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

Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
- - Hamid Jalalzai
  - Pierre Colombo
  - et al.
- 2020
- NeurIPS 2020
Finding second-order stationary points efficiently in smooth nonconvex linearly constrained optimization problems
- - Songtao Lu
  - Meisam Razaviyayn
  - et al.
- 2020
- NeurIPS 2020
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
- - Ziv Goldfeld
  - Kristjan Greenewald
  - et al.
- 2020
- NeurIPS 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
- - Han Cai
  - Chuang Gan
  - et al.
- 2020
- NeurIPS 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
- - Xiao Sun
  - Naigang Wang
  - et al.
- 2020
- NeurIPS 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- - Chia-Yu Chen
  - Jiamin Ni
  - et al.
- 2020
- NeurIPS 2020
Model Agnostic Learning of Multilevel Explanations
- - Karthikeyan Natesan Ramamurthy
  - Bhanu Vinzamuri
  - et al.
- 2020
- NeurIPS 2020
IBM Federated Learning Community Edition: An Interactive Demonstration
- - Laura Wynter
- 2020
- NeurIPS 2020
Shared Interest: Human Annotations vs. AI Saliency
- - Angie Boggust
  - Benjamin Hoover
  - et al.
- 2020
- NeurIPS 2020
AI Assisted Data Labeling
- - Michael Desmond
  - Evelyn Duesterwald
  - et al.
- 2020
- NeurIPS 2020