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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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05/30/2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge
The open-ended Visual Question Answering (VQA) task requires AI models t...
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05/27/2023
Benchmarking Diverse-Modal Entity Linking with Generative Models
Entities can be expressed in diverse formats, such as texts, images, or ...
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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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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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02/12/2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
Open-set recognition and adversarial defense study two key aspects of de...
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04/14/2021
Federated Generalized Face Presentation Attack Detection
Face presentation attack detection plays a critical role in the modern f...
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01/24/2021
A Joint Representation Learning and Feature Modeling Approach for One-class Recognition
One-class recognition is traditionally approached either as a representa...
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01/08/2021
One-Class Classification: A Survey
One-Class Classification (OCC) is a special case of multi-class classifi...
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09/02/2020
Open-set Adversarial Defense
Open-set recognition and adversarial defense study two key aspects of de...
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07/11/2020
Anomaly Detection-Based Unknown Face Presentation Attack Detection
Anomaly detection-based spoof attack detection is a recent development i...
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06/21/2020
Quickest Intruder Detection for Multiple User Active Authentication
In this paper, we investigate how to detect intruders with low latency f...
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05/29/2020
Federated Face Anti-spoofing
Face presentation attack detection plays a critical role in the modern f...
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03/20/2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
We present a novel model called OCGAN for the classical problem of one-c...
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03/06/2019
Deep Transfer Learning for Multiple Class Novelty Detection
We propose a transfer learning-based solution for the problem of multipl...
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01/16/2018
Learning Deep Features for One-Class Classification
We propose a deep learning-based solution for the problem of feature lea...
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11/26/2017
