Position-based Scaled Gradient for Model Quantization and Pruning. - Jangho Kim; KiYoon Yoo; Nojun Kwak (NeurIPS, 2020)

Position-based Scaled Gradient for Model Quantization and Sparse Training. - Jangho Kim; KiYoon Yoo; Nojun Kwak (CoRR, 2020)

On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective. - Seonguk Park; KiYoon Yoo; Nojun Kwak (CoRR, 2020)

Asynchronous Edge Learning using Cloned Knowledge Distillation. - Sang-Ho Lee; KiYoon Yoo; Nojun Kwak (CoRR, 2020)

Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. - Jangho Kim; Jayeon Yoo; Yeji Song; KiYoon Yoo; Nojun Kwak (CoRR, 2021)

Self-Evolutionary Optimization for Pareto Front Learning. - Simyung Chang; KiYoon Yoo; Jiho Jang; Nojun Kwak (CoRR, 2021)

Self-Distilled Self-Supervised Representation Learning. - Jiho Jang; Seonhoon Kim; KiYoon Yoo; Jangho Kim; Nojun Kwak (CoRR, 2021)

Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. - KiYoon Yoo; Jangho Kim; Jiho Jang; Nojun Kwak (ACL (Findings), 2022)

Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. - KiYoon Yoo; Nojun Kwak (EMNLP, 2022)

Model Compression via Position-Based Scaled Gradient. - Jangho Kim; KiYoon Yoo; Nojun Kwak (IEEE Access, 2022)

Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. - KiYoon Yoo; Jangho Kim; Jiho Jang; Nojun Kwak (CoRR, 2022)

Robust Multi-bit Natural Language Watermarking through Invariant Features. - KiYoon Yoo; Wonhyuk Ahn; Jiho Jang; Nojun Kwak (ACL (1), 2023)

Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. - Jangho Kim; Jayeon Yoo; Yeji Song; KiYoon Yoo; Nojun Kwak (ACM Multimedia, 2023)

Self-Distilled Self-supervised Representation Learning. - Jiho Jang; Seonhoon Kim; KiYoon Yoo; Chaerin Kong; Jangho Kim; Nojun Kwak (WACV, 2023)

Robust Natural Language Watermarking through Invariant Features. - KiYoon Yoo; Wonhyuk Ahn; Jiho Jang; Nojun Kwak (CoRR, 2023)

Advancing Beyond Identification: Multi-bit Watermark for Language Models. - KiYoon Yoo; Wonhyuk Ahn; Nojun Kwak (CoRR, 2023)

Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features. - Inseop Chung; KiYoon Yoo; Nojun Kwak (CoRR, 2023)

TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis. - Hyeonjin Kim; Min Kim; Jae Jang; KiYoon Yoo; Nojun Kwak (ClinicalNLP@NAACL, 2024)

Advancing Beyond Identification: Multi-bit Watermark for Large Language Models. - KiYoon Yoo; Wonhyuk Ahn; Nojun Kwak (NAACL-HLT, 2024)

Imperceptible Protection against Style Imitation from Diffusion Models. - Namhyuk Ahn; Wonhyuk Ahn; KiYoon Yoo; Daesik Kim; Seung-Hun Nam (CoRR, 2024)

Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models. - Namhyuk Ahn; KiYoon Yoo; Wonhyuk Ahn; Daesik Kim; Seung-Hun Nam (CVPR, 2025)