PUBLICATIONS
SELECTED PAPERS
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model
GI Yoo, et al., International Conference on Very Large DataBases 2022
Space-Time Memory Networks for Video Object Segmentation with User Guidance
SW Oh, et al., IEEE Transactions on Pattern Analysis and Machine Intelligence 2022
ACAV100M: Automatic Curation of Large-Scale Datasets forAudio-Visual Video Representation Learning
SH Lee, et al., International Conference on Machine Learning 2021
Unsupervised Representation Learning via Neural Activation Coding
YK Park, et al., International Conference on Machine Learning 2021 (Oral)
Transitional Adaptation of Pretrained Models for Visual Storytelling
YJ Yoo, et al., Conference on Computer Vision and Pattern Recognition 2021
Parameter Efficient Multimodal Transformers for Video Representation Learning
SH Lee, et al., International Conference on Learning Representations 2021
Dual Compositional Learning in Interactive Image Retrieval
JS Kim, et al., AAAI Conference on Artificial Intelligence 2021
A Preliminary Survey on Story Interestingness: Focusing on Cognitive and Emotional Interest
BC Bae, et al., International Conference on Interactive Digital Stroytelling 2021
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
TB Kim, et al., Conference on Neural Information Processing Systems 2021
Compressing Deep Graph Convolution Network with Multi-staged Knowledge Distillation
JH Kim, et al., The Public Library of Scienc ONE
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
KB Kim, et al., Conference on Neural Information Processing Systems 2021
Devil's Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification
HY Jo, et al., Empirical Methods in Natural Language Processing 2021
Passive Versus Active: Frameworks of Active Learning for Linking Humans to Machines
JS Lim, et al., Annual Conference of the Cognitive Science Society 2021
Co-Attentional Transformers for Story Based Video Understanding
B Bebensee, et al., IEEE International Conference on Acoustics, Speech and Signal Processing 2021
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
TH Kim, et al., International Conference on Machine Learning 2021
Attend What You Need: Motion Appearance Synergistic Networks for Video Question Answering
AJ Seo, et al., Annual Meeting of the Association for Computational Linguistics 2021
Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots
YJ Yoo, et al., IEEE International Conference on Robotics and Automation 2021
M2FN: Multi-step modality fusion for advertisement image assessment
KW Park, et al., Applied Soft Computing 2021
Cut-Based Graph Learning Networks to Discovor Compositional Structure of Sequential Video Data
KW On, et al., AAAI Conference on Artificial Intelligence 2020
Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness
H. Kim, B. Kim, K. Kim, Empirical Methods in Natural Language Processing 2020
Temporally smooth online action detection using cycle-consistent future anticipation
Young Hwi Kim, Seonghyeon Nam, Seon Joo Kim, Pattern Recognition 2020
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
WS Kwon, et al., Conference on Neural Information Processing Systems 2020
Hierarchical Color Learning in Convolutional Neural Networks
C Hickey, et al., CVPR Workshop on Minds vs Machines 2020
ARLET Adaptive Representation Learning with End-to-end Training
WS Choi, et al., Conference on Neural Information Processing Systems 2020 Workshop on BabyMind
Label Propagation Adaptive Resonance Theory for Semi-supervised Continous Learning
TH Kim, et al., IEEE International Conference on Acoustics, Speech, and Signal Processing 2020
Visual Perception Framework for an Intelligent Mobile Robots
CY Lee, et al., International Conference on Ubiquitous Robot 2020
Toward General Scene Graph: Integration of Visual Semantic Knowledge with Entity Synset Alignment
WS Choi, et al., Annual Meeting of the Association for Computational Linguistics Workshop 2020
Emotion Recognition from Text Stories Using an Emotion Embedding model
SH Park, et al., IEEE Workshop on BigComp MEGA AI 2020
A Cooperative Storytelling Card Game for Conflict Resolution and Empathy
BC Bae, HJ Kim 22nd International Conference on Human-Computer Interaction 2020
Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot Learning
JK Kim, et al., IEEE International Conference on Computer Vision 2020
Accurate Relational Reasoning in Edge-labeled Graphs by Multi-Labeled Random Walk with Restart
JH Jung, et al., World-Wide Web Conference (Internet and Web Information Systems) 2020
Video Question Answering with Spatio-Temporal Reasoning
YS Jang, et al,. International Journal of Computer Vision 2019
Modeling Happiness Using One-Class Autoencoders
YG Cheong, et al., AAAI Conference on Artificial Intelligence Workshop on Affective Content Analysis 2019
Constructing Hierarchical Q&A Datasets for Video Story Understanding
YJ Heo, et al., AAAI SPRING SYMPOSIUM SERIES 2019
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks
SJ Kim, et al., European Conference on Computer Systems 2019
Discovery of Natural Language Concepts in Individual Units of CNNs
SI Na, et al., International Conference on Learning Representations 2019
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
BC Kim, et al., Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2019
Compositional structure learning for sequential video data
KW On, et al., International Conference on Machine Learning Workshop on Learning and Reasoning with Graph-Structured Representations 2019
Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models
SJ Cho, et al., Annual Conference of the Cognitive Science Society 2019
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
JH Kim, et al., Annual Meeting of the Association for Computational Linguistics 2019
Korean Grapheme Unit-based Speech Recognition Using Attention-CTC Ensemble Network
H Park, et al., International Symposium on Multimedia and Communication Technology 2019
Dual Attention Networks for Visual Reference Resolution in Visual Dialog
GC Kang, et al., Empirical Methods in Natural Language Processing 2019
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings
Hwiyeol Jo, Ceyda Cinarel et al., Empirical Methods in Natural Language Processing 2019
Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model
Hyun-Je Song, Seong-Bae Park Empirical Methods in Natural Language Processing 2019
Knowledge Extraction with No Observable Data
JM Yoo, et al., Conference on Neural Information Processing Systems 2019
Stage-based Hyper-parameter Optimization for Deep Learning
AJ shin, et al., Neural Information Processing Systems Conference Workshop on Systems for ML 2019
Implementation of Online Sound Event Classification System
JS Oh, et al., The 5th International Conference on Electronics, Electrical Engineering, Computer Science 2018
Sequence-To-Sequence Korean Phoneme-To-Text Conversion for Korean Speech Recognition
HS Park, et al., The 5th International Conference on Electronics, Electrical Engineering, Computer Science 2018
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach
GI Yu, et al,. Workshop on Systems for ML and Open Source Software at NIPS 2018
GLAC Net: GLocal attention cascading networks for multi-image cued story generation
TH Kim, et al., Visual Storytelling Challenge in Storytelling Workshop co-located with NAACL 2018
Temporal attention mechanism with conditional inference for large-scale multi-label video classification
ES Kim, et al., ECCV Workshop on YouTube-8M Large-Scale Video Understanding 2018
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems
YS Lee, et al., USENIX Symposium on Operating Systems Design and Implementation 2018
SIDE: Representation Learning in Signed Directed Networks
JH Kim, et al., The Web Conference 2018
Improving the Expressiveness of Deep Learning Frameworks with Recursion
EJ Jeong, et al., European Conference on Computer Systems 2018
Fast Video Object Segmentation by Reference-Guided Mask Propagation
SW Oh, et al., Conference on Computer Vision and Pattern Recognition 2018
A Memory Network Approach for Story-based Temporal Summarization of 360° Videos
SH Lee, et al., Conference on Computer Vision and Pattern Recognition 2018
Bilinear Attention Networks
JH Kim, et al., Conference on Neural Information Processing Systems 2018
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
SH Nam, et al., Conference on Neural Information Processing Systems 2018
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
SW Lee, et al., Conference on Neural Information Processing Systems 2018
Towards High-Performance Prediction Serving Systems
Y Lee, et al., Conference on Neural Information Processing Systems Workshop on ML Systems 2017
Answerer in questioner’s mind for goal-oriented visual dialogue
SW Lee, et al., Conference on Neural Information Processing Systems Workshop on ML Systems 2017
Visual explanations from Hadamard product in multimodal deep networks
JH Kim, BT Zhang Conference on Neural Information Processing Systems Workshop on ML Systems 2017
WiseReporter: A Korean Report Generation System
YS Noh, et al., International Joint Conference on Natural Language Processing 2017