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← Models
Deep Learning
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Models
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Foundation Models
278 papers
Papers per year
2021: 5
5
2022: 13
13
2023: 23
23
2024: 104
104
2025: 117
117
2026: 16
16
Papers
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation
NIPS 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks
NIPS 2024
Vript: A Video Is Worth Thousands of Words
NIPS 2024
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
NIPS 2024
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
NIPS 2024
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
NIPS 2024
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA
NIPS 2024
FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models
NIPS 2024
Poseidon: Efficient Foundation Models for PDEs
NIPS 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection
NIPS 2024
DePLM: Denoising Protein Language Models for Property Optimization
NIPS 2024
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
NIPS 2024
Multi-modal Transfer Learning between Biological Foundation Models
NIPS 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
NIPS 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
NIPS 2024
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
NIPS 2024
Segment Any Change
NIPS 2024
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
NIPS 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
NIPS 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
NIPS 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
NIPS 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
NIPS 2024
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking
NIPS 2024
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
NIPS 2024
What matters when building vision-language models?
NIPS 2024
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