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08/30/2023
Introducing Language Guidance in Prompt-based Continual Learning
Continual Learning aims to learn a single model on a sequence of tasks w...
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12/05/2022
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
Recent works have shown that unstructured text (documents) from online s...
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10/20/2022
Learning Attention Propagation for Compositional Zero-Shot Learning
Compositional zero-shot learning aims to recognize unseen compositions o...
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09/21/2022
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification
Despite the tremendous progress in zero-shot learning(ZSL), the majority...
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11/29/2021
3D Compositional Zero-shot Learning with DeCompositional Consensus
Parts represent a basic unit of geometric and semantic similarity across...
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05/03/2021
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning
Compositional Zero-Shot learning (CZSL) aims to recognize unseen composi...
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02/03/2021
Learning Graph Embeddings for Compositional Zero-shot Learning
In compositional zero-shot learning, the goal is to recognize unseen com...
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01/29/2021
Open World Compositional Zero-Shot Learning
Compositional Zero-Shot learning (CZSL) requires to recognize state-obje...
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02/23/2020
Reliable Fidelity and Diversity Metrics for Generative Models
Devising indicative evaluation metrics for the image generation task rem...
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04/05/2019
Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks
In this paper, we propose a novel interpretation method tailored to hist...
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01/14/2019
