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06/01/2023
Prompt Algebra for Task Composition
We investigate whether prompts learned independently for different tasks...
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04/17/2023
Leveraging sparse and shared feature activations for disentangled representation learning
Recovering the latent factors of variation of high dimensional data has ...
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03/25/2023
Train/Test-Time Adaptation with Retrieval
We introduce Train/Test-Time Adaptation with Retrieval (T^3AR), a method...
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03/07/2023
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models
We propose InCA, a lightweight method for transfer learning that cross-a...
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02/28/2023
Linear Spaces of Meanings: the Compositional Language of VLMs
We investigate compositional structures in vector data embeddings from p...
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02/15/2023
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting
We introduce À-la-carte Prompt Tuning (APT), a transformer-based scheme ...
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06/06/2021
A novel Deep Neural Network architecture for non-linear system identification
We present a novel Deep Neural Network (DNN) architecture for non-linear...
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01/29/2021
A linearized framework and a new benchmark for model selection for fine-tuning
Fine-tuning from a collection of models pre-trained on different domains...
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08/28/2020