Publications

Predicting Deep Neural Network Generalization with Perturbation Response Curves
- - Yair Schiff
  - Brian Quanz
  - et al.
- 2021
- NeurIPS 2021
Sequence-to-Sequence Learning with Latent Neural Grammars
- - Yoon Kim
- 2021
- NeurIPS 2021
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
- - Kuniaki Saito
  - Donghyun Kim
  - et al.
- 2021
- NeurIPS 2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
- - Joel Dapello
  - Jenelle Feather
  - et al.
- 2021
- NeurIPS 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
- - Michael Boratko
  - Dongxu Zhang
  - et al.
- 2021
- NeurIPS 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
- - Akshay Mehra
  - Bhavya Kailkhura
  - et al.
- 2021
- NeurIPS 2021
Private learning implies quantum stability
- - Srinivasan Arunachalam
  - Yihui Quek
  - 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
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
- - Aadarsh Sahoo
  - Rutav Shah
  - et al.
- 2021
- NeurIPS 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
- - Ashraful Islam
  - Richard Chen
  - et al.
- 2021
- NeurIPS 2021