{"total":86,"rows":[{"id":"2409.07825","title":"Deep Multimodal Learning with Missing Modality: A Survey","created":"2024-09-12","cited_by_count":92,"area":null},{"id":"2211.06627","title":"MARLIN: Masked Autoencoder for facial video Representation LearnINg","created":"2022-11-12","cited_by_count":57,"area":null},{"id":"2103.16775","title":"Attention, please! A survey of Neural Attention Models in Deep Learning","created":"2021-03-31","cited_by_count":51,"area":null},{"id":"2203.12367","title":"Transformer-based Multimodal Information Fusion for Facial Expression Analysis","created":"2022-03-23","cited_by_count":49,"area":null},{"id":"2203.13504","title":"EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition","created":"2022-03-25","cited_by_count":48,"area":null},{"id":"2210.17444","title":"Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations","created":"2022-10-31","cited_by_count":48,"area":null},{"id":"2107.13669","title":"Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis","created":"2021-07-28","cited_by_count":45,"area":null},{"id":"2109.01797","title":"Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis","created":"2021-09-04","cited_by_count":41,"area":null},{"id":"2207.14087","title":"CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation","created":"2022-07-28","cited_by_count":40,"area":null},{"id":"2312.05735","title":"A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning","created":"2023-12-10","cited_by_count":32,"area":null},{"id":"2107.08264","title":"M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis","created":"2021-07-17","cited_by_count":29,"area":null},{"id":"2101.06053","title":"The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements","created":"2021-01-15","cited_by_count":22,"area":null},{"id":"2108.10152","title":"Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies","created":"2021-08-18","cited_by_count":22,"area":null},{"id":"2201.05834","title":"Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition","created":"2022-01-15","cited_by_count":22,"area":null},{"id":"2203.12441","title":"M-SENA: An Integrated Platform for Multimodal Sentiment Analysis","created":"2022-03-23","cited_by_count":21,"area":null},{"id":"2208.07589","title":"Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis","created":"2022-08-16","cited_by_count":20,"area":null},{"id":"2207.11652","title":"Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis","created":"2022-07-24","cited_by_count":18,"area":null},{"id":"2404.09403","title":"Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning","created":"2024-04-15","cited_by_count":18,"area":null},{"id":"2405.07930","title":"Improving Multimodal Learning with Multi-Loss Gradient Modulation","created":"2024-05-13","cited_by_count":18,"area":null},{"id":"2507.10203","title":"Improving Multimodal Learning via Imbalanced Learning","created":"2025-07-14","cited_by_count":17,"area":null},{"id":"2109.09487","title":"Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions","created":"2021-09-20","cited_by_count":16,"area":null},{"id":"2507.10213","title":"Boosting Multimodal Learning via Disentangled Gradient Learning","created":"2025-07-14","cited_by_count":16,"area":null},{"id":"2109.00922","title":"Improving Multimodal fusion via Mutual Dependency Maximisation","created":"2021-08-31","cited_by_count":15,"area":null},{"id":"2112.01368","title":"ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors","created":"2021-12-02","cited_by_count":12,"area":null},{"id":"2312.10201","title":"CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition","created":"2023-12-15","cited_by_count":12,"area":null},{"id":"2102.12679","title":"Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data","created":"2021-02-25","cited_by_count":10,"area":null},{"id":"2109.09366","title":"Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks","created":"2021-09-20","cited_by_count":10,"area":null},{"id":"2103.12377","title":"Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis","created":"2021-03-23","cited_by_count":9,"area":null},{"id":"2109.00181","title":"CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations","created":"2021-09-01","cited_by_count":9,"area":null},{"id":"2209.11949","title":"Hybrid Multimodal Fusion for Humor Detection","created":"2022-09-24","cited_by_count":9,"area":null},{"id":"2109.05522","title":"TEASEL: A Transformer-Based Speech-Prefixed Language Model","created":"2021-09-12","cited_by_count":8,"area":null},{"id":"2404.08923","title":"Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space","created":"2024-04-13","cited_by_count":8,"area":null},{"id":"2603.19681","title":"Unbiased Dynamic Multimodal Fusion","created":"2026-03-20","cited_by_count":8,"area":null},{"id":"2111.00865","title":"MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition","created":"2021-10-27","cited_by_count":7,"area":null},{"id":"2108.07543","title":"Graph Capsule Aggregation for Unaligned Multimodal Sequences","created":"2021-08-17","cited_by_count":6,"area":null},{"id":"2201.09828","title":"MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis","created":"2022-01-24","cited_by_count":6,"area":null},{"id":"2210.14556","title":"Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis","created":"2022-10-26","cited_by_count":6,"area":null},{"id":"2510.27195","title":"Can MLLMs Read the Room? A Multimodal Benchmark for Verifying Truthfulness in Multi-Party Social Interactions","created":"2025-10-31","cited_by_count":6,"area":null},{"id":"2201.03511","title":"A study on cross-corpus speech emotion recognition and data augmentation","created":"2022-01-10","cited_by_count":5,"area":null},{"id":"2205.06887","title":"AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work","created":"2022-05-13","cited_by_count":5,"area":null},{"id":"2305.07216","title":"Versatile audio-visual learning for emotion recognition","created":"2023-05-12","cited_by_count":5,"area":null},{"id":"2110.03007","title":"Unsupervised Multimodal Language Representations using Convolutional Autoencoders","created":"2021-10-06","cited_by_count":4,"area":null},{"id":"2204.04645","title":"Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data","created":"2022-04-10","cited_by_count":4,"area":null},{"id":"2208.11893","title":"Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis","created":"2022-08-25","cited_by_count":4,"area":null},{"id":"2210.14977","title":"Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning","created":"2022-10-26","cited_by_count":4,"area":null},{"id":"2306.16645","title":"Deep Equilibrium Multimodal Fusion","created":"2023-06-29","cited_by_count":4,"area":null},{"id":"2408.07694","title":"End-to-end Semantic-centric Video-based Multimodal Affective Computing","created":"2024-08-14","cited_by_count":4,"area":null},{"id":"2410.21414","title":"CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart","created":"2024-10-28","cited_by_count":4,"area":null},{"id":"2110.00385","title":"Neural Dependency Coding inspired Multimodal Fusion","created":"2021-09-28","cited_by_count":3,"area":null},{"id":"2208.13954","title":"Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis","created":"2022-08-30","cited_by_count":3,"area":null},{"id":"2210.15937","title":"On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment Analysis","created":"2022-10-28","cited_by_count":3,"area":null},{"id":"2212.07160","title":"Multi-task Learning for Cross-Lingual Sentiment Analysis","created":"2022-12-14","cited_by_count":3,"area":null},{"id":"2311.11250","title":"A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications","created":"2023-11-19","cited_by_count":3,"area":null},{"id":"2506.03158","title":"DUAL: Dynamic Uncertainty-Aware Learning","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2509.03477","title":"Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning","created":"2025-09-03","cited_by_count":3,"area":null},{"id":"2201.03969","title":"Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis","created":"2022-01-10","cited_by_count":2,"area":null},{"id":"2208.11450","title":"VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion Recognition","created":"2022-08-24","cited_by_count":2,"area":null},{"id":"2209.00302","title":"Progressive Fusion for Multimodal Integration","created":"2022-09-01","cited_by_count":2,"area":null},{"id":"2212.11772","title":"A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences","created":"2022-11-12","cited_by_count":2,"area":null},{"id":"2311.08607","title":"Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech","created":"2023-11-15","cited_by_count":2,"area":null},{"id":"2408.16029","title":"Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis","created":"2024-08-28","cited_by_count":2,"area":null},{"id":"2502.13954","title":"Latent Distribution Decoupling: A Probabilistic Framework for Uncertainty-Aware Multimodal Emotion Recognition","created":"2025-02-19","cited_by_count":2,"area":null},{"id":"2212.07619","title":"Curriculum Learning Meets Weakly Supervised Modality Correlation Learning","created":"2022-12-15","cited_by_count":1,"area":null},{"id":"2212.10030","title":"InterMulti:Multi-view Multimodal Interactions with Text-dominated Hierarchical High-order Fusion for Emotion Analysis","created":"2022-12-20","cited_by_count":1,"area":null},{"id":"2305.13583","title":"Cross-Attention is Not Enough: Incongruity-Aware Dynamic Hierarchical Fusion for Multimodal Affect Recognition","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2306.14517","title":"Cross-Lingual Cross-Age Group Adaptation for Low-Resource Elderly Speech Emotion Recognition","created":"2023-06-26","cited_by_count":1,"area":null},{"id":"2307.12343","title":"Self-Supervised Learning for Audio-Based Emotion Recognition","created":"2023-07-23","cited_by_count":1,"area":null},{"id":"2311.16114","title":"Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data Scenarios","created":"2023-09-21","cited_by_count":1,"area":null},{"id":"2312.15848","title":"Modality-Collaborative Transformer with Hybrid Feature Reconstruction for Robust Emotion Recognition","created":"2023-12-26","cited_by_count":1,"area":null},{"id":"2404.12642","title":"Cooperative Sentiment Agents for Multimodal Sentiment Analysis","created":"2024-04-19","cited_by_count":1,"area":null},{"id":"2407.07046","title":"CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis","created":"2024-07-09","cited_by_count":1,"area":null},{"id":"2409.00143","title":"Invariant Representation Guided Multimodal Sentiment Decoding with Sequential Variation Regularization","created":"2024-08-30","cited_by_count":1,"area":null},{"id":"2409.18971","title":"Early Joint Learning of Emotion Information Makes MultiModal Model Understand You Better","created":"2024-09-12","cited_by_count":1,"area":null},{"id":"2501.12424","title":"Multi-Modality Collaborative Learning for Sentiment Analysis","created":"2025-01-21","cited_by_count":1,"area":null},{"id":"2605.16889","title":"Controlling Decision Drift in Multimodal Sentiment Analysis with Missing Modalities","created":"2026-05-16","cited_by_count":1,"area":null},{"id":"2112.03032","title":"Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors","created":"2021-12-02","cited_by_count":0,"area":null},{"id":"2210.05419","title":"Exploring Interactions and Regulations in Collaborative Learning: An Interdisciplinary Multimodal Dataset","created":"2022-10-11","cited_by_count":0,"area":null},{"id":"2304.11093","title":"Hi Sheldon! Creating Deep Personalized Characters from TV Shows","created":"2023-04-09","cited_by_count":0,"area":null},{"id":"2309.15877","title":"Neuro-Inspired Hierarchical Multimodal Learning","created":"2023-09-27","cited_by_count":0,"area":null},{"id":"2403.20280","title":"Sparsely Multimodal Data Fusion","created":"2024-03-29","cited_by_count":0,"area":null},{"id":"2409.12408","title":"Mutual Information-based Representations Disentanglement for Unaligned Multimodal Language Sequences","created":"2024-09-19","cited_by_count":0,"area":null},{"id":"2501.06475","title":"Enhancing Multi-Modal Video Sentiment Classification Through Semi-Supervised Clustering","created":"2025-01-11","cited_by_count":0,"area":null},{"id":"2502.09675","title":"Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis","created":"2025-02-13","cited_by_count":0,"area":null},{"id":"2503.22715","title":"Hierarchical Adaptive Expert for Multimodal Sentiment Analysis","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2508.09145","title":"MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2607.06943","title":"General Incomplete Multimodal Learning via Dynamic Quality Perception","created":"2026-07-08","cited_by_count":0,"area":null}],"next_cursor":null}