Cloud applications are increasingly distributing data across multiple re...
Fine-tuning models on edge devices like mobile phones would enable
priva...
Graph neural networks are powerful architectures for structured datasets...
Question answering models struggle to generalize to novel compositions o...
First-order methods for quadratic optimization such as OSQP are widely u...
Machine-aided programming tools such as automated type predictors and
au...
Modern neural networks are increasingly bottlenecked by the limited capa...
Modern microprocessors are equipped with Single Instruction Multiple Dat...
Current trends in Machine Learning (ML) inference on hardware accelerate...
Serving deep neural networks in latency critical interactive settings of...
Convolutional neural networks (CNNs) have become increasingly popular fo...