ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models

ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models

1 July 2023

Uddeshya Upadhyay

Shyamgopal Karthik

Massimiliano Mancini

Papers citing "ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models"

12 / 12 papers shown

Title
Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Alexei Kaltchenko 51 0 0 30 Apr 2025
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms Uddeshya Upadhyay S. Bade Arjun Puranik S. Asfahan Melwin Babu ... S. Asirvatham Ashim Prasad A. Rajasekharan S. Awasthi R. Barve OOD 23 3 0 23 Nov 2023
A CLIP-Hitchhiker's Guide to Long Video Retrieval Max Bain Arsha Nagrani Gül Varol Andrew Zisserman CLIP 126 62 0 17 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 392 4,137 0 28 Jan 2022
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement Uddeshya Upadhyay Viswanath P. Sudarshan Suyash P. Awate MedIm 49 21 0 07 Oct 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 345 2,271 0 02 Sep 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 304 3,708 0 11 Feb 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions Todd P. Huster Jérémy E. Cohen Zinan Lin Kevin S. Chan Charles A. Kamhoua Nandi O. Leslie C. Chiang Vyas Sekar GAN 43 26 0 22 Jan 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 404 200 0 13 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 170 840 0 17 May 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015