The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence

12 February 2020

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

34 / 34 papers shown

Title
Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence Jinhao Jiang Changlin Chen Shile Feng Wanru Geng Zesheng Zhou Ni Wang Shuai Li Feng-Qi Cui Erbao Dong AI4CE 36 0 0 11 May 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 87 1 0 17 Feb 2025
Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Ashim Dahal Saydul Akbar Murad Nick Rahimi 42 0 0 27 Jan 2025
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 49 0 0 25 Oct 2024
A Self-attention Residual Convolutional Neural Network for Health Condition Classification of Cow Teat Images Minghao Wang 35 0 0 30 Sep 2024
Algebraic Adversarial Attacks on Integrated Gradients Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew SILM AAML 69 2 0 23 Jul 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 94 14 0 02 Feb 2024
Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features Daniel Neururer Volker Dellwo Thilo Stadelmann 44 2 0 01 Nov 2023
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis Ling Yang Shuihua Wang Yudong Zhang 29 0 0 25 Apr 2023
Structural Neural Additive Models: Enhanced Interpretable Machine Learning Mattias Luber Anton Thielmann Benjamin Säfken 31 7 0 18 Feb 2023
Hebbian Deep Learning Without Feedback Adrien Journé Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis AAML 31 49 0 23 Sep 2022
Large Language Models and the Reverse Turing Test T. Sejnowski ELM 28 107 0 28 Jul 2022
Should attention be all we need? The epistemic and ethical implications of unification in machine learning N. Fishman Leif Hancox-Li 30 10 0 09 May 2022
An Empirical Study of the Occurrence of Heavy-Tails in Training a ReLU Gate Sayar Karmakar Anirbit Mukherjee 21 0 0 26 Apr 2022
A Theory of Natural Intelligence C. Malsburg Thilo Stadelmann Benjamin Grewe 17 2 0 22 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 47 127 0 11 Apr 2022
Scalable Geometric Deep Learning on Molecular Graphs Nathan C. Frey S. Samsi Joseph McDonald Lin Li Connor W. Coley V. Gadepally GNN AI4CE 32 4 0 06 Dec 2021
Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal Spaces Sarah Di Robin Yu Amol Kapoor 18 0 0 09 Oct 2021
Towards a theory of out-of-distribution learning Jayanta Dey Ali Geisa Ronak D. Mehta Tyler M. Tomita Hayden S. Helm Haoyin Xu Eric Eaton Jeffery Dick Carey E. Priebe Joshua T. Vogelstein OOD 33 20 0 29 Sep 2021
Task Guided Compositional Representation Learning for ZDA Shuang Liu Mete Ozay OOD 27 0 0 13 Sep 2021
Unified Regularity Measures for Sample-wise Learning and Generalization Chi Zhang Xiaoning Ma Yu Liu Le Wang Yuanqi Su Yuehu Liu 39 1 0 09 Aug 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks Timoleon Moraitis Dmitry Toichkin Adrien Journé Yansong Chua Qinghai Guo AAML BDL 68 28 0 12 Jul 2021
Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events Arnob Ray Tanujit Chakraborty D. Ghosh AI4TS 19 28 0 09 Jun 2021
A brain basis of dynamical intelligence for AI and computational neuroscience J. Monaco Kanaka Rajan Grace M. Hwang AI4CE 26 6 0 15 May 2021
Demystification of Few-shot and One-shot Learning I. Tyukin A. Gorban Muhammad H. Alkhudaydi Qinghua Zhou 23 13 0 25 Apr 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 54 203 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 29 27 0 26 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 42 200 0 15 Dec 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 22 3 0 12 Aug 2020
Machine learning and control engineering: The model-free case M. Fliess Cédric Join 23 13 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 24 18 0 21 May 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 32 8 0 14 Feb 2020
Learning credit assignment Chan Li Haiping Huang 23 7 0 10 Jan 2020
Deep Learning Works in Practice. But Does it Work in Theory? L. Hoang R. Guerraoui PINN 44 3 0 31 Jan 2018