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Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
Most of the existing literature regarding hyperbolic embedding concentra...
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An ensemble of Density based Geometric One-Class Classifier and Genetic Algorithm
One of the most rising issues in recent machine learning research is One...
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Class-Attentive Diffusion Network for Semi-Supervised Classification
We propose Aggregation with Class-Attentive Diffusion (AggCAD), a novel ...
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Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks
Existing fine-tuning methods use a single learning rate over all layers....
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Differentiable Fixed-Point Iteration Layer
Recently, several studies proposed methods to utilize some restricted cl...
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Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
This paper proposes a new high dimensional regression method by merging ...
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Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
We propose a symmetric graph convolutional autoencoder which produces a ...
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Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators
In this paper, we propose a novel structure for a cross-modal data assoc...
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Neuro-Optimization: Learning Objective Functions Using Neural Networks
Mathematical optimization is widely used in various research fields. Wit...
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A Comprehensive Overhaul of Feature Distillation
We investigate the design aspects of feature distillation methods achiev...
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Skeleton-based Action Recognition of People Handling Objects
In visual surveillance systems, it is necessary to recognize the behavio...
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Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
In person re-identification (ReID) task, because of its shortage of trai...
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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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Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Many recent works on knowledge distillation have provided ways to transf...
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Improving Knowledge Distillation with Supporting Adversarial Samples
Many recent works on knowledge distillation have provided ways to transf...
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Context-aware Deep Feature Compression for High-speed Visual Tracking
We propose a new context-aware correlation filter based tracking framewo...
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