StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
- Leonid Karlinsky
- Joseph Shtok
- et al.
- 2021
- AAAI 2021
Publications
Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective
- Chao Xue
- Xiaoxing Wang
- et al.
- 2021
- AAAI 2021
Learning the Parameters of Bayesian Networks from Uncertain Data
- Segev Wasserkrug
- Radu Marinescu
- et al.
- 2021
- AAAI 2021
Improved Mutual Information Estimation
- Youssef Mroueh
- Igor Melnyk
- et al.
- 2021
- AAAI 2021
Outlier Impact Characterization for Time Series Data
- Jianbo Li
- Lecheng Zheng
- et al.
- 2021
- AAAI 2021
Searching for Machine Learning Pipelines Using a Context-Free Grammar
- Radu Marinescu
- Akihiro Kishimoto
- et al.
- 2021
- AAAI 2021
Game of Gradients: Mitigating Irrelevant clients in Federated Learning
- Lokesh Nagalapatti
- Ramasuri Narayanam
- 2021
- AAAI 2021
Ontology-Enriched Query Answering on Relational Databases
- Shqiponja Ahmetaj
- Vasilis Efthymiou
- et al.
- 2021
- AAAI 2021
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering
- Ibrahim Abdelaziz
- Srinivas Ravishankar
- et al.
- 2021
- AAAI 2021
VEGA: A Virtual Environment For Exploring Gender Bias vs. Accuracy Trade-Offs In AI Translation Services
- Mariana Bernagozzi
- Biplav Srivastava
- et al.
- 2021
- AAAI 2021