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Model Stock: All we need is just a few fine-tuned models

Model Stock: All we need is just a few fine-tuned models

28 March 2024
Dong-Hwan Jang
Sangdoo Yun
Dongyoon Han
    OODD
    MoMe
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Papers citing "Model Stock: All we need is just a few fine-tuned models"

14 / 14 papers shown
Title
Bielik 11B v2 Technical Report
Bielik 11B v2 Technical Report
Krzysztof Ociepa
Łukasz Flis
Krzysztof Wróbel
Adrian Gwoździej
Remigiusz Kinas
48
0
0
05 May 2025
RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment
RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment
Chao Wang
Giulio Franzese
A. Finamore
Pietro Michiardi
94
0
0
18 Mar 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs
Zhongzhan Huang
Guoming Ling
Vincent S. Liang
Yupei Lin
Yandong Chen
Shanshan Zhong
Hefeng Wu
LRM
86
5
0
08 Mar 2025
LEWIS (LayEr WIse Sparsity) -- A Training Free Guided Model Merging Approach
Hetarth Chopra
Vidhi Rambhia
Vikram Adve
MoMe
77
0
0
05 Mar 2025
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
62
655
0
21 Feb 2022
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
118
1,191
0
18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
147
9,946
0
17 Jun 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
257
438
0
17 Feb 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
207
6,657
0
23 Dec 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
213
1,715
0
29 Jun 2020
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
153
1,454
0
16 Jul 2019
Learning Robust Global Representations by Penalizing Local Predictive
  Power
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
60
944
0
29 May 2019
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
197
43,511
0
17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
717
39,383
0
01 Sep 2014
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