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Mark Coates

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Multi-resolution Time-Series Transformer for Long-term Forecasting

Nov 07, 2023
Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates

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Interacting Diffusion Processes for Event Sequence Forecasting

Oct 26, 2023
Mai Zeng, Florence Regol, Mark Coates

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Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN

Oct 13, 2023
Florence Regol, Joud Chataoui, Mark Coates

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Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification

Sep 24, 2023
Muberra Ozmen, Joseph Cotnareanu, Mark Coates

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Graph Inductive Biases in Transformers without Message Passing

May 27, 2023
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim

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Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems

May 02, 2023
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates

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Diffusing Gaussian Mixtures for Generating Categorical Data

Mar 08, 2023
Florence Regol, Mark Coates

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Spectral Augmentations for Graph Contrastive Learning

Feb 06, 2023
Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates

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Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network

Dec 29, 2022
Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng

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Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation

Nov 11, 2022
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates

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