learning

One weird trick for parallelizing convolutional neural networks

Convolutional Radio Modulation Recognition Networks

Horovod: fast and easy distributed deep learning in TensorFlow

N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders

Federated Learning with Matched Averaging

Dark Experience for General Continual Learning: a Strong, Simple Baseline

Deep Learning in Bioinformatics

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices

Unsupervised Process Reward Models

Neural Factorization Machines for Sparse Predictive Analytics

Urban-ImageNet: A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

On the Number of Linear Regions of Deep Neural Networks

Semi-Supervised Learning with Ladder Networks

Theano: new features and speed improvements

Deep Learning for Anomaly Detection: A Review

SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding

Flood Prediction Using Machine Learning Models: Literature Review

Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations

Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

Modeling polypharmacy side effects with graph convolutional networks

Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory

Active Tabular Augmentation via Policy-Guided Diffusion Inpainting

GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction

GAIN: Missing Data Imputation using Generative Adversarial Nets

AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward

Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics

CoQA: A Conversational Question Answering Challenge

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding

Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling

End-to-end representation learning for Correlation Filter based tracking

Sequence-Level Knowledge Distillation

Over the Air Deep Learning Based Radio Signal Classification

Deep clustering: Discriminative embeddings for segmentation and separation

Debiased Model-based Representations for Sample-efficient Continuous Control

Exploring Generalization in Deep Learning

Meta-Learning with Differentiable Convex Optimization

Meta-Learning for Semi-Supervised Few-Shot Classification

Improved Knowledge Distillation via Teacher Assistant

WriteSAE: Sparse Autoencoders for Recurrent State

Large-Scale Long-Tailed Recognition in an Open World

Concept Bottleneck Models

Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion

Ditto: Fair and Robust Federated Learning Through Personalization

Scaled-YOLOv4: Scaling Cross Stage Partial Network

BloombergGPT: A Large Language Model for Finance

DocAtlas: Multilingual Document Understanding Across 80+ Languages

MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities

Frequency Bias and OOD Generalization in Neural Operators under a Variable-Coefficient Wave Equation

Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds

SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Diffusion-LM Improves Controllable Text Generation

Do Vision Transformers See Like Convolutional Neural Networks?

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

LoREnc: Low-Rank Encryption for Securing Foundation Models and LoRA Adapters

Training Large Language Models to Predict Clinical Events