A Bayesian Account of Measures of Interpretability in Human-AI Interaction
- Sarath Sreedharan
- Anagha Kulkarni
- et al.
- 2020
- NeurIPS 2020
Workshop paper
Publications
960 results for Trustworthy AI
Explainable Link Prediction for Privacy-Preserving Contact Tracing
- Balaji Ganesan
- Hima Patel
- et al.
- 2020
- NeurIPS 2020
Workshop paperLearning to Design Fair and Private Voting Rules
- Farhad Mohsin
- Ao Liu
- et al.
- 2020
- NeurIPS 2020
Workshop paperOptimal Policies for the Homogeneous Selective Labels Problem
- 2020
- NeurIPS 2020
Workshop paperFAT: Federated Adversarial Training
- 2020
- NeurIPS 2020
Workshop paperReprogramming Language Models for Molecular Representation Learning
- Ria Vinod
- Pin-Yu Chen
- et al.
- 2020
- NeurIPS 2020
Workshop paperStealthy Poisoning Attack on Certified Robustness
- Akshay Mehra
- Bhavya Kailkhura
- et al.
- 2020
- NeurIPS 2020
Workshop paperCertified Interpretability Robustness for Class Activation Mapping
- Alex Gu
- Tsui-Wei Weng
- et al.
- 2020
- NeurIPS 2020
Workshop paperA framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions
- Iain Barclay
- Harrison Taylor
- et al.
- 2020
- Concurrency Computation
PaperDualTKB: A Dual Learning Bridge between Text and Knowledge Base
- Pierre Dognin
- Igor Melnyk
- et al.
- 2020
- EMNLP 2020
Conference paper