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DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting


Jul 14, 2022
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi


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Learning Fast and Slow for Online Time Series Forecasting


Feb 23, 2022
Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi


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CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting


Feb 03, 2022
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi


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ETSformer: Exponential Smoothing Transformers for Time-series Forecasting


Feb 03, 2022
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi


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Merlion: A Machine Learning Library for Time Series


Sep 20, 2021
Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K C Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

* 22 pages, 1 figure, 14 tables 

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BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues


Oct 20, 2020
Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi


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Bilevel Continual Learning


Jul 30, 2020
Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H Hoi


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Adaptive Task Sampling for Meta-Learning


Jul 17, 2020
Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi

* ECCV2020 

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UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues


Apr 29, 2020
Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi


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Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism


Mar 09, 2020
Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-peng Lim, Steven C. H. Hoi


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