The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence

12 February 2020

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

50 / 68 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 65 0 0 11 May 2025
Tangentially Aligned Integrated Gradients for User-Friendly Explanations Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew FAtt 141 2 0 11 Mar 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 166 2 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 127 0 0 27 Jan 2025
A Self-attention Residual Convolutional Neural Network for Health Condition Classification of Cow Teat Images Minghao Wang 44 0 0 30 Sep 2024
Supervised Learning Model for Key Frame Identification from Cow Teat Videos Minghao Wang Pinxue Lin 40 1 0 26 Sep 2024
Novel Saliency Analysis for the Forward Forward Algorithm Mitra Bakhshi 109 1 0 18 Sep 2024
Algebraic Adversarial Attacks on Integrated Gradients Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew SILM AAML 147 2 0 23 Jul 2024
Trustworthy Artificial Intelligence in the Context of Metrology Tameem Adel Sam Bilson Mark Levene Andrew Thompson 68 3 0 14 Jun 2024
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models Lachlan Simpson Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew BDL FAtt 94 2 0 29 Feb 2024
On the Role of Initialization on the Implicit Bias in Deep Linear Networks Oria Gruber H. Avron AI4CE 16 0 0 04 Feb 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 149 14 0 02 Feb 2024
The twin peaks of learning neural networks Elizaveta Demyanenko Christoph Feinauer Enrico M. Malatesta Luca Saglietti 62 0 0 23 Jan 2024
A Comprehensive Study of Vision Transformers in Image Classification Tasks Mahmoud Khalil Ahmad Khalil A. Ngom ViT 62 10 0 02 Dec 2023
Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features Daniel Neururer Volker Dellwo Thilo Stadelmann 59 2 0 01 Nov 2023
Differentiable Boustrophedon Paths That Enable Optimization Via Gradient Descent Thomas Manzini Robin Murphy 46 0 0 18 Sep 2023
Generative AI Stefan Feuerriegel Jochen Hartmann Christian Janiesch Patrick Zschech 121 652 0 13 Sep 2023
Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics M. Swan Takashi Kido Eric Roland R. P. D. Santos AI4CE 101 11 0 04 Jul 2023
A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks Arunselvan Ramaswamy S. Bhatnagar Naman Saxena 42 1 0 20 May 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework Jannatul Nayem Sayed Sahriar Hasan Noshin Amina Bristy Das Md. Shahin Ali M. Ahsan S. Raman 64 10 0 08 May 2023
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis Ling Yang Shuihua Wang Yudong Zhang 63 0 0 25 Apr 2023
Structural Neural Additive Models: Enhanced Interpretable Machine Learning Mattias Luber Anton Thielmann Benjamin Säfken 76 8 0 18 Feb 2023
Annotated History of Modern AI and Deep Learning Juergen Schmidhuber MLAU AI4TS AI4CE 63 24 0 21 Dec 2022
Hebbian Deep Learning Without Feedback Adrien Journé Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis AAML 91 54 0 23 Sep 2022
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks David Oniani Sonish Sivarajkumar Yanshan Wang 40 4 0 31 Aug 2022
Gaussian Process Surrogate Models for Neural Networks Michael Y. Li Erin Grant Thomas Griffiths BDL SyDa 92 8 0 11 Aug 2022
Large Language Models and the Reverse Turing Test T. Sejnowski ELM 148 114 0 28 Jul 2022
The Mean Dimension of Neural Networks -- What causes the interaction effects? Roman Hahn Christoph Feinauer E. Borgonovo FAtt 48 2 0 11 Jul 2022
Should attention be all we need? The epistemic and ethical implications of unification in machine learning N. Fishman Leif Hancox-Li 58 10 0 09 May 2022
An Empirical Study of the Occurrence of Heavy-Tails in Training a ReLU Gate Sayar Karmakar Anirbit Mukherjee 41 0 0 26 Apr 2022
A Theory of Natural Intelligence C. Malsburg Thilo Stadelmann Benjamin Grewe 47 2 0 22 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 120 144 0 11 Apr 2022
On the link between conscious function and general intelligence in humans and machines Arthur Juliani Kai Arulkumaran Shuntaro Sasai Ryota Kanai 103 26 0 24 Mar 2022
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning Sharath Girish Debadeepta Dey Neel Joshi Vibhav Vineet S. Shah C. C. T. Mendes Abhinav Shrivastava Yale Song SSL 73 2 0 15 Mar 2022
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications Gourav Datta Souvik Kundu Zihan Yin R. T. Lakkireddy Joe Mathai A. Jacob Peter A. Beerel Akhilesh R. Jaiswal 62 41 0 07 Mar 2022
An Analytical Approach to Compute the Exact Preimage of Feed-Forward Neural Networks Théo Nancy Vassili Maillet Johann Barbier FAtt 14 0 0 28 Feb 2022
Scalable Geometric Deep Learning on Molecular Graphs Nathan C. Frey S. Samsi Joseph McDonald Lin Li Connor W. Coley V. Gadepally GNN AI4CE 60 4 0 06 Dec 2021
Leveraging The Topological Consistencies of Learning in Deep Neural Networks Stuart Synakowski Fabian Benitez-Quiroz Aleix M. Martinez 21 0 0 30 Nov 2021
Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal Spaces Sarah Di Robin Yu Amol Kapoor 23 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 99 21 0 29 Sep 2021
Task Guided Compositional Representation Learning for ZDA Shuang Liu Mete Ozay OOD 76 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 65 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 160 29 0 12 Jul 2021
Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise Nidhin Harilal Udit Bhatia A. Ganguly OOD 35 0 0 23 Jun 2021
Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events Arnob Ray Tanujit Chakraborty D. Ghosh AI4TS 59 29 0 09 Jun 2021
Physics-informed attention-based neural network for solving non-linear partial differential equations R. Torrado Pablo Ruiz L. Cueto‐Felgueroso M. Green Tyler Friesen S. Matringe Julian Togelius PINN 63 12 0 17 May 2021
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto 74 5 0 16 May 2021
A brain basis of dynamical intelligence for AI and computational neuroscience J. Monaco Kanaka Rajan Grace M. Hwang AI4CE 51 6 0 15 May 2021
Demystification of Few-shot and One-shot Learning I. Tyukin A. Gorban Muhammad H. Alkhudaydi Qinghua Zhou 38 15 0 25 Apr 2021
Robust PDF Document Conversion Using Recurrent Neural Networks Nikolaos Livathinos Cesar Berrospi Maksym Lysak Viktor Kuropiatnyk Ahmed Nassar A. Carvalho Michele Dolfi Christoph Auer K. Dinkla Peter W. J. Staar 46 23 0 18 Feb 2021