BatsResearch/menghini-neurips23-code BatsResearch/menghini-neurips23-code

  • Stars
    star
    40
  • Rank 680,660 (Top 14 %)
  • Language
    Python
  • Created over 1 year ago
  • Updated 10 months ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
BatsResearch/menghini-neurips23-code
github

BatsResearch

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

bonito

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
Python
665
star
2

zsl-kg

Framework for zero-shot learning with knowledge graphs.
Python
111
star
3

csp

Learning to compose soft prompts for compositional zero-shot learning.
Python
82
star
4

wiser

Framework for weakly supervised deep sequence taggers, focused on named entity recognition
Python
80
star
5

alfred

A system for prompted weak supervision.
Python
37
star
6

nayak-aclfindings24-code

Python
20
star
7

taglets

Python
18
star
8

safranchik-aaai20-code

Python
15
star
9

labelmodels

Lightweight implementations of generative label models for weakly supervised machine learning
Python
14
star
10

nplm

A weak supervision framework for (partial) labeling functions
Python
12
star
11

efsl

Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
Python
11
star
12

LexC-Gen

Generate synthetic labeled data for extremely low-resource languages using bilingual lexicons.
Python
11
star
13

nayak-tmlr22-code

Python
9
star
14

yu-aistats22-code

Jupyter Notebook
6
star
15

amcl

Adversarial Multi Class Labeling
Python
5
star
16

fudd

Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
Python
5
star
17

piriyakulkij-mlsys22-code

Python
4
star
18

mazzetto-aistats21-code

Python
3
star
19

mazzetto-neurips22-code

Python
2
star
20

su-bigdata23-code

Code Repository for IEEE BigData 23 Paper "Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision"
Python
2
star
21

mazzetto-icml21-code

Python
1
star
22

mazzetto-arxiv23-code

An Adaptive Method for Weak Supervision with Drifting Data
Python
1
star
23

LexC-Gen-Data-Archive

Data Repository for LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
1
star