Tushar Jain

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Reinforcement Learning — 21 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• LLM Agents & Tool Use — 5 citations into it
• Natural Language Processing — 5 citations into it

Whom Tushar Jain trusts overall

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

1. Ronald J. Williams
2. Yoshua Bengio
3. Sepp Hochreiter
4. Yedid Hoshen
5. Geoffrey E. Hinton
6. Dzmitry Bahdanau
7. J. Urgen Schmidhuber
8. Jakob N. Foerster
9. Diederik P. Kingma
10. Kyunghyun Cho

Who trusts Tushar Jain overall

1. Abhishek Das

Papers from Tushar Jain's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
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. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks (2018) — 319 citations