Vikrant Goel
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #28,640 of 35,345 by trust here, #23,731 by citations
- Reinforcement Learning — 19 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it; #17,605 of 21,575 by trust here, #15,529 by citations
- Representation & Self-Supervised Learning — 5 citations into it
Whom Vikrant Goel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yann LeCun
- Volodymyr Mnih
- John Schulman
- Yoshua Bengio
- Richard S. Sutton
- Jimmy Ba
- Ronald J. Williams
- Alex Krizhevsky
Who trusts Vikrant Goel overall
- Eric Crawford
- Xingyu Lin
- Shervin Minaee
- Yuhang Song
- Tejas D. Kulkarni
- Joelle Pineau
- Harjatin Singh Baweja
- Yuri Boykov
- Jianyi Wang
- Ankush Gupta
Papers from Vikrant Goel's perspective
Ordered by how strongly the researchers Vikrant Goel 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Unsupervised Video Object Segmentation for Deep Reinforcement Learning (2018) — 72 citations