Few-shot Conformal Prediction with Auxiliary Tasks

17 February 2021

Papers citing "Few-shot Conformal Prediction with Auxiliary Tasks"

47 / 47 papers shown

Title
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining Weizhen He Yunfeng Yan Shixiang Tang Yiheng Deng Yangyang Zhong Pengxin Luo Donglian Qi VLM 94 1 0 29 Apr 2025
Multivariate Conformal Prediction using Optimal Transport Michal Klein Louis Béthune Eugène Ndiaye Marco Cuturi OT 59 3 0 05 Feb 2025
Semi-Supervised Risk Control via Prediction-Powered Inference Bat-Sheva Einbinder Liran Ringel Yaniv Romano 74 0 0 15 Dec 2024
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 77 3 0 09 Oct 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning Jiaqi Wang Chenxu Zhao Lingjuan Lyu Quanzeng You Mengdi Huai Fenglong Ma FedML 37 3 0 03 Jul 2024
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration Yuanjie Shi Subhankar Ghosh Taha Belkhouja J. Doppa Yan Yan 32 0 0 10 Jun 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 66 1 0 27 May 2024
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction Ramya Ramalingam Sangdon Park Osbert Bastani 26 1 0 24 May 2024
Conformal Prediction for Natural Language Processing: A Survey Margarida M. Campos António Farinhas Chrysoula Zerva Mário A. T. Figueiredo André F. T. Martins AI4CE 40 14 0 03 May 2024
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data Xin Zou Weiwei Liu 16 2 0 29 Mar 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors Dennis Ulmer Chrysoula Zerva André F. T. Martins 29 11 0 01 Feb 2024
SymmPI: Predictive Inference for Data with Group Symmetries Edgar Dobriban Mengxin Yu 16 2 0 26 Dec 2023
Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data Shiladitya Dutta Hongbo Wei L. Laan Ahmed Alaa 32 5 0 15 Oct 2023
Conformal Prediction for Deep Classifier via Label Ranking Jianguo Huang Huajun Xi Linjun Zhang Huaxiu Yao Yue Qiu Hongxin Wei 39 21 0 10 Oct 2023
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees Nicolas Deutschmann Marvin Alberts María Rodríguez Martínez UQLM 37 11 0 07 Sep 2023
Conformalization of Sparse Generalized Linear Models E. Guha Eugène Ndiaye X. Huo 25 3 0 11 Jul 2023
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data Kevin Kasa Graham W. Taylor 30 2 0 03 Jul 2023
Conformal Language Modeling Victor Quach Adam Fisch Tal Schuster Adam Yala J. Sohn Tommi Jaakkola Regina Barzilay 77 55 0 16 Jun 2023
On the Expected Size of Conformal Prediction Sets Guneet Singh Dhillon George Deligiannidis Tom Rainforth 21 8 0 12 Jun 2023
Conformalizing Machine Translation Evaluation Chrysoula Zerva André F.T. Martins 19 3 0 09 Jun 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu Yaodong Yu Sai Praneeth Karimireddy Michael I. Jordan Ramesh Raskar FedML 34 21 0 27 May 2023
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees Jiechen Chen Sangwoo Park Osvaldo Simeone 29 7 0 18 May 2023
Conformal Loss-Controlling Prediction Di Wang Pingping Wang Zhong Ji Xiaojun Yang Hongyue Li 20 1 0 06 Jan 2023
ACon $^2$ : Adaptive Conformal Consensus for Provable Blockchain Oracles Sangdon Park Osbert Bastani Taesoo Kim 30 9 0 17 Nov 2022
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction Roel Hulsman 16 5 0 26 Oct 2022
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction Sangwoo Park K. Cohen Osvaldo Simeone 18 13 0 06 Oct 2022
A novel Deep Learning approach for one-step Conformal Prediction approximation Julia A. Meister K. Nguyen S. Kapetanakis Zhiyuan Luo 16 5 0 25 Jul 2022
Semantic uncertainty intervals for disentangled latent spaces S. Sankaranarayanan Anastasios Nikolas Angelopoulos Stephen Bates Yaniv Romano Phillip Isola UQCV 23 21 0 20 Jul 2022
PAC Prediction Sets for Meta-Learning Sangdon Park Edgar Dobriban Insup Lee Osbert Bastani 17 15 0 06 Jul 2022
Recommendation Systems with Distribution-Free Reliability Guarantees Anastasios Nikolas Angelopoulos K. Krauth Stephen Bates Yixin Wang Michael I. Jordan 30 12 0 04 Jul 2022
Split Localized Conformal Prediction Xing Han Ziyang Tang Joydeep Ghosh Qiang Liu 10 18 0 27 Jun 2022
A Confidence Machine for Sparse High-Order Interaction Model Diptesh Das Eugène Ndiaye Ichiro Takeuchi TPM 20 2 0 28 May 2022
Calibration of Natural Language Understanding Models with Venn--ABERS Predictors Patrizio Giovannotti 38 6 0 21 May 2022
Conformal Prediction with Temporal Quantile Adjustments Zhen Lin Shubhendu Trivedi Jimeng Sun AI4TS 49 18 0 20 May 2022
Conformal Prediction Sets with Limited False Positives Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 14 23 0 15 Feb 2022
Stable Conformal Prediction Sets Eugène Ndiaye 31 20 0 19 Dec 2021
Conformal prediction for text infilling and part-of-speech prediction N. Dey Jing Ding Jack G. Ferrell Carolina Kapper Maxwell Lovig Emiliano Planchon Jonathan P. Williams UQLM 14 19 0 04 Nov 2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 95 125 0 03 Oct 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 36 581 0 15 Jul 2021
PAC Prediction Sets Under Covariate Shift Sangdon Park Edgar Dobriban Insup Lee Osbert Bastani 24 42 0 17 Jun 2021
Consistent Accelerated Inference via Confident Adaptive Transformers Tal Schuster Adam Fisch Tommi Jaakkola Regina Barzilay AI4TS 184 69 0 18 Apr 2021
Root-finding Approaches for Computing Conformal Prediction Set Eugène Ndiaye Ichiro Takeuchi 23 10 0 14 Apr 2021
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 176 185 0 07 Jan 2021
Conformal prediction for time series Chen Xu Yao Xie AI4TS 40 32 0 18 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 311 11,681 0 09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 282 9,136 0 06 Jun 2015