Sungnyun Kim
11 papers · 2022–2025 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(11)
Learning Types Β· Machine Learning
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(5)
Application Areas
(4)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Speech & Audio
(2)
Core Methods
(2)
Domain-Specific
(2)
Generation
(2)
Learning Paradigms
(1)
Keywords
knowledge distillation
(3)
multimodal learning
(2)
self-supervised pretraining
(2)
self-supervised learning
(2)
representation learning
(2)
speaker verification
(1)
domain adaptation
(1)
contrastive learning
(1)
facial animation
(1)
supervised learning
(1)
fine-grained classification
(1)
flow matching
(1)
transfer learning
(1)
mutual information
(1)
open-set learning
(1)
fine-grained recognition
(1)
supervised classification
(1)
latent space
(1)
zero-shot learning
(1)
model compression
(1)
Papers
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
ICML 2025
MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation
ICCV 2025
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
ICML 2025
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
ICLR 2025
DistiLLM: Towards Streamlined Distillation for Large Language Models
ICML 2024
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
EMNLP 2024
Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning
CVPR 2023
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification
Interspeech 2023
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation
Interspeech 2023
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network
AAAI 2023
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
NeurIPS 2022