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06/16/2023
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning
In this paper, we focus on the important yet understudied problem of Con...
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04/12/2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
Recent works demonstrate a remarkable ability to customize text-to-image...
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03/30/2023
Going Beyond Nouns With Vision Language Models Using Synthetic Data
Large-scale pre-trained Vision Language (VL) models have shown remar...
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11/23/2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
Computer vision models suffer from a phenomenon known as catastrophic fo...
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11/22/2022
On the Transferability of Visual Features in Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to train a classifier that ca...
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11/17/2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
Recently, large-scale pre-trained Vision-and-Language (VL) foundation mo...
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09/21/2022
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization
Federated Learning (FL) seeks to distribute model training across local ...
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05/19/2022
Incremental Learning with Differentiable Architecture and Forgetting Search
As progress is made on training machine learning models on incrementally...
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03/31/2022