The 1st International Workshop on Human-in-the-Loop Applied Machine Learning (HITLAML)

Recent advances in applied Machine Learning (ML) are increasingly involving humans, in data processing, model training, inference, and system design and practical application areas. Improving model predictions, and creating a seamless interaction between humans and ML systems are the two main reasons for Human-in-the-Loop applied ML (HITLAML). For instance, ML models are deployed for designing conversational agents (CA), Adaptive User Interfaces (AUI) and diverse Human-computer interaction (HCI) applications. ML research, particularly Computer Vision (CV) and Natural Language Processing (NLP) have enjoyed enormous success over the past decade. Advances in NLP have shown great relevance for various downstream tasks such as language generation, personalisation and recommender systems. Similarly autonomous vehicles, medical imaging, facial recognition, pose tracking and interactive entertainment are among the areas where cross-domain adoption of CV has gained momentum.
This interdisciplinary workshop aims to put a spotlight on recent advances and practical applications of ML involving humans. The workshop calls participants for submissions on topics including, human-in-the-loop NLP, CV, HCI, and other practical applications of ML such as recommender systems, and personalization.