Search Results for author:
Found 5 papers, 3 papers with code
AnthroNet: Conditional Generation of Humans via Anthropometrics
We present a novel human body model formulated by an extensive set of anthropocentric measurements, which is capable of generating a wide range of human body shapes and poses.
3D human pose and shape estimation
3D Human Reconstruction
+3
Predicting Fine-Tuning Performance with Probing
Large NLP models have recently shown impressive performance in language understanding tasks, typically evaluated by their fine-tuned performance.
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
We find that representations always encode some information about the domain.
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
A major bottleneck in the real-world applications of machine learning models is their failure in generalizing to unseen domains whose data distribution is not i. i. d to the training domains.
Siamese Neural Networks for EEG-based Brain-computer Interfaces
In this work, a Siamese architecture, which is developed based on Convolutional Neural Networks (CNN) and provides a binary output on the similarity of two inputs, is combined with OVR and OVO techniques to scale up for multi-class problems.
