AIMC Topic: Distillation

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Inferior and Coordinate Distillation for Object Detectors.

Sensors (Basel, Switzerland) Jul 30, 2022
Current distillation methods only distill between corresponding layers, and do not consider the knowledge contained in preceding layers. To solve this problem, we analyzed the guiding effect of the inferior features of a teacher model on the coordina...
Humans Neural Networks, Computer Learning Distillation
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Interpretable pairwise distillations for generative protein sequence models.

PLoS computational biology Jun 23, 2022
Many different types of generative models for protein sequences have been proposed in literature. Their uses include the prediction of mutational effects, protein design and the prediction of structural properties. Neural network (NN) architectures h...
Neural Networks, Computer Proteins Amino Acid Sequence Distillation
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TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classification.

Neural networks : the official journal of the International Neural Network Society Mar 9, 2022
Nuclei segmentation and classification of hematoxylin and eosin-stained histology images is a challenging task due to a variety of issues, such as color inconsistency that results from the non-uniform manual staining operations, clustering of nuclei,...
Neural Networks, Computer Image Processing, Computer-Assisted Cluster Analysis Cell Nucleus Distillation
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Relieving the Incompatibility of Network Representation and Classification for Long-Tailed Data Distribution.

Computational intelligence and neuroscience Dec 27, 2021
In the real-world scenario, data often have a long-tailed distribution and training deep neural networks on such an imbalanced dataset has become a great challenge. The main problem caused by a long-tailed data distribution is that common classes wil...
Neural Networks, Computer Research Design Knowledge Bases Distillation
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Uncertainty-Aware Knowledge Distillation for Collision Identification of Collaborative Robots.

Sensors (Basel, Switzerland) Oct 8, 2021
Human-robot interaction has received a lot of attention as collaborative robots became widely utilized in many industrial fields. Among techniques for human-robot interaction, collision identification is an indispensable element in collaborative robo...
Humans Neural Networks, Computer Robotics Uncertainty Distillation
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A New Hybrid BFOA-PSO Optimization Technique for Decoupling and Robust Control of Two-Coupled Distillation Column Process.

Computational intelligence and neuroscience Oct 11, 2016
The two-coupled distillation column process is a physically complicated system in many aspects. Specifically, the nested interrelationship between system inputs and outputs constitutes one of the significant challenges in system control design. Mostl...
Humans Algorithms Computer Simulation Models, Theoretical Robotics Heuristics Search Engine Systems Theory Distillation
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