MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction

26 May 2025

Papers citing "MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction"

34 / 34 papers shown

Title
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Hui Ma Kai Yang Yang Jiao OOD 84 0 0 25 May 2025
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 507 4 0 09 Oct 2024
Neural-Sim: Learning to Generate Training Data with NeRF Yunhao Ge Harkirat Singh Behl Lyne Tchapmi Suriya Gunasekar Neel Joshi Ya-heng Song Xin Eric Wang Laurent Itti Vibhav Vineet 127 33 0 22 Jul 2022
conformalInference.multi and conformalInference.fd: Twin Packages for Conformal Prediction Paolo Vergottini Matteo Fontana Jacopo Diquigiovanni Aldo Solari S. Vantini 85 1 0 29 Jun 2022
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting Vilde Jensen F. Bianchi S. N. Anfinsen AI4TS 93 37 0 17 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 139 1,357 0 30 Jan 2022
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning Chenxing Wang Fang Zhao Haichao Zhang Haiyong Luo Yanjun Qin Yuchen Fang AI4TS 91 18 0 20 Jan 2022
Stable Conformal Prediction Sets Eugène Ndiaye 110 21 0 19 Dec 2021
Understanding Domain Randomization for Sim-to-real Transfer Xiaoyu Chen Jiachen Hu Chi Jin Lihong Li Liwei Wang 99 115 0 07 Oct 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 120 607 0 15 Jul 2021
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models Zhen Lin Shubhendu Trivedi Jimeng Sun 113 21 0 01 Jun 2021
Recent Advances and Trends in Multimodal Deep Learning: A Review Jabeen Summaira Xi Li Amin Muhammad Shoib Songyuan Li Abdul Jabbar HAI 129 57 0 24 May 2021
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 275 55 0 17 Feb 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 172 1,893 0 12 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 104 238 0 06 Nov 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 118 256 0 15 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 90 330 0 07 Oct 2020
From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data Weiran Yao Sean Qian 82 49 0 29 Sep 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 106 724 0 24 Sep 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters Kaiyi Ji Jason D. Lee Yingbin Liang H. Vincent Poor 109 76 0 16 Jun 2020
Conformal Prediction: a Unified Review of Theory and New Challenges Matteo Fontana Gianluca Zeni S. Vantini 103 130 0 16 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 281 1,950 0 11 Apr 2020
Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks Bernardo Pérez Orozco Stephen J. Roberts AI4TS 76 9 0 26 Mar 2020
Meta-learning framework with applications to zero-shot time-series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio UQCV AI4TS AI4CE 117 109 0 07 Feb 2020
Nested conformal prediction and quantile out-of-bag ensemble methods Chirag Gupta Arun K. Kuchibhotla Aaditya Ramdas MQ 106 116 0 23 Oct 2019
Conformalized Quantile Regression Yaniv Romano Evan Patterson Emmanuel J. Candès 184 601 0 08 May 2019
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction Huaxiu Yao Yiding Liu Ying Wei Xianfeng Tang Z. Li AI4TS 104 222 0 24 Jan 2019
Learning To Simulate Nataniel Ruiz S. Schulter Manmohan Chandraker 109 119 0 05 Oct 2018
Active Learning for Wireless IoT Intrusion Detection Kai Yang Jie Ren Yanqiao Zhu Weiyi Zhang 65 100 0 04 Aug 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 351 129,831 0 12 Jun 2017
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang G. Cottrell AI4TS 85 1,225 0 07 Apr 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 151 2,948 0 20 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 416 28,795 0 09 Sep 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 161 831 0 14 Apr 2016