Learning Physical Dynamics with Subequivariant Graph Neural Networks
- Jiaqi Han
- Wenbing Huang
- et al.
- 2022
- NeurIPS 2022
Conference paper
Publications
97 results at NeurIPS 2022
Fairness Reprogramming
- Guanhua Zhang
- Yihua Zhang
- et al.
- 2022
- NeurIPS 2022
Conference paperNeural Approximation of Graph Topological Features
- Zuoyu Yan
- Tengfei Ma
- et al.
- 2022
- NeurIPS 2022
Conference paperOn-Device Training Under 256KB Memory
- Ji Lin
- Ligeng Zhu
- et al.
- 2022
- NeurIPS 2022
Conference paperTranscormer: Transformer for Sentence Scoring with Sliding Language Modeling
- Kaitao Song
- Yichong Leng
- et al.
- 2022
- NeurIPS 2022
Conference paperVRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
- Che Wang
- Xufang Luo
- et al.
- 2022
- NeurIPS 2022
Conference paperA Text-based Safety Benchmark for Reinforcement Learning Problems
- Ngoc Lan Hoang
- Nicolas Galichet
- et al.
- 2022
- NeurIPS 2022
PosterThe Missing Invariance Principle Found - the Reciprocal Twin of Invariant Risk Minimization
- Ben Huh
- Avinash Baidya
- 2022
- NeurIPS 2022
Posterk-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2022
- NeurIPS 2022
PosterDiagonal State Spaces are as Effective as Structured State Spaces
- Ankit Gupta
- Albert Gu
- et al.
- 2022
- NeurIPS 2022
Poster