Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning
- Lokesh Nagalapatti
- Ruhi Sharma Mittal
- et al.
- 2022
- AAAI 2022
Publications
Improved Text Classification via Contrastive Adversarial Training
- Lin Pan
- Chung-Wei Hang
- et al.
- 2022
- AAAI 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
- Aosong Feng
- Chenyu You
- et al.
- 2022
- AAAI 2022
Enhancing Counterfactual Classification Performance via Self-Training
- Ruijiang Gao
- Max Biggs
- et al.
- 2022
- AAAI 2022
Vision Transformers are Robust Learners
- Sayak Paul
- Pin-Yu Chen
- 2022
- AAAI 2022
Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding
- Ibrahim Abdelaziz
- Julian Dolby
- et al.
- 2022
- AAAI 2022
Bounding Quality in Diverse Planning
- 2022
- AAAI 2022
Directed Graph Auto-Encoders
- Georgios Kollias
- Vasileios Kalantzis
- et al.
- 2022
- AAAI 2022
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
- Akihiro Kishimoto
- Djallel Bouneffouf
- et al.
- 2022
- AAAI 2022
Training a Resilient Q-network against Observational Interference
- Chao-Han Huck Yang
- I. Te Danny Hung
- et al.
- 2022
- AAAI 2022