Attending Program

2-6pm, Room 143C, February 13th, 2023, Washington DC Convention Center, USA

2:00 – 2:10 pm Opening Remarks
2:10 – 2:40 pm Keynote Talk 1
Dr. Audun Jøsang, University of Oslo, Norway
2:40 – 3:40 pm Accepted Paper Talks 1
  • [Paper ID: 3] Uncertainty Estimation in Deterministic Vision Transformer.
  • [Paper ID: 6] How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection.
  • [Paper ID: 7] Few-Shot Out of Domain Intent Detection with Covariance Corrected Mahalanobis Distance.
  • [Paper ID: 13] Uncertainty-Aware Data Augmentation for Offline Reinforcement Learning.
  • [Paper ID: 14] Knowledge-enhanced Prompt for Open-domain Commonsense Reasoning.
3:40 – 4:10 pm Keynote Talk 2
Dr. Lance Kaplan, Army Research Laboratory
4:10 – 4:40 pm Keynote Talk 3
Dr. Christopher A. White, NEC Laboratories America
4:40 – 5:40 pm Accepted Paper Talks 2
  • [Paper ID: 15] A Batch Bayesian Approach for Bilevel Multi-Objective Decision Making Under Uncertainty.
  • [Paper ID: 16] Explaining Predictive Uncertainty by Looking Back at Model Explanations.
  • [Paper ID: 17] SeedBERT: Recovering Annotator Rating Distributions from an Aggregated Label.
  • [Paper ID: 19] Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information.
  • [Paper ID: 21] PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration.
5:40 – 6:00 pm Closing