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
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
- Mingyu Ding
- Zhenfang Chen
- et al.
- 2021
- NeurIPS 2021
Conference paperPost-processing for Individual Fairness
- Felix Petersen
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Conference paperOn sensitivity of meta-learning to support data
- Mayank Agarwal
- Mikhail Yurochkin
- et al.
- 2021
- NeurIPS 2021
Conference paperSTAR: A Benchmark for Situated Reasoning in Real-World Videos
- Bo Wu
- Shoubin Yu
- et al.
- 2021
- NeurIPS 2021
Conference paperCatastrophic Data Leakage in Vertical Federated Learning
- Xiao Jin
- Pin-Yu Chen
- et al.
- 2021
- NeurIPS 2021
Conference paperRobust Deep Reinforcement Learning through Adversarial Loss
- Tuomas Oikarinen
- Wang Zhang
- et al.
- 2021
- NeurIPS 2021
Conference paperMemory-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 paperPredicting Deep Neural Network Generalization with Perturbation Response Curves
- Yair Schiff
- Brian Quanz
- et al.
- 2021
- NeurIPS 2021
Conference paper