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2020 – today
- 2024
[c8]Hyeonjin Kim, Min Kim, Jae Jang, KiYoon Yoo, Nojun Kwak:
TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis. ClinicalNLP@NAACL 2024: 334-338- [c7]KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak:
Advancing Beyond Identification: Multi-bit Watermark for Large Language Models. NAACL-HLT 2024: 4031-4055 - [i13]Namhyuk Ahn, Wonhyuk Ahn, KiYoon Yoo, Daesik Kim, Seung-Hun Nam:
Imperceptible Protection against Style Imitation from Diffusion Models. CoRR abs/2403.19254 (2024) - [i12]Namhyuk Ahn, KiYoon Yoo, Wonhyuk Ahn, Daesik Kim, Seung-Hun Nam:
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models. CoRR abs/2412.11423 (2024) - 2023
- [c6]KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak:
Robust Multi-bit Natural Language Watermarking through Invariant Features. ACL (1) 2023: 2092-2115 - [c5]Jangho Kim
, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak:
Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. ACM Multimedia 2023: 9003-9011 - [c4]Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak:
Self-Distilled Self-supervised Representation Learning. WACV 2023: 2828-2838 - [i11]KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak:
Robust Natural Language Watermarking through Invariant Features. CoRR abs/2305.01904 (2023) - [i10]KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak:
Advancing Beyond Identification: Multi-bit Watermark for Language Models. CoRR abs/2308.00221 (2023) - [i9]Inseop Chung, KiYoon Yoo, Nojun Kwak:
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features. CoRR abs/2312.05141 (2023) - 2022
- [j1]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Model Compression via Position-Based Scaled Gradient. IEEE Access 10: 133828-133841 (2022) - [c3]KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak:
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. ACL (Findings) 2022: 3656-3672 - [c2]KiYoon Yoo, Nojun Kwak:
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. EMNLP 2022: 72-88 - [i8]KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak:
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. CoRR abs/2203.01677 (2022) - [i7]KiYoon Yoo, Nojun Kwak:
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. CoRR abs/2204.14017 (2022) - 2021
- [i6]Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak:
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. CoRR abs/2109.04660 (2021) - [i5]Simyung Chang, KiYoon Yoo, Jiho Jang, Nojun Kwak:
Self-Evolutionary Optimization for Pareto Front Learning. CoRR abs/2110.03461 (2021) - [i4]Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak:
Self-Distilled Self-Supervised Representation Learning. CoRR abs/2111.12958 (2021) - 2020
- [c1]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Position-based Scaled Gradient for Model Quantization and Pruning. NeurIPS 2020 - [i3]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Position-based Scaled Gradient for Model Quantization and Sparse Training. CoRR abs/2005.11035 (2020) - [i2]Seonguk Park, KiYoon Yoo, Nojun Kwak:
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective. CoRR abs/2009.04120 (2020) - [i1]Sang-Ho Lee, KiYoon Yoo, Nojun Kwak:
Asynchronous Edge Learning using Cloned Knowledge Distillation. CoRR abs/2010.10338 (2020)
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