Deep representation learning: Fundamentals, Perspectives, Applications,
and Open Challenges

Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges

27 November 2022

Amirreza Payandeh

Pooya Fayyazsanavi

Somayeh Bakhtiari Ramezani

Papers citing "Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges"

19 / 19 papers shown

Title
ResAD: A Simple Framework for Class Generalizable Anomaly Detection Xincheng Yao Z. Chen Chao Gao Guangtao Zhai Chongyang Zhang 21 0 0 26 Oct 2024
Toward Human-Like Social Robot Navigation: A Large-Scale, Multi-Modal, Social Human Navigation Dataset Duc M. Nguyen Mohammad Nazeri Amirreza Payandeh A. Datar Xuesu Xiao 44 29 0 27 Mar 2023
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding Negar Nejatishahidin Pooya Fayyazsanavi 3DPC 13 0 0 04 Dec 2022
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 67 193 0 31 May 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 70 175 0 23 May 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
How Framelets Enhance Graph Neural Networks Xuebin Zheng Bingxin Zhou Junbin Gao Yu Guang Wang Pietro Lió Ming Li Guido Montúfar 48 69 0 13 Feb 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 249 1,982 0 28 Jul 2020
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 177 1,234 0 22 Jul 2020
Natural Language Processing Advancements By Deep Learning: A Survey A. Torfi Rouzbeh A. Shirvani Yaser Keneshloo Nader Tavvaf Edward A. Fox AI4CE VLM 76 158 0 02 Mar 2020
Deep learning for cardiac image segmentation: A review C. L. P. Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 44 664 0 09 Nov 2019
Probabilistic FastText for Multi-Sense Word Embeddings Ben Athiwaratkun A. Wilson Anima Anandkumar 10 136 0 07 Jun 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,544 0 19 Feb 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,435 0 26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,687 0 17 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013