[Review] Data-Free Quantization via Pseudo-label Filtering, CVPR, 2024
Zero Shot Quantization
Paper Review
[Review] GENIE: Show Me the Data for Quantization, CVPR, 2023
Zero Shot Quantization
[Review] Similarity of Neural Architectures using Adversarial Attack Transferability, ECCV, 2024
Model Similarity
[Review] Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability, CVPR, 2024
Evaluation metric for generative models
[Review] Averaging Weights Leads to Wider Optima and Better Generalization, IJAI, 2018
Stocahstic Weight Averaging
[Review] MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases, ICML, 2024
Sub-billion scale LLM
[Review] Improved Feature Distillation via Projector Ensemble, NeurIPS, 2022
FC Layer Ensemble을 이용한 Feature based KD
[Review] Anomaly Detection via Reverse Distillation from One-Class Embedding, CVPR, 2022
Knowledge Distillation을 이용한 Anomaly detection
[Review] Rethinking Soft Labels For Knowledge Distillation: A Bias-Variance Tradeoff Perspective, ICLR, 2021
Variance와 Bias 관점에서의 Knowledge Distillation
[Review] Distilling the Knowledge in a Neural Network, NIPS, 2014
Knowledge Distillation 분야의 시작