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Ehsan Abbasnejad

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Do Deep Neural Network Solutions Form a Star Domain?

Mar 12, 2024
Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh

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Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning

Mar 12, 2024
Mark D. McDonnell, Dong Gong, Ehsan Abbasnejad, Anton van den Hengel

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Neural Redshift: Random Networks are not Random Functions

Mar 05, 2024
Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad

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Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances

Dec 22, 2023
Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Ehsan Abbasnejad, Hamed Damirchi, Ignacio M. Jara, Felipe Bravo-Marquez, Anton van den Hengel

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Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines

Nov 29, 2023
Hamed Damirchi, Cristian Rodríguez-Opazo, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Stephen Gould, Anton van den Hengel

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SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation

Nov 07, 2023
Iman Abbasnejad, Fabio Zambetta, Flora Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad

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Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models

Sep 09, 2023
Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix

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RanPAC: Random Projections and Pre-trained Models for Continual Learning

Jul 05, 2023
Mark D. McDonnell, Dong Gong, Amin Parveneh, Ehsan Abbasnejad, Anton van den Hengel

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Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup

Jun 02, 2023
Damien Teney, Jindong Wang, Ehsan Abbasnejad

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Semantic Role Labeling Guided Out-of-distribution Detection

May 29, 2023
Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi

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