A General Framework for Uncertainty Estimation in Deep Learning

16 July 2019

Papers citing "A General Framework for Uncertainty Estimation in Deep Learning"

8 / 8 papers shown

Title
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Abrar Anwar Rohan Gupta Zain Merchant Sayan Ghosh Willie Neiswanger Jesse Thomason OffRL 93 1 0 14 Feb 2025
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation Taha Koleilat Hojat Asgariandehkordi H. Rivaz Yiming Xiao MedIm VLM 65 8 0 28 Sep 2024
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners Zhi Zheng Qian Feng Hang Li Alois C. Knoll Jianxiang Feng 115 6 0 01 Jun 2024
Deep Drone Racing: Learning Agile Flight in Dynamic Environments Elia Kaufmann Antonio Loquercio René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 36 135 0 22 Jun 2018
Deep Generative Markov State Models Hao Wu Andreas Mardt Luca Pasquali Frank Noe AI4CE 28 60 0 19 May 2018
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones Daniele Palossi Antonio Loquercio Francesco Conti Eric Flamand Davide Scaramuzza Luca Benini 193 158 0 04 May 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 52 525 0 18 Apr 2018
Tractable Inference for Complex Stochastic Processes Xavier Boyen D. Koller TPM 55 659 0 30 Jan 2013