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Seoul Nat'l University
- Seoul, Korea
- https://scholar.google.com/citations?user=8JKsHJcAAAAJ&hl=en
- @JangHyun_k
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Speaker_Verification
Speaker_Verification PublicTensorflow implementation of "Generalized End-to-End Loss for Speaker Verification"
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snu-mllab/PuzzleMix
snu-mllab/PuzzleMix PublicOfficial PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
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snu-mllab/Efficient-Dataset-Condensation
snu-mllab/Efficient-Dataset-Condensation PublicOfficial PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
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snu-mllab/Co-Mixup
snu-mllab/Co-Mixup PublicOfficial PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
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snu-mllab/Context-Memory
snu-mllab/Context-Memory PublicPytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)
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snu-mllab/KVzip
snu-mllab/KVzip PublicQuery-agnostic KV cache eviction: 3–4× reduction in memory and 2× decrease in latency (Qwen3/2.5, Gemma3, LLaMA3)
Python 7
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