Memory-efficient Patch-based Inference for Tiny Deep Learning
- Ji Lin
- Wei-Ming Chen
- et al.
- 2021
- NeurIPS 2021
Publications
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- Kai Xu
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Ensembling Graph Predictions for AMR Parsing
- Thanh Lam Hoang
- Gabriele Picco
- et al.
- 2021
- NeurIPS 2021
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
- Kuniaki Saito
- Donghyun Kim
- et al.
- 2021
- NeurIPS 2021
Efficient Generalization with Distributionally Robust Learning
- Soumyadip Ghosh
- Mark Squillante
- et al.
- 2021
- NeurIPS 2021
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
- Kohei Miyaguchi
- 2021
- NeurIPS 2021
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
- Chuang Gan
- Jeremy Schwartz
- et al.
- 2021
- NeurIPS 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
- Michael Boratko
- Dongxu Zhang
- et al.
- 2021
- NeurIPS 2021
On sensitivity of meta-learning to support data
- Mayank Agarwal
- Mikhail Yurochkin
- et al.
- 2021
- NeurIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- NeurIPS 2021