Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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Machine Learning

1328 results for Machine Learning

Completion of partial reaction equations
- - Alain Vaucher
  - Philippe Schwaller
  - et al.
- 2020
- NeurIPS 2020
FAT: Federated Adversarial Training
- - Giulio Zizzo
  - Ambrish Rawat
  - et al.
- 2020
- NeurIPS 2020
Long-Range Seasonal Forecasting of 2m Temperature with Machine Learning
- - Etienne Eben Vos
  - Ashley Daniel Gritzman
  - et al.
- 2020
- NeurIPS 2020
Practical application improvement to Quantum SVM: theory to practice
- - Jae-eun Park
  - Brian Quanz
  - et al.
- 2020
- NeurIPS 2020
Comparing Fisher Information Regularization with Distillation for DNN Quantization
- - Prad Kadambi
  - Karthikeyan Natesan Ramamurthy
  - et al.
- 2020
- NeurIPS 2020
Reprogramming Language Models for Molecular Representation Learning
- - Ria Vinod
  - Pin-Yu Chen
  - et al.
- 2020
- NeurIPS 2020
Optimal Policies for the Homogeneous Selective Labels Problem
- - Dennis Wei
- 2020
- NeurIPS 2020
Quality Estimation & Interpretability for Code Translation
- - Mayank Agarwal
  - Kartik Talamadupula
  - et al.
- 2020
- NeurIPS 2020
Orthogonal Laguerre Recurrent Neural Networks
- - Sergio Dorado Rojas
  - Bhanu Vinzamuri
- 2020
- NeurIPS 2020
Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks
- - Modestas Filipavicius
  - Matteo Manica
  - et al.
- 2020
- NeurIPS 2020