A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- Kai Xu
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Publications
98 results at 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
On sensitivity of meta-learning to support data
- Mayank Agarwal
- Mikhail Yurochkin
- et al.
- 2021
- NeurIPS 2021
Learning with Algorithmic Supervision via Continuous Relaxations
- Felix Petersen
- Christian Borgelt
- et al.
- 2021
- NeurIPS 2021
Targeted Neural Dynamical Modeling
- Cole Hurwitz
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Private learning implies quantum stability
- Srinivasan Arunachalam
- Yihui Quek
- et al.
- 2021
- NeurIPS 2021
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
- Isha Puri
- Amit Dhurandhar
- et al.
- 2021
- NeurIPS 2021
Post-processing for Individual Fairness
- Felix Petersen
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- Ruchir Puri
- David Kung
- 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