conftrace_

foundation model

962 papers

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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

Zero-shot Imputation with Foundation Inference Models for Dynamical Systems ICLR 2025 Zero-shot Inexact CAD Model Alignment from a Single Image ICCV 2025 Zero-shot prompt-based classification: topic labeling in times of foundation models in German Tweets ACL 2025 π2vec: Policy Representation with Successor Features ICLR 2024 3D-LFM: Lifting Foundation Model CVPR 2024 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities NeurIPS 2024 Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification NeurIPS 2024 A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models EMNLP 2024 Active Label Correction for Semantic Segmentation with Foundation Models ICML 2024 Adapting to Distribution Shift by Visual Domain Prompt Generation ICLR 2024 Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models AAAI 2024 A Foundation Model for Error Correction Codes ICLR 2024 A Foundation Model for Zero-shot Logical Query Reasoning NeurIPS 2024 AFTer-SAM: Adapting SAM With Axial Fusion Transformer for Medical Imaging Segmentation WACV 2024 AgentTuning: Enabling Generalized Agent Abilities for LLMs ACL 2024 AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models NAACL 2024 AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning CVPR 2024 AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model EMNLP 2024 A Practitioner's Guide to Real-World Continual Multimodal Pretraining NeurIPS 2024 A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning NeurIPS 2024 APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation CVPR 2024 Are Natural Domain Foundation Models Useful for Medical Image Classification? WACV 2024 ASAM: Boosting Segment Anything Model with Adversarial Tuning CVPR 2024 A Simple yet Universal Framework for Depth Completion NeurIPS 2024 A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024