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20162023
most citedOvercoming Catastrophic Forgetting by Incremental Moment Matching

277 citations · 1.6k across the 56 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 96 cited

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Yunjey Choi, Youngjung Uh, Jaejun Yoo +1

A good image-to-image translation model should learn a mapping between different visual domains while satisfying the following properties: 1) diversity of generated images and 2) s…

cs.LG2019

Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling

YoungJoon Yoo, Sanghyuk Chun, Sangdoo Yun +2

We propose a generic confidence-based approximation that can be plugged in and simplify the auto-regressive generation process with a proved convergence. We first assume that the p…

cs.LG2019★ 2 cited

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion

Kyung-Wha Park, JungHoon Lee, Sunyoung Kwon +3

Assessing aesthetic preference is a fundamental task related to human cognition. It can also contribute to various practical applications such as image creation for online advertis…

cs.SI2019★ 22 cited

Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation

Kyung-Min Kim, Donghyun Kwak, Hanock Kwak +7

Graph Neural Networks (GNNs) have been emerging as a promising method for relational representation including recommender systems. However, various challenging issues of social gra…

cs.SD2019★ 79 cited

Phase-aware Speech Enhancement with Deep Complex U-Net

Hyeong-Seok Choi, Jang-Hyun Kim, Jaesung Huh +3

Most deep learning-based models for speech enhancement have mainly focused on estimating the magnitude of spectrogram while reusing the phase from noisy speech for reconstruction.…

cs.CV2019★ 37 cited

Photorealistic Style Transfer via Wavelet Transforms

Jaejun Yoo, Youngjung Uh, Sanghyuk Chun +2

Recent style transfer models have provided promising artistic results. However, given a photograph as a reference style, existing methods are limited by spatial distortions or unre…

cs.CL2019★ 7 cited

Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation

Sang-Woo Lee, Tong Gao, Sohee Yang +2

Answerer in Questioner's Mind (AQM) is an information-theoretic framework that has been recently proposed for task-oriented dialog systems. AQM benefits from asking a question that…