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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ICLR 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NeurIPS 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution NeurIPS 2024 Towards Compositionality in Concept Learning ICML 2024 Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning ICLR 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets ICLR 2024 Towards Foundation Models for Knowledge Graph Reasoning ICLR 2024 Towards Global Optimal Visual In-Context Learning Prompt Selection NeurIPS 2024 Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training CVPR 2024 Towards Multilingual Audio-Visual Question Answering Interspeech 2024 Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NeurIPS 2024 Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024 Training-free Prompt Placement by Propagation for SAM Predictions in Bone CT Scans MIDL 2024 Transferable Adversarial Attacks on SAM and Its Downstream Models NeurIPS 2024 Transferring Knowledge From Large Foundation Models to Small Downstream Models ICML 2024 Trustworthy Machine Learning under Imperfect Data IJCAI 2024 Uncertainty-aware Fine-tuning of Segmentation Foundation Models NeurIPS 2024 UnCLe SAM: Unleashing SAM’s Potential for Continual Prostate MRI Segmentation MIDL 2024 Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models ICML 2024 Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks NeurIPS 2024 UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling ICLR 2024 Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization ICLR 2024 Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NeurIPS 2024