Lovedeep Gondara
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 108 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it; #4,790 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 11 citations into it; #18,632 of 35,345 by trust here, #31,361 by citations
- Media Technology — 6 citations into it; #519 of 3,621 by trust here, #2,820 by citations
- Optimization & Training — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Lovedeep Gondara trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pascal Vincent
- Yoshua Bengio
- Barbara Olshausen
- Geoffrey E. Hinton
- Hugo Larochelle
- Donald B. Rubin
- Michael Elad
- Alex Krizhevsky
- Lyle Ungar
- Ilya Sutskever
Who trusts Lovedeep Gondara overall
- Mufti Mahmud
- Adnan Qayyum
- Lei Xu
- David Charte
- Zeynettin Akkus
- Hsin-Tien Chiang
- Y. Li
- Bilal Mirza
- Junaid Qadir
- M. S. Kaiser
Papers from Lovedeep Gondara's perspective
Ordered by how strongly the researchers Lovedeep Gondara trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- MIDA: Multiple Imputation Using Denoising Autoencoders (2017) — 289 citations
- Medical Image Denoising Using Convolutional Denoising Autoencoders (2016) — 641 citations