Picture for Dongjin Lee

Dongjin Lee

A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network

Add code
Jul 10, 2024
Viaarxiv icon

Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs

Add code
Aug 21, 2023
Viaarxiv icon

New Insights for the Stability-Plasticity Dilemma in Online Continual Learning

Add code
Feb 17, 2023
Viaarxiv icon

I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs

Add code
Jun 09, 2022
Figure 1 for I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Figure 2 for I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Figure 3 for I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Figure 4 for I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Viaarxiv icon

Machine Composition of Korean Music via Topological Data Analysis and Artificial Neural Network

Add code
Mar 29, 2022
Figure 1 for Machine Composition of Korean Music via Topological Data Analysis and Artificial Neural Network
Figure 2 for Machine Composition of Korean Music via Topological Data Analysis and Artificial Neural Network
Figure 3 for Machine Composition of Korean Music via Topological Data Analysis and Artificial Neural Network
Figure 4 for Machine Composition of Korean Music via Topological Data Analysis and Artificial Neural Network
Viaarxiv icon

AutoSNN: Towards Energy-Efficient Spiking Neural Networks

Add code
Feb 16, 2022
Figure 1 for AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Figure 2 for AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Figure 3 for AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Figure 4 for AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Viaarxiv icon

Energy-efficient Knowledge Distillation for Spiking Neural Networks

Add code
Jun 14, 2021
Figure 1 for Energy-efficient Knowledge Distillation for Spiking Neural Networks
Figure 2 for Energy-efficient Knowledge Distillation for Spiking Neural Networks
Figure 3 for Energy-efficient Knowledge Distillation for Spiking Neural Networks
Figure 4 for Energy-efficient Knowledge Distillation for Spiking Neural Networks
Viaarxiv icon

Noise-Robust Deep Spiking Neural Networks with Temporal Information

Add code
Apr 22, 2021
Figure 1 for Noise-Robust Deep Spiking Neural Networks with Temporal Information
Figure 2 for Noise-Robust Deep Spiking Neural Networks with Temporal Information
Figure 3 for Noise-Robust Deep Spiking Neural Networks with Temporal Information
Figure 4 for Noise-Robust Deep Spiking Neural Networks with Temporal Information
Viaarxiv icon

SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams

Add code
Mar 02, 2021
Figure 1 for SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams
Figure 2 for SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams
Figure 3 for SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams
Figure 4 for SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams
Viaarxiv icon

Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers

Add code
Feb 16, 2021
Figure 1 for Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers
Figure 2 for Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers
Figure 3 for Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers
Figure 4 for Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers
Viaarxiv icon