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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98 results at NeurIPS 2021

Efficient Generalization with Distributionally Robust Learning
- - Soumyadip Ghosh
  - Mark Squillante
  - et al.
- 2021
- NeurIPS 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
- - Yonggan Fu
  - Qixuan Yu
  - et al.
- 2021
- NeurIPS 2021
Cardinality-Regularized Hawkes-Granger Model
- - Ide-San Ide
  - Georgios Kollias
  - et al.
- 2021
- NeurIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
- - Yu-Lin Tsai
  - Chia-Yi Hsu
  - et al.
- 2021
- NeurIPS 2021
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
- - Kuniaki Saito
  - Donghyun Kim
  - et al.
- 2021
- NeurIPS 2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
- - Cheng-I Jeff Lai
  - Yang Zhang
  - et al.
- 2021
- NeurIPS 2021
Predicting Deep Neural Network Generalization with Perturbation Response Curves
- - Yair Schiff
  - Brian Quanz
  - et al.
- 2021
- NeurIPS 2021
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
- - Mattia Atzeni
  - Jasmina Bogojeska
  - et al.
- 2021
- NeurIPS 2021
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
- - Ziv Goldfeld
  - Kristjan Greenewald
- 2021
- NeurIPS 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
- - Akshay Mehra
  - Bhavya Kailkhura
  - et al.
- 2021
- NeurIPS 2021