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CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence

Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon, in Proceedings of Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, December 2023.
preprint link

10 December 2023

Conference, Sungroh Yoon

P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting

Sungwon Kim, Kevin J. Shih, Rohan Badlani, Joao Felipe Santos, Evelina Bakhturina, Mikyas T. Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro, in Proceedings of Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, December 2023.
preprint link

10 December 2023

Conference, Sungroh Yoon

Deep Contrastive Learning of Molecular Conformation for Efficient Property Prediction

Yang Jeong Park, HyunGi Kim, Jeonghee Jo, Sungroh Yoon, Nature Computational Science, https://doi.org/10.1038/s43588-023-00560-w, December 2023.
paper link

05 December 2023

Journal, Sungroh Yoon

MG-MLP: Multi-gated MLP for Restoring Images from Spatially Variant Degradations

Jaihyun Koh, Jaihyun Lew, Jangho Lee, Sungroh Yoon, in Proceedings of British Machine Vision Conference (BMVC), Aberdeen, UK, November 2023.
preprint link

20 November 2023

Conference, Sungroh Yoon

Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor

Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon, arXiv:2311.07820 [cs.CL], November 2023.
paper link

16 November 2023

arXiv, Sungroh Yoon

On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model

Nohil Park, Joonsuk Park, Kang Min Yoo, Sungroh Yoon, arXiv:2311.07820 [cs.CL], November 2023.
paper link

14 November 2023

arXiv, Sungroh Yoon

Edit-A-Video: Single Video Editing with Object-Aware Consistency

Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon, in Proceedings of Asian Conference on Machine Learning (ACML), Istanbul, Turkey, November 2023.
preprint link arXiv

11 November 2023

Conference, Sungroh Yoon

GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning

Bumju Kwak, Jiwon Park, Taewon Kang, Jeonghee Jo, Byunghan Lee, Sungroh Yoon, ACS Omega, vol. 8, no. 42, pp. 38773-39944, October 2023.
paper link arXiv

23 October 2023

Journal, Sungroh Yoon

Generating Instance-level Prompts for Rehearsal-free Continual Learning

Dahuin Jung et al., in Proceedings of International Conference on Computer Vision (ICCV), Paris, France, October 2023.
preprint link arXiv

02 October 2023

Conference, Sungroh Yoon

Real-world Prediction of Preclinical Alzheimer’s Disease with a Deep Generative Model

Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, SeungWook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon, Artificial Intelligence in Medicine, vol. 144, 102654, October 2023.
paper link

01 October 2023

Journal, Sungroh Yoon

CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence

P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting

Deep Contrastive Learning of Molecular Conformation for Efficient Property Prediction

MG-MLP: Multi-gated MLP for Restoring Images from Spatially Variant Degradations

Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor

On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model

Edit-A-Video: Single Video Editing with Object-Aware Consistency

GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning

Generating Instance-level Prompts for Rehearsal-free Continual Learning

Real-world Prediction of Preclinical Alzheimer’s Disease with a Deep Generative Model

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