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Found 3 papers, 1 papers with code
Bayesian Optimization for Macro Placement
Macro placement is the problem of placing memory blocks on a chip canvas.
Parallelized Rate-Distortion Optimized Quantization Using Deep Learning
We train two classes of neural networks, a fully-convolutional network and an auto-regressive network, and evaluate each as a post-quantization step designed to refine cheap quantization schemes such as scalar quantization (SQ).
Examining Cooperation in Visual Dialog Models
In this work we propose a blackbox intervention method for visual dialog models, with the aim of assessing the contribution of individual linguistic or visual components.
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