Luca Zancato

According to our database1, Luca Zancato authored at least 17 papers between 2020 and 2024.

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Bibliography

2024
CPR: Retrieval Augmented Generation for Copyright Protection.
CoRR, 2024

Multi-Modal Hallucination Control by Visual Information Grounding.
CoRR, 2024

2023
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes.
CoRR, 2023

Meaning Representations from Trajectories in Autoregressive Models.
CoRR, 2023

Prompt Algebra for Task Composition.
CoRR, 2023

Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models.
CoRR, 2023

Linear Spaces of Meanings: the Compositional Language of VLMs.
CoRR, 2023

Leveraging sparse and shared feature activations for disentangled representation learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Your representations are in the network: composable and parallel adaptation for large scale models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Linear Spaces of Meanings: Compositional Structures in Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Train/Test-Time Adaptation with Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection.
CoRR, 2022

Sampling matters: SGD smoothing through importance sampling.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
A novel Deep Neural Network architecture for non-linear system identification.
CoRR, 2021

A linearized framework and a new benchmark for model selection for fine-tuning.
CoRR, 2021

2020
Predicting Training Time Without Training.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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