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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11,881 to 11,940 of 20,193

Machine learning for Internet of Things data analysis: A survey
Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain +3
cs.LGcs.CYcs.DCarXiv:1802.06305v12018
Robust Loss Functions under Label Noise for Deep Neural Networks
Aritra Ghosh, Himanshu Kumar, P. S. Sastry
stat.MLcs.LGarXiv:1712.09482v12017
Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
Yu Zhao, Rennong Yang, Guillaume Chevalier +1
cs.CVcs.LGarXiv:1708.08989v22017
Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier -- A Review
V. B. Surya Prasath, Haneen Arafat Abu Alfeilat, Ahmad B. A. Hassanat +4
cs.LGcs.AIarXiv:1708.04321v32017
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal, Emilio Ferrara
cs.SIcs.LGphysics.data-anarXiv:1705.02801v42017
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective
Shixia Liu, Xiting Wang, Mengchen Liu +1
cs.LGstat.MLarXiv:1702.01226v12017
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
Ahmed Salem, Apratim Bhattacharya, Michael Backes +2
cs.CRcs.LGstat.MLarXiv:1904.01067v22019
AutoInt: Automatic Integration for Fast Neural Volume Rendering
David B. Lindell, Julien N. P. Martel, Gordon Wetzstein
cs.CVcs.GRcs.LGarXiv:2012.01714v22020
Inferring solutions of differential equations using noisy multi-fidelity data
Maziar Raissi, Paris Perdikaris, George Em. Karniadakis
cs.LGarXiv:1607.04805v12016
Fame for sale: efficient detection of fake Twitter followers
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi +2
cs.SIcs.CRcs.LGarXiv:1509.04098v22015
PyTorch Distributed: Experiences on Accelerating Data Parallel Training
Shen Li, Yanli Zhao, Rohan Varma +8
cs.DCcs.LGarXiv:2006.15704v12020
Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
Zeyuan Allen-Zhu, Yuanzhi Li
cs.CLcs.AIcs.LGarXiv:2309.14316v32023
ADD 2022: the First Audio Deep Synthesis Detection Challenge
Jiangyan Yi, Ruibo Fu, Jianhua Tao +17
cs.SDcs.LGeess.ASarXiv:2202.08433v32022
Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress
J. G. M. Esgario, R. A. Krohling, J. A. Ventura
cs.CVcs.LGarXiv:1907.11561v12019
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
Dan Stowell, Mark D. Plumbley
cs.SDcs.LGarXiv:1405.6524v12014
Adversarial Manipulation of Deep Representations
Sara Sabour, Yanshuai Cao, Fartash Faghri +1
cs.CVcs.LGcs.NEarXiv:1511.05122v92015
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan +2
cs.LGcs.CVstat.MLarXiv:1902.03680v32019
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Neil Zeghidour, David Grangier
eess.AScs.CLcs.LGarXiv:2002.08933v22020
Decoding speech perception from non-invasive brain recordings
Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin +2
eess.AScs.AIcs.LGarXiv:2208.12266v22022
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
Kevin Chen, Christopher B. Choy, Manolis Savva +3
cs.CVcs.AIcs.GRarXiv:1803.08495v12018
Fair Algorithms for Clustering
Suman K. Bera, Deeparnab Chakrabarty, Nicolas J. Flores +1
cs.DScs.LGarXiv:1901.02393v22019
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya +5
cs.DCcs.LGarXiv:2008.12260v22020
75 Languages, 1 Model: Parsing Universal Dependencies Universally
Dan Kondratyuk, Milan Straka
cs.CLcs.LGarXiv:1904.02099v32019
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi +2
cs.LGstat.MLarXiv:1809.02925v22018
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Defu Cao, Furong Jia, Sercan O Arik +4
cs.LGcs.CLarXiv:2310.04948v32023
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks
Szu-Wei Fu, Tao-Wei Wang, Yu Tsao +2
stat.MLcs.LGcs.SDarXiv:1709.03658v22017
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
Rouhollah Rahmatizadeh, Pooya Abolghasemi, Ladislau Bölöni +1
cs.LGcs.AIcs.ROarXiv:1707.02920v22017
Evaluating the Moral Beliefs Encoded in LLMs
Nino Scherrer, Claudia Shi, Amir Feder +1
cs.CLcs.AIcs.CYarXiv:2307.14324v12023
Scene Transformer: A unified architecture for predicting multiple agent trajectories
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan +11
cs.CVcs.LGcs.ROarXiv:2106.08417v32021
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Ruqi Zhang, Chunyuan Li, Jianyi Zhang +2
cs.LGcs.AIcs.CVarXiv:1902.03932v22019
Data Poisoning Attacks on Federated Machine Learning
Gan Sun, Yang Cong, Jiahua Dong +2
cs.CRcs.LGarXiv:2004.10020v12020
OLMoE: Open Mixture-of-Experts Language Models
Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld +21
cs.CLcs.AIcs.LGarXiv:2409.02060v22024
One for All: Towards Training One Graph Model for All Classification Tasks
Hao Liu, Jiarui Feng, Lecheng Kong +4
cs.LGarXiv:2310.00149v32023
Privacy Aware Learning
John C. Duchi, Michael I. Jordan, Martin J. Wainwright
stat.MLcs.ITcs.LGarXiv:1210.2085v22012
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu, Michael C. Hughes, Sonali Parbhoo +3
stat.MLcs.LGarXiv:1711.06178v12017
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
Huaibo Huang, Zhihang Li, Ran He +2
cs.LGcs.CVcs.GRarXiv:1807.06358v22018
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Yinghao Aaron Li, Cong Han, Vinay S. Raghavan +2
eess.AScs.AIcs.CLarXiv:2306.07691v22023
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Zhanghan Ke, Di Qiu, Kaican Li +2
cs.CVcs.LGeess.IVarXiv:2008.05258v12020
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You, Kun Yan, Jinmian Ye +2
cs.CVcs.LGeess.IVarXiv:1909.08174v12019
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt +3
stat.MLcs.AIcs.LGarXiv:1806.04854v32018
Differentially Private Empirical Risk Minimization Revisited: Faster and More General
Di Wang, Minwei Ye, Jinhui Xu
cs.LGcs.CRstat.MLarXiv:1802.05251v12018
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Gavin Taylor, Ryan Burmeister, Zheng Xu +3
cs.LGarXiv:1605.02026v12016
QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
Masato Tamura, Hiroki Ohashi, Tomoaki Yoshinaga
cs.CVcs.LGarXiv:2103.05399v12021
A Survey on Video Diffusion Models
Zhen Xing, Qijun Feng, Haoran Chen +5
cs.CVcs.AIcs.LGarXiv:2310.10647v22023
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost
Chen Wang, Chengyuan Deng, Suzhen Wang
cs.LGstat.MLarXiv:1908.01672v22019
sktime: A Unified Interface for Machine Learning with Time Series
Markus Löning, Anthony Bagnall, Sajaysurya Ganesh +3
cs.LGstat.MLarXiv:1909.07872v12019
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha, Robin Jia, Dieuwke Hupkes +3
cs.CLcs.LGarXiv:2104.06644v22021
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Junhwa Hur, Stefan Roth
cs.CVcs.LGarXiv:1904.05290v12019
RobBERT: a Dutch RoBERTa-based Language Model
Pieter Delobelle, Thomas Winters, Bettina Berendt
cs.CLcs.LGarXiv:2001.06286v22020
Less is More: Nyström Computational Regularization
Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
stat.MLcs.LGarXiv:1507.04717v62015
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks
Christina Chaccour, Walid Saad, Merouane Debbah +2
cs.AIcs.ITcs.LGarXiv:2211.14343v12022
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
Xiaowei Jia, Jared Willard, Anuj Karpatne +4
cs.LGeess.SParXiv:2001.11086v32020
Nested cross-validation when selecting classifiers is overzealous for most practical applications
Jacques Wainer, Gavin Cawley
cs.LGstat.MLarXiv:1809.09446v12018
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer, Tero Karras, Samuli Laine +2
cs.LGcs.CVarXiv:2301.09515v12023
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
Daphna Weinshall, Gad Cohen, Dan Amir
cs.LGarXiv:1802.03796v42018
Towards Explainable Deep Neural Networks (xDNN)
Plamen Angelov, Eduardo Soares
cs.LGcs.AIcs.CVarXiv:1912.02523v12019
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre +4
cs.CLcs.AIcs.LGarXiv:1603.06807v22016
Efficient softmax approximation for GPUs
Edouard Grave, Armand Joulin, Moustapha Cissé +2
cs.CLcs.LGarXiv:1609.04309v32016
Improving CLIP Training with Language Rewrites
Lijie Fan, Dilip Krishnan, Phillip Isola +2
cs.CVcs.CLcs.LGarXiv:2305.20088v22023
Revisiting Self-Training for Neural Sequence Generation
Junxian He, Jiatao Gu, Jiajun Shen +1
cs.LGcs.CLstat.MLarXiv:1909.13788v32019

Machine Learning

Machine learning for Internet of Things data analysis: A survey

Robust Loss Functions under Label Noise for Deep Neural Networks

Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier -- A Review

Graph Embedding Techniques, Applications, and Performance: A Survey

Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

AutoInt: Automatic Integration for Fast Neural Volume Rendering

Inferring solutions of differential equations using noisy multi-fidelity data

Fame for sale: efficient detection of fake Twitter followers

PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

ADD 2022: the First Audio Deep Synthesis Detection Challenge

Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning

Adversarial Manipulation of Deep Representations

Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion

Wavesplit: End-to-End Speech Separation by Speaker Clustering

Decoding speech perception from non-invasive brain recordings

Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings

Fair Algorithms for Clustering

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

75 Languages, 1 Model: Parsing Universal Dependencies Universally

Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks

Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration

Evaluating the Moral Beliefs Encoded in LLMs

Scene Transformer: A unified architecture for predicting multiple agent trajectories

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Data Poisoning Attacks on Federated Machine Learning

OLMoE: Open Mixture-of-Experts Language Models

One for All: Towards Training One Graph Model for All Classification Tasks

Privacy Aware Learning

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability

IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam

Differentially Private Empirical Risk Minimization Revisited: Faster and More General

Training Neural Networks Without Gradients: A Scalable ADMM Approach

QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information

A Survey on Video Diffusion Models

Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost

sktime: A Unified Interface for Machine Learning with Time Series

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation

RobBERT: a Dutch RoBERTa-based Language Model

Less is More: Nyström Computational Regularization

Less Data, More Knowledge: Building Next Generation Semantic Communication Networks

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

Nested cross-validation when selecting classifiers is overzealous for most practical applications

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks

Towards Explainable Deep Neural Networks (xDNN)

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

Efficient softmax approximation for GPUs

Improving CLIP Training with Language Rewrites

Revisiting Self-Training for Neural Sequence Generation