Time2Vec: Learning a Vector Representation of Time

11 July 2019

Papers citing "Time2Vec: Learning a Vector Representation of Time"

33 / 33 papers shown

Title
FoMoH: A clinically meaningful foundation model evaluation for structured electronic health records Chao Pang Vincent Jeanselme Young Sang Choi Xinzhuo Jiang Zilin Jing ... Yuta Kobayashi Yanwei Li Florent Pollet Karthik Natarajan Shalmali Joshi 224 0 0 22 May 2025
Rethinking Time Encoding via Learnable Transformation Functions Xi Chen Yateng Tang Jiarong Xu Jiawei Zhang Siwei Zhang Sijia Peng Xuehao Zheng Yun Xiong AI4TS 200 0 0 01 May 2025
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction Zhiqiang Liu Yin Hua Yin Hua Zhuo Chen Ziqi Liu Lei Liang Ningyu Zhang Wen Zhang AI4TS 75 1 0 11 Nov 2024
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach Xingfang Wu Heng Li Foutse Khomh AI4TS 100 0 0 30 Sep 2024
A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System Igor L.R. Azevedo Toyotaro Suzumura Yuichiro Yasui 125 0 0 12 Jul 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion Xing Han Huy Nguyen Carl Harris Nhat Ho Suchi Saria MoE 113 22 0 05 Feb 2024
Asynchronous Graph Generator Christopher P. Ley Felipe Tobar AI4TS 138 0 0 29 Sep 2023
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 105 462 0 27 May 2019
Learning Temporal Point Processes via Reinforcement Learning Shuang Li Shuai Xiao Shixiang Zhu Nan Du Yao Xie Le Song AI4TS 97 105 0 12 Nov 2018
Streaming Graph Neural Networks Yao Ma Ziyi Guo Zhaochun Ren Eric Zhao Jiliang Tang Dawei Yin GNN 71 238 0 24 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 452 5,168 0 19 Jun 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim Edward Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 69 252 0 28 May 2018
Deep Reinforcement Learning of Marked Temporal Point Processes U. Upadhyay A. De Manuel Gomez Rodriguez BDL OffRL 61 112 0 23 May 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 158 490 0 26 Mar 2018
Can recurrent neural networks warp time? Corentin Tallec Yann Ollivier CLL AI4CE 135 136 0 23 Mar 2018
SimplE Embedding for Link Prediction in Knowledge Graphs Seyed Mehran Kazemi David Poole 87 720 0 13 Feb 2018
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks Victor Campos Brendan Jou Xavier Giró-i-Nieto Jordi Torres Shih-Fu Chang 71 219 0 22 Aug 2017
Time-Dependent Representation for Neural Event Sequence Prediction Yang Li Nan Du Samy Bengio AI4TS 49 59 0 31 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 805 132,725 0 12 Jun 2017
Neural Decomposition of Time-Series Data for Effective Generalization Luke B. Godfrey Michael S. Gashler AI4TS 57 62 0 25 May 2017
Wasserstein Learning of Deep Generative Point Process Models Shuai Xiao Mehrdad Farajtabar X. Ye Junchi Yan Le Song H. Zha DiffM 74 169 0 23 May 2017
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs Rakshit S. Trivedi H. Dai Yichen Wang Le Song BDL 85 478 0 16 May 2017
Convolutional Sequence to Sequence Learning Jonas Gehring Michael Auli David Grangier Denis Yarats Yann N. Dauphin AIMat 174 3,290 0 08 May 2017
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences Daniel Neil Michael Pfeiffer Shih-Chii Liu AI4TS 76 448 0 29 Oct 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 194 10,924 0 03 Jul 2016
Modeling Missing Data in Clinical Time Series with RNNs Zachary Chase Lipton David C. Kale R. Wetzel AI4TS 89 230 0 13 Jun 2016
evt_MNIST: A spike based version of traditional MNIST Mazdak Fatahi M. Ahmadi Mahyar Shahsavari A. Ahmadi P. Devienne 35 23 0 22 Apr 2016
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks Edward Choi M. T. Bahadori A. Schuetz Walter F. Stewart Jimeng Sun 179 1,104 0 18 Nov 2015
LSTM: A Search Space Odyssey Klaus Greff R. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber AI4TS VLM 135 5,315 0 13 Mar 2015
A Review of Relational Machine Learning for Knowledge Graphs Maximilian Nickel Kevin Patrick Murphy Volker Tresp E. Gabrilovich 193 1,580 0 02 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 404 33,573 0 16 Oct 2013