A quick reimplementation of the two datasets ("digits" and "commands") proposed in the paper "An Investigation of Few-Shot Learning in Spoken Term Classification"
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Updated
Mar 13, 2024 - Python
A quick reimplementation of the two datasets ("digits" and "commands") proposed in the paper "An Investigation of Few-Shot Learning in Spoken Term Classification"
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
A demonstration repo for how to do automatic translation using local llms.
XCS224U - Winter 2021 - Syed/Aiswarya - Intent Classification - Few Shot - Code and Dataset
Evaluation framework for different few-shot-learning algorithm
NAACL'21 A Comparative Study on Schema-Guided Dialogue State Tracking
Generative AI - Use Watsonx to respond to natural language questions using RAG (context, few-shot, watson-studio, rag, vector-database, foundation-models, llm, prompt-engineering, retrieval-augmented-generation, milvus).
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning. NAACL 2024.
MetaVAE Implementation in Pytorch
Limit the use of end-to-end data for Speech Translation (by leveraging Automatic Speech Recognition and Machine Translation data instead) using zero-shot multilingual text translation techniques.
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP 2023.
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography
Cross domain few-shot transfer learning from MiniImageNet to EuroSAT_RGB and CUB
Triplet Loss implementation of Deep Speaker
Official code for "Multi-Level Motion Attention with Contrastive Learning for Few-shot Action Recognition" (IICASSP2024)
Official implementation of the EACL Findings 2024 paper: Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
Code of the paper "Multi-Task Meta-Learning Modification with Stochastic Approximation".
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