Scott Sanner
Vector Institute(CA)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Topic Modeling, Recommender Systems and Techniques, Bayesian Modeling and Causal Inference, Machine Learning and Algorithms
Most-Cited Works
- → AutoRec(2015)1,170 cited
- → Improving LDA topic models for microblogs via tweet pooling and automatic labeling(2013)472 cited
- → Online continual learning in image classification: An empirical survey(2021)368 cited
- → Deep Learning with Microfluidics for Biotechnology(2018)214 cited
- → Online Class-Incremental Continual Learning with Adversarial Shapley Value(2021)170 cited
- → Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning(2021)158 cited
- → Deep learning-based selection of human sperm with high DNA integrity(2019)124 cited
- → Social collaborative filtering for cold-start recommendations(2014)118 cited
- → The 2014 International Planning Competition: Progress and Trends(2015)110 cited
- → A Survey of the Seventh International Planning Competition(2012)109 cited