Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing | Paper Citation Record

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing online" 'onlinestring :=

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing write newline

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing O zlem \

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This paper cites MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data.

Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data

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This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

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Reference 6

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Prompting for Multimodal Hateful Meme Classification

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Reference 9

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Reference 13

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Reference 14

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Decoding the Underlying Meaning of Multimodal Hateful Memes

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Reference 18

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This paper cites Utilizing Large Language Models for Event Deconstruction to Enhance Multimodal Aspect-Based Sentiment Analysis.

Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Utilizing Large Language Models for Event Deconstruction to Enhance Multimodal Aspect-Based Sentiment Analysis

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset

Reference 24

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Reference 25

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing MemeFier: Dual-stage Modality Fusion for Image Meme Classification

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing DualKanbaFormer: An Efficient Selective Sparse Framework for Multimodal Aspect-based Sentiment Analysis

Reference 28

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing A Multimodal Framework for the Detection of Hateful Memes

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Visual Instruction Tuning

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Efficient Estimation of Word Representations in Vector Space

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Detecting Hateful Memes Using a Multimodal Deep Ensemble

Reference 46

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Hashimoto

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey

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This paper cites an unresolved cited work.

Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Unresolved cited work

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Unresolved cited work

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Observation 80d2aaf0-e4c9-407f-90f2-0e28afa64ba3 · outbound

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Unresolved cited work

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Observation b900f076-a437-4e93-9b2b-eedbfc830c86 · outbound

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Unresolved cited work

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Observation 07f9e606-e618-49c5-b969-2162c72c30ea · outbound

This paper cites an unresolved cited work.

Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Unresolved cited work

Reference 77

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Observation 15a835df-ae8c-42d8-962e-c676ac614a90 · outbound

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 78

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Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Unresolved cited work

Reference 79

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Reference resolution

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Pith citing papers