USB: A Unified Semi-supervised Learning Benchmark

microsoft/semi-supervised-learning 12 Aug 2022

Semi-supervised learning (SSL) improves model generalization by leveraging massive unlabeled data to augment limited labeled samples.

0.82 stars / hour

Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions

hust-linyi/seg_trick 21 Sep 2022

Over the past few years, the rapid development of deep learning technologies for computer vision has greatly promoted the performance of medical image segmentation (MedISeg).

Data Augmentation Domain Adaptation +3

0.66 stars / hour

From data to functa: Your data point is a function and you can treat it like one

deepmind/functa 28 Jan 2022

A powerful continuous alternative is then to represent these measurements using an implicit neural representation, a neural function trained to output the appropriate measurement value for any input spatial location.

Imputation Novel View Synthesis

0.58 stars / hour

High-Resolution Image Synthesis with Latent Diffusion Models

compvis/stable-diffusion CVPR 2022

By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond.

Denoising Image Inpainting +3

0.47 stars / hour

Diffusion Models: A Comprehensive Survey of Methods and Applications

YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy 2 Sep 2022

Diffusion models are a class of deep generative models that have shown impressive results on various tasks with a solid theoretical foundation.

Image Super-Resolution Text-to-Image Generation

0.46 stars / hour

Neural Architectures for Named Entity Recognition

PKU-TANGENT/nlp-tutorial NAACL 2016

State-of-the-art named entity recognition systems rely heavily on hand-crafted features and domain-specific knowledge in order to learn effectively from the small, supervised training corpora that are available.

named-entity-recognition NER

0.46 stars / hour

HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

huoxiangzuo/HiFuse 21 Sep 2022

A parallel hierarchy of local and global feature blocks is designed to efficiently extract local features and global representations at various semantic scales, with the flexibility to model at different scales and linear computational complexity relevant to image size.

Image Classification Inductive Bias +1

0.43 stars / hour

Efficient Few-Shot Learning Without Prompts

huggingface/setfit 22 Sep 2022

This simple framework requires no prompts or verbalizers, and achieves high accuracy with orders of magnitude less parameters than existing techniques.

Few-Shot Learning

0.41 stars / hour
0.38 stars / hour