conftrace_

foundation model

962 papers

Explore in graph

Also known as

FMS FM

Co-occurring keywords · papers mentioning both

multimodal learning (149) zero-shot learning (114) transfer learning (104) vision-language model (85) large language model (78) semantic segmentation (73) self-supervised learning (70) representation learning (54) domain adaptation (51) few-shot learning (46)

Papers

Bridging Remote Sensors with Multisensor Geospatial Foundation Models CVPR 2024 Can Synthetic Audio From Generative Foundation Models Assist Audio Recognition and Speech Modeling? Interspeech 2024 Cell ontology guided transcriptome foundation model NeurIPS 2024 CoBIT: A Contrastive Bi-directional Image-Text Generation Model ICLR 2024 Collaborating Foundation Models for Domain Generalized Semantic Segmentation CVPR 2024 Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning AAAI 2024 ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models ACL 2024 Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NeurIPS 2024 Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort ECCV 2024 CoralSCOP: Segment any COral Image on this Planet CVPR 2024 CosmicMan: A Text-to-Image Foundation Model for Humans CVPR 2024 CountGD: Multi-Modal Open-World Counting NeurIPS 2024 CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications CoRL 2024 Cross-domain Open-world Discovery ICML 2024 Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning NeurIPS 2024 Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity AISTATS 2024 DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation ECCV 2024 Deconstructing In-Context Learning: Understanding Prompts via Corruption COLING 2024 DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning CVPR 2024 DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024 Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data CVPR 2024 Depth Prompting for Sensor-Agnostic Depth Estimation CVPR 2024 Differentially Private Synthetic Data via Foundation Model APIs 1: Images ICLR 2024 DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features NeurIPS 2024 DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision CVPR 2024