32 citations · 37 across the 4 of their papers we have counts for
4 papers
Self-Supervised Learning from Structural Invariance
Yipeng Zhang, Hafez Ghaemi, Jungyoon Lee +3
Joint-embedding self-supervised learning (SSL), the key paradigm for unsupervised representation learning from visual data, learns from invariances between semantically-related dat…
Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang, Laurent Charlin, Richard Zemel +1
We formulate a unifying framework for unsupervised continual learning (UCL), which disentangles learning objectives that are specific to the present and the past data, encompassing…
Active Learning for Matching Problems
Laurent Charlin, Rich Zemel, Craig Boutilier
Effective learning of user preferences is critical to easing user burden in various types of matching problems. Equally important is active query selection to further reduce the am…
A Framework for Optimizing Paper Matching
Laurent Charlin, Richard S. Zemel, Craig Boutilier
At the heart of many scientific conferences is the problem of matching submitted papers to suitable reviewers. Arriving at a good assignment is a major and important challenge for…