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Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences

Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences

10 July 2024
Nikolaos Dimitriadis
Pascal Frossard
F. Fleuret
    MoE
ArXivPDFHTML

Papers citing "Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences"

6 / 6 papers shown
Title
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Weiyu Chen
Xiaoyuan Zhang
Baijiong Lin
Xi Victoria Lin
Han Zhao
Qingfu Zhang
James T. Kwok
68
1
0
19 Jan 2025
MoIN: Mixture of Introvert Experts to Upcycle an LLM
MoIN: Mixture of Introvert Experts to Upcycle an LLM
Ajinkya Tejankar
K. Navaneet
Ujjawal Panchal
Kossar Pourahmadi
Hamed Pirsiavash
MoE
24
0
0
13 Oct 2024
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
Xiaoyuan Zhang
Liang Zhao
Yingying Yu
Xi Lin
Yifan Chen
Han Zhao
Qingfu Zhang
AI4CE
34
3
0
04 Sep 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
25
10
0
26 Feb 2024
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
275
3,784
0
18 Apr 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
420
15,438
0
02 Nov 2015
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