2.3k citations · 2.9k across the 31 of their papers we have counts for
4 papers · 1 filter
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks
Andrey Zhmoginov, Dina Bashkirova, Mark Sandler
Conditional computation and modular networks have been recently proposed for multitask learning and other problems as a way to decompose problem solving into multiple reusable comp…
Limit on the Electric Charge of Antihydrogen
A. Capra, C. Amole, M. D. Ashkezari +37
The ALPHA collaboration has successfully demonstrated the production and the confinement of cold antihydrogen, . An analysis of trapping data allowed a strin…
BasisNet: Two-stage Model Synthesis for Efficient Inference
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov +6
In this work, we present BasisNet which combines recent advancements in efficient neural network architectures, conditional computation, and early termination in a simple new form.…
Meta-Learning Bidirectional Update Rules
Mark Sandler, Max Vladymyrov, Andrey Zhmoginov +4
In this paper, we introduce a new type of generalized neural network where neurons and synapses maintain multiple states. We show that classical gradient-based backpropagation in n…