{"total":258,"rows":[{"id":"2307.14334","title":"Towards Generalist Biomedical AI","created":"2023-07-26","cited_by_count":289,"area":null},{"id":"2311.13165","title":"Multimodal Large Language Models: A Survey","created":"2023-11-22","cited_by_count":195,"area":"mllm"},{"id":"2308.07061","title":"Machine Unlearning: Solutions and Challenges","created":"2023-08-14","cited_by_count":93,"area":"safety"},{"id":"2411.17558","title":"Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey","created":"2024-11-26","cited_by_count":76,"area":"mllm"},{"id":"2304.09355","title":"To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review","created":"2023-04-19","cited_by_count":72,"area":null},{"id":"2402.03226","title":"FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion","created":"2024-02-05","cited_by_count":68,"area":"moe"},{"id":"2303.09166","title":"Identifiability Results for Multimodal Contrastive Learning","created":"2023-03-16","cited_by_count":61,"area":null},{"id":"2305.01233","title":"On Uni-Modal Feature Learning in Supervised Multi-Modal Learning","created":"2023-05-02","cited_by_count":53,"area":null},{"id":"2403.12532","title":"UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All","created":"2024-03-19","cited_by_count":49,"area":null},{"id":"2409.07402","title":"What to align in multimodal contrastive learning?","created":"2024-09-11","cited_by_count":47,"area":null},{"id":"2309.06255","title":"Enhancing multimodal cooperation via sample-level modality valuation","created":"2023-09-12","cited_by_count":44,"area":null},{"id":"2302.06232","title":"Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data","created":"2023-02-13","cited_by_count":43,"area":null},{"id":"2303.08268","title":"Chat with the Environment: Interactive Multimodal Perception Using Large Language Models","created":"2023-03-14","cited_by_count":43,"area":null},{"id":"2303.04439","title":"A Light Weight Model for Active Speaker Detection","created":"2023-03-08","cited_by_count":40,"area":null},{"id":"2304.06306","title":"Efficient Multimodal Fusion via Interactive Prompting","created":"2023-04-13","cited_by_count":32,"area":null},{"id":"2407.14962","title":"Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives","created":"2024-07-20","cited_by_count":30,"area":null},{"id":"2501.01346","title":"Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability","created":"2025-01-02","cited_by_count":28,"area":"mllm"},{"id":"2505.22483","title":"A Closer Look at Multimodal Representation Collapse","created":"2025-05-28","cited_by_count":28,"area":null},{"id":"2302.00389","title":"Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications","created":"2023-02-01","cited_by_count":27,"area":"lr"},{"id":"2302.10909","title":"Multi-modal Machine Learning in Engineering Design: A Review and Future Directions","created":"2023-02-14","cited_by_count":27,"area":null},{"id":"2310.00927","title":"Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP","created":"2023-10-02","cited_by_count":26,"area":null},{"id":"2309.12458","title":"A Theory of Multimodal Learning","created":"2023-09-21","cited_by_count":25,"area":null},{"id":"2409.19132","title":"From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation","created":"2024-09-27","cited_by_count":23,"area":null},{"id":"2405.16108","title":"OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All","created":"2024-05-25","cited_by_count":20,"area":null},{"id":"2310.18812","title":"UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification","created":"2023-10-28","cited_by_count":19,"area":null},{"id":"2507.17343","title":"Principled Multimodal Representation Learning","created":"2025-07-23","cited_by_count":19,"area":null},{"id":"2307.13214","title":"FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning","created":"2023-07-25","cited_by_count":17,"area":null},{"id":"2510.16990","title":"Graph4MM: Weaving Multimodal Learning with Structural Information","created":"2025-10-19","cited_by_count":17,"area":null},{"id":"2410.12032","title":"MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI","created":"2024-10-15","cited_by_count":16,"area":null},{"id":"2303.07647","title":"Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review","created":"2023-03-14","cited_by_count":15,"area":null},{"id":"2401.15489","title":"Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport","created":"2024-01-27","cited_by_count":15,"area":"distill"},{"id":"2304.02991","title":"Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation","created":"2023-04-06","cited_by_count":14,"area":null},{"id":"2403.10488","title":"Joint Multimodal Transformer for Emotion Recognition in the Wild","created":"2024-03-15","cited_by_count":14,"area":null},{"id":"2305.09299","title":"UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning","created":"2023-05-16","cited_by_count":13,"area":null},{"id":"2309.10283","title":"FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning","created":"2023-09-19","cited_by_count":13,"area":"safety"},{"id":"2312.00110","title":"CLIP-QDA: An Explainable Concept Bottleneck Model","created":"2023-11-30","cited_by_count":13,"area":null},{"id":"2409.07388","title":"Recent Advances in Multimodal Affective Computing: An NLP Perspective","created":"2024-09-11","cited_by_count":13,"area":null},{"id":"2502.20120","title":"Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion","created":"2025-02-27","cited_by_count":13,"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":"2408.08074","title":"A Survey on Integrated Sensing, Communication, and Computation","created":"2024-08-15","cited_by_count":12,"area":null},{"id":"2507.19054","title":"Closing the Modality Gap for Mixed Modality Search","created":"2025-07-25","cited_by_count":12,"area":null},{"id":"2302.13033","title":"Speaker Recognition in Realistic Scenario Using Multimodal Data","created":"2023-02-25","cited_by_count":9,"area":null},{"id":"2306.04125","title":"Multimodal Fusion Interactions: A Study of Human and Automatic Quantification","created":"2023-06-07","cited_by_count":9,"area":null},{"id":"2502.19834","title":"Knowledge Bridger: Towards Training-free Missing Modality Completion","created":"2025-02-27","cited_by_count":9,"area":null},{"id":"2307.04760","title":"Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos","created":"2023-07-10","cited_by_count":8,"area":null},{"id":"2401.17032","title":"M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation","created":"2024-01-30","cited_by_count":8,"area":"deeprl"},{"id":"2411.10848","title":"NeuroNURBS: Learning Efficient Surface Representations for 3D Solids","created":"2024-11-16","cited_by_count":8,"area":null},{"id":"2506.11550","title":"Improving Multimodal Learning Balance and Sufficiency through Data Remixing","created":"2025-06-13","cited_by_count":8,"area":null},{"id":"2304.12568","title":"Performance Optimization using Multimodal Modeling and Heterogeneous GNN","created":"2023-04-25","cited_by_count":7,"area":null},{"id":"2411.09062","title":"Multimodal Object Detection using Depth and Image Data for Manufacturing Parts","created":"2024-11-13","cited_by_count":7,"area":null},{"id":"2412.16243","title":"Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data","created":"2024-12-19","cited_by_count":7,"area":null},{"id":"2505.12473","title":"Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables","created":"2025-05-18","cited_by_count":7,"area":null},{"id":"2509.25270","title":"InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions","created":"2025-09-28","cited_by_count":7,"area":null},{"id":"2602.03045","title":"Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD Generation","created":"2026-02-03","cited_by_count":7,"area":"agents"},{"id":"2308.16900","title":"Learning to Taste: A Multimodal Wine Dataset","created":"2023-08-31","cited_by_count":6,"area":null},{"id":"2407.19778","title":"Multimodal Large Language Models for Bioimage Analysis","created":"2024-07-29","cited_by_count":6,"area":"mllm"},{"id":"2506.02664","title":"Computational Thresholds in Multi-Modal Learning via the Spiked Matrix-Tensor Model","created":"2025-06-03","cited_by_count":6,"area":null},{"id":"2302.03861","title":"SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images","created":"2023-02-08","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":"2306.09385","title":"Employing Multimodal Machine Learning for Stress Detection","created":"2023-06-15","cited_by_count":5,"area":null},{"id":"2309.03452","title":"Multimodal Guidance Network for Missing-Modality Inference in Content Moderation","created":"2023-09-07","cited_by_count":5,"area":"mllm"},{"id":"2310.18481","title":"MOSEL: Inference Serving Using Dynamic Modality Selection","created":"2023-10-27","cited_by_count":5,"area":null},{"id":"2403.06679","title":"Answering Diverse Questions via Text Attached with Key Audio-Visual Clues","created":"2024-03-11","cited_by_count":5,"area":null},{"id":"2407.06309","title":"Multimodal Chain-of-Thought Reasoning via ChatGPT to Protect Children from Age-Inappropriate Apps","created":"2024-07-08","cited_by_count":5,"area":null},{"id":"2407.13069","title":"Dynamic Sentiment Analysis with Local Large Language Models using Majority Voting: A Study on Factors Affecting Restaurant Evaluation","created":"2024-07-18","cited_by_count":5,"area":null},{"id":"2501.07496","title":"Aligning First, Then Fusing: A Novel Weakly Supervised Multimodal Violence Detection Method","created":"2025-01-13","cited_by_count":5,"area":null},{"id":"2506.06579","title":"Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques","created":"2025-06-06","cited_by_count":5,"area":null},{"id":"2509.17228","title":"Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness","created":"2025-09-21","cited_by_count":5,"area":null},{"id":"2510.04417","title":"Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions","created":"2025-10-06","cited_by_count":5,"area":null},{"id":"2510.17561","title":"Spectral Thresholds in Correlated Spiked Models and Fundamental Limits of Partial Least Squares","created":"2025-10-20","cited_by_count":5,"area":null},{"id":"2511.19887","title":"Distilling Cross-Modal Knowledge via Feature Disentanglement","created":"2025-11-25","cited_by_count":5,"area":"distill"},{"id":"2306.16645","title":"Deep Equilibrium Multimodal Fusion","created":"2023-06-29","cited_by_count":4,"area":null},{"id":"2403.15444","title":"A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition","created":"2024-03-17","cited_by_count":4,"area":null},{"id":"2405.20448","title":"Knockout: A simple way to handle missing inputs","created":"2024-05-30","cited_by_count":4,"area":null},{"id":"2407.02716","title":"Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models","created":"2024-07-02","cited_by_count":4,"area":"mllm"},{"id":"2407.03522","title":"Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions","created":"2024-07-03","cited_by_count":4,"area":null},{"id":"2407.04587","title":"Multimodal Classification via Modal-Aware Interactive Enhancement","created":"2024-07-05","cited_by_count":4,"area":null},{"id":"2501.07110","title":"Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation","created":"2025-01-13","cited_by_count":4,"area":null},{"id":"2504.07336","title":"Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging","created":"2025-04-09","cited_by_count":4,"area":null},{"id":"2603.14647","title":"TopoCL: Topological Contrastive Learning for Medical Imaging","created":"2026-03-15","cited_by_count":4,"area":null},{"id":"2307.02280","title":"Interactive Image Segmentation with Cross-Modality Vision Transformers","created":"2023-07-05","cited_by_count":3,"area":null},{"id":"2311.10671","title":"Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference","created":"2023-11-17","cited_by_count":3,"area":null},{"id":"2312.10088","title":"On Robustness to Missing Video for Audiovisual Speech Recognition","created":"2023-12-13","cited_by_count":3,"area":null},{"id":"2408.09035","title":"Multi Teacher Privileged Knowledge Distillation for Multimodal Expression Recognition","created":"2024-08-16","cited_by_count":3,"area":"distill"},{"id":"2408.16883","title":"Multimodal ELBO with Diffusion Decoders","created":"2024-08-29","cited_by_count":3,"area":"diffusion"},{"id":"2410.07824","title":"Exploring Foundation Models in Remote Sensing Image Change Detection: A Comprehensive Survey","created":"2024-10-10","cited_by_count":3,"area":null},{"id":"2506.20494","title":"Multimodal Representation Learning and Fusion","created":"2025-06-25","cited_by_count":3,"area":null},{"id":"2507.02074","title":"Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges","created":"2025-07-02","cited_by_count":3,"area":null},{"id":"2510.02287","title":"MultiModal Action Conditioned Video Generation","created":"2025-10-02","cited_by_count":3,"area":"wm"},{"id":"2511.12034","title":"Calibrated Multimodal Representation Learning with Missing Modalities","created":"2025-11-15","cited_by_count":3,"area":null},{"id":"2511.20544","title":"New York Smells: A Large Multimodal Dataset for Olfaction","created":"2025-11-25","cited_by_count":3,"area":null},{"id":"2302.04102","title":"WF-UNet: Weather Fusion UNet for Precipitation Nowcasting","created":"2023-02-08","cited_by_count":2,"area":null},{"id":"2306.08183","title":"ZeroForge: Feedforward Text-to-Shape Without 3D Supervision","created":"2023-06-14","cited_by_count":2,"area":null},{"id":"2307.03575","title":"Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data","created":"2023-07-07","cited_by_count":2,"area":null},{"id":"2308.09089","title":"Bridging High-Quality Audio and Video via Language for Sound Effects Retrieval from Visual Queries","created":"2023-08-17","cited_by_count":2,"area":null},{"id":"2308.10354","title":"Imaginations of WALL-E : Reconstructing Experiences with an Imagination-Inspired Module for Advanced AI Systems","created":"2023-08-20","cited_by_count":2,"area":null},{"id":"2402.01208","title":"Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning","created":"2024-02-02","cited_by_count":2,"area":null},{"id":"2402.16105","title":"Towards Automated Knowledge Integration From Human-Interpretable Representations","created":"2024-02-25","cited_by_count":2,"area":null},{"id":"2403.08786","title":"One-Spike SNN: Single-Spike Phase Coding with Base Manipulation for ANN-to-SNN Conversion Loss Minimization","created":"2024-01-30","cited_by_count":2,"area":null},{"id":"2405.11431","title":"Review of deep learning models for crypto price prediction: implementation and evaluation","created":"2024-05-19","cited_by_count":2,"area":null}],"next_cursor":"100"}