Predicting Deep Neural Network Generalization with Perturbation Response Curves
- Yair Schiff
- Brian Quanz
- et al.
- 2021
- NeurIPS 2021
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SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
- Mattia Atzeni
- Jasmina Bogojeska
- et al.
- 2021
- NeurIPS 2021
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
- Ziv Goldfeld
- Kristjan Greenewald
- 2021
- NeurIPS 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
- Akshay Mehra
- Bhavya Kailkhura
- et al.
- 2021
- NeurIPS 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
- Yifan Jiang
- Shiyu Chang
- et al.
- 2021
- NeurIPS 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
- Xin Zhang
- Zhuqing Liu
- et al.
- 2021
- NeurIPS 2021
Sequence-to-Sequence Learning with Latent Neural Grammars
- Yoon Kim
- 2021
- NeurIPS 2021
Separation results between fixed-kernel and feature-learning probability metrics
- Carles Domingo-Enrich
- Youssef Mroueh
- 2021
- NeurIPS 2021
Scalable Intervention Target Estimation in Linear Models
- Burak Varici
- Karthikeyan Shanmugam
- et al.
- 2021
- NeurIPS 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations
- Akifumi Wachi
- Yunyue Wei
- et al.
- 2021
- NeurIPS 2021