48 results on '"Shoaib Ahmed Siddiqui"'
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2. On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective.
3. Permissive Information-Flow Analysis for Large Language Models.
4. Protecting against simultaneous data poisoning attacks.
5. A deeper look at depth pruning of LLMs.
6. Blockwise Self-Supervised Learning at Scale.
7. Are Deep Models Robust against Real Distortions? A Case Study on Document Image Classification.
8. Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification.
9. Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics.
10. A Simple Yet Fully Adaptive PSO Algorithm for Global Peak Tracking of Photovoltaic Array Under Partial Shading Conditions.
11. Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training.
12. Investigating the Nature of 3D Generalization in Deep Neural Networks.
13. Blockwise Self-Supervised Learning at Scale.
14. Understanding and Mitigating the Impact of Model Compression for Document Image Classification.
15. Analyzing the Potential of Zero-Shot Recognition for Document Image Classification.
16. Benchmarking Adversarial Attacks and Defenses for Time-Series Data.
17. Interpreting Deep Models through the Lens of Data.
18. Self-Supervised Representation Learning for Document Image Classification.
19. Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification.
20. Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training.
21. Domain Generalization for Robust Model-Based Offline Reinforcement Learning.
22. Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics.
23. DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting.
24. TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features.
25. DeepTabStR: Deep Learning based Table Structure Recognition.
26. Rethinking Semantic Segmentation for Table Structure Recognition in Documents.
27. OGaze: Gaze Prediction in Egocentric Videos for Attentional Object Selection.
28. Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks.
29. Deep One-Class Classification.
30. Identifying Layers Susceptible to Adversarial Attacks.
31. TSViz: Demystification of Deep Learning Models for Time-Series Analysis.
32. DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series.
33. Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
34. A wearable sensor based multi-criteria-decision-system for real-time seizure detection.
35. KINN: Incorporating Expert Knowledge in Neural Networks.
36. DeCNT: Deep Deformable CNN for Table Detection.
37. Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
38. Reliable Model Compression via Label-Preservation-Aware Loss Functions.
39. Benchmarking adversarial attacks and defenses for time-series data.
40. TSInsight: A local-global attribution framework for interpretability in time-series data.
41. Interpreting Deep Models through the Lens of Data.
42. TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data.
43. TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features.
44. KINN: Incorporating Expert Knowledge in Neural Networks.
45. TSViz: Demystification of Deep Learning Models for Time-Series Analysis.
46. Benchmarking Deep Learning Models for Classification of Book Covers.
47. FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models.
48. Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
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