{"total":53,"rows":[{"id":"2310.19795","title":"SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization","created":"2023-10-30","cited_by_count":48,"area":null},{"id":"2403.02899","title":"Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation","created":"2024-03-05","cited_by_count":32,"area":null},{"id":"2406.17639","title":"Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP","created":"2024-06-25","cited_by_count":23,"area":null},{"id":"2408.06788","title":"Visual Neural Decoding via Improved Visual-EEG Semantic Consistency","created":"2024-08-13","cited_by_count":21,"area":null},{"id":"2504.08896","title":"Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries","created":"2025-04-11","cited_by_count":18,"area":null},{"id":"2312.08865","title":"Improving Cross-modal Alignment with Synthetic Pairs for Text-only Image Captioning","created":"2023-12-14","cited_by_count":14,"area":null},{"id":"2407.13851","title":"X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs","created":"2024-07-18","cited_by_count":14,"area":"mllm"},{"id":"2412.17337","title":"Neural-MCRL: Neural Multimodal Contrastive Representation Learning for EEG-based Visual Decoding","created":"2024-12-23","cited_by_count":14,"area":null},{"id":"2511.12121","title":"To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance","created":"2025-11-15","cited_by_count":14,"area":null},{"id":"2403.06946","title":"Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation","created":"2024-03-11","cited_by_count":13,"area":"mllm"},{"id":"2405.16996","title":"Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning","created":"2024-05-27","cited_by_count":10,"area":null},{"id":"2602.06218","title":"Cross-Modal Redundancy and the Geometry of Vision-Language Embeddings","created":"2026-02-05","cited_by_count":10,"area":"mllm"},{"id":"2410.19872","title":"Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey","created":"2024-10-24","cited_by_count":9,"area":null},{"id":"2311.17951","title":"C3Net: Compound Conditioned ControlNet for Multimodal Content Generation","created":"2023-11-29","cited_by_count":8,"area":null},{"id":"2412.14384","title":"I0T: Embedding Standardization Method Towards Zero Modality Gap","created":"2024-12-18","cited_by_count":8,"area":null},{"id":"2505.11676","title":"DPSeg: Dual-Prompt Cost Volume Learning for Open-Vocabulary Semantic Segmentation","created":"2025-05-16","cited_by_count":8,"area":null},{"id":"2409.19862","title":"Learning Multimodal Latent Generative Models with Energy-Based Prior","created":"2024-09-30","cited_by_count":7,"area":null},{"id":"2304.00719","title":"Multi-Modal Representation Learning with Text-Driven Soft Masks","created":"2023-04-03","cited_by_count":5,"area":null},{"id":"2407.14058","title":"Towards the Causal Complete Cause of Multi-Modal Representation Learning","created":"2024-07-19","cited_by_count":5,"area":null},{"id":"2603.29080","title":"Is the Modality Gap a Bug or a Feature? A Robustness Perspective","created":"2026-03-30","cited_by_count":5,"area":null},{"id":"2402.17298","title":"ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks","created":"2024-02-27","cited_by_count":4,"area":null},{"id":"2405.16083","title":"From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals","created":"2024-05-25","cited_by_count":4,"area":null},{"id":"2505.21524","title":"Learning Shared Representations from Unpaired Data","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2506.06970","title":"Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment","created":"2025-06-08","cited_by_count":4,"area":"alignment"},{"id":"2511.19509","title":"TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception","created":"2025-11-24","cited_by_count":4,"area":null},{"id":"2401.13721","title":"Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression","created":"2024-01-24","cited_by_count":3,"area":null},{"id":"2503.17417","title":"Generative Modeling of Class Probability for Multi-Modal Representation Learning","created":"2025-03-21","cited_by_count":3,"area":null},{"id":"2504.09707","title":"InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals","created":"2025-04-13","cited_by_count":3,"area":null},{"id":"2410.10663","title":"Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework","created":"2024-10-14","cited_by_count":2,"area":null},{"id":"2508.10021","title":"LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2504.21375","title":"Synergy-CLIP: Extending CLIP with Multi-modal Integration for Robust Representation Learning","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2510.11112","title":"Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2603.16100","title":"Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP","created":"2026-03-17","cited_by_count":1,"area":null},{"id":"2604.15856","title":"Robust Multispectral Semantic Segmentation under Missing or Full Modalities via Structured Latent Projection","created":"2026-04-17","cited_by_count":1,"area":null},{"id":"2605.17766","title":"LatentUMM: Dual Latent Alignment for Unified Multimodal Models","created":"2026-05-18","cited_by_count":1,"area":"alignment"},{"id":"2310.10143","title":"An Empirical Study of Self-supervised Learning with Wasserstein Distance","created":"2023-10-16","cited_by_count":0,"area":null},{"id":"2403.08224","title":"REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence","created":"2024-03-13","cited_by_count":0,"area":null},{"id":"2410.04347","title":"Latent Feature Mining for Predictive Model Enhancement with Large Language Models","created":"2024-10-06","cited_by_count":0,"area":null},{"id":"2410.15475","title":"Multimodal Fusion via Self-Consistent Task-Gradient Fields","created":"2024-10-20","cited_by_count":0,"area":null},{"id":"2501.04283","title":"Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing Images","created":"2025-01-08","cited_by_count":0,"area":null},{"id":"2507.11661","title":"Partitioner Guided Modal Learning Framework","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2508.01644","title":"DRKF: Decoupled Representations with Knowledge Fusion for Multimodal Emotion Recognition","created":"2025-08-03","cited_by_count":0,"area":null},{"id":"2602.06451","title":"BrokenBind: Universal Modality Exploration beyond Dataset Boundaries","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2603.17246","title":"On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings","created":"2026-03-18","cited_by_count":0,"area":"mllm"},{"id":"2605.03348","title":"Toward Structural Multimodal Representations: Specialization, Selection, and Sparsification via Mixture-of-Experts","created":"2026-05-05","cited_by_count":0,"area":"moe"},{"id":"2605.18257","title":"CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2606.29888","title":"Same Concept, Different Directions: Cross-Modal Feature Heterogeneity in Sparse Autoencoders","created":"2026-06-29","cited_by_count":0,"area":"mllm"},{"id":"2607.13805","title":"AspectCLIP: Optimizing CLIP Representation Space via Aspect-Guided Consistency Regularization","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.04234","title":"Multimodal Alignment Through Joint Kernel Entropic Gromov--Wasserstein Optimal Transport","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2609.01103","title":"When Modality Gap Reduction Fails: Prediction-Level Hubness in CLIP","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.15640","title":"Human-Grounded Calibration for Long-Text Image-Text Congruence in Vision-Language Models","created":"2026-09-14","cited_by_count":0,"area":"mllm"},{"id":"2609.28086","title":"LAYERSCOPE: A Layerwise Characterization of Video and Multimodal Learned Representations","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.36101","title":"One Geometry, Different Outcomes: Readout-Dependent Effects of the Modality Gap in Vision-Language Models","created":"2026-09-28","cited_by_count":0,"area":"mllm"}],"next_cursor":null}