Ensembling Graph Predictions for AMR Parsing
- Thanh Lam Hoang
- Gabriele Picco
- et al.
- 2021
- NeurIPS 2021
Publications
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
- Xin Zhang
- Zhuqing Liu
- et al.
- 2021
- NeurIPS 2021
On sensitivity of meta-learning to support data
- Mayank Agarwal
- Mikhail Yurochkin
- et al.
- 2021
- NeurIPS 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
- Yonggan Fu
- Qixuan Yu
- et al.
- 2021
- NeurIPS 2021
Scalable Intervention Target Estimation in Linear Models
- Burak Varici
- Karthikeyan Shanmugam
- et al.
- 2021
- NeurIPS 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
- Ashraful Islam
- Richard Chen
- 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
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
- Reuben Tan
- Bryan Plummer
- et al.
- 2021
- NeurIPS 2021
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
- Kohei Miyaguchi
- 2021
- NeurIPS 2021
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
- Isha Puri
- Amit Dhurandhar
- et al.
- 2021
- NeurIPS 2021