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08/18/2023
Diffusion Models for Image Restoration and Enhancement – A Comprehensive Survey
Image restoration (IR) has been an indispensable and challenging task in...
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05/19/2023
LLM-Pruner: On the Structural Pruning of Large Language Models
Large language models (LLMs) have shown remarkable capabilities in langu...
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05/18/2023
Structural Pruning for Diffusion Models
Generative modeling has recently undergone remarkable advancements, prim...
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01/17/2023
Dataset Distillation: A Comprehensive Review
Recent success of deep learning can be largely attributed to the huge am...
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07/24/2022
Learning Graph Neural Networks for Image Style Transfer
State-of-the-art parametric and non-parametric style transfer approaches...
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03/03/2022
CAFE: Learning to Condense Dataset by Aligning Features
Dataset condensation aims at reducing the network training effort throug...
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10/27/2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Knowledge distillation (KD) aims to craft a compact student model that i...
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06/05/2019
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
Class imbalance has been one of the major challenges for medical image s...
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04/13/2018
