Publications

3DP3: 3D Scene Perception via Probabilistic Programming
- - Nishad Gothoskar
  - Marco Cusumano-Towner
  - 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
Separation results between fixed-kernel and feature-learning probability metrics
- - Carles Domingo-Enrich
  - Youssef Mroueh
- 2021
- NeurIPS 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
- - Ashraful Islam
  - Richard Chen
  - et al.
- 2021
- NeurIPS 2021
Causal Inference for Event Pairs in Multivariate Point Processes
- - Tian Gao
  - Shankar Subramaniam
  - et al.
- 2021
- NeurIPS 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
- - Yifan Jiang
  - Shiyu Chang
  - et al.
- 2021
- NeurIPS 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
- - Akshay Mehra
  - Bhavya Kailkhura
  - et al.
- 2021
- NeurIPS 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- - Shuai Zhang
  - Meng Weng
  - et al.
- 2021
- NeurIPS 2021
Predicting Deep Neural Network Generalization with Perturbation Response Curves
- - Yair Schiff
  - Brian Quanz
  - et al.
- 2021
- NeurIPS 2021
On sensitivity of meta-learning to support data
- - Mayank Agarwal
  - Mikhail Yurochkin
  - et al.
- 2021
- NeurIPS 2021