BatsResearch/yu-aistats22-code

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BatsResearch/yu-aistats22-code

BatsResearch

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bonito

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

zsl-kg

Framework for zero-shot learning with knowledge graphs.

csp

Learning to compose soft prompts for compositional zero-shot learning.

wiser

Framework for weakly supervised deep sequence taggers, focused on named entity recognition

menghini-neurips23-code

Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.

alfred

A system for prompted weak supervision.

nayak-aclfindings24-code

taglets

safranchik-aaai20-code

labelmodels

Lightweight implementations of generative label models for weakly supervised machine learning

nplm

A weak supervision framework for (partial) labeling functions

efsl

Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks

LexC-Gen

Generate synthetic labeled data for extremely low-resource languages using bilingual lexicons.

nayak-tmlr22-code

amcl

Adversarial Multi Class Labeling

fudd

Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification

piriyakulkij-mlsys22-code

mazzetto-aistats21-code

mazzetto-neurips22-code

su-bigdata23-code

Code Repository for IEEE BigData 23 Paper "Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision"

mazzetto-icml21-code

mazzetto-arxiv23-code

An Adaptive Method for Weak Supervision with Drifting Data

LexC-Gen-Data-Archive

Data Repository for LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons