Personal Assistant Systems
Latent Template Induction with Gumbel-CRFs
Learning to control the structure of sentences is a challenging problem in text generation.
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation
Cross-Domain Recommendation (CDR) has been popularly studied to utilize different domain knowledge to solve the cold-start problem in recommender systems.
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices Federico López
At the same time, it is hard to translate operations into their non-Euclidean domain given the lack of closed-form expressions.
Measuring and Reducing Model Update Regression in Structured Prediction for NLP
Recent advance in deep learning has led to the rapid adoption of machine learning-based NLP models in a wide range of applications. Despite the continuous gain in accuracy, backward compatibility is also an important aspect for industrial applications, yet it received little research attention.
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
Continual learning agents experience a stream of (related) tasks.
