Interpreting Vision and Language Generative Models with Semantic Visual Priors

28 April 2023

Papers citing "Interpreting Vision and Language Generative Models with Semantic Visual Priors"

23 / 23 papers shown

Title
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation Julius Adebayo M. Muelly H. Abelson Been Kim 47 86 0 09 Dec 2022
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality Tristan Thrush Ryan Jiang Max Bartolo Amanpreet Singh Adina Williams Douwe Kiela Candace Ross CoGe 87 424 0 07 Apr 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 501 4,340 0 28 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 83 409 0 20 Jan 2022
A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis Yixin Li Chen Li Xiaoyan Li Kai Wang M. Rahaman Changhao Sun Hao Chen Xinran Wu Hong-Yu Zhang Qian Wang MedIm 35 51 0 29 Sep 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection Hanjie Chen Guangtao Zheng Yangfeng Ji FAtt 74 94 0 04 Apr 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.2K 12,181 0 27 Aug 2019
Visual Question Answering using Deep Learning: A Survey and Performance Analysis Yash Srivastava Vaishnav Murali S. Dubey Snehasis Mukherjee 82 48 0 27 Aug 2019
LXMERT: Learning Cross-Modality Encoder Representations from Transformers Hao Hao Tan Joey Tianyi Zhou VLM MLLM 227 2,477 0 20 Aug 2019
Metrics for Explainable AI: Challenges and Prospects R. Hoffman Shane T. Mueller Gary Klein Jordan Litman XAI 74 727 0 11 Dec 2018
From Recognition to Cognition: Visual Commonsense Reasoning Rowan Zellers Yonatan Bisk Ali Farhadi Yejin Choi LRM BDL OCL ReLM 153 879 0 27 Nov 2018
A Comprehensive Survey of Deep Learning for Image Captioning Md Zakir Hossain Ferdous Sohel M. Shiratuddin Hamid Laga VLM 3DV 81 774 0 06 Oct 2018
Deep Feature Factorization For Concept Discovery Edo Collins R. Achanta Sabine Süsstrunk 63 92 0 26 Jun 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 175 1,169 0 19 Jun 2018
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould Lei Zhang AIMat 113 4,214 0 25 Jul 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 192 3,869 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,986 0 04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 272 19,981 0 07 Oct 2016
Model-Agnostic Interpretability of Machine Learning Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 84 838 0 16 Jun 2016
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Shcherbina A. Kundaje FAtt 80 788 0 05 May 2016
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 244 4,667 0 21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 305 7,289 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 585 15,874 0 12 Nov 2013