conftrace_

foundation model

735 papers

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Also known as

FMS FM

Co-occurring keywords

multimodal learning (4645) zero-shot learning (3650) transfer learning (5449) large language model (13587) semantic segmentation (3186) vision-language model (2348) self-supervised learning (3777) representation learning (6206) domain adaptation (4595) few-shot learning (3398)

Papers

UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NIPS 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection NIPS 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NIPS 2024
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features NIPS 2024
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities NIPS 2024
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis NIPS 2024
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales NIPS 2024
Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family COLING 2024
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NIPS 2024
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension IJCAI 2024
The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence IJCAI 2024
SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery IJCAI 2024
Probabilistic Feature Matching for Fast Scalable Visual Prompting IJCAI 2024
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets INTERSPEECH 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NIPS 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NIPS 2024
UrbanDataLayer: A Unified Data Pipeline for Urban Science NIPS 2024
Stealth edits to large language models NIPS 2024
Making Language Models Better Tool Learners with Execution Feedback NAACL 2024
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NIPS 2024
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training CVPR 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement NIPS 2024
Pre-training Differentially Private Models with Limited Public Data NIPS 2024
Uncertainty-aware Fine-tuning of Segmentation Foundation Models NIPS 2024
Variational Language Concepts for Interpreting Foundation Language Models EMNLP 2024