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05/22/2023
EnSiam: Self-Supervised Learning With Ensemble Representations
Recently, contrastive self-supervised learning, where the proximity of r...
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07/21/2020
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations
We propose a novel framework for training neural networks which is capab...
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02/07/2020
Differentiable Fixed-Point Iteration Layer
Recently, several studies proposed methods to utilize some restricted cl...
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08/07/2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
We propose a symmetric graph convolutional autoencoder which produces a ...
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05/24/2019
Neuro-Optimization: Learning Objective Functions Using Neural Networks
Mathematical optimization is widely used in various research fields. Wit...
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11/08/2018
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
An activation boundary for a neuron refers to a separating hyperplane th...
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05/15/2018
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Many recent works on knowledge distillation have provided ways to transf...
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05/15/2018
Improving Knowledge Distillation with Supporting Adversarial Samples
Many recent works on knowledge distillation have provided ways to transf...
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03/22/2018
