Kalesha Bullard

Artificial Intelligence · 2023–2025

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kalesha Bullard trusts overall

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

  1. Ronald J. Williams

Papers from Kalesha Bullard's perspective

Ordered by how strongly the researchers Kalesha Bullard 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. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers