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ORCIDShoaib Ahmed Siddiqui
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2020 – today
- 2024
[j13]Shoaib Ahmed Siddiqui, David Krueger, Yann LeCun, Stéphane Deny:
Blockwise Self-Supervised Learning at Scale. Trans. Mach. Learn. Res. 2024 (2024)- [i18]Shoaib Ahmed Siddiqui, Xin Dong, Greg Heinrich, Thomas M. Breuel, Jan Kautz, David Krueger, Pavlo Molchanov:
A deeper look at depth pruning of LLMs. CoRR abs/2407.16286 (2024) - [i17]Neel Alex, Shoaib Ahmed Siddiqui, Amartya Sanyal, David Krueger:
Protecting against simultaneous data poisoning attacks. CoRR abs/2408.13221 (2024) - [i16]Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella Béguelin:
Permissive Information-Flow Analysis for Large Language Models. CoRR abs/2410.03055 (2024) - 2023
- [c15]Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj, David Krueger, Sara Hooker:
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics. ICLR 2023 - [i15]Shoaib Ahmed Siddiqui, David Krueger, Yann LeCun, Stéphane Deny:
Blockwise Self-Supervised Learning at Scale. CoRR abs/2302.01647 (2023) - [i14]Shoaib Ahmed Siddiqui, David Krueger, Thomas M. Breuel:
Investigating the Nature of 3D Generalization in Deep Neural Networks. CoRR abs/2304.09358 (2023) - 2022
- [j12]Pervaiz Iqbal Khan
, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training. IEEE Access 10: 87900-87910 (2022) - [j11]Saba Javed, Kashif Ishaque, Shoaib Ahmed Siddiqui, Zainal Salam:
A Simple Yet Fully Adaptive PSO Algorithm for Global Peak Tracking of Photovoltaic Array Under Partial Shading Conditions. IEEE Trans. Ind. Electron. 69(6): 5922-5930 (2022) - [c14]Saifullah Saifullah, Shoaib Ahmed Siddiqui, Stefan Agne, Andreas Dengel, Sheraz Ahmed:
Are Deep Models Robust against Real Distortions? A Case Study on Document Image Classification. ICPR 2022: 1628-1635 - [c13]Adriano Lucieri, Fabian Schmeisser, Christoph Peter Balada, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification. MIUA 2022: 46-61 - [i13]Pervaiz Iqbal Khan, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training. CoRR abs/2203.01895 (2022) - [i12]Adriano Lucieri, Fabian Schmeisser, Christoph Peter Balada, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification. CoRR abs/2206.06466 (2022) - [i11]Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj, David Krueger, Sara Hooker:
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics. CoRR abs/2209.10015 (2022) - [i10]Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger:
Domain Generalization for Robust Model-Based Offline Reinforcement Learning. CoRR abs/2211.14827 (2022) - 2021
- [j10]Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Self-Supervised Representation Learning for Document Image Classification. IEEE Access 9: 164358-164367 (2021) - [j9]Shoaib Ahmed Siddiqui, Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data. Sensors 21(21): 7373 (2021) - [c12]Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Understanding and Mitigating the Impact of Model Compression for Document Image Classification. ICDAR (1) 2021: 147-159 - [c11]Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Analyzing the Potential of Zero-Shot Recognition for Document Image Classification. ICDAR (4) 2021: 293-304 - [i9]Shoaib Ahmed Siddiqui, Thomas M. Breuel:
Identifying Layers Susceptible to Adversarial Attacks. CoRR abs/2107.04827 (2021) - 2020
- [j8]Muhammad Naseer Bajwa, Suleman Khurram, Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks. IEEE Access 8: 115476-115485 (2020) - [j7]Adriano Lucieri, Huzaifa Sabir, Shoaib Ahmed Siddiqui, Syed Tahseen Raza Rizvi, Brian Kenji Iwana, Seiichi Uchida, Andreas Dengel, Sheraz Ahmed:
Benchmarking Deep Learning Models for Classification of Book Covers. SN Comput. Sci. 1(3): 139 (2020) - [c10]Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Benchmarking Adversarial Attacks and Defenses for Time-Series Data. ICONIP (3) 2020: 544-554 - [c9]Dominique Mercier, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Interpreting Deep Models through the Lens of Data. IJCNN 2020: 1-8 - [i8]Shoaib Ahmed Siddiqui, Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
TSInsight: A local-global attribution framework for interpretability in time-series data. CoRR abs/2004.02958 (2020) - [i7]Dominique Mercier, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Interpreting Deep Models through the Lens of Data. CoRR abs/2005.03442 (2020) - [i6]Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed:
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. CoRR abs/2005.14284 (2020) - [i5]Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Benchmarking adversarial attacks and defenses for time-series data. CoRR abs/2008.13261 (2020) - [i4]Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Sheraz Ahmed, Andreas Dengel:
Reliable Model Compression via Label-Preservation-Aware Loss Functions. CoRR abs/2012.01604 (2020)
2010 – 2019
- 2019
- [j6]Mohsin Munir, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series. IEEE Access 7: 1991-2005 (2019) - [j5]Shoaib Ahmed Siddiqui, Dominique Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed:
TSViz: Demystification of Deep Learning Models for Time-Series Analysis. IEEE Access 7: 67027-67040 (2019) - [j4]Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed:
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. BMC Medical Informatics Decis. Mak. 19(1): 136:1-136:16 (2019) - [j3]Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed:
Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. BMC Medical Informatics Decis. Mak. 19(1): 153:1 (2019) - [j2]Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed:
FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models. Sensors 19(11): 2451 (2019) - [c8]Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
KINN: Incorporating Expert Knowledge in Neural Networks. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c7]Mohammad Al-Naser, Shoaib Ahmed Siddiqui, Hiroki Ohashi, Sheraz Ahmed, Nakamura Katsuyki, Takuto Sato, Andreas Dengel:
OGaze: Gaze Prediction in Egocentric Videos for Attentional Object Selection. DICTA 2019: 1-8 - [c6]Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features. ICANN (Workshop) 2019: 426-439 - [c5]Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Mohsin Munir, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. ICANN (2) 2019: 639-651 - [c4]Shoaib Ahmed Siddiqui, Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed:
Rethinking Semantic Segmentation for Table Structure Recognition in Documents. ICDAR 2019: 1397-1402 - [c3]Shoaib Ahmed Siddiqui, Imran Ali Fateh, Syed Tahseen Raza Rizvi, Andreas Dengel, Sheraz Ahmed:
DeepTabStR: Deep Learning based Table Structure Recognition. ICDAR 2019: 1403-1409 - [i3]Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
KINN: Incorporating Expert Knowledge in Neural Networks. CoRR abs/1902.05653 (2019) - [i2]Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features. CoRR abs/1905.06175 (2019) - 2018
- [j1]Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Stefan Agne, Andreas Dengel, Sheraz Ahmed:
DeCNT: Deep Deformable CNN for Table Detection. IEEE Access 6: 74151-74161 (2018) - [c2]Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft:
Deep One-Class Classification. ICML 2018: 4390-4399 - [i1]Shoaib Ahmed Siddiqui, Dominik Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed:
TSViz: Demystification of Deep Learning Models for Time-Series Analysis. CoRR abs/1802.02952 (2018) - 2017
- [c1]Abdullah Ahmed, Waqas Ahmad, Muhammad Jazib Khan, Shoaib Ahmed Siddiqui, Hammad M. Cheema:
A wearable sensor based multi-criteria-decision-system for real-time seizure detection. EMBC 2017: 2377-2380
Coauthor Index
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