Rohun Kulkarni

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Reinforcement Learning — 58 citations into it

Whom Rohun Kulkarni trusts overall

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

1. Diederik P. Kingma

Papers from Rohun Kulkarni's perspective

Ordered by how strongly the researchers Rohun Kulkarni 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet: A large-scale hierarchical image database
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
7. ImageNet classification with deep convolutional neural networks
8. MuJoCo: A physics engine for model-based control
9. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• What Matters in Learning from Offline Human Demonstrations for Robot Manipulation (2021) — 937 citations