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Git-Theta: A Git Extension for Collaborative Development of Machine
  Learning Models

Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models

7 June 2023
Nikhil Kandpal
Brian Lester
Mohammed Muqeeth
Anisha Mascarenhas
Monty Evans
Vishal Baskaran
Tenghao Huang
Haokun Liu
Colin Raffel
    VLM
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Papers citing "Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models"

13 / 13 papers shown
Title
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Alex Warstadt
Aaron Mueller
Leshem Choshen
E. Wilcox
Chengxu Zhuang
...
Rafael Mosquera
Bhargavi Paranjape
Adina Williams
Tal Linzen
Ryan Cotterell
43
108
0
10 Apr 2025
Fusion of Graph Neural Networks via Optimal Transport
Fusion of Graph Neural Networks via Optimal Transport
Weronika Ormaniec
Michael Vollenweider
Elisa Hoskovec
MoMe
FedML
OT
75
0
0
27 Mar 2025
Realistic Evaluation of Model Merging for Compositional Generalization
Realistic Evaluation of Model Merging for Compositional Generalization
Derek Tam
Yash Kant
Brian Lester
Igor Gilitschenski
Colin Raffel
MoMe
35
6
0
26 Sep 2024
A Survey on Model MoErging: Recycling and Routing Among Specialized
  Experts for Collaborative Learning
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning
Prateek Yadav
Colin Raffel
Mohammed Muqeeth
Lucas Caccia
Haokun Liu
Tianlong Chen
Joey Tianyi Zhou
Leshem Choshen
Alessandro Sordoni
MoMe
49
21
0
13 Aug 2024
Lossless and Near-Lossless Compression for Foundation Models
Lossless and Near-Lossless Compression for Foundation Models
Moshik Hershcovitch
Leshem Choshen
Andrew Wood
Ilias Enmouri
Peter Chin
S. Sundararaman
Danny Harnik
49
6
0
05 Apr 2024
Conditional computation in neural networks: principles and research
  trends
Conditional computation in neural networks: principles and research trends
Simone Scardapane
Alessandro Baiocchi
Alessio Devoto
V. Marsocci
Pasquale Minervini
Jary Pomponi
34
1
0
12 Mar 2024
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
Minyoung Huh
Brian Cheung
Jeremy Bernstein
Phillip Isola
Pulkit Agrawal
35
10
0
26 Feb 2024
DiLoCo: Distributed Low-Communication Training of Language Models
DiLoCo: Distributed Low-Communication Training of Language Models
Arthur Douillard
Qixuang Feng
Andrei A. Rusu
Rachita Chhaparia
Yani Donchev
A. Kuncoro
MarcÁurelio Ranzato
Arthur Szlam
Jiajun Shen
61
31
0
14 Nov 2023
Transformer Fusion with Optimal Transport
Transformer Fusion with Optimal Transport
Moritz Imfeld
Jacopo Graldi
Marco Giordano
Thomas Hofmann
Sotiris Anagnostidis
Sidak Pal Singh
ViT
MoMe
32
16
0
09 Oct 2023
MGit: A Model Versioning and Management System
MGit: A Model Versioning and Management System
Wei Hao
Daniel Mendoza
Rafael Ferreira da Silva
Deepak Narayanan
Amar Phanishayee
VLM
27
1
0
14 Jul 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
255
316
0
11 Sep 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
213
1,661
0
15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,858
0
18 Apr 2021
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