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Multimodal Learning

13,185 papers

Papers per year

2
46
675
3655
'10
'15
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'25

Papers

Im-Promptu: In-Context Composition from Image Prompts NIPS 2023
M$^{2}$SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors NIPS 2023
TOA: Task-oriented Active VQA NIPS 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models NIPS 2023
Guide Your Agent with Adaptive Multimodal Rewards NIPS 2023
Learning Unseen Modality Interaction NIPS 2023
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model NIPS 2023
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents NIPS 2023
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias NIPS 2023
A Theory of Multimodal Learning NIPS 2023
On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes NIPS 2023
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation NIPS 2023
Towards Consistent Video Editing with Text-to-Image Diffusion Models NIPS 2023
Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method NIPS 2023
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation NIPS 2023
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions NIPS 2023
Chatting Makes Perfect: Chat-based Image Retrieval NIPS 2023
CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning NIPS 2023
Textually Pretrained Speech Language Models NIPS 2023
Achieving Cross Modal Generalization with Multimodal Unified Representation NIPS 2023
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs NIPS 2023
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing NIPS 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks NIPS 2023
Optimizing Prompts for Text-to-Image Generation NIPS 2023
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction NIPS 2023