Keerthana Gopalakrishnan

Artificial Intelligence · 2022–2025

A researcher in the Science corpus: 7 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keerthana Gopalakrishnan trusts

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

  1. Sergey Levine (in Artificial Intelligence)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Jitendra Malik (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  8. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  9. Pieter Abbeel (in Artificial Intelligence)
  10. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Keerthana Gopalakrishnan's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)

Their papers