Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes

19 August 2023

Papers citing "Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes"

9 / 9 papers shown

Title
Multimodal Contrastive In-Context Learning Yosuke Miyanishi Minh Le Nguyen 32 2 0 23 Aug 2024
Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities Delfina Sol Martinez Pandiani Erik Tjong Kim Sang Davide Ceolin 29 2 0 11 Jun 2024
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 270 4,244 0 30 Jan 2023
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study Kinshuk Sengupta Praveen Ranjan Srivastava 28 6 0 22 Jan 2022
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 234 156 0 15 Oct 2021
Dissecting the Meme Magic: Understanding Indicators of Virality in Image Memes Chen Ling Ihab AbuHilal Jeremy Blackburn Emiliano De Cristofaro Savvas Zannettou Gianluca Stringhini 48 57 0 16 Jan 2021
A Survey on Extraction of Causal Relations from Natural Language Text Jie Yang S. Han Josiah Poon 3DV CML 101 84 0 16 Jan 2021
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? Manas Gaur Keyur Faldu A. Sheth 34 113 0 16 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 240 4,469 0 23 Jan 2020