Opportunities and risks of stochastic deep learning von Eustratiadis, Panagiotis

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Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval von Li, Yongkang, Eustratiadis, Panagiotis, Kanoulas, Evangelos

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Neural Fine-Tuning Search for Few-Shot Learning von Eustratiadis, Panagiotis, Dudziak, Łukasz, Li, Da, Hospedales, Timothy

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The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models von Chen, Xinyi, Liao, Baohao, Qi, Jirui, Eustratiadis, Panagiotis, Monz, Christof, Bisazza, Arianna, de Rijke, Maarten

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Attacking Adversarial Defences by Smoothing the Loss Landscape von Eustratiadis, Panagiotis, Gouk, Henry, Li, Da, Hospedales, Timothy

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Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts von Kim, Kiyoon, Gowda, Shreyank N, Eustratiadis, Panagiotis, Antoniou, Antreas, Fisher, Robert B

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Weight-Covariance Alignment for Adversarially Robust Neural Networks von Eustratiadis, Panagiotis, Gouk, Henry, Li, Da, Hospedales, Timothy

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ALBA : Reinforcement Learning for Video Object Segmentation von Gowda, Shreyank N, Eustratiadis, Panagiotis, Hospedales, Timothy, Sevilla-Lara, Laura

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Neural Fine-Tuning Search for Few-Shot Learning von Eustratiadis, Panagiotis, Dudziak, Łukasz, Li, Da, Hospedales, Timothy

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Report on the Search Futures Workshop at ECIR 2024 von Azzopardi, Leif, Clarke, Charles L. A., Kantor, Paul, Mitra, Bhaskar, Trippas, Johanne R., Ren, Zhaochun, Aliannejadi, Mohammad, Arabzadeh, Negar, Chandrasekar, Raman, de Rijke, Maarten, Eustratiadis, Panagiotis, Hersh, William, Huang, Jin, Kanoulas, Evangelos, Kareem, Jasmin, Li, Yongkang, Lupart, Simon, Mekonnen, Kidist Amde, Roegiest, Adam, Soboroff, Ian, Silvestri, Fabrizio, Verberne, Suzan, Vos, David, Yang, Eugene, Zhao, Yuyue

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The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models von Chen, Xinyi, Liao, Baohao, Jirui Qi, Eustratiadis, Panagiotis, Monz, Christof, Bisazza, Arianna, de Rijke, Maarten

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Attacking Adversarial Defences by Smoothing the Loss Landscape von Eustratiadis, Panagiotis, Gouk, Henry, Li, Da, Hospedales, Timothy

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Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts von Kim, Kiyoon, Gowda, Shreyank N, Eustratiadis, Panagiotis, Antoniou, Antreas, Fisher, Robert B

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Weight-Covariance Alignment for Adversarially Robust Neural Networks von Eustratiadis, Panagiotis, Gouk, Henry, Li, Da, Hospedales, Timothy

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ALBA : Reinforcement Learning for Video Object Segmentation von Gowda, Shreyank N, Eustratiadis, Panagiotis, Hospedales, Timothy, Sevilla-Lara, Laura

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ChemTables: dataset for table classification in chemical patents von Zhai, Zenan

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ChemTables Sample: dataset for table classification in chemical patents von Zhai, Zenan

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