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Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model



Jinan Zou , Haiyao Cao , Lingqiao Liu , Yuhao Lin , Ehsan Abbasnejad , Javen Qinfeng Shi


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Progressive Class Semantic Matching for Semi-supervised Text Classification



Hai-Ming Xu , Lingqiao Liu , Ehsan Abbasnejad

* NAACL2022 (oral) 

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Active Learning by Feature Mixing



Amin Parvaneh , Ehsan Abbasnejad , Damien Teney , Reza Haffari , Anton van den Hengel , Javen Qinfeng Shi

* CVPR 2022 

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Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models



Viet Quoc Vo , Ehsan Abbasnejad , Damith C. Ranasinghe

* Published as a conference paper at the International Conference on Learning Representations (ICLR 2022) 

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RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit



Viet Quoc Vo , Ehsan Abbasnejad , Damith C. Ranasinghe

* To appear in NDSS 2022 

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TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems



Bao Gia Doan , Minhui Xue , Shiqing Ma , Ehsan Abbasnejad , Damith C. Ranasinghe

* We demonstrate physical deployments in multiple videos at https://tntattacks.github.io/ 

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iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients



Miao Zhang , Steven Su , Shirui Pan , Xiaojun Chang , Ehsan Abbasnejad , Reza Haffari

* ICML2021 

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Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization



Damien Teney , Ehsan Abbasnejad , Simon Lucey , Anton van den Hengel


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All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training



Islam Nassar , Samitha Herath , Ehsan Abbasnejad , Wray Buntine , Gholamreza Haffari

* Accepted in CVPR2021 

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