Nicolo Fusi
11 papers · 2018–2024 · 6 venues · across top CS/AI venues
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Machine Learning
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Keywords
domain adaptation
(2)
bayesian optimization
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model compression
(1)
stochastic gradient
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few-shot learning
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variational inference
(1)
time series
(1)
gaussian process
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hyperparameter optimization
(1)
uncertainty quantification
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object detection
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optimal transport
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knowledge distillation
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neural architecture search
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model adaptation
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transfer learning
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unsupervised learning
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probability distribution
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probabilistic matrix factorization
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model-agnostic meta-learning
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Papers
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
ICML 2024
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
AISTATS 2023
Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology
MIDL 2023
LANA: Latency Aware Network Acceleration
ECCV 2022
Rapid Model Architecture Adaption for Meta-Learning
NeurIPS 2022
Dataset Dynamics via Gradient Flows in Probability Space
ICML 2021
Initialization and Regularization of Factorized Neural Layers
ICLR 2021
Differentiable Feature Selection by Discrete Relaxation
AISTATS 2020
Geometric Dataset Distances via Optimal Transport
NeurIPS 2020
Gaussian Process Prior Variational Autoencoders
NeurIPS 2018
Probabilistic Matrix Factorization for Automated Machine Learning
NeurIPS 2018