Publications

98 results at NeurIPS 2021

A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- - Kai Xu
  - Akash Srivastava
  - et al.
- 2021
- NeurIPS 2021
Targeted Neural Dynamical Modeling
- - Cole Hurwitz
  - Akash Srivastava
  - 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
Understanding Interlocking Dynamics of Cooperative Rationalization
- - Mo Yu
  - Yang Zhang
  - et al.
- 2021
- NeurIPS 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
- - Mingyu Ding
  - Zhenfang Chen
  - et al.
- 2021
- NeurIPS 2021
Causal Inference for Event Pairs in Multivariate Point Processes
- - Tian Gao
  - Shankar Subramaniam
  - et al.
- 2021
- NeurIPS 2021
Memory-efficient Patch-based Inference for Tiny Deep Learning
- - Ji Lin
  - Wei-Ming Chen
  - et al.
- 2021
- NeurIPS 2021
Learning with Algorithmic Supervision via Continuous Relaxations
- - Felix Petersen
  - Christian Borgelt
  - et al.
- 2021
- NeurIPS 2021
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning
- - Yining Hong
  - Li Yi
  - et al.
- 2021
- NeurIPS 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- - Lijie Fan
  - Sijia Liu
  - et al.
- 2021
- NeurIPS 2021