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07/07/2023
AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation
This paper presents a solution to the challenges faced by contrastive le...
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05/24/2023
Feature-aligned N-BEATS with Sinkhorn divergence
In this study, we propose Feature-aligned N-BEATS as a domain generaliza...
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05/24/2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Optimal Transport (OT) problem investigates a transport map that bridges...
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05/14/2023
ReSDF: Redistancing Implicit Surfaces using Neural Networks
This paper proposes a deep-learning-based method for recovering a signed...
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05/08/2023
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme
Mechanical defects in real situations affect observation values and caus...
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02/02/2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series
Learning underlying dynamics from data is important and challenging in m...
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11/25/2022
Minimal Width for Universal Property of Deep RNN
A recurrent neural network (RNN) is a widely used deep-learning network ...
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11/18/2022
Universal Property of Convolutional Neural Networks
Universal approximation, whether a set of functions can approximate an a...
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10/11/2022
Finding the global semantic representation in GAN through Frechet Mean
The ideally disentangled latent space in GAN involves the global represe...
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09/12/2022
Bounding the Rademacher Complexity of Fourier neural operators
A Fourier neural operator (FNO) is one of the physics-inspired machine l...
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08/11/2022
Self-Knowledge Distillation via Dropout
To boost the performance, deep neural networks require deeper or wider n...
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05/26/2022
Analyzing the Latent Space of GAN through Local Dimension Estimation
The impressive success of style-based GANs (StyleGANs) in high-fidelity ...
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08/27/2021
Solving incompressible Navier–Stokes equations on irregular domains and quadtrees by monolithic approach
We present a second-order monolithic method for solving incompressible N...
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06/15/2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models
Out-of-distribution (OOD) detection is an important task in machine lear...
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06/13/2021
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
In this paper, we propose a method to find local-geometry-aware traversa...
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05/25/2021
High-Frequency aware Perceptual Image Enhancement
In this paper, we introduce a novel deep neural network suitable for mul...
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01/07/2021
OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space
Novelty detection using deep generative models such as autoencoder, gene...
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09/29/2020
MARA-Net: Single Image Deraining Network with Multi-level connections and Adaptive Regional Attentions
Removing rain streaks from single images is an important problem in vari...
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09/17/2020
Discond-VAE: Disentangling Continuous Factors from the Discrete
We propose a variant of VAE capable of disentangling both variations wit...
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07/09/2020
Long-Term Residual Blending Network for Blur Invariant Single Image Blind deblurring
We present a novel, blind, single image deblurring method that utilizes ...
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05/28/2020
A second-order accurate semi-Lagrangian method for convection-diffusion equations with interfacial jumps
In this paper, we present a second-order accurate finite-difference meth...
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05/08/2020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
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01/12/2020
Membership Inference Attacks Against Object Detection Models
Machine learning models can leak information about the dataset they trai...
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02/28/2019