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Items where Author is "Beckham, Christopher"

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Number of items: 9.

Beckham, C., Weiss, M., Golemo, F., Honari, S., Nowrouzezahrai, D., & Pal, C. J. (2023). Visual question answering from another perspective: CLEVR mental rotation tests *. Pattern Recognition, 136, 109209 (12 pages). External link

Beckham, C., Laradji, I., Rodriguez, P., Vazquez, D., Nowrouzezahrai, D., & Pal, C. J. (2022, August). Overcoming challenges in leverage GANS for few-shots data augmentation [Poster]. 1st Conference on Lifelong Learning Agents (CoLLAs 2022), Montreal, QC, Canada. External link

Vorontsov, E., Molchanov, P., Gazda, M., Beckham, C., Kautz, J., & Kadoury, S. (2022). Towards annotation-efficient segmentation via image-to-image translation. Medical Image Analysis, 82, 102624 (16 pages). External link

Beckham, C., Honari, S., Lamb, A., Verma, V., Ghadiri, F., Hjelm, R. D., & Pal, C. J. (2019, May). Adversarial mixup resynthesizers [Paper]. Deep Generative Models for Highly Structured Data (DGS@ICLR 2019 Workshop), New Orleans, LA (20 pages). External link

Beckham, C., Honari, S., Verma, V., Lamb, A., Ghadiri, F., Hjelm, R. D., Bengio, Y., & Pal, C. J. (2019, December). On adversarial mixup resynthesis [Paper]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. External link

Lang, S., Bravo-Marquez, F., Beckham, C., Hall, M., & Frank, E. (2019). WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j. Knowledge-Based Systems, 178, 48-50. External link

Moniz, J. R. A., Beckham, C., Rajotte, S., Honari, S., & Pal, C. J. (2018, December). Unsupervised depth estimation, 3D face rotation and replacement [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (11 pages). External link

Beckham, C. (2017). Techniques in Ordinal Classification and Image-to-Image Translation [Master's thesis, École Polytechnique de Montréal]. Available

Racah, E., Beckham, C., Maharaj, T., Kahou, S. E., Prabha, H., & Pal, C. J. (2017, December). Extreme weather : a large-scale climate dataset for semi-supervised detection, localization and understanding of extreme weather events [Paper]. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA. External link

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