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Documents publiés en "2024"

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Nombre de documents: 14

Département de génie électrique

Henwood, S., Torcato Mordido, G. F., Savaria, Y., Anbil Parthipan, S. C., & Leduc-Primeau, F. (octobre 2024). Sharpness-Aware Minimization Scaled by Outlier Normalization for Robust DNNs on In-Memory Computing Accelerators [Communication écrite]. 58th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA. Lien externe

Département de génie informatique et génie logiciel

Bouchoucha, R., Haj Yahmed, A., Patil, D., Rajendran, J., Nikanjam, A., Anbil Parthipan, S. C., & Khomh, F. (octobre 2024). Toward Debugging Deep Reinforcement Learning Programs with RLExplorer [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2024), Flagstaff, AZ, USA. Lien externe

Chitsaz, K., Fournier, Q., Torcato Mordido, G. F., & Anbil Parthipan, S. C. (novembre 2024). Exploring Quantization for Efficient Pre-Training of Transformer Language Models [Communication écrite]. Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, FL, USA. Lien externe

Henwood, S., Torcato Mordido, G. F., Savaria, Y., Anbil Parthipan, S. C., & Leduc-Primeau, F. (octobre 2024). Sharpness-Aware Minimization Scaled by Outlier Normalization for Robust DNNs on In-Memory Computing Accelerators [Communication écrite]. 58th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA. Lien externe

Huang, J., Parthasarathi, P., Rezagholizadeh, M., & Anbil Parthipan, S. C. (novembre 2024). Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models [Communication écrite]. Conference on Empirical Methods in Natural Language Processing, Miami, Florida, USA. Lien externe

Madsen, A., Anbil Parthipan, S. C., & Reddy, S. (août 2024). Are self-explanations from Large Language Models faithful? [Communication écrite]. 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Hybrid, Bangkok, Thailand. Lien externe

Madsen, A., Reddy, S., & Anbil Parthipan, S. C. (juillet 2024). Faithfulness Measurable Masked Language Models [Communication écrite]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. Lien externe

Olewicki, D., Habchi, S., Nayrolles, M., Faramarzi, M., Anbil Parthipan, S. C., & Adams, B. (avril 2024). On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction [Communication écrite]. 46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP 2024), Lisbon, Portugal. Lien externe

Patil, D., Rajendran, J., Berseth, G., & Anbil Parthipan, S. C. (mai 2024). Intelligent Switching for Reset-Free RL [Communication écrite]. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria. Lien externe

Prato, G., Huang, J., Parthasarathi, P., Sodhani, S., & Anbil Parthipan, S. C. (novembre 2024). Do Large Language Models Know How Much They Know? [Communication écrite]. Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, FL, USA. Lien externe

Samsami, M. R., Zholus, A., Rajendran, J., & Anbil Parthipan, S. C. (mai 2024). Mastering Memory Tasks with World Models [Communication écrite]. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria. Lien externe

Thériault-Lauzier, P., Corbin, D., Tastet, O., Langlais, É. L., Taji, B., Kang, G., Chong, A.-Y., So, D., Tang, A., Gichoya, J. W., Anbil Parthipan, S. C., Déziel, P.-L., Hussin, J. G., Kadoury, S., & Avram, R. (2024). A responsible framework for applying artificial intelligence on medical images and signals at the point-of-care: the PACS-AI platform. Canadian Journal of Cardiology, 025 (39 pages). Lien externe

Torcato Mordido, G. F., Malviya, P., Baratin, A., & Anbil Parthipan, S. C. (juillet 2024). Lookbehind-SAM: k Steps Back, 1 Step Forward [Communication écrite]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. Lien externe

Zayed, A., Torcato Mordido, G. F., Baldini, I., & Anbil Parthipan, S. C. (août 2024). Why Don't Prompt-Based Fairness Metrics Correlate? [Communication écrite]. 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand. Lien externe

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