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POND: Multi-Source Time Series Domain Adaptation with Information-Aware
  Prompt Tuning
v1v2v3 (latest)

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning

19 December 2023
Junxiang Wang
Guangji Bai
Wei Cheng
Zhengzhang Chen
Liang Zhao
Haifeng Chen
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning"

19 / 19 papers shown
Title
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Ming Jin
Shiyu Wang
Lintao Ma
Zhixuan Chu
James Y. Zhang
...
Pin-Yu Chen
Yuxuan Liang
Yuan-Fang Li
Shirui Pan
Qingsong Wen
AI4TS
108
409
0
03 Oct 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for
  Time Series
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
Chenxi Sun
Hongyan Li
Yaliang Li
linda Qiao
AI4TS
80
129
0
16 Aug 2023
Domain Specialization as the Key to Make Large Language Models
  Disruptive: A Comprehensive Survey
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Chen Ling
Xujiang Zhao
Jiaying Lu
Chengyuan Deng
Can Zheng
...
Chris White
Quanquan Gu
Jian Pei
Carl Yang
Liang Zhao
ALM
117
137
0
30 May 2023
PromptCast: A New Prompt-based Learning Paradigm for Time Series
  Forecasting
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue
Flora D.Salim
AI4TS
112
161
0
20 Sep 2022
IDPG: An Instance-Dependent Prompt Generation Method
IDPG: An Instance-Dependent Prompt Generation Method
Zhuofeng Wu
Sinong Wang
Jiatao Gu
Rui Hou
Yuxiao Dong
V. Vydiswaran
Hao Ma
VLM
73
61
0
09 Apr 2022
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Mohamed Ragab
Emadeldeen Eldele
Wee Ling Tan
Chuan-Sheng Foo
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
TTAOODAI4TS
60
71
0
15 Mar 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang
linda Qiao
AI4TS
75
122
0
08 Feb 2022
Self-supervised Autoregressive Domain Adaptation for Time Series Data
Self-supervised Autoregressive Domain Adaptation for Time Series Data
Mohamed Ragab
Emadeldeen Eldele
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
AI4TS
64
51
0
29 Nov 2021
TS2Vec: Towards Universal Representation of Time Series
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue
Yujing Wang
Juanyong Duan
Tianmeng Yang
Congrui Huang
Yu Tong
Bixiong Xu
AI4TS
87
580
0
19 Jun 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
579
4,077
0
18 Apr 2021
Time Series Domain Adaptation via Sparse Associative Structure Alignment
Time Series Domain Adaptation via Sparse Associative Structure Alignment
Ruichu Cai
Jiawei Chen
Zijian Li
Wei Chen
Keli Zhang
Junjian Ye
Zhuozhang Li
Xiaoyan Yang
Zhenjie Zhang
CMLTTAOODAI4TS
66
92
0
22 Dec 2020
Multi-Source Deep Domain Adaptation with Weak Supervision for
  Time-Series Sensor Data
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data
Garrett Wilson
J. Doppa
D. Cook
TTAAI4TSAI4CE
73
149
0
22 May 2020
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic
  Survey
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
Sicheng Zhao
Yue Liu
Colorado Reed
Pengfei Xu
Kurt Keutzer
72
106
0
26 Feb 2020
Domain Agnostic Learning with Disentangled Representations
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng
Zijun Huang
Ximeng Sun
Kate Saenko
OODDRL
78
265
0
28 Apr 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
150
1,328
0
10 Mar 2019
On Minimum Discrepancy Estimation for Deep Domain Adaptation
On Minimum Discrepancy Estimation for Deep Domain Adaptation
Mohammad Mahfujur Rahman
Clinton Fookes
Mahsa Baktash
Sridha Sridharan
OOD
95
69
0
02 Jan 2019
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
233
2,237
0
08 Mar 2018
A DIRT-T Approach to Unsupervised Domain Adaptation
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu
Hung Bui
Hirokazu Narui
Stefano Ermon
75
625
0
23 Feb 2018
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
105
3,161
0
06 Jul 2016
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