Multimodal Learning
14,926 papers
Papers per year
1
3
6
2
5
2
4
7
29
22
49
117
214
325
602
706
891
1,116
1,806
2,929
4,364
1,726
'10
'15
'20
'25
Papers
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
ACL 2024
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
EMNLP 2024
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
NeurIPS 2024
OmniDialog: A Multimodal Benchmark for Generalization Across Text, Visual, and Audio Modalities
EMNLP 2024
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
NeurIPS 2024
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
CVPR 2024
OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition
CVPR 2024
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
CVPR 2024
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning
CVPR 2024
OmniVec: Learning Robust Representations With Cross Modal Sharing
WACV 2024
OmniViD: A Generative Framework for Universal Video Understanding
CVPR 2024
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
EMNLP 2024
One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment
ICML 2024
OneLLM: One Framework to Align All Modalities with Language
CVPR 2024
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
CVPR 2024
One-Shot Open Affordance Learning with Foundation Models
CVPR 2024
On Fake News Detection with LLM Enhanced Semantics Mining
EMNLP 2024
Online Continuous Generalized Category Discovery
ECCV 2024
OnlineTAS: An Online Baseline for Temporal Action Segmentation
NeurIPS 2024
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
ICML 2024
On the Comparison between Multi-modal and Single-modal Contrastive Learning
NeurIPS 2024
On the Computational Benefit of Multimodal Learning
ALT 2024
On the Effectiveness of Acoustic BPE in Decoder-Only TTS
Interspeech 2024
On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models
Interspeech 2024