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09/08/2023
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
Data silos, mainly caused by privacy and interoperability, significantly...
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07/24/2020
Hard negative examples are hard, but useful
Triplet loss is an extremely common approach to distance metric learning...
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12/30/2019
An Empirical Study of Factors Affecting Language-Independent Models
Scaling existing applications and solutions to multiple human languages ...
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10/30/2019
Policy Continuation with Hindsight Inverse Dynamics
Solving goal-oriented tasks is an important but challenging problem in r...
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09/16/2019
Visualizing How Embeddings Generalize
Deep metric learning is often used to learn an embedding function that c...
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11/12/2018
Characterizing machine learning process: A maturity framework
Academic literature on machine learning modeling fails to address how to...
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10/21/2018
