Akash Gokul

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 175 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it; #17,272 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 46 citations into it
• Generative Models — 19 citations into it
• Meta & Continual Learning — 11 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Statistical and Nonlinear Physics — 9 citations into it; #7,741 of 10,127 by trust here, #7,747 by citations
• Model Architectures — 8 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Akash Gokul trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Kaiming He
6. Yann LeCun
7. Laurent Dinh
8. Ilya Sutskever
9. Karen Simonyan
10. Radford M. Neal

Who trusts Akash Gokul overall

1. Inbar Huberman-Spiegelglas
2. Chenshuang Zhang

Papers from Akash Gokul's perspective

Ordered by how strongly the researchers Akash Gokul trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• EDICT: Exact Diffusion Inversion via Coupled Transformations (2022) — 308 citations
• Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting (2020) — 53 citations