DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
IEEE

Toward Enhancing LightWeight GAN for Text-Guided Generation of Animated Character Faces

Abstract: Traditional text-guided image generation methods primarily focus on modifying existing images or altering specific elements, which limits their applicability. This paper introduces a ...
IEEE

Counterfactual Medical Images Generation for Lung Disease Diagnosis Using Probabilistic Causal Models and Active Learning

Abstract: Recent advancements in deep learning have shown promise in diagnosing lung diseases from medical images, but these methods often lack causal inference capabilities, limiting their ...
GitHub

LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis

This repository provides the pytorch code for the paper "LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis" by Yong Xuan Tan, Jit Yan Lim, Kian Ming Lim, ...