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 74 0 0 25 May 2025
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 474 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 120 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 78 1 0 29 Jun 2022
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting Vilde Jensen F. Bianchi S. N. Anfinsen AI4TS 88 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 135 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 86 18 0 20 Jan 2022
Stable Conformal Prediction Sets Eugène Ndiaye 105 21 0 19 Dec 2021
Understanding Domain Randomization for Sim-to-real Transfer Xiaoyu Chen Jiachen Hu Chi Jin Lihong Li Liwei Wang 94 115 0 07 Oct 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 115 607 0 15 Jul 2021
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models Zhen Lin Shubhendu Trivedi Jimeng Sun 108 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 124 57 0 24 May 2021
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 270 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 167 1,893 0 12 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 100 238 0 06 Nov 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 112 256 0 15 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 87 330 0 07 Oct 2020
From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data Weiran Yao Sean Qian 79 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 101 724 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 107 76 0 16 Jun 2020
Conformal Prediction: a Unified Review of Theory and New Challenges Matteo Fontana Gianluca Zeni S. Vantini 101 130 0 16 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 279 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 72 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 115 109 0 07 Feb 2020
Nested conformal prediction and quantile out-of-bag ensemble methods Chirag Gupta Arun K. Kuchibhotla Aaditya Ramdas MQ 101 116 0 23 Oct 2019
Conformalized Quantile Regression Yaniv Romano Evan Patterson Emmanuel J. Candès 164 601 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 100 222 0 24 Jan 2019
Learning To Simulate Nataniel Ruiz S. Schulter Manmohan Chandraker 102 119 0 05 Oct 2018
Active Learning for Wireless IoT Intrusion Detection Kai Yang Jie Ren Yanqiao Zhu Weiyi Zhang 61 100 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 338 129,831 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 78 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 147 2,948 0 20 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 411 28,795 0 09 Sep 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 159 831 0 14 Apr 2016