Deep Learning
LocCa: Visual Pretraining with Location-aware Captioners
Specifically, LocCa employs two tasks, bounding box prediction and location-dependent captioning, conditioned on the image pixel input.
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Exploring the loss landscape offers insights into the inherent principles of deep neural networks (DNNs).
A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
Antibodies are crucial proteins produced by the immune system to eliminate harmful foreign substances and have become pivotal therapeutic agents for treating human diseases.
You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
All instantiations of this paradigm were trained using strong and well-established hand-crafted data augmentations, leading to the general belief that they are required for the proper training and performance of such models.
