Systems for ML

Workshop on Systems for ML at NeurIPS 2019

December 13, 2019

Schedule

8:30-8:40:     Opening Remarks


Session 1

8:40 - 9:10     Keynote 1: Machine Learning Reproducibility: An update from the NeurIPS 2019 Reproducibility Co-Chairs, Joelle Pineau, McGill University and Facebook

9:10 - 9:30     Contributed Talk: SLIDE : Training Deep Neural Networks with Large Outputs on a CPU faster than a V100-GPU

9:30 - 9:50     Contributed Talk: NeMo: A Toolkit for Building AI Applications Using Neural Modules


Morning Poster Session

9:50 - 10:00:     Poster Overview

10:00 - 11:10     Break and Poster Session


Session 2

11:10 - 11:40     Keynote 2: Balancing Efficiency and Flexibility for DNN Acceleration, Vivienne Sze, MIT

11:40 - 12:00     Contributed Talk: 5 Parallel Prism: A Topology for Pipelined Implementations of Convolutional Neural Networks Using Computational Memory


12:00 - 1:30     Lunch


Systems Bonanza

1:30 - 3:30     Systems Bonanza (10 minutes each)

  • PyTorch
  • TensorFlow
  • Keras
  • TVM
  • Ray
  • ONNX Runtime
  • CoreML
  • Flux
  • MLFlow
  • MLPerf
  • Microsoft RL Systems
  • MXNet

Afternoon Poster Session

3:30 - 4:30     Break and Poster Session


Session 3: Invited Talks

4:30 - 5:00     Keynote 3

5:00 - 5:20     Contributed Talk: LISA: Towards Learned DNA Sequence Search


5:20 - 5:30     Closing Remarks