← Learning Types
Machine Learning › Learning Types ›

Multi-Modal Learning

1213 directly classified papers

Papers per year

Papers

DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph AAAI 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better NIPS 2024
Fine-Grained Prediction of Reading Comprehension from Eye Movements EMNLP 2024
Detection-Based Intermediate Supervision for Visual Question Answering AAAI 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NIPS 2024
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation EMNLP 2024
Financial Forecasting from Textual and Tabular Time Series EMNLP 2024
C3Net: Compound Conditioned ControlNet for Multimodal Content Generation CVPR 2024
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight NIPS 2024
Unity by Diversity: Improved Representation Learning for Multimodal VAEs NIPS 2024
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections EMNLP 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion NIPS 2024
Cross-modal Representation Flattening for Multi-modal Domain Generalization NIPS 2024
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection EMNLP 2024
Multi-Level Cross-Modal Alignment for Speech Relation Extraction EMNLP 2024
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data NIPS 2024
Facilitating Multimodal Classification via Dynamically Learning Modality Gap NIPS 2024
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment EMNLP 2024
MmCows: A Multimodal Dataset for Dairy Cattle Monitoring NIPS 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NIPS 2024
Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA EMNLP 2024
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments EMNLP 2024
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments NIPS 2024
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels NIPS 2024