Europe
Evaluating Protein Transfer Learning with TAPE
Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Peter Chen, John Canny, Pieter Abbeel, Yun Song
Machine learning applied to protein sequences is an increasingly popular areaof research.
Anticipating Performativity by Predicting from Predictions
The meta model seeks to answer "what would the outcome be if we were to deploy a different
Towards Exact Gradient-based Training on Analog In-memory Computing
While inference on analog accelerators has been studied recently, the training perspective is underexplored. Recent studies have shown that the "workhorse" of digital AI training - stochastic gradient descent (
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James L. Sharpnack
Neural Information Processing Systems http://nips.cc/