Name: Jung-Woo Ha
Type: User
Company: NAVER CLOVA AI Lab
Bio: Head, NAVER CLOVA AI Lab
Co-Director, SNU-NAVER Hyperscale AI Center
Co-Director, KAIST-NAVER Hypercreative AI Center
Member, NAEK
Co-Chair, AI Future Forum
Twitter: JungWooHa2
Location: Seoul
Blog: https://www.facebook.com/jungwoo.ha.921
Jung-Woo Ha's Projects
Slowing Down the Weight Norm Increase in Momentum-based Optimizers
GPT-3 Interactive CLI built on ai dungeon
PyTorch code for Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation (AQM+)
Official implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Official Pytorch implementation of C3-GAN
CLaF: Open-Source Clova Language Framework
ClovaCall dataset and Pytorch LAS baseline code
Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)
Text recognition (optical character recognition ) with deep learning methods.
Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder
Official PyTorch implementation of Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks (ICLR 2022).
Official EXTD Pytorch code
Official PyTorch implementation of "Mixture Content Selection for Diverse Sequence Generation" (EMNLP 2019)
Code base for the precision, recall, density, and coverage metrics for generative models.
Official Pytorch implementation of GGDR (ECCV 2022)
Official Pytorch implementation of Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference (ICLR 2022)
Korean NLU Benchmark
The official code repository for MetricMT - a reward optimization method for NMT with learned metrics
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
Official PyTorch Implementation of PuriDivER CVPR 2022.
Official pytorch implementation of Rainbow Memory (CVPR 2021)
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020