3 accepted papers
Recent developments in Artificial Intelligence (AI) have led to flexible ways for users to search through vast information. However, users may have questions that are grounded in the real world which require spatial inference, for which language models are not well suited. Conversely, traditional sp
The success of CNNs in various applications is accompanied by a significant increase in the computation and parameter storage costs. Recent efforts toward reducing these overheads involve pruning and compressing the weights of various layers without hurting original accuracy. However, magnitude-bas…
Currently, deep neural networks are deployed on low-power portable devices by first training a full-precision model using powerful hardware, and then deriving a corresponding low-precision model for efficient inference on such systems. However, training models directly with coarsely quantized weight…