multimodal deep learning

FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining AAAI 2026 CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling ICLR 2025 CUET_NetworkSociety@DravidianLangTech 2025: A Multimodal Framework to Detect Misogyny Meme in Dravidian Languages NAACL 2025 Enhancing Post-Treatment Visual Acuity Prediction with Multimodal Deep Learning on Small-scale Clinical and OCT Datasets MIDL 2025 InnovationEngineers@DravidianLangTech 2025: Enhanced CNN Models for Detecting Misogyny in Tamil Memes Using Image and Text Classification NAACL 2025 TEAM_STRIKERS@DravidianLangTech2025: Misogyny Meme Detection in Tamil Using Multimodal Deep Learning NAACL 2025 Deciphering Hate: Identifying Hateful Memes and Their Targets ACL 2024 Multimodal Deep Learning for Remote Stress Estimation Using CCT-LSTM WACV 2024 Human-Centred Multimodal Deep Learning Models for Chest X-Ray Diagnosis IJCAI 2023 MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning JMLR 2023 Obstructive sleep apnea screening with breathing sounds and respiratory effort: a multimodal deep learning approach Interspeech 2023 AudiFace: Multimodal Deep Learning for Depression Screening MLHC 2022 Predicting Emotional Intensity in Political Debates via Non-verbal Signals Interspeech 2022 R2D2 at SemEval-2022 Task 5: Attention is only as good as its Values! A multimodal system for identifying misogynist memes SemEval 2022 taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning SemEval 2022 MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets EMNLP 2021 Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information Interspeech 2019 Success Prediction on Crowdfunding with Multimodal Deep Learning IJCAI 2019 Combating Human Trafficking with Multimodal Deep Models ACL 2017 Improved Multimodal Deep Learning with Variation of Information NeurIPS 2014