Traian Rebedea

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 3 papers; trusts 68 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it; #25,278 of 35,345 by trust here, #24,417 by citations
• Reinforcement Learning — 19 citations into it
• Natural Language Processing — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Information Systems — 5 citations into it

Whom Traian Rebedea trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Richard S. Sutton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. J. Urgen Schmidhuber
8. Sepp Hochreiter
9. Volodymyr Mnih
10. Alex Graves

Who trusts Traian Rebedea overall

1. Tim Salimans
2. Evan Zheran Liu
3. Sanmit Narvekar
4. Todd Hester
5. Richard J. Chen

Papers from Traian Rebedea's perspective

Ordered by how strongly the researchers Traian Rebedea 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay (2016) — 107 citations
• Improving Retrieval-Based Question Answering with Deep Inference Models (2018) — 11 citations
• NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails (2023) — 423 citations