| Auxiliary Losses for Learning Generalizable Concept-based Models I Sheth, SE Kahou Advances in Neural Information Processing Systems 36, 2024 | 23 | 2024 |
| FHIST: a benchmark for few-shot classification of histological images F Shakeri, M Boudiaf, S Mohammadi, I Sheth, M Havaei, IB Ayed, ... arXiv preprint arXiv:2206.00092, 2022 | 18 | 2022 |
| Learning from uncertain concepts via test time interventions I Sheth, AA Rahman, LR Sevyeri, M Havaei, SE Kahou Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022 | 17 | 2022 |
| Three-stream network for enriched Action Recognition I Sheth CVPRW, 2021 | 6 | 2021 |
| Learning Latent Structural Causal Models J Subramanian, Y Annadani, I Sheth, NR Ke, T Deleu, S Bauer, ... ICML 2022 Workshop on Spurious Correlations, Invariance, and Stability, 2022 | 5 | 2022 |
| LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History A Gupta*, I Sheth*, V Raina, M Gales, M Fritz Empirical Methods for Natural Language Processing (EMNLP), 2024 | 4 | 2024 |
| Survey on AI Ethics: A Socio-technical Perspective D Mbiazi, M Bhange, M Babaei, I Sheth, PJ Kenfack arXiv preprint arXiv:2311.17228, 2023 | 4 | 2023 |
| Transparent Anomaly Detection via Concept-based Explanations LR Sevyeri*, I Sheth*, F Farahnak*, SA Enger XAI in Action: Past, Present, and Future Applications, 2023 | 4 | 2023 |
| Hypothesizing missing causal variables with llms I Sheth, S Abdelnabi, M Fritz arXiv preprint arXiv:2409.02604, 2024 | 3 | 2024 |
| Overcoming Interpretability and Accuracy Trade-off in Medical Imaging I Sheth, SE Kahou Medical Imaging with Deep Learning, short paper track, 2023 | 2 | 2023 |
| WiCV 2022: The Tenth Women In Computer Vision Workshop D Antensteiner, S Bucci, A Goel, M Halawa, N Kalavakonda, T Kasarla, ... arXiv preprint arXiv:2208.11388, 2022 | 2* | 2022 |
| LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs--Evaluation through Synthetic Data Generation T Afonja*, I Sheth*, R Binkyte*, W Hanif, T Ulas, M Becker, M Fritz arXiv preprint arXiv:2410.15828, 2024 | 1 | 2024 |
| Source-free domain adaptation requires penalized diversity LR Sevyeri, I Sheth, F Farahnak, A See, SE Kahou, T Fevens, M Havaei arXiv preprint arXiv:2304.02798, 2023 | 1 | 2023 |
| Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning I Sheth, AA Rahman, M Havaei, SE Kahou I Can’t Believe It’s Not Better at NeurIPS 2022, 2022 | 1 | 2022 |
| CausalGraph2LLM: Evaluating LLMs for Causal Queries I Sheth, B Fatemi, M Fritz NAACL 2025 Findings, 2025 | | 2025 |
| Safety is Essential for Responsible Open-Ended Systems I Sheth, J Wehner, S Abdelnabi, R Binkyte, M Fritz arXiv preprint arXiv:2502.04512, 2025 | | 2025 |
| MedG-KRP: Medical Graph Knowledge Representation Probing GR Rosenbaum, LY Jiang*, I Sheth*, J Stryker, A Alyakin, DA Alber, ... ML4H, 2024 | | 2024 |
| System and method of performing convolution efficiently adapting winograd algorithm F Insalata, C Dikici, J Imber, I Sheth US Patent App. 18/613,443, 2024 | | 2024 |
| RelationalUNet for Image Segmentation I Sheth, PHM Braga, S Sujit, S Dastani, S Ebrahimi Kahou International Workshop on Machine Learning in Medical Imaging, 320-329, 2023 | | 2023 |
| Hardware implementation of windowed operations in three or more dimensions I Sheth, A Ahmadi, J Imber, C Dikici US Patent App. 17/481,588, 2022 | | 2022 |
Samira Ebrahimi KahouAssistant Professor, University of Calgary/Mila/Canada CIFAR AI ChairPatvirtintas el. paštas ucalgary.ca
