Tim Harris

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Harris trusts

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

  1. Matei A. Zaharia (in Artificial Intelligence)
  2. A. Aiken (in Artificial Intelligence)

Papers from Tim Harris's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. One weird trick for parallelizing convolutional neural networks
  3. Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity (Journal of machine learning research)
  4. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  5. TensorFlow: A system for large-scale machine learning
  6. Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
  7. ZeRO: Memory Optimization Towards Training A Trillion Parameter Models
  8. GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
  9. PipeDream: generalized pipeline parallelism for DNN training
  10. Device Placement Optimization with Reinforcement Learning (International Conference on Machine Learning)

Their papers