Sangwoo Mo

Orcid: 0000-0002-3141-7859

According to our database1, Sangwoo Mo authored at least 22 papers between 2017 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions.
CoRR, 2023

Diffusion Probabilistic Models for Graph-Structured Prediction.
CoRR, 2023

Explaining Visual Biases as Words by Generating Captions.
CoRR, 2023

S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Probabilistic Models for Structured Node Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
OAMixer: Object-aware Mixing Layer for Vision Transformers.
CoRR, 2022

Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling.
CoRR, 2022

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing.
IEEE Trans. Robotics, 2021

Abstract Reasoning via Logic-guided Generation.
CoRR, 2021

Object-aware Contrastive Learning for Debiased Scene Representation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Layer-adaptive Sparsity for the Magnitude-based Pruning.
Proceedings of the 9th International Conference on Learning Representations, 2021

MASKER: Masked Keyword Regularization for Reliable Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning.
CoRR, 2020

Freeze Discriminator: A Simple Baseline for Fine-tuning GANs.
CoRR, 2020

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Lookahead: A Far-sighted Alternative of Magnitude-based Pruning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Mining GOLD Samples for Conditional GANs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Neural Network Approach in Electrical Impedance Tomography-based Real-time Soft Tactile Sensor.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

InstaGAN: Instance-aware Image-to-Image Translation.
Proceedings of the 7th International Conference on Learning Representations, 2019

2017
Contextual Multi-armed Bandits under Feature Uncertainty.
CoRR, 2017


  Loading...