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Found 5 papers, 1 papers with code
HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
Generating both plausible and accurate full body avatar motion is the key to the quality of immersive experiences in mixed reality scenarios.
FLAG: Flow-based 3D Avatar Generation from Sparse Observations
To represent people in mixed reality applications for collaboration and communication, we need to generate realistic and faithful avatar poses.
Contextual HyperNetworks for Novel Feature Adaptation
While deep learning has obtained state-of-the-art results in many applications, the adaptation of neural network architectures to incorporate new output features remains a challenge, as neural networks are commonly trained to produce a fixed output dimension.
Learning to Extend Molecular Scaffolds with Structural Motifs
Recent advancements in deep learning-based modeling of molecules promise to accelerate in silico drug discovery.
Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge
In this competition, participants will focus on the students' answer records to these multiple-choice diagnostic questions, with the aim of 1) accurately predicting which answers the students provide; 2) accurately predicting which questions have high quality; and 3) determining a personalized sequence of questions for each student that best predicts the student's answers.
