Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. 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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Year

95 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 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