Training Stronger Baselines for Learning to Optimize
- Tianlong Chen
- Weiyi Zhang
- 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.
Date
Featured collections
Popular topics
81 results at NeurIPS 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
- Tianlong Chen
- Jonathan Frankle
- et al.
- 2020
- NeurIPS 2020
Universal Domain Adaptation through Self Supervision
- Kuniaki Saito
- Donghyun Kim
- et al.
- 2020
- NeurIPS 2020
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
- Ximeng Sun
- Rameswar Panda
- et al.
- 2020
- NeurIPS 2020
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
- Shufan Wang
- Jian Li
- et al.
- 2020
- NeurIPS 2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
- Yonggan Fu
- Haoran You
- et al.
- 2020
- NeurIPS 2020
Continuous Regularized Wasserstein Barycenters
- Lingxiao Li
- Aude Genevay
- et al.
- 2020
- NeurIPS 2020
Optimizing Mode Connectivity via Neuron Alignment
- N. Joseph Tatro
- Pin-Yu Chen
- et al.
- 2020
- NeurIPS 2020
Inductive Quantum Embedding
- Santosh Kumar Srivastava
- Dinesh Khandelwal
- et al.
- 2020
- NeurIPS 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020