Modeling Uncertainty with Hedged Instance Embedding

30 September 2018

Papers citing "Modeling Uncertainty with Hedged Instance Embedding"

25 / 25 papers shown

Title
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding Jinlong Li Cristiano Saltori Fabio Poiesi N. Sebe 270 0 0 20 Mar 2025
Probabilistic Language-Image Pre-Training Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun MLLM VLM CLIP 239 4 2 24 Oct 2024
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 56 6 0 10 Jul 2024
Domain Generalization with Small Data Kecheng Chen Elena Gal Hong Yan Haoliang Li OOD 29 5 0 09 Feb 2024
Multi-Similarity Contrastive Learning Emily Mu John Guttag Maggie Makar SSL 39 2 0 06 Jul 2023
Probabilistic Prompt Learning for Dense Prediction Hyeongjun Kwon Taeyong Song Somi Jeong Jin-Hwa Kim Jinhyun Jang Kwanghoon Sohn VLM 50 18 0 03 Apr 2023
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment Kecheng Chen Jie Liu Renjie Wan Victor Ho-Fun Lee Varut Vardhanabhuti Hong Yan Haoliang Li OOD 33 5 0 26 Feb 2023
Improving Cross-Modal Retrieval with Set of Diverse Embeddings Dongwon Kim Nam-Won Kim Suha Kwak 31 37 0 30 Nov 2022
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization Yiyang Chen Zhedong Zheng Wei Ji Leigang Qu Tat-Seng Chua 39 37 0 14 Nov 2022
ScaleFace: Uncertainty-aware Deep Metric Learning Roma Kail Kirill Fedyanin Nikita Muravev Alexey Zaytsev Maxim Panov CVBM UQCV 34 5 0 05 Sep 2022
Multimodal Lecture Presentations Dataset: Understanding Multimodality in Educational Slides Dong Won Lee Chaitanya Ahuja Paul Pu Liang Sanika Natu Louis-Philippe Morency 27 7 0 17 Aug 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 59 345 0 13 May 2022
Probabilistic Representations for Video Contrastive Learning Jungin Park Jiyoung Lee Ig-Jae Kim Kwanghoon Sohn SSL 38 44 0 08 Apr 2022
STUN: Self-Teaching Uncertainty Estimation for Place Recognition Kaiwen Cai Chris Xiaoxuan Lu Xiaowei Huang 31 11 0 03 Mar 2022
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification Sung Hwan Mun Min Hyun Han Dongjune Lee Jihwan Kim N. Kim SSL 45 3 0 16 Dec 2021
Temperature as Uncertainty in Contrastive Learning Oliver Zhang Mike Wu Jasmine Bayrooti Noah D. Goodman UQCV 27 30 0 08 Oct 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 38 60 0 01 Jul 2021
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation Ziwei Fan Zhiwei Liu Lei Zheng Shen Wang Philip S. Yu 40 49 0 11 Jun 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 29 39 0 29 Mar 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression Wanhua Li Xiaoke Huang Jiwen Lu Jianjiang Feng Jie Zhou UQCV 34 62 0 25 Mar 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 415 203 0 13 Jan 2021
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 39 22 0 05 Dec 2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg Martin Jørgensen Javier Civera Søren Hauberg UQCV 36 36 0 25 Nov 2020
Stochastic Prototype Embeddings Tyler R. Scott Karl Ridgeway Michael C. Mozer BDL UQCV 13 14 0 25 Sep 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015