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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31,381 to 31,440 of 33,062

Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
Haşim Sak, Andrew Senior, Françoise Beaufays
cs.NEcs.CLcs.LGarXiv:1402.1128v12014
Deep Fried Convnets
Zichao Yang, Marcin Moczulski, Misha Denil +4
cs.LGcs.NEstat.MLarXiv:1412.7149v42014
Know Your Master: Driver Profiling-based Anti-theft Method
Byung Il Kwak, JiYoung Woo, Huy Kang Kim
cs.CRcs.LGarXiv:1704.05223v12017
A Clockwork RNN
Jan Koutník, Klaus Greff, Faustino Gomez +1
cs.NEcs.LGarXiv:1402.3511v12014
Challenges of Feature Selection for Big Data Analytics
Jundong Li, Huan Liu
cs.LGarXiv:1611.01875v12016
Bayesian Robust Tensor Factorization for Incomplete Multiway Data
Qibin Zhao, Guoxu Zhou, Liqing Zhang +2
cs.CVcs.LGarXiv:1410.2386v22014
Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records
Abhyuday Jagannatha, Hong Yu
cs.CLcs.LGcs.NEarXiv:1606.07953v22016
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma, Danilo J. Rezende, Shakir Mohamed +1
cs.LGstat.MLarXiv:1406.5298v22014
How Many Topics? Stability Analysis for Topic Models
Derek Greene, Derek O'Callaghan, Pádraig Cunningham
cs.LGcs.CLcs.IRarXiv:1404.4606v32014
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler, Shahar Givony, Tom Zahavy +2
cs.AIcs.LGarXiv:1604.07255v32016
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue +5
cs.CVcs.LGcs.NEarXiv:1408.5093v12014
Learning Longer Memory in Recurrent Neural Networks
Tomas Mikolov, Armand Joulin, Sumit Chopra +2
cs.NEcs.LGarXiv:1412.7753v22014
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty
Edward Johns, Stefan Leutenegger, Andrew J. Davison
cs.ROcs.CVcs.LGarXiv:1608.02239v12016
Deep metric learning using Triplet network
Elad Hoffer, Nir Ailon
cs.LGcs.CVstat.MLarXiv:1412.6622v42014
Global disease monitoring and forecasting with Wikipedia
Nicholas Generous, Geoffrey Fairchild, Alina Deshpande +2
cs.SIcs.LGphysics.soc-pharXiv:1405.3612v22014
Qualitatively characterizing neural network optimization problems
Ian J. Goodfellow, Oriol Vinyals, Andrew M. Saxe
cs.NEcs.LGstat.MLarXiv:1412.6544v62014
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Yuyu Zhang, Hanjun Dai, Chang Xu +5
cs.IRcs.LGcs.NEarXiv:1404.5772v32014
CMA-ES for Hyperparameter Optimization of Deep Neural Networks
Ilya Loshchilov, Frank Hutter
cs.NEcs.LGarXiv:1604.07269v12016
Input Warping for Bayesian Optimization of Non-stationary Functions
Jasper Snoek, Kevin Swersky, Richard S. Zemel +1
stat.MLcs.LGarXiv:1402.0929v32014
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Guosheng Hu, Yongxin Yang, Dong Yi +4
cs.CVcs.LGcs.NEarXiv:1504.02351v12015
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
Pouya Bashivan, Irina Rish, Mohammed Yeasin +1
cs.LGcs.CVarXiv:1511.06448v32015
Dropout improves Recurrent Neural Networks for Handwriting Recognition
Vu Pham, Théodore Bluche, Christopher Kermorvant +1
cs.CVcs.LGcs.NEarXiv:1312.4569v22013
SpaFactor: Lightweight Spatial Context-Aware Gene Program Modeling for Histology-to-Transcriptomics Inference
Shiting Ruan, Xitong Ling, Qiming He +6
cs.LGq-bio.QMarXiv:2609.28563v12026
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam +1
cs.LGcs.CVcs.NEarXiv:1312.6203v32013
Fast Training of Convolutional Networks through FFTs
Michael Mathieu, Mikael Henaff, Yann LeCun
cs.CVcs.LGcs.NEarXiv:1312.5851v52013
Distributed Representations of Sentences and Documents
Quoc V. Le, Tomas Mikolov
cs.CLcs.AIcs.LGarXiv:1405.4053v22014
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
Alex Gittens, Michael W. Mahoney
cs.LGcs.DSmath.NAarXiv:1303.1849v22013
A Deep and Tractable Density Estimator
Benigno Uria, Iain Murray, Hugo Larochelle
stat.MLcs.LGarXiv:1310.1757v22013
Manopt, a Matlab toolbox for optimization on manifolds
Nicolas Boumal, Bamdev Mishra, P. -A. Absil +1
cs.MScs.LGmath.OCarXiv:1308.5200v12013
Polyglot: Distributed Word Representations for Multilingual NLP
Rami Al-Rfou, Bryan Perozzi, Steven Skiena
cs.CLcs.LGarXiv:1307.1662v22013
Predicting Parameters in Deep Learning
Misha Denil, Babak Shakibi, Laurent Dinh +2
cs.LGcs.NEstat.MLarXiv:1306.0543v22013
Learning Monocular Reactive UAV Control in Cluttered Natural Environments
Stephane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar +4
cs.ROcs.CVcs.LGarXiv:1211.1690v12012
Application of k Means Clustering algorithm for prediction of Students Academic Performance
O. J. Oyelade, O. O. Oladipupo, I. C. Obagbuwa
cs.LGcs.CYarXiv:1002.2425v12010
Sequence Transduction with Recurrent Neural Networks
Alex Graves
cs.NEcs.LGstat.MLarXiv:1211.3711v12012
Convolutional Neural Networks Applied to House Numbers Digit Classification
Pierre Sermanet, Soumith Chintala, Yann LeCun
cs.CVcs.LGcs.NEarXiv:1204.3968v12012
Unsupervised Discovery of Mid-Level Discriminative Patches
Saurabh Singh, Abhinav Gupta, Alexei A. Efros
cs.CVcs.AIcs.LGarXiv:1205.3137v22012
Multilingual Topic Models for Unaligned Text
Jordan Boyd-Graber, David Blei
cs.CLcs.IRcs.LGarXiv:1205.2657v12012
DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data
Seongchan Kim, Seungkyun Hong, Minsu Joh +1
cs.LGarXiv:1711.02316v12017
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun
cs.CVcs.LGarXiv:1010.3467v12010
Supervised Classification Performance of Multispectral Images
K. Perumal, R. Bhaskaran
cs.LGcs.CVarXiv:1002.4046v12010
Robust Adversarial Reinforcement Learning with Risk Sensitivity and Critic Consistency Regularization
Jiaxi Wu, Tiantian Zhang, Yuxing Wang +2
cs.LGarXiv:2609.27667v12026
LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies
Sujay Uday Rittikar, Sheela Ramanna
cs.CLcs.LGcs.NEarXiv:2609.27032v12026
A Contraction Framework for Stochastic Operators with Bootstrapping: Application to TD Learning
Ids van der Werf, Sergio Rozada, Antonio G. Marques
cs.LGeess.SPmath.OCarXiv:2609.29961v12026
Probabilistic and Geometry Aware Neural Surrogate of Scrape Off Layer Plasma Simulations
Gabriele Gianuzzo, Stefan Dasbach, Fleur Hendriks +2
cs.LGphysics.plasm-pharXiv:2609.28116v12026
MENO: Memory-Efficient Neural Operator
Shengyang Xu, Weijun Zhang, Jun Hu +1
cs.LGarXiv:2609.27739v12026
The Fellowship of the Query: Learning Retrieval Actions
Mohammed Al-Maamari, Saber Zerhoudi, Michael Granitzer +1
cs.IRcs.AIcs.CLarXiv:2609.28653v12026
Reliable Federated TinyML Deployment for IoT Security
Younsoo Park, Seokhyoen Bae, Shasi Kumar Ramachandran Prabhu +2
cs.CRcs.LGarXiv:2609.27202v12026
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri +2
cs.CVcs.CLcs.LGarXiv:2311.17049v22023
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
Jiaru Zou, Soumya Roy, Vinay Kumar Verma +6
cs.AIcs.CLcs.LGarXiv:2510.06217v12025
EvEMTBench: An Open Benchmark for Machine Learning in Power System Protection
Julian Oelhaf, Georg Kordowich, Christian Bergler +3
eess.SYcs.LGcs.SYarXiv:2609.28149v12026
Data-driven discrete-time deep recurrent neural network-based modeling for dissipative systems
Tuan Luong, Hyungpil Moon
cs.LGcs.ROarXiv:2609.27186v12026
Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
Erfan Shayegani, Keegan Hines, Yue Dong +6
cs.AIcs.CLcs.CRarXiv:2510.01670v12025
Neural network based country wise risk prediction of COVID-19
Ratnabali Pal, Arif Ahmed Sekh, Samarjit Kar +1
q-bio.PEcs.LGarXiv:2004.00959v22020
A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications
Wenyi Xiao, Zechuan Wang, Leilei Gan +9
cs.AIcs.CLcs.LGarXiv:2410.15595v42024
ScholarEval: Research Idea Evaluation Grounded in Literature
Hanane Nour Moussa, Patrick Queiroz Da Silva, Daniel Adu-Ampratwum +7
cs.AIcs.CLcs.LGarXiv:2510.16234v22025
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
Nadezhda Chirkova, Sergey Troshin
cs.LGcs.CLcs.SEarXiv:2308.00683v12023
An Exploratory Ablation of a Small MLA--SSM Hybrid Language Model
Christos Koutsiaris
cs.CLcs.AIcs.IRarXiv:2609.29618v12026
RAMP: Robust Adaptive Mixed-Precision Quantization for Edge CPU Vision Models
David Población-Criado, Dario Garcia-Gasulla, Eduardo Quinones
cs.CVcs.LGcs.PFarXiv:2609.28262v12026
Structured Prompting and Feedback-Guided Reasoning with LLMs for Data Interpretation
Amit Rath
cs.AIcs.CLcs.LGarXiv:2505.01636v12025
Physics-Informed Self-Supervised Learning for Joint Wire Calibration and Interaction Position Reconstruction in Multi-Wire Parallel Plate Avalanche Counters
Antoine Lemasson, Maurycy Rejmund
cs.LGnucl-exphysics.ins-detarXiv:2609.28604v12026

Machine Learning

Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Deep Fried Convnets

Know Your Master: Driver Profiling-based Anti-theft Method

A Clockwork RNN

Challenges of Feature Selection for Big Data Analytics

Bayesian Robust Tensor Factorization for Incomplete Multiway Data

Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records

Semi-Supervised Learning with Deep Generative Models

How Many Topics? Stability Analysis for Topic Models

A Deep Hierarchical Approach to Lifelong Learning in Minecraft

Caffe: Convolutional Architecture for Fast Feature Embedding

Learning Longer Memory in Recurrent Neural Networks

Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty

Deep metric learning using Triplet network

Global disease monitoring and forecasting with Wikipedia

Qualitatively characterizing neural network optimization problems

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks

CMA-ES for Hyperparameter Optimization of Deep Neural Networks

Input Warping for Bayesian Optimization of Non-stationary Functions

When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

Dropout improves Recurrent Neural Networks for Handwriting Recognition

SpaFactor: Lightweight Spatial Context-Aware Gene Program Modeling for Histology-to-Transcriptomics Inference

Spectral Networks and Locally Connected Networks on Graphs

Fast Training of Convolutional Networks through FFTs

Distributed Representations of Sentences and Documents

Revisiting the Nystrom Method for Improved Large-Scale Machine Learning

A Deep and Tractable Density Estimator

Manopt, a Matlab toolbox for optimization on manifolds

Polyglot: Distributed Word Representations for Multilingual NLP

Predicting Parameters in Deep Learning

Learning Monocular Reactive UAV Control in Cluttered Natural Environments

Application of k Means Clustering algorithm for prediction of Students Academic Performance

Sequence Transduction with Recurrent Neural Networks

Convolutional Neural Networks Applied to House Numbers Digit Classification

Unsupervised Discovery of Mid-Level Discriminative Patches

Multilingual Topic Models for Unaligned Text

DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data

Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition

Supervised Classification Performance of Multispectral Images

Robust Adversarial Reinforcement Learning with Risk Sensitivity and Critic Consistency Regularization

LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies

A Contraction Framework for Stochastic Operators with Bootstrapping: Application to TD Learning

Probabilistic and Geometry Aware Neural Surrogate of Scrape Off Layer Plasma Simulations

MENO: Memory-Efficient Neural Operator

The Fellowship of the Query: Learning Retrieval Actions

Reliable Federated TinyML Deployment for IoT Security

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning

EvEMTBench: An Open Benchmark for Machine Learning in Power System Protection

Data-driven discrete-time deep recurrent neural network-based modeling for dissipative systems

Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness

Neural network based country wise risk prediction of COVID-19

A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications

ScholarEval: Research Idea Evaluation Grounded in Literature

CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code

An Exploratory Ablation of a Small MLA--SSM Hybrid Language Model

RAMP: Robust Adaptive Mixed-Precision Quantization for Edge CPU Vision Models

Structured Prompting and Feedback-Guided Reasoning with LLMs for Data Interpretation

Physics-Informed Self-Supervised Learning for Joint Wire Calibration and Interaction Position Reconstruction in Multi-Wire Parallel Plate Avalanche Counters