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Bats Research's Projects

alfred icon alfred

A system for prompted weak supervision.

amcl icon amcl

Adversarial Multi Class Labeling

bonito icon bonito

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

clipseg icon clipseg

This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".

csp icon csp

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

efsl icon efsl

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

ex2 icon ex2

If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions

fudd icon fudd

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

labelmodels icon labelmodels

Lightweight implementations of generative label models for weakly supervised machine learning

lexc-gen icon lexc-gen

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

lexc-gen-data-archive icon lexc-gen-data-archive

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

menghini-neurips23-code icon menghini-neurips23-code

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

nplm icon nplm

A weak supervision framework for (partial) labeling functions

su-bigdata23-code icon su-bigdata23-code

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

wiser icon wiser

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

zsl-kg icon zsl-kg

Framework for zero-shot learning with knowledge graphs.

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