Parth Kothari

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Representation & Self-Supervised Learning — 23 citations into it

Whom Parth Kothari trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Sergey Ioffe
5. Ross B. Girshick
6. Yoshua Bengio
7. Yann LeCun
8. Christian Szegedy
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Parth Kothari overall

1. Shuaicheng Niu

Papers from Parth Kothari's perspective

Ordered by how strongly the researchers Parth Kothari 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? (2021) — 453 citations