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

Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
- - Shashanka Ubaru
  - Sanjeeb Dash
  - et al.
- 2020
- NeurIPS 2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
- - Minh Hoang
  - Trong Nghia Hoang
  - et al.
- 2020
- NeurIPS 2020
Higher-Order Certification For Randomized Smoothing
- - Jeet Mohapatra; Ching-Yun Ko
  - Tsui-Wei Weng
  - et al.
- 2020
- NeurIPS 2020
Model Agnostic Multilevel Explanations
- - Karthikeyan Natesan Ramamurthy
  - Bhanukiran Vinzamuri
  - et al.
- 2020
- NeurIPS 2020
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
- - Ping Hu
  - Stan Sclaroff
  - et al.
- 2020
- NeurIPS 2020
SnapBoost: A Heterogeneous Boosting Machine
- - Thomas Parnell
  - Andreea Anghel
  - et al.
- 2020
- NeurIPS 2020
Impossibility Results for Grammar-Compressed Linear Algebra
- - Amir Abboud
  - Arturs Backurs
  - et al.
- 2020
- NeurIPS 2020
MCUNet: Tiny Deep Learning on IoT Devices
- - Ji Lin
  - Wei-Ming Chen
  - et al.
- 2020
- NeurIPS 2020
Learning Global Transparent Models consistent with Local Contrastive Explanations
- - Tejaswini Pedapati
  - Avinash Balakrishnan
  - et al.
- 2020
- NeurIPS 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
- - Dennis Wei
  - Tian Gao
  - et al.
- 2020
- NeurIPS 2020