Ameya Vaidya

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #29,435 of 35,345 by trust here, #31,361 by citations
• Natural Language Processing — 18 citations into it; #4,795 of 5,688 by trust here, #5,296 by citations
• Safety, Robustness & Interpretability — 12 citations into it; #1,857 of 2,251 by trust here, #2,180 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ameya Vaidya trusts overall

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

1. Diederik P. Kingma
2. Yoon Kim
3. Sam Corbett-Davies
4. Geoffrey E. Hinton
5. Thomas Davidson
6. Jimmy Ba
7. Yoshua Bengio
8. R. Caruana
9. Ellery Wulczyn
10. Harini Suresh

Who trusts Ameya Vaidya overall

1. Oguzhan Gencoglu

Papers from Ameya Vaidya's perspective

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

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

Their papers

• Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection (2019) — 23 citations