A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- Kai Xu
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Conference paper
Publications
98 results at NeurIPS 2021
Memory-efficient Patch-based Inference for Tiny Deep Learning
- Ji Lin
- Wei-Ming Chen
- et al.
- 2021
- NeurIPS 2021
Conference paperSafe Policy Optimization with Local Generalized Linear Function Approximations
- Akifumi Wachi
- Yunyue Wei
- et al.
- 2021
- NeurIPS 2021
Conference paperTargeted Neural Dynamical Modeling
- Cole Hurwitz
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Conference paperPost-processing for Individual Fairness
- Felix Petersen
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Conference paperWhy Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2021
- NeurIPS 2021
Conference paper3DP3: 3D Scene Perception via Probabilistic Programming
- Nishad Gothoskar
- Marco Cusumano-Towner
- et al.
- 2021
- NeurIPS 2021
Conference paperAdaptive Proximal Gradient Methods for Structured Neural Networks
- Jihun Yun
- Aurelie Lozano
- et al.
- 2021
- NeurIPS 2021
Conference paperUnderstanding Interlocking Dynamics of Cooperative Rationalization
- Mo Yu
- Yang Zhang
- et al.
- 2021
- NeurIPS 2021
Conference paperRobust Deep Reinforcement Learning through Adversarial Loss
- Tuomas Oikarinen
- Wang Zhang
- et al.
- 2021
- NeurIPS 2021
Conference paper