Hyeonwoo Noh

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 15

Top Topics

Semantic Segmentation

Transfer Learning

Top Venues

Publications

Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess
Behavior Priors for Efficient Reinforcement Learning. J. Mach. Learn. Res. 23 (2022)
OpenAI, Matthias Plappert, Raul Sampedro, Tao Xu, Ilge Akkaya, Vineet Kosaraju, Peter Welinder, Ruben D'Sa, Arthur Petron, Henrique Ponde de Oliveira Pinto, Alex Paino, Hyeonwoo Noh, Lilian Weng, Qiming Yuan, Casey Chu, Wojciech Zaremba
Asymmetric self-play for automatic goal discovery in robotic manipulation. CoRR (2021)
Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess
Behavior Priors for Efficient Reinforcement Learning. CoRR (2020)
Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning. AAAI (2020)
Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning. CoRR (2019)
Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering. CVPR (2019)
Dhruva Tirumala, Hyeonwoo Noh, Alexandre Galashov, Leonard Hasenclever, Arun Ahuja, Greg Wayne, Razvan Pascanu, Yee Whye Teh, Nicolas Heess
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL. CoRR (2019)
Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering. CoRR (2018)
Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, Joseph J. Lim
Neural Program Synthesis from Diverse Demonstration Videos. ICML (2018)
Hyeonwoo Noh, Tackgeun You, Jonghwan Mun, Bohyung Han
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization. CoRR (2017)
Hyeonwoo Noh, Tackgeun You, Jonghwan Mun, Bohyung Han
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization. NIPS (2017)
Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, Bohyung Han
Large-Scale Image Retrieval with Attentive Deep Local Features. ICCV (2017)
Hyeonwoo Noh, Bohyung Han
Training Recurrent Answering Units with Joint Loss Minimization for VQA. CoRR (2016)
Hyeonwoo Noh, Andre Araujo, Jack Sim, Bohyung Han
Image Retrieval with Deep Local Features and Attention-based Keypoints. CoRR (2016)
Hyeonwoo Noh, Paul Hongsuck Seo, Bohyung Han
Image Question Answering Using Convolutional Neural Network with Dynamic Parameter Prediction. CVPR (2016)
Hyeonwoo Noh, Paul Hongsuck Seo, Bohyung Han
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction. CoRR (2015)
Seunghoon Hong, Hyeonwoo Noh, Bohyung Han
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation. NIPS (2015)
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
Learning Deconvolution Network for Semantic Segmentation. CoRR (2015)
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
Learning Deconvolution Network for Semantic Segmentation. ICCV (2015)
Seunghoon Hong, Hyeonwoo Noh, Bohyung Han
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation. CoRR (2015)
Hyeonwoo Noh, Bohyung Han
Seam carving with forward gradient difference maps. ACM Multimedia (2012)