Reprogramming Language Models for Molecular Representation Learning
- Ria Vinod
- Pin-Yu Chen
- et al.
- 2020
- NeurIPS 2020
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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81 results at NeurIPS 2020
Optimal Policies for the Homogeneous Selective Labels Problem
- 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
Monitoring the Impact of Wildfires on Tree Species with Deep Learning
- Wang Zhou
- Levente Klein
- 2020
- NeurIPS 2020
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
- Chulin Wang
- Eloisa Bentivegna
- et al.
- 2020
- NeurIPS 2020
Data augmentation strategies to improve reaction yield predictions and estimate uncertainty
- Philippe Schwaller
- Alain Vaucher
- et al.
- 2020
- NeurIPS 2020
Explainable Link Prediction for Privacy-Preserving Contact Tracing
- Balaji Ganesan
- Hima Patel
- et al.
- 2020
- NeurIPS 2020
Investigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR
- Campbell Watson
- Chulin Wang
- et al.
- 2020
- NeurIPS 2020