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Found 5 papers, 2 papers with code
Betty: An Automatic Differentiation Library for Multilevel Optimization
Gradient-based multilevel optimization (MLO) has gained attention as a framework for studying numerous problems, ranging from hyperparameter optimization and meta-learning to neural architecture search and reinforcement learning.
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
Some recent schedulers choose job resources for users, but do so without awareness of how DL training can be re-optimized to better utilize the provided resources.
Online Kernel based Generative Adversarial Networks
We propose a novel approach that resolves many of these issues by relying on a kernel-based non-parametric discriminator that is highly amenable to online training---we call this the Online Kernel-based Generative Adversarial Networks (OKGAN).
On Leveraging the Visual Modality for Neural Machine Translation
Leveraging the visual modality effectively for Neural Machine Translation (NMT) remains an open problem in computational linguistics.
Audio Cover Song Identification using Convolutional Neural Network
To do this, we first build the CNN using as an input a cross-similarity matrix generated from a pair of songs.
