Jihwan Bang

According to our database1, Jihwan Bang authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Prompt-guided DETR with RoI-pruned masked attention for open-vocabulary object detection.
Pattern Recognit., 2024

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Active Prompt Learning in Vision Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Adaptive Shortcut Debiasing for Online Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection.
CoRR, 2023

Self-Supervised Set Representation Learning for Unsupervised Meta-Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Online Boundary-Free Continual Learning by Scheduled Data Prior.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generating Instance-level Prompts for Rehearsal-free Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Rainbow Memory: Continual Learning With a Memory of Diverse Samples.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization.
CoRR, 2020

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
CH-MAC: A Cluster-based, Hybrid TDMA MAC Protocol over Wireless Ad-hoc Networks.
Proceedings of the 2019 IEEE Military Communications Conference, 2019

2018
Incentivizing Hosts via Multilateral Cooperation in User-Provided Networks: A Fluid Shapley Value Approach.
Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018


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