Publications

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
- - Yifan Jiang
  - Shiyu Chang
  - 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
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- - Kai Xu
  - Akash Srivastava
  - et al.
- 2021
- NeurIPS 2021
Scalable Intervention Target Estimation in Linear Models
- - Burak Varici
  - Karthikeyan Shanmugam
  - et al.
- 2021
- NeurIPS 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
- - Geng Yuan
  - Xialong Ma
  - et al.
- 2021
- NeurIPS 2021
Does enforcing fairness mitigate biases caused by subpopulation shift?
- - Subha Maity
  - Debarghya Mukherjee
  - et al.
- 2021
- NeurIPS 2021
STAR: A Benchmark for Situated Reasoning in Real-World Videos
- - Bo Wu
  - Shoubin Yu
  - et al.
- 2021
- NeurIPS 2021
Measuring Generalization with Optimal Transport
- - Ching-Yao Chuang
  - Youssef Mroueh
  - et al.
- 2021
- NeurIPS 2021
Ensembling Graph Predictions for AMR Parsing
- - Thanh Lam Hoang
  - Gabriele Picco
  - et al.
- 2021
- NeurIPS 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
- - Rong Zhu
  - Mattia Rigotti
- 2021
- NeurIPS 2021