Chinmay Hegde

Artificial Intelligence · with Feuer · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chinmay Hegde trusts

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

  1. Jerome H. Friedman (in Artificial Intelligence)
  2. J. Ross Quinlan (in Artificial Intelligence)

Papers from Chinmay Hegde's perspective

Ordered by how strongly the researchers Chinmay Hegde 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. Attention is All you Need (Neural Information Processing Systems)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Human-level control through deep reinforcement learning
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  8. XGBoost: A Scalable Tree Boosting System
  9. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  10. Greedy function approximation: A gradient boosting machine.

Their papers