Learning by Transduction

30 January 2013

Papers citing "Learning by Transduction"

50 / 129 papers shown

Title
Exact and Approximate Conformal Inference for Multi-Output Regression Chancellor Johnstone Eugene Ndiaye 80 1 0 31 Oct 2022
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability I. Laña Ignacio I. Olabarrieta Javier Del Ser 64 1 0 28 Oct 2022
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models Naoya Takeishi Alexandros Kalousis AAML 94 3 0 24 Oct 2022
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods Alex Contarino Christine M. Schubert-Kabban Chancellor Johnstone Fairul Mohd-Zaid 98 3 0 07 Oct 2022
Test-Time Training with Masked Autoencoders Yossi Gandelsman Yu Sun Xinlei Chen Alexei A. Efros OOD 106 178 0 15 Sep 2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students Xueye Zheng Yuan Luo Hao Wang Chong Fu Lin Wang ViT 92 19 0 06 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 112 17 0 22 Aug 2022
Conformal Prediction Bands for Two-Dimensional Functional Time Series Niccolo Ajroldi Jacopo Diquigiovanni Matteo Fontana S. Vantini AI4TS 91 10 0 27 Jul 2022
PAC Prediction Sets for Meta-Learning Sangdon Park Yan Sun Insup Lee Osbert Bastani 96 16 0 06 Jul 2022
Towards Realistic Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan M. Shah 102 47 0 05 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan Salman Khan Fahad Shahbaz Khan M. Shah 117 51 0 05 Jul 2022
StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance Measures Mohammed Naveed Akram Akshatha Ambekar Ioannis Sorokos Koorosh Aslansefat Daniel Schneider OOD 43 3 0 17 Jun 2022
Epistemic Deep Learning Shireen Kudukkil Manchingal Fabio Cuzzolin UQCV BDL EDL FedML UD 74 6 0 15 Jun 2022
Deep Low-Density Separation for Semi-Supervised Classification Michael C. Burkhart Kyle Shan BDL 23 5 0 22 May 2022
Calibration of Natural Language Understanding Models with Venn--ABERS Predictors Patrizio Giovannotti 126 7 0 21 May 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks Seyed Mehran Kazemi Anton Tsitsulin Hossein Esfandiari M. Bateni Deepak Ramachandran Bryan Perozzi Vahab Mirrokni 127 3 0 20 May 2022
Progressive Class Semantic Matching for Semi-supervised Text Classification Hai-Ming Xu Lingqiao Liu Ehsan Abbasnejad VLM 68 11 0 20 May 2022
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting Vilde Jensen F. Bianchi S. N. Anfinsen AI4TS 208 39 0 17 Feb 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models Mannat Singh Laura Gustafson Aaron B. Adcock Vinicius de Freitas Reis B. Gedik Raj Prateek Kosaraju D. Mahajan Ross B. Girshick Piotr Dollár Laurens van der Maaten VLM 104 130 0 20 Jan 2022
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types Kihyuk Sohn Jinsung Yoon Chun-Liang Li Chen-Yu Lee Tomas Pfister 58 18 0 21 Dec 2021
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding Yushi Hirose Masashi Shimbo Taro Watanabe 32 1 0 01 Nov 2021
Applying Regression Conformal Prediction with Nearest Neighbors to time series data Samya Tajmouati B. E. Wahbi Mohamed Dakkon AI4TS 36 7 0 25 Oct 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 269 625 0 15 Jul 2021
Valid prediction intervals for regression problems Nicolas Dewolf B. De Baets Willem Waegeman 171 46 0 01 Jul 2021
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams Heitor Murilo Gomes Maciej Grzenda R. Mello Jesse Read Minh-Huong Le Nguyen Albert Bifet 118 46 0 16 Jun 2021
Conformal Bayesian Computation Edwin Fong Chris Holmes 210 24 0 11 Jun 2021
Conformal Uncertainty Sets for Robust Optimization Chancellor Johnstone Bruce A. Cox 175 35 0 31 May 2021
Bayes-optimal prediction with frequentist coverage control P. Hoff 82 22 0 28 May 2021
Root-finding Approaches for Computing Conformal Prediction Set Eugène Ndiaye Ichiro Takeuchi 83 10 0 14 Apr 2021
Copula-based conformal prediction for Multi-Target Regression S. Messoudi Sebastien Destercke Sylvain Rousseau 178 48 0 28 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 336 524 0 15 Jan 2021
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers Sébastien Montella Betty Fabre Tanguy Urvoy Johannes Heinecke L. Rojas-Barahona 83 14 0 01 Dec 2020
AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence Chengyue Gong Dilin Wang Qiang Liu FedML 65 43 0 23 Nov 2020
Watermarking Graph Neural Networks by Random Graphs Xiangyu Zhao Hanzhou Wu Xinpeng Zhang 58 39 0 01 Nov 2020
The Mathematical Foundations of Manifold Learning Luke Melas-Kyriazi AI4CE 68 18 0 30 Oct 2020
Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation Yinglin Duan Tianyang Shi Zhengxia Zou Jia Qin Yifei Zhao Yi Yuan Jie Hou Xiang Wen Chang Lab 29 4 0 27 Sep 2020
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Wonyong Jeong Jaehong Yoon Eunho Yang Sung Ju Hwang FedML 80 224 0 22 Jun 2020
Tent: Fully Test-time Adaptation by Entropy Minimization Dequan Wang Evan Shelhamer Shaoteng Liu Bruno A. Olshausen Trevor Darrell OOD 140 53 0 18 Jun 2020
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks Davood Karimi Simon K. Warfield Ali Gholipour MedIm 59 19 0 30 May 2020
Conformal Prediction: a Unified Review of Theory and New Challenges Matteo Fontana Gianluca Zeni S. Vantini 197 132 0 16 May 2020
Predicting Strategic Behavior from Free Text Omer Ben-Porat Sharon Hirsch Lital Kuchy Guy Elad Roi Reichart Moshe Tennenholtz 46 11 0 06 Apr 2020
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs Lu Bai Lixin Cui Edwin R. Hancock 60 8 0 08 Feb 2020
Relational Neural Machines G. Marra Michelangelo Diligenti Francesco Giannini Marco Gori Marco Maggini NAI BDL 103 39 0 06 Feb 2020
Semi-supervised Learning via Conditional Rotation Angle Estimation Hai-Ming Xu Lingqiao Liu Dong Gong 19 4 0 09 Jan 2020
Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis Qin Wang Gabriel Michau Olga Fink 61 55 0 07 Jan 2020
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group) Zied Bouraoui Antoine Cornuéjols Thierry Denoeux Sebastien Destercke Didier Dubois ... Jérôme Mengin H. Prade Steven Schockaert M. Serrurier Christel Vrain 128 14 0 13 Dec 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring David Berthelot Nicholas Carlini E. D. Cubuk Alexey Kurakin Kihyuk Sohn Han Zhang Colin Raffel 104 684 0 21 Nov 2019
Negative sampling in semi-supervised learning John Chen Vatsal Shah Anastasios Kyrillidis 52 23 0 12 Nov 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 85 27 0 01 Oct 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 99 96 0 29 Sep 2019