ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.08898
  4. Cited By
Few-shot Conformal Prediction with Auxiliary Tasks

Few-shot Conformal Prediction with Auxiliary Tasks

17 February 2021
Adam Fisch
Tal Schuster
Tommi Jaakkola
Regina Barzilay
ArXivPDFHTML

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

9 / 9 papers shown
Title
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining
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
83
1
0
29 Apr 2025
Multivariate Conformal Prediction using Optimal Transport
Multivariate Conformal Prediction using Optimal Transport
Michal Klein
Louis Béthune
Eugène Ndiaye
Marco Cuturi
OT
47
3
0
05 Feb 2025
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
32
2
0
09 Oct 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
Harry Zhang
Luca Carlone
3DH
54
1
0
27 May 2024
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
77
125
0
03 Oct 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
173
160
0
07 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
4,940
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
243
8,157
0
06 Jun 2015
1