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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 2018Show all

5 papers · 1 filter

eess.AS2018★ 29 cited

Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement

Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun +2

We present a hybrid framework that leverages the trade-off between temporal and frequency precision in audio representations to improve the performance of speech enhancement task.…

cs.LG2018★ 9 cited

CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms

Jinwoong Kim, Minkyu Kim, Heungseok Park +6

Many hyperparameter optimization (HyperOpt) methods assume restricted computing resources and mainly focus on enhancing performance. Here we propose a novel cloud-based HyperOpt (C…

cs.DC2018★ 107 cited

NSML: Meet the MLaaS platform with a real-world case study

Hanjoo Kim, Minkyu Kim, Dongjoo Seo +9

The boom of deep learning induced many industries and academies to introduce machine learning based approaches into their concern, competitively. However, existing machine learning…

cs.CL2018★ 120 cited

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha +1

Variational autoencoders~(VAEs) have shown a promise in data-driven conversation modeling. However, most VAE conversation models match the approximate posterior distribution over t…

cs.IR2018★ 62 cited

Reinforcement Learning based Recommender System using Biclustering Technique

Sungwoon Choi, Heonseok Ha, Uiwon Hwang +3

A recommender system aims to recommend items that a user is interested in among many items. The need for the recommender system has been expanded by the information explosion. Vari…