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Found 5 papers, 3 papers with code
A Geometric Perspective on Diffusion Models
Recent years have witnessed significant progress in developing effective training and fast sampling techniques for diffusion models.
Knowledge Distillation with the Reused Teacher Classifier
Knowledge distillation aims to compress a powerful yet cumbersome teacher model into a lightweight student model without much sacrifice of performance.
Ranked #3 on
Knowledge Distillation
on CIFAR-100
Cross-Layer Distillation with Semantic Calibration
Knowledge distillation is a technique to enhance the generalization ability of a student model by exploiting outputs from a teacher model.
Online Knowledge Distillation with Diverse Peers
The second-level distillation is performed to transfer the knowledge in the ensemble of auxiliary peers further to the group leader, i. e., the model used for inference.
Classification and its applications for drug-target interaction identification
Classification is one of the most popular and widely used supervised learning tasks, which categorizes objects into predefined classes based on known knowledge.
