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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11,821 to 11,880 of 20,193

Data Augmentation for Deep Graph Learning: A Survey
Kaize Ding, Zhe Xu, Hanghang Tong +1
cs.LGarXiv:2202.08235v32022
Differential Privacy and Machine Learning: a Survey and Review
Zhanglong Ji, Zachary C. Lipton, Charles Elkan
cs.LGcs.CRcs.DBarXiv:1412.7584v12014
Factuality Challenges in the Era of Large Language Models
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +15
cs.CLcs.AIcs.LGarXiv:2310.05189v22023
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
Martin J. A. Schuetz, J. Kyle Brubaker, Helmut G. Katzgraber
cs.LGcond-mat.dis-nncs.AIarXiv:2107.01188v22021
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation
Lu Wang, Wei Zhang, Xiaofeng He +1
cs.LGstat.MLarXiv:1807.01473v22018
The Fallacy of AI Functionality
Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz +1
cs.LGarXiv:2206.09511v22022
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry, Albert Gordo, Puneet K. Dokania +2
cs.LGstat.MLarXiv:2002.08165v22020
M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues
Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra +2
eess.SPcs.CLcs.LGarXiv:1911.05659v22019
Editing in Style: Uncovering the Local Semantics of GANs
Edo Collins, Raja Bala, Bob Price +1
cs.CVcs.LGarXiv:2004.14367v22020
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann, Eric R. Chan, Richard Tucker +2
cs.CVcs.GRcs.LGarXiv:2006.09662v12020
VideoMatch: Matching based Video Object Segmentation
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing
cs.CVcs.LGarXiv:1809.01123v12018
Hierarchical Transformers for Long Document Classification
Raghavendra Pappagari, Piotr Żelasko, Jesús Villalba +2
cs.CLcs.LGstat.MLarXiv:1910.10781v12019
Does provable absence of barren plateaus imply classical simulability?
M. Cerezo, Martin Larocca, Diego García-Martín +9
quant-phcs.LGstat.MLarXiv:2312.09121v32023
Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin +3
eess.IVcs.CVcs.LGarXiv:2206.01088v22022
Depth-Adaptive Transformer
Maha Elbayad, Jiatao Gu, Edouard Grave +1
cs.CLcs.LGarXiv:1910.10073v42019
Deep Spectral Clustering using Dual Autoencoder Network
Xu Yang, Cheng Deng, Feng Zheng +2
cs.LGcs.CVstat.MLarXiv:1904.13113v12019
Causal Discovery with Reinforcement Learning
Shengyu Zhu, Ignavier Ng, Zhitang Chen
cs.LGstat.MLarXiv:1906.04477v42019
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials
Philipp Thölke, Gianni De Fabritiis
cs.LGcs.AIphysics.chem-pharXiv:2202.02541v22022
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning
Jun Inoue, Yoriyuki Yamagata, Yuqi Chen +2
cs.LGarXiv:1709.05342v22017
Hierarchical Generative Modeling for Controllable Speech Synthesis
Wei-Ning Hsu, Yu Zhang, Ron J. Weiss +9
cs.CLcs.LGcs.SDarXiv:1810.07217v22018
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty +3
cs.LGcs.AIcs.CRarXiv:1805.11090v32018
tinyBenchmarks: evaluating LLMs with fewer examples
Felipe Maia Polo, Lucas Weber, Leshem Choshen +3
cs.CLcs.AIcs.LGarXiv:2402.14992v22024
Navigation World Models
Amir Bar, Gaoyue Zhou, Danny Tran +2
cs.CVcs.AIcs.LGarXiv:2412.03572v22024
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Chang Ma, Junlei Zhang, Zhihao Zhu +6
cs.CLcs.AIcs.LGarXiv:2401.13178v22024
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent
Chi Jin, Praneeth Netrapalli, Michael I. Jordan
cs.LGmath.OCstat.MLarXiv:1711.10456v12017
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Jianggang Zhu, Zheng Wang, Jingjing Chen +2
cs.CVcs.LGarXiv:2207.09052v32022
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu, Leilei Sun, Bowen Du +1
cs.LGarXiv:2303.13047v32023
A Systematic Study of Online Class Imbalance Learning with Concept Drift
Shuo Wang, Leandro L. Minku, Xin Yao
cs.LGarXiv:1703.06683v12017
Listen to Look: Action Recognition by Previewing Audio
Ruohan Gao, Tae-Hyun Oh, Kristen Grauman +1
cs.CVcs.LGcs.SDarXiv:1912.04487v32019
Manifold Gaussian Processes for Regression
Roberto Calandra, Jan Peters, Carl Edward Rasmussen +1
stat.MLcs.LGarXiv:1402.5876v42014
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree +2
cs.LGarXiv:1611.06256v32016
FP8 Formats for Deep Learning
Paulius Micikevicius, Dusan Stosic, Neil Burgess +12
cs.LGarXiv:2209.05433v22022
Highway Long Short-Term Memory RNNs for Distant Speech Recognition
Yu Zhang, Guoguo Chen, Dong Yu +3
cs.NEcs.AIcs.CLarXiv:1510.08983v22015
Attention, please! A survey of Neural Attention Models in Deep Learning
Alana de Santana Correia, Esther Luna Colombini
cs.LGcs.AIcs.CVarXiv:2103.16775v12021
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Joaquin Vanschoren +2
cs.LGarXiv:2307.04722v22023
Learning for Safety-Critical Control with Control Barrier Functions
Andrew Taylor, Andrew Singletary, Yisong Yue +1
eess.SYcs.LGarXiv:1912.10099v12019
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
Huiting Hong, Hantao Guo, Yucheng Lin +3
cs.LGcs.SIstat.MLarXiv:1912.10832v12019
Unified Contrastive Learning in Image-Text-Label Space
Jianwei Yang, Chunyuan Li, Pengchuan Zhang +4
cs.CVcs.AIcs.LGarXiv:2204.03610v12022
Line Graph Neural Networks for Link Prediction
Lei Cai, Jundong Li, Jie Wang +1
cs.LGarXiv:2010.10046v12020
Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle-Pérez, Chico Q. Camargo, Ard A. Louis
stat.MLcs.AIcs.LGarXiv:1805.08522v52018
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition
Xinke Shen, Xianggen Liu, Xin Hu +2
cs.HCcs.LGeess.SParXiv:2109.09559v22021
Multiview Transformers for Video Recognition
Shen Yan, Xuehan Xiong, Anurag Arnab +4
cs.CVcs.LGarXiv:2201.04288v42022
Simple but Effective: CLIP Embeddings for Embodied AI
Apoorv Khandelwal, Luca Weihs, Roozbeh Mottaghi +1
cs.CVcs.LGarXiv:2111.09888v22021
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz, Yasaman Bahri, Ethan Dyer +2
stat.MLcs.LGarXiv:2003.02218v12020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Alexander Tong, Jessie Huang, Guy Wolf +2
stat.MLcs.CVcs.LGarXiv:2002.04461v22020
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey
Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos
cs.CRcs.LGstat.MLarXiv:2004.05289v12020
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
cs.CVcs.LGcs.MMarXiv:1908.03673v12019
Probabilistic Forecasting with Temporal Convolutional Neural Network
Yitian Chen, Yanfei Kang, Yixiong Chen +1
stat.MLcs.LGarXiv:1906.04397v32019
End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network
Sajjad Abdoli, Patrick Cardinal, Alessandro Lameiras Koerich
cs.SDcs.LGstat.MLarXiv:1904.08990v12019
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification
S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari +1
cs.CVcs.LGcs.NEarXiv:1902.02771v32019
An overview of deep learning in medical imaging focusing on MRI
Alexander Selvikvåg Lundervold, Arvid Lundervold
cs.CVcs.LGstat.MLarXiv:1811.10052v22018
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
Liu Yang, Dongkun Zhang, George Em Karniadakis
stat.MLcs.LGmath.AParXiv:1811.02033v12018
Distributed learning of deep neural network over multiple agents
Otkrist Gupta, Ramesh Raskar
cs.LGstat.MLarXiv:1810.06060v12018
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo
cs.SIcs.AIcs.LGarXiv:1809.02657v22018
Handling Incomplete Heterogeneous Data using VAEs
Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani +1
cs.LGcs.AIstat.MLarXiv:1807.03653v42018
Confounding variables can degrade generalization performance of radiological deep learning models
John R. Zech, Marcus A. Badgeley, Manway Liu +3
cs.CVcs.LGstat.MLarXiv:1807.00431v22018
Deep learning in business analytics and operations research: Models, applications and managerial implications
Mathias Kraus, Stefan Feuerriegel, Asil Oztekin
cs.LGstat.MLarXiv:1806.10897v32018
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante +4
stat.MLcs.LGarXiv:1806.01738v12018
OFF-ApexNet on Micro-expression Recognition System
Sze-Teng Liong, Y. S. Gan, Wei-Chuen Yau +2
cs.CVcs.LGarXiv:1805.08699v12018
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data
Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa +2
stat.MLcs.LGstat.MEarXiv:1803.11266v12018

Machine Learning

Data Augmentation for Deep Graph Learning: A Survey

Differential Privacy and Machine Learning: a Survey and Review

Factuality Challenges in the Era of Large Language Models

Combinatorial Optimization with Physics-Inspired Graph Neural Networks

Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation

The Fallacy of AI Functionality

Using Hindsight to Anchor Past Knowledge in Continual Learning

M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues

Editing in Style: Uncovering the Local Semantics of GANs

MetaSDF: Meta-learning Signed Distance Functions

VideoMatch: Matching based Video Object Segmentation

Hierarchical Transformers for Long Document Classification

Does provable absence of barren plateaus imply classical simulability?

Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning

Depth-Adaptive Transformer

Deep Spectral Clustering using Dual Autoencoder Network

Causal Discovery with Reinforcement Learning

TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials

Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning

Hierarchical Generative Modeling for Controllable Speech Synthesis

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization

tinyBenchmarks: evaluating LLMs with fewer examples

Navigation World Models

AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent

Balanced Contrastive Learning for Long-Tailed Visual Recognition

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

A Systematic Study of Online Class Imbalance Learning with Concept Drift

Listen to Look: Action Recognition by Previewing Audio

Manifold Gaussian Processes for Regression

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

FP8 Formats for Deep Learning

Highway Long Short-Term Memory RNNs for Distant Speech Recognition

Attention, please! A survey of Neural Attention Models in Deep Learning

Advances and Challenges in Meta-Learning: A Technical Review

Learning for Safety-Critical Control with Control Barrier Functions

An Attention-based Graph Neural Network for Heterogeneous Structural Learning

Unified Contrastive Learning in Image-Text-Label Space

Line Graph Neural Networks for Link Prediction

Deep learning generalizes because the parameter-function map is biased towards simple functions

Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition

Multiview Transformers for Video Recognition

Simple but Effective: CLIP Embeddings for Embodied AI

The large learning rate phase of deep learning: the catapult mechanism

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey

Recent Advances in Deep Learning for Object Detection

Probabilistic Forecasting with Temporal Convolutional Neural Network

End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network

Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification

An overview of deep learning in medical imaging focusing on MRI

Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

Distributed learning of deep neural network over multiple agents

dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning

Handling Incomplete Heterogeneous Data using VAEs

Confounding variables can degrade generalization performance of radiological deep learning models

Deep learning in business analytics and operations research: Models, applications and managerial implications

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

OFF-ApexNet on Micro-expression Recognition System

Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data