Matthew J. Hoffman

with Barth-Maron · 2021

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

Whom Matthew J. Hoffman trusts

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

  1. Muthu Dayalan (in Information Systems)

Papers from Matthew J. Hoffman's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Asynchronous Methods for Deep Reinforcement Learning
  3. Automatic differentiation in PyTorch
  4. Caffe: Convolutional Architecture for Fast Feature Embedding
  5. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  6. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
  7. Large Scale GAN Training for High Fidelity Natural Image Synthesis
  8. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
  9. Natural Evolution Strategies
  10. Ray: A Distributed Framework for Emerging AI Applications

Their papers