Deep learning

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Q. Al-Dujaili, Ye Duan, Omran Al-Shamma, José Santamaría, Mohammed A. Fadhel, Muthana Al‐Amidie, Laith Farhan

Citations: 7484 • 2021

A guide to deep learning in healthcare

Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov, Mark A. DePristo, Katherine Chou, Claire Cui, Greg S. Corrado, Sebastian Thrun, Jeff Dean

Citations: 4608 • 2018

Deep Reinforcement Learning: A Brief Survey

Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil A. Bharath

Citations: 4261 • 2017

VoxNet: A 3D Convolutional Neural Network for real-time object recognition

Daniel Maturana, Sebastian Scherer

Citations: 3579 • 2015

A Survey on Deep Transfer Learning

Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu

Citations: 2857 • 2018

Domain randomization for transferring deep neural networks from simulation to the real world

Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel

Citations: 2736 • 2017

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Citations: 2732 • 2021

Deep Learning for 3D Point Clouds: A Survey

Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun

Citations: 2225 • 2020

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tong Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Ahmad Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Benjamin T. Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon-Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Yang Wang

Citations: 2177 • 2021

A Critical Review of Recurrent Neural Networks for Sequence Learning

Zachary C. Lipton, John Berkowitz, Charles Elkan

Citations: 2093 • 2015

Temporal Convolutional Networks for Action Segmentation and Detection

Colin Lea, M. D. Flynn, Renè Vidal, Austin Reiter, Gregory D. Hager

Citations: 2028 • 2017

End-to-end training of deep visuomotor policies

Sergey Levine, Chelsea Finn, Trevor Darrell, Pieter Abbeel

Citations: 1715 • 2016

Deep learning for detecting robotic grasps

Ian Lenz, Honglak Lee, Ashutosh Saxena

Citations: 1646 • 2015

A State-of-the-Art Survey on Deep Learning Theory and Architectures

Md Zahangir Alom, Tarek M. Taha, Chris Yakopcic, Stefan Westberg, Paheding Sidike, Mst Shamima Nasrin, Mahmudul Hasan, Brian C. Van Essen, Abdul Ahad S. Awwal, Vijayan K. Asari

Citations: 1593 • 2019

Target-driven visual navigation in indoor scenes using deep reinforcement learning

Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi

Citations: 1507 • 2017

Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

Shixiang Gu, Ethan Holly, Timothy Lillicrap, Sergey Levine

Citations: 1452 • 2017

End-to-End Training of Deep Visuomotor Policies

Sergey Levine, Chelsea Finn, Trevor Darrell, Pieter Abbeel

Citations: 1399 • 2015

An Introduction to Deep Reinforcement Learning

Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joëlle Pineau

Citations: 1246 • 2018

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Pablo Aparicio, Ken Goldberg

Citations: 1162 • 2017

DeepFruits: A Fruit Detection System Using Deep Neural Networks

Inkyu Sa, Zongyuan Ge, Feras Dayoub, Ben Upcroft, Tristán Pérez, Chris McCool

Citations: 1079 • 2016