Multimodal Learning
14,926 papers
Papers per year
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6
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7
29
22
49
117
214
325
602
706
891
1,116
1,806
2,929
4,364
1,726
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Papers
Label Propagation for Zero-shot Classification with Vision-Language Models
CVPR 2024
LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation
AAAI 2024
LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation
EMNLP 2024
LAMM: Label Alignment for Multi-Modal Prompt Learning
AAAI 2024
LangCell: Language-Cell Pre-training for Cell Identity Understanding
ICML 2024
LangSplat: 3D Language Gaussian Splatting
CVPR 2024
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
ICLR 2024
Language-driven All-in-one Adverse Weather Removal
CVPR 2024
Language-Driven Anchors for Zero-Shot Adversarial Robustness
CVPR 2024
Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition
ICML 2024
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
CVPR 2024
Language-guided Image Reflection Separation
CVPR 2024
Language-guided Skill Learning with Temporal Variational Inference
ICML 2024
Language Model Beats Diffusion - Tokenizer is key to visual generation
ICLR 2024
Language Model Guided Interpretable Video Action Reasoning
CVPR 2024
Language models and brains align due to more than next-word prediction and word-level information
EMNLP 2024
Language Models as Black-Box Optimizers for Vision-Language Models
CVPR 2024
Language Models Don’t Learn the Physical Manifestation of Language
ACL 2024
Language + Molecules
EACL 2024
Language-only Training of Zero-shot Composed Image Retrieval
CVPR 2024
LANS: A Layout-Aware Neural Solver for Plane Geometry Problem
ACL 2024
LaRA: Large Rank Adaptation for Speech and Text Cross-Modal Learning in Large Language Models
EMNLP 2024
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification
EMNLP 2024
Large Language Models Are Challenged by Habitat-Centered Reasoning
EMNLP 2024
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
ICLR 2024