The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence

12 February 2020

Papers citing "The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence"

18 / 68 papers shown

Title
An Analytic Layer-wise Deep Learning Framework with Applications to Robotics Huu-Thiet Nguyen C. Cheah Kar-Ann Toh 44 17 0 07 Feb 2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 120 209 0 28 Jan 2021
Deep Learning for Scene Classification: A Survey Delu Zeng Minyu Liao M. Tavakolian Yulan Guo Bolei Zhou D. Hu M. Pietikäinen Li Liu VLM 121 27 0 26 Jan 2021
Modern Machine and Deep Learning Systems as a way to achieve Man-Computer Symbiosis Chirag Gupta 62 0 0 24 Jan 2021
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z Leibo Kate Larson T. Graepel 121 203 0 15 Dec 2020
Neuromorphic Control Luka Ribar R. Sepulchre 12 19 0 09 Nov 2020
Methods for Pruning Deep Neural Networks S. Vadera Salem Ameen 3DPC 73 130 0 31 Oct 2020
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling Nishant Yadav S. Ravela A. Ganguly OOD AI4Cl AI4CE 65 3 0 12 Aug 2020
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles A. Cichocki Alexander P. Kuleshov 45 0 0 07 Aug 2020
Data-driven effective model shows a liquid-like deep learning Wenxuan Zou Haiping Huang 58 2 0 16 Jul 2020
Machine learning and control engineering: The model-free case M. Fliess Cédric Join 44 14 0 10 Jun 2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot M. Schilling Kai Konen F. Ohl Timo Korthals 56 20 0 21 May 2020
Comments on Sejnowski's "The unreasonable effectiveness of deep learning in artificial intelligence" [arXiv:2002.04806] L. Smith 11 0 0 20 Mar 2020
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure Eliu A. Huerta Asad Khan Edward Davis Colleen Bushell W. Gropp ... S. Koric William T. C. Kramer Brendan McGinty Kenton McHenry Aaron Saxton AI4CE 107 45 0 18 Mar 2020
Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined Connor J. Parde Y. Colón Matthew Q. Hill Carlos D. Castillo Prithviraj Dhar A. O’toole CVBM 63 8 0 14 Feb 2020
Learning credit assignment Chan Li Haiping Huang 69 7 0 10 Jan 2020
A framework for deep learning emulation of numerical models with a case study in satellite remote sensing Kate Duffy T. Vandal Weile Wang R. Nemani A. Ganguly 40 8 0 29 Oct 2019
Deep Learning Works in Practice. But Does it Work in Theory? L. Hoang R. Guerraoui PINN 53 3 0 31 Jan 2018