Deep Learning: A Critical Appraisal

2 January 2018

Papers citing "Deep Learning: A Critical Appraisal"

50 / 124 papers shown

Title
Neuro-Symbolic Hierarchical Rule Induction Claire Glanois Xuening Feng Zhaohui Jiang Paul Weng Matthieu Zimmer Dong Li Wulong Liu NAI 36 23 0 26 Dec 2021
Balancing Fairness and Robustness via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 36 1 0 17 Dec 2021
Logical Boltzmann Machines Son N. Tran Artur Garcez 30 3 0 10 Dec 2021
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities Indranil Pan L. Mason Omar K. Matar AI4CE 44 45 0 07 Nov 2021
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training Valerio Biscione J. Bowers 51 13 0 04 Oct 2021
Target Languages (vs. Inductive Biases) for Learning to Act and Plan Hector Geffner 42 6 0 15 Sep 2021
A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman Problem U. Mele L. Gambardella R. Montemanni 27 13 0 17 Aug 2021
Machine Learning Constructives and Local Searches for the Travelling Salesman Problem Tommaso Vitali U. Mele L. Gambardella R. Montemanni 37 4 0 02 Aug 2021
Quantum Artificial Intelligence for the Science of Climate Change Manmeet Singh C. Dhara Adarsh Kumar S. Gill Steve Uhlig AI4CE 22 15 0 28 Jul 2021
Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors T. Sakai SSL 22 0 0 21 Jun 2021
An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19 Mahesh Raveendranatha Panicker Yale Tung Chen Gayathri Malamal N. MadhavanunniA. K. Narayan C. Kesavadas A. P. Vinod 26 2 0 13 Jun 2021
Learning First-Order Representations for Planning from Black-Box States: New Results I. D. Rodriguez Blai Bonet J. Romero Hector Geffner NAI 17 22 0 23 May 2021
Revisiting Citizen Science Through the Lens of Hybrid Intelligence J. Rafner M. Gajdacz Gitte Kragh A. Hjorth A. Gander ... J. Miller Dominik Dellerman M. Haklay Pietro Michelucci J. Sherson 16 13 0 30 Apr 2021
Fast Jacobian-Vector Product for Deep Networks Randall Balestriero Richard Baraniuk 31 4 0 01 Apr 2021
B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows Florenc Demrozi Cristian Turetta G. Pravadelli 25 8 0 23 Jan 2021
Hybrid FEM-NN models: Combining artificial neural networks with the finite element method Sebastian K. Mitusch S. Funke M. Kuchta AI4CE 33 93 0 04 Jan 2021
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning Stefanos Tsimenidis 25 12 0 22 Dec 2020
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification M. Al-Shabi Kelvin Shak Maxine Tan 19 53 0 29 Oct 2020
Learning Contextualized Knowledge Structures for Commonsense Reasoning Jun Yan Mrigank Raman Aaron Chan Tianyu Zhang Ryan Rossi Handong Zhao Sungchul Kim Nedim Lipka Xiang Ren 231 36 0 24 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 30 45 0 13 Oct 2020
Deep matrix factorizations Pierre De Handschutter Nicolas Gillis Xavier Siebert BDL 30 40 0 01 Oct 2020
Logic Programming and Machine Ethics Abeer Dyoub Stefania Costantini F. Lisi 14 11 0 22 Sep 2020
Linear Optimal Transport Embedding: Provable Wasserstein classification for certain rigid transformations and perturbations Caroline Moosmüller A. Cloninger OT 25 43 0 20 Aug 2020
An Ensemble of Convolutional Neural Networks for Audio Classification L. Nanni Gianluca Maguolo S. Brahnam M. Paci 19 86 0 15 Jul 2020
Deep Learning for Abstract Argumentation Semantics Dennis Craandijk Floris Bex SSeg 24 30 0 15 Jul 2020
Detecting unusual input to neural networks Jörg Martin Clemens Elster AAML 17 7 0 15 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 51 83 0 10 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study Biao Gao Yancheng Pan Chengkun Li Sibo Geng Huijing Zhao 3DPC 21 25 0 08 Jun 2020
Analyzing Differentiable Fuzzy Implications Emile van Krieken Erman Acar F. V. Harmelen AI4CE 26 29 0 04 Jun 2020
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition Mahsan Nourani Chiradeep Roy Tahrima Rahman Eric D. Ragan Nicholas Ruozzi Vibhav Gogate AAML 15 17 0 05 May 2020
Neural Networks and Value at Risk Alexander Arimond Damian Borth Andreas G. F. Hoepner M. Klawunn S. Weisheit 8 8 0 04 May 2020
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey Florenc Demrozi G. Pravadelli A. Bihorac Parisa Rashidi 22 233 0 19 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 93 1,935 0 11 Apr 2020
Autonomous discovery in the chemical sciences part II: Outlook Connor W. Coley Natalie S. Eyke K. Jensen 29 171 0 30 Mar 2020
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks Karan Sikka Andrew Silberfarb John Byrnes Indranil Sur Edmond Chow Ajay Divakaran R. Rohwer NAI 19 11 0 16 Mar 2020
Learning Compositional Rules via Neural Program Synthesis Maxwell Nye Armando Solar-Lezama J. Tenenbaum Brenden M. Lake NAI LRM 28 117 0 12 Mar 2020
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning Zhiyuan Fang Tejas Gokhale Pratyay Banerjee Chitta Baral Yezhou Yang 23 60 0 11 Mar 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 32 355 0 14 Feb 2020
A Hierarchy of Limitations in Machine Learning M. Malik 15 55 0 12 Feb 2020
Interpretation and Simplification of Deep Forest Sangwon Kim Mira Jeong ByoungChul Ko FAtt 19 8 0 14 Jan 2020
Location Attention for Extrapolation to Longer Sequences Yann Dubois Gautier Dagan Dieuwke Hupkes Elia Bruni 23 40 0 10 Nov 2019
Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcome Philippe Vincent-Lamarre V. Larivière 14 20 0 21 Oct 2019
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning Jingjing Wang Changlong Sun Shoushan Li Jiancheng Wang Luo Si Min Zhang Xiaozhong Liu Guodong Zhou 30 22 0 21 Oct 2019
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data Xiaozhe Gu Arvind Easwaran 11 29 0 11 Sep 2019
Artificial intelligence empowered multi-AGVs in manufacturing systems Dong Li Bojun Ouyang Duanpo Wu Yaonan Wang 17 11 0 08 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 34 70 0 08 Sep 2019
Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence C. Greco A. Polonioli Jacopo Tagliabue 23 4 0 22 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 72 2,161 0 05 Jul 2019
Compositional generalization through meta sequence-to-sequence learning Brenden M. Lake CoGe 32 196 0 12 Jun 2019
Unsupervised Model Selection for Variational Disentangled Representation Learning Sunny Duan Loic Matthey Andre Saraiva Nicholas Watters Christopher P. Burgess Alexander Lerchner I. Higgins OOD DRL 11 78 0 29 May 2019