ArtificialIntelligence

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Papers with Code - Zero-Shot Learning
Papers with Code - Zero-Shot Learning
**Zero-shot learning (ZSL)** is a model's ability to detect classes never seen during training. The condition is that the classes are not known during supervised learning. Earlier work in zero-shot learning use attributes in a two-step approach to infer unknown classes. In the computer vision context, more recent advances learn mappings from image feature space to semantic space. Other approaches learn non-linear multimodal embeddings. In the modern NLP context, language models can be evaluated on downstream tasks without fine tuning. Benchmark datasets for zero-shot learning include [aPY](/dataset/apy), [AwA](/dataset/awa2-1), and [CUB](/dataset/cub-200-2011), among others. ( Image credit: [Prototypical Networks for Few shot Learning in PyTorch ](https://github.com/orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch) ) Further readings: - [Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly](https://paperswithcode.com/paper/zero-shot-learning-a-comprehensive-evaluation) - [Zero-Shot Learning in Modern NLP](https://joeddav.github.io/blog/2020/05/29/ZSL.html) - [Zero-Shot Learning for Text Classification](https://amitness.com/2020/05/zero-shot-text-classification/)
·paperswithcode.com·
Papers with Code - Zero-Shot Learning
ikaijua/Awesome-AITools: Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具,欢迎提交issues 或者pull requests
ikaijua/Awesome-AITools: Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具,欢迎提交issues 或者pull requests
Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具,欢迎提交issues 或者pull requests - ikaijua/Awesome-AITools: Collection of AI-related utilities. Welcome to subm...
·github.com·
ikaijua/Awesome-AITools: Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具,欢迎提交issues 或者pull requests
PromtEngineer/localGPT: Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
PromtEngineer/localGPT: Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private. - PromtEngineer/localGPT: Chat with your documents on your local device using GPT model...
·github.com·
PromtEngineer/localGPT: Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.