115 citations · 205 across the 11 of their papers we have counts for
13 papers
Temporal Dynamic Quantization for Diffusion Models
Junhyuk So, Jungwon Lee, Daehyun Ahn +2
The diffusion model has gained popularity in vision applications due to its remarkable generative performance and versatility. However, high storage and computation demands, result…
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization
Sein Park, Yeongsang Jang, Eunhyeok Park
Robust quantization improves the tolerance of networks for various implementations, allowing reliable output in different bit-widths or fragmented low-precision arithmetic. In this…
NIPQ: Noise proxy-based Integrated Pseudo-Quantization
Juncheol Shin, Junhyuk So, Sein Park +3
Straight-through estimator (STE), which enables the gradient flow over the non-differentiable function via approximation, has been favored in studies related to quantization-aware…
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
Ilchae Jung, Minji Kim, Eunhyeok Park +1
This paper presents a novel hybrid representation learning framework for streaming data, where an image frame in a video is modeled by an ensemble of two distinct deep neural netwo…
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold
Changhun Lee, Hyungjun Kim, Eunhyeok Park +1
Binary Neural Networks (BNNs) have emerged as a promising solution for reducing the memory footprint and compute costs of deep neural networks, but they suffer from quality degrada…
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models
Sungmin Cho, Hongjun Lim, Keunchan Park +2
Personalized news recommendation aims to provide attractive articles for readers by predicting their likelihood of clicking on a certain article. To accurately predict this probabi…