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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31,141 to 31,200 of 32,950

CNN Architectures for Large-Scale Audio Classification
Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis +10
cs.SDcs.LGstat.MLarXiv:1609.09430v22016
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
Antyanta Bangunharcana, Jae Won Cho, Seokju Lee +3
cs.CVcs.AIcs.LGarXiv:2108.05773v12021
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi, George Fazekas, Mark Sandler +1
cs.NEcs.LGcs.MMarXiv:1609.04243v32016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun, Kate Saenko
cs.CVcs.AIcs.LGarXiv:1607.01719v12016
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao
cs.CVcs.LGarXiv:2011.08036v22020
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Shreyas Fadnavis, Joshua Batson, Eleftherios Garyfallidis
cs.LGcs.CVq-bio.QMarXiv:2011.01355v12020
Wide Residual Networks
Sergey Zagoruyko, Nikos Komodakis
cs.CVcs.LGcs.NEarXiv:1605.07146v42016
Order-Embeddings of Images and Language
Ivan Vendrov, Ryan Kiros, Sanja Fidler +1
cs.LGcs.CLcs.CVarXiv:1511.06361v62015
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans, Andrej Karpathy, Xi Chen +1
cs.LGstat.MLarXiv:1701.05517v12017
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
Michał Kempka, Marek Wydmuch, Grzegorz Runc +2
cs.LGcs.AIcs.CVarXiv:1605.02097v22016
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim, Eunhyeok Park, Sungjoo Yoo +3
cs.CVcs.LGarXiv:1511.06530v22015
All you need is a good init
Dmytro Mishkin, Jiri Matas
cs.LGarXiv:1511.06422v72015
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang, Yu Zheng, Dekang Qi
cs.AIcs.LGarXiv:1610.00081v22016
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark
Marc Hanussek, Matthias Blohm, Maximilien Kintz
cs.LGstat.MLarXiv:2009.01564v22020
Multi-task Sequence to Sequence Learning
Minh-Thang Luong, Quoc V. Le, Ilya Sutskever +2
cs.LGcs.CLstat.MLarXiv:1511.06114v42015
DAiSEE: Towards User Engagement Recognition in the Wild
Abhay Gupta, Arjun D'Cunha, Kamal Awasthi +1
cs.CVcs.LGarXiv:1609.01885v72016
Deepfake Detection using Spatiotemporal Convolutional Networks
Oscar de Lima, Sean Franklin, Shreshtha Basu +2
cs.CVcs.LGeess.IVarXiv:2006.14749v12020
Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN
Keyvan Ramezanpour, Jithin Jagannath
cs.NIcs.LGarXiv:2105.01478v32021
Trustworthy AI
Richa Singh, Mayank Vatsa, Nalini Ratha
cs.CYcs.CRcs.CVarXiv:2011.02272v12020
Handling Missing Data with Graph Representation Learning
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding +2
cs.LGcs.SIstat.MLarXiv:2010.16418v12020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Alon Jacovi, Yoav Goldberg
cs.CLcs.LGarXiv:2004.03685v32020
DLAU: A Scalable Deep Learning Accelerator Unit on FPGA
Chao Wang, Qi Yu, Lei Gong +3
cs.LGcs.DCcs.NEarXiv:1605.06894v12016
HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis
Jiawei Chen, Xu Tan, Jian Luan +2
eess.AScs.CLcs.LGarXiv:2009.01776v12020
Dynamic Backdoor Attacks Against Machine Learning Models
Ahmed Salem, Rui Wen, Michael Backes +2
cs.CRcs.LGstat.MLarXiv:2003.03675v22020
Deep Networks with Stochastic Depth
Gao Huang, Yu Sun, Zhuang Liu +2
cs.LGcs.CVcs.NEarXiv:1603.09382v32016
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Adji B. Dieng, Chong Wang, Jianfeng Gao +1
cs.CLcs.AIcs.LGarXiv:1611.01702v22016
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings
Giambattista Parascandolo, Heikki Huttunen, Tuomas Virtanen
cs.SDcs.LGcs.NEarXiv:1604.00861v12016
Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation
Dong Yu, Morten Kolbæk, Zheng-Hua Tan +1
cs.CLcs.LGcs.SDarXiv:1607.00325v22016
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
Colin Raffel, Daniel P. W. Ellis
cs.LGcs.NEarXiv:1512.08756v52015
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb, Anirudh Goyal, Ying Zhang +3
stat.MLcs.LGarXiv:1610.09038v12016
Yelp Dataset Challenge: Review Rating Prediction
Nabiha Asghar
cs.CLcs.IRcs.LGarXiv:1605.05362v12016
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
Baotian Hu, Qingcai Chen, Fangze Zhu
cs.CLcs.IRcs.LGarXiv:1506.05865v42015
Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng +8
cs.LGcs.IRstat.MLarXiv:2007.12865v42020
Shallow and Deep Convolutional Networks for Saliency Prediction
Junting Pan, Kevin McGuinness, Elisa Sayrol +2
cs.CVcs.LGarXiv:1603.00845v12016
A guide to convolution arithmetic for deep learning
Vincent Dumoulin, Francesco Visin
stat.MLcs.LGcs.NEarXiv:1603.07285v22016
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Lionel Pigou, Aäron van den Oord, Sander Dieleman +2
cs.CVcs.AIcs.LGarXiv:1506.01911v32015
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Chris Dyer, Miguel Ballesteros, Wang Ling +2
cs.CLcs.LGcs.NEarXiv:1505.08075v12015
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava, Abhinav Gupta, Ross Girshick
cs.CVcs.LGarXiv:1604.03540v12016
Learning Deep Structure-Preserving Image-Text Embeddings
Liwei Wang, Yin Li, Svetlana Lazebnik
cs.CVcs.CLcs.LGarXiv:1511.06078v22015
Towards Universal Paraphrastic Sentence Embeddings
John Wieting, Mohit Bansal, Kevin Gimpel +1
cs.CLcs.LGarXiv:1511.08198v32015
Fathom: Reference Workloads for Modern Deep Learning Methods
Robert Adolf, Saketh Rama, Brandon Reagen +2
cs.LGarXiv:1608.06581v12016
Resnet in Resnet: Generalizing Residual Architectures
Sasha Targ, Diogo Almeida, Kevin Lyman
cs.LGcs.CVcs.NEarXiv:1603.08029v12016
Counter-fitting Word Vectors to Linguistic Constraints
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson +6
cs.CLcs.LGarXiv:1603.00892v12016
A Unified Deep Neural Network for Speaker and Language Recognition
Fred Richardson, Douglas Reynolds, Najim Dehak
cs.CLcs.CVcs.LGarXiv:1504.00923v12015
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
Lili Mou, Rui Men, Ge Li +4
cs.CLcs.LGarXiv:1512.08422v32015
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
Fangyi Zhang, Jürgen Leitner, Michael Milford +2
cs.LGcs.CVcs.ROarXiv:1511.03791v22015
Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort +16
cs.LGcs.MSarXiv:1201.0490v42012
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami, Tom Le Paine, Thomas S. Huang
cs.CVcs.LGcs.NEarXiv:1510.02969v32015
Generating images with recurrent adversarial networks
Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang +1
cs.LGcs.CVarXiv:1602.05110v52016
Learning to Incorporate Structure Knowledge for Image Inpainting
Jie Yang, Zhiquan Qi, Yong Shi
cs.CVcs.LGeess.IVarXiv:2002.04170v22020
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Makoto Miwa, Mohit Bansal
cs.CLcs.LGarXiv:1601.00770v32016
The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review
Ivens Portugal, Paulo Alencar, Donald Cowan
cs.SEcs.IRcs.LGarXiv:1511.05263v42015
Learning Norms from Stories: A Prior for Value Aligned Agents
Spencer Frazier, Md Sultan Al Nahian, Mark Riedl +1
cs.AIcs.CLcs.LGarXiv:1912.03553v12019
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities
Arshia Rehman, Saeeda Naz, Imran Razzak
stat.OTcs.LGstat.MLarXiv:2004.09010v12020
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices
Tayfun Gokmen, Yurii Vlasov
cs.LGcs.NEstat.MLarXiv:1603.07341v12016
Structured Pruning of Deep Convolutional Neural Networks
Sajid Anwar, Kyuyeon Hwang, Wonyong Sung
cs.NEcs.LGstat.MLarXiv:1512.08571v12015
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu, Aviral Kumar, Ofir Nachum +2
cs.LGstat.MLarXiv:2004.07219v42020
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
Yoonchang Han, Jaehun Kim, Kyogu Lee
cs.SDcs.CVcs.LGarXiv:1605.09507v32016
An Introduction to Convolutional Neural Networks
Keiron O'Shea, Ryan Nash
cs.NEcs.CVcs.LGarXiv:1511.08458v22015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla
cs.CVcs.LGcs.NEarXiv:1511.00561v32015

Machine Learning

CNN Architectures for Large-Scale Audio Classification

Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation

Convolutional Recurrent Neural Networks for Music Classification

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning

Wide Residual Networks

Order-Embeddings of Images and Language

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning

Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

All you need is a good init

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark

Multi-task Sequence to Sequence Learning

DAiSEE: Towards User Engagement Recognition in the Wild

Deepfake Detection using Spatiotemporal Convolutional Networks

Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN

Trustworthy AI

Handling Missing Data with Graph Representation Learning

Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?

DLAU: A Scalable Deep Learning Accelerator Unit on FPGA

HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis

Dynamic Backdoor Attacks Against Machine Learning Models

Deep Networks with Stochastic Depth

TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency

Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings

Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation

Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems

Professor Forcing: A New Algorithm for Training Recurrent Networks

Yelp Dataset Challenge: Review Rating Prediction

LCSTS: A Large Scale Chinese Short Text Summarization Dataset

Self-supervised Learning for Large-scale Item Recommendations

Shallow and Deep Convolutional Networks for Saliency Prediction

A guide to convolution arithmetic for deep learning

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

Training Region-based Object Detectors with Online Hard Example Mining

Learning Deep Structure-Preserving Image-Text Embeddings

Towards Universal Paraphrastic Sentence Embeddings

Fathom: Reference Workloads for Modern Deep Learning Methods

Resnet in Resnet: Generalizing Residual Architectures

Counter-fitting Word Vectors to Linguistic Constraints

A Unified Deep Neural Network for Speaker and Language Recognition

Natural Language Inference by Tree-Based Convolution and Heuristic Matching

Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control

Scikit-learn: Machine Learning in Python

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?

Generating images with recurrent adversarial networks

Learning to Incorporate Structure Knowledge for Image Inpainting

End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures

The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review

Learning Norms from Stories: A Prior for Value Aligned Agents

Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities

Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices

Structured Pruning of Deep Convolutional Neural Networks

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Deep convolutional neural networks for predominant instrument recognition in polyphonic music

An Introduction to Convolutional Neural Networks

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation