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Found 6 papers, 5 papers with code
Cross-Modal Fine-Tuning: Align then Refine
Fine-tuning large-scale pretrained models has led to tremendous progress in well-studied modalities such as vision and NLP.
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer
As machine learning permeates more industries and models become more expensive and time consuming to train, the need for efficient automated hyperparameter optimization (HPO) has never been more pressing.
AANG: Automating Auxiliary Learning
Auxiliary objectives, supplementary learning signals that are introduced to help aid learning on data-starved or highly complex end-tasks, are commonplace in machine learning.
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
In most settings of practical concern, machine learning practitioners know in advance what end-task they wish to boost with auxiliary tasks.
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral
In this case, careful consideration is needed to select tasks and model parameterizations such that updates from the auxiliary tasks actually help the primary task.
Audio to Body Dynamics
We present a method that gets as input an audio of violin or piano playing, and outputs a video of skeleton predictions which are further used to animate an avatar.
