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Christopher J. PalDépartement de génie informatique et génie logiciel
Voir sa fiche dans le Répertoire des Expertises de Polytechnique Montréal
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Nuage de motsUn nuage de mots est une représentation visuelle des mots les plus fréquemment utilisés dans un texte ou un ensemble de textes. Les mots apparaissent dans différentes tailles, la taille de chaque mot étant proportionnelle à sa fréquence d'apparition dans le texte. Plus un mot est utilisé fréquemment, plus il apparaît en grand dans le nuage de mots. Cette technique permet de visualiser rapidement les thèmes et les concepts les plus importants d'un texte.
Dans le contexte de cette page, le nuage de mots a été généré à partir des publications de l'auteur {}. Les mots présents dans ce nuage proviennent des titres, résumés et mots-clés des articles et travaux de recherche de cet auteur. En analysant ce nuage de mots, vous pouvez obtenir un aperçu des sujets et des domaines de recherche les plus récurrents et significatifs dans les travaux de cet auteur.Le nuage de mots est un outil utile pour identifier les tendances et les thèmes principaux dans un corpus de textes, facilitant ainsi la compréhension et l'analyse des contenus de manière visuelle et intuitive.
Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., ... Menze, B. (2023). The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Analysis, 84, 102680 (24 pages). Lien externe
Berseth, G., Golemo, F., & Pal, C. J. (2023). Towards Learning to Imitate from a Single Video Demonstration. Journal of Machine Learning Research, 24, 21-1174 (26 pages). Lien externe
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). Lien externe
Beckham, C., Laradji, I., Rodriguez, P., Vazquez, D., Nowrouzezahrai, D., & Pal, C. J. (août 2022). Overcoming challenges in leverage GANS for few-shots data augmentation [Affiche]. 1st Conference on Lifelong Learning Agents (CoLLAs 2022), Montreal, QC, Canada. Lien externe
Bouteiller, Y., Ramstedt, S., Beltrame, G., Pal, C. J., & Binas, J. (mai 2021). Reinforcement Learning with Random Delays [Affiche]. 9th International Conference on Learning Representations (ICLR 2021), Vienna, Austria (21 pages). Lien externe
Barde, P., Roy, J., Jeon, W., Pineau, J., Nowrouzezahrai, D., & Pal, C. J. (décembre 2020). Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization [Communication écrite]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020) (11 pages). Lien externe
Bengio, Y., Deleu, T., Rahaman, N., Ke, N. R., Lachapelle, S., Bilaniuk, O., Goyal, A., & Pal, C. J. (avril 2020). A meta-transfer objective for learning to disentagle causal mechanisms [Communication écrite]. 8th International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethiopia (27 pages). Lien externe
Beckham, C., Honari, S., Lamb, A., Verma, V., Ghadiri, F., Hjelm, R. D., & Pal, C. J. (mai 2019). Adversarial mixup resynthesizers [Communication écrite]. Deep Generative Models for Highly Structured Data (DGS@ICLR 2019 Workshop), New Orleans, LA (20 pages). Lien externe
Beckham, C., Honari, S., Verma, V., Lamb, A., Ghadiri, F., Hjelm, R. D., Bengio, Y., & Pal, C. J. (décembre 2019). On adversarial mixup resynthesis [Communication écrite]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. Lien externe
Ballas, N., Yao, L., Pal, C. J., & Courville, A. (juin 2016). Delving Deeper into Convolution Networks for Learning Video Representation [Communication écrite]. 10th IEEE Computer Society Workshop on Perceptual Organization in Computer Vision: The Role of Feedback in Recognition and Motion Perception (CVPR 2016), Las Vegas, Nevada (2 pages). Lien externe
Ballas, N., Yao, L., Pal, C. J., & Courville, A. (mai 2016). Delving deeper into convolutional networks for learning video representations [Communication écrite]. 4th International Conference on Learning Representations (ICLR 2016), San Juan, Puerto Rico (11 pages). Lien externe
Bhole, C., Pal, C. J., Rim, D., & Wismüller, A. (2014). 3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning. Machine Vision and Applications, 25(2), 301-325. Lien externe
Bhole, C., & Pal, C. J. (novembre 2012). Automated person segmentation in videos [Communication écrite]. 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japon. Lien externe
Bhole, C., Morsillo, N., & Pal, C. J. (septembre 2011). 3D segmentation in CT imagery with conditional random fields and histograms of oriented gradients [Communication écrite]. 2nd International Workshop on Machine Learning in Medical Imaging (MLMI 2011), Toronto, ON, Canada. Lien externe
Chamorro, S., Klemm, V., De La Iglesia Valls, M., Pal, C. J., & Siegwart, R. (mai 2024). Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots [Communication écrite]. 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan. Lien externe
Chen, C., Beckham, C., Liu, Z., Liu, X., & Pal, C. J. (décembre 2023). Parallel-mentoring for Offline Model-based Optimization [Communication écrite]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA (18 pages). Lien externe
Chartrand, G., Cheng, P. M., Vorontsov, E., Drozdzal, M., Turcotte, S., Pal, C. J., Kadoury, S., & Tang, A. (2017). Deep Learning: A Primer for Radiologists. RadioGraphics, 37(7), 2113-2131. Lien externe
Drozdzal, M., Chartrand, G., Vorontsov, E., Shakeri, M., Di Jorio, L., Tang, A., Romero, A., Bengio, Y., Pal, C. J., & Kadoury, S. (2018). Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Analysis, 44, 1-13. Lien externe
Drozdzal, M., Vorontsov, E., Chartrand, G., Kadoury, S., & Pal, C. J. (octobre 2016). The Importance of Skip Connections in Biomedical Image Segmentation [Communication écrite]. 2nd International Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016), held in conjunction with MICCAI 2016, Athens, Greece. Lien externe
Fortier, M., Richter, M. L., Sonnentag, O., & Pal, C. J. (avril 2025). CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling [Communication écrite]. 13th International Conference on Learning Representations (ICLR 2025), Singapore, Singapore. Lien externe
Fu, J., Ng, R., Chen, D., Ilievski, I., Pal, C. J., & Chua, T.-S. (août 2017). Neural Optimizers with hypergradients for tuning parameter-wise learning rates [Communication écrite]. Automatic Machine Learning Workshop (ICML 2017), Sydney, Australia (8 pages). Non disponible
Girgis, R., Golemo, F., Codevilla, F., Weiss, M., D'Souza, J. A., Kahou, S. E., Heide, F., & Pal, C. J. (avril 2022). Latent variable sequential set transformers for joint multi-agent motion prediction [Communication écrite]. 10th International Conference on Learning Representations (ICLR 2022). Lien externe
Gontier, N., Sinha, K., Reddy, S., & Pal, C. J. (décembre 2020). Measuring systematic generalization in neural proof generation with transformers [Communication écrite]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020) (17 pages). Lien externe
Harvey, F. G., Yurick, M., Nowrouzezahrai, D., & Pal, C. J. (2020). Robust motion in-betweening. ACM Transactions on Graphics, 39(4), 12 pages. Lien externe
Hasan, M. K., & Pal, C. J. (2019). A new smooth approximation to the zero one loss with a probabilistic interpretation. ACM Transactions on Knowledge Discovery from Data, 14(1), 1-28. Lien externe
Honari, S., Molchanov, P., Tyree, S., Vincent, P., Pal, C. J., & Kautz, J. (juin 2018). Improving Landmark Localization with Semi-Supervised Learning [Communication écrite]. 31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, United states. Lien externe
Harvey, F. G., Roy, J., Kanaa, D., & Pal, C. J. (2018). Recurrent semi-supervised classification and constrained adversarial generation with motion capture data. Image and Vision Computing, 78, 42-52. Lien externe
Harvey, F. G., & Pal, C. J. (décembre 2018). Recurrent transition networks for character locomotion [Communication écrite]. SIGGRAPH Asia Technical Briefs, Tokyo, Japan. Lien externe
Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C. J., Jodoin, P.-M., & Larochelle, H. (2017). Brain tumor segmentation with Deep Neural Networks. Medical Image Analysis, 35, 18-31. Lien externe
Honari, S., Yosinski, J., Vincent, P., & Pal, C. J. (juin 2016). Recombinator networks: Learning coarse-to-fine feature aggregation [Communication écrite]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, United states. Lien externe
Harvey, F. G., & Pal, C. J. (juin 2016). Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences [Communication écrite]. 33rd International Conference on Machine Learning, New York, NY. Publié dans JMLR Workshop and Conference Proceedings, 48. Non disponible
Havaei, M., Dutil, F., Pal, C. J., Larochelle, H., & Jodoin, P.-M. (octobre 2015). A Convolutional Neural Network Approach to Brain Tumor Segmentation [Communication écrite]. 1st International Workshop on Brain Lesion (BrainLes 2015), Munich, Germany. Lien externe
Hasan, M. K., & Pal, C. J. (juillet 2014). Experiments on visual information extraction with the faces of Wikipedia [Communication écrite]. 28th AAAI Conference on Artificial Intelligence, Québec, Québec. Publié dans Proceedings of the ... AAAI Conference on Artificial Intelligence, 28(1). Lien externe
Hasan, M. K., & Pal, C. J. (septembre 2011). Improving alignment of faces for recognition [Communication écrite]. 9th IEEE International Symposium on Robotic and Sensors Environments (ROSE 2011), Montréal, Québec. Lien externe
Izquierdo-Verdiguier, E., Moreno-Martínez, Á., Stoy, P., Sonnentag, O., Pal, C. J., Kang, Y., Keenan, T., Desai, A. R., Metzger, S., Xiao, J., Fortier, M., Bassiouni, M., Ranjbar, S., Bower, S., Hoffman, S., Losos, D., & Clinton, N. (avril 2025). BenchFlux: advancing nature-based climate solutions through scale-aware CO₂ flux benchmarks [Résumé]. EGU General Assembly 2025, Vienna, Austria (2 pages). Disponible
Ibrahim, M. H., Pal, C. J., & Pesant, G. (2020). Leveraging cluster backbones for improving MAP inference in statistical relational models. Annals of Mathematics and Artificial Intelligence, 88(8), 907-949. Lien externe
Ibrahim, M.-H., Pal, C. J., & Pesant, G. (2017). Improving probabilistic inference in graphical models with determinism and cycles. Machine Learning, 106(1), 1-54. Lien externe
Ibrahim, M. H., Pal, C. J., & Pesant, G. (janvier 2015). Exploiting determinism to scale relational inference [Communication écrite]. 29th AAAI Conference on Artificial Intelligence (AAAI 2015) and 27th Innovative Applications of Artificial Intelligence Conference (IAAI 2015), Austin, TX, United states. Publié dans Proceedings of the ... AAAI Conference on Artificial Intelligence, 29(1). Lien externe
Krojer, B., Poole-Dayan, E., Voleti, V., Pal, C. J., & Reddy, S. (décembre 2023). Are Diffusion Models Vision-And-Language Reasoners? [Communication écrite]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA (21 pages). Lien externe
Krueger, D., Maharaj, T., Kramar, J., Pezeshki, M., Ballas, N., Ke, N. R., Goyal, A., Bengio, Y., Courville, A., & Pal, C. J. (avril 2017). Zoneout: Regularizing rNNs by randomly preserving hidden activations [Communication écrite]. 5th International Conference on Learning Representations (ICLR 2017), Toulon, France (11 pages). Lien externe
Ke, N. R., Zoma, K., Sordoni, A., Lin, Z., Trischler, A., Bengio, Y., Pineau, J., Charlin, L., & Pal, C. J. (juillet 2018). Focused hierarchical RNNs for conditional sequence processing [Communication écrite]. 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden. Lien externe
Ke, N. R., Goyal, A., Bilaniuk, O., Binas, J., Mozer, M. C., Pal, C. J., & Bengio, Y. (décembre 2018). Sparse attentive backtracking: Temporal credit assignment through reminding [Communication écrite]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (12 pages). Lien externe
Kahou, S. E., Michalski, V., Memisevic, R., Pal, C. J., & Vincent, P. (juillet 2017). RATM: Recurrent Attentive Tracking Model [Communication écrite]. 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2017), Honolulu, HI, United states. Lien externe
Kahou, S. E., Bouthillier, X., Lamblin, P., Gülçehre, Ç., Michalski, V., Konda, K., Jean, S., Froumenty, P., Dauphin, Y., Boulanger-Lewandowski, N., Ferrari, R. C., Mirza, M., Warde-Farley, D., Courville, A., Vincent, P., Memisevic, R., Pal, C. J., & Bengio, Y. (2016). EmoNets: Multimodal deep learning approaches for emotion recognition in video. Journal on Multimodal User Interfaces, 10(2), 99-111. Lien externe
Kahou, S. E., Froumenty, P., & Pal, C. J. (septembre 2014). Facial expression analysis based on high dimensional binary features [Communication écrite]. European Conference on Computer Vision (ECCV 2014), Zurich, Switzerland. Lien externe
Kahou, S. E., Michalski, V., Konda, K., Memisevic, R., & Pal, C. J. (novembre 2015). Recurrent Neural Networks for Emotion Recognition in Video [Communication écrite]. 17th International Conference on Multimodal Interaction (ICMI 2015), Seattle, USA. Lien externe
Kahou, S. E., Pal, C. J., Bouthillier, X., Froumenty, P., Gülçehre, Ç., Memisevic, R., Vincent, P., Courville, A., Bengio, Y., Ferrari, R. C., Mirza, M., Jean, S., Carrier, P.-L., Dauphin, Y., Boulanger-Lewandowski, N., Aggarwal, A., Zumer, J., Lamblin, P., Raymond, J.-P., ... Wu, Z. (décembre 2013). Combining modality specific deep neural networks for emotion recognition in video [Communication écrite]. 15th ACM International Conference on Multimodal Interaction (ICMI 2013), Sydney, NSW, Australia. Lien externe
Luo, G. Y., Favero, G. M., Luo, Z. H., Jolicoeur-Martineau, A., & Pal, C. J. (avril 2025). Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality [Communication écrite]. 13th International Conference on Learning Representations (ICLR 2025), Singapore, Singapore. Lien externe
Liu, D., Fu, J., Zhang, Y., Pal, C. J., & Lv, J. (février 2020). Revision in continuous space: Unsupervised text style transfer without adversarial learning [Communication écrite]. 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, NY, USA. Lien externe
Lim, J. H., Pinheiro, P. O., Rostamzadeh, N., Pal, C. J., & Ahn, S. (décembre 2019). Neural Multisensory Scene Inference [Communication écrite]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C.. Lien externe
Li, R., Kahou, S. E., Schulz, H., Michalski, V., Charlin, L., & Pal, C. J. (décembre 2018). Towards deep conversational recommendations [Communication écrite]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (11 pages). Lien externe
Moniz, J. R. A., Beckham, C., Rajotte, S., Honari, S., & Pal, C. J. (décembre 2018). Unsupervised depth estimation, 3D face rotation and replacement [Communication écrite]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (11 pages). Lien externe
Maharaj, T., Ballas, N., Rohrbach, A., Courville, A., & Pal, C. J. (juillet 2016). A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering [Communication écrite]. 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI. Lien externe
Maier, O., Menze, B. H., der Gablentz, J. , Häni, L., Heinrich, M. P., Liebrand, M., Winzeck, S., Basit, A., Bentley, P., Chen, L., Christiaens, D., Dutil, F., Egger, K., Feng, C., Glocker, B., Götz, M., Haeck, T., Halme, H.-L., Havaei, M., ... Reyes, M. (octobre 2015). ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI [Communication écrite]. Ischemic Stroke Lesion Segmentation (ISLES) challenge organized in conjunction with the MICCAI 2015 conference, Munich, Germany. Publié dans Medical Image Analysis, 35. Lien externe
Messing, R., & Pal, C. J. (mars 2009). Behavior recognition in video with extended models of feature velocity dynamics [Communication écrite]. AAAI Spring Symposium on Human Behavior Modeling, Stanford, CA, United states. Lien externe
Pernías, P., Rampas, D., Richter, M. L., Pal, C. J., & Aubreville, M. (mars 2025). Würstchen [Résumé]. Bildverarbeitung für die Medizin 2025 (BVM 2025), Regensburg, Germany. Publié dans Informatik aktuell. Lien externe
Pernías, P., Rampas, D., Richter, M. L., Pal, C. J., & Aubreville, M. (mai 2024). Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Model [Communication écrite]. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria. Lien externe
Pilault, J., Fathi, M., Firat, O., Pal, C. J., Bacon, P.-L., & Goroshin, R. (décembre 2023). Block-State Transformers [Communication écrite]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA (19 pages). Lien externe
Pilault, J., El Hattami, A., & Pal, C. J. (mai 2021). Conditionally adaptive multi-task learning: Improving transfer learning in nlp using fewer parameters & less data [Affiche]. 9th International Conference on Learning Representations (ICLR 2021), Vienna, Austria (21 pages). Lien externe
Pilault, J., Li, R., Subramanian, S., & Pal, C. J. (novembre 2020). On extractive and abstractive neural document summarization with transformer language models [Communication écrite]. Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). Lien externe
Piche, A., Thomas, V., Ibrahim, C., Bengio, Y., & Pal, C. J. (mai 2019). Probabilistic planning with sequential Monte Carlo methods [Affiche]. 7th International Conference on Learning Representations, New Orleans, Louisiana (8 pages). Lien externe
Pal, C. J., Weinman, J. J., Tran, L. C., & Scharstein, D. (2012). On Learning Conditional Random Fields for Stereo: Exploring Model Structures and Approximate Inference. International Journal of Computer Vision, 99(3), 319-337. Lien externe
Rowe, L., Girgis, R., Gosselin, A., Paull, L., Pal, C. J., & Heide, F. (juin 2025). Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments [Communication écrite]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville, TN, USA. Lien externe
Rodríguez, J. A., Puri, A., Agarwal, S., Laradji, I., Rodríguez, P., Rajeswar, S., Vázquez, D., Pal, C. J., & Pedersoli, M. (juin 2025). StarVector: Generating Scalable Vector Graphics Code from Images and Text [Communication écrite]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville, TN, USA. Lien externe
Rodríguez, J. A., Puri, A., Agarwal, S., Laradji, I., Rajeswar, S., Vázquez, D., Pal, C. J., & Pedersoli, M. (février 2025). StarVector: Generating Scalable Vector Graphics Code from Images and Text [Communication écrite]. 39th AAAI Conference on Artificial Intelligence, Philadelphia, PA, USA. Publié dans Proceedings of the AAAI Conference on Artificial Intelligence, 39(28). Lien externe
Rodriguez, J., Jian, X., Panigrahi, S. S., Zhang, T., Feizi, A., Puri, A., Kalkunte, A., Savard, F., Masry, A., Nayak, S., Awal, R., Massoud, M., Abaskohi, A., Li, Z., Wang, S., Noel, P.-A., Richter, M. L., Vadacchino, S., Agarwal, S., ... Rajeswar, S. (avril 2025). BIGDOCS : an open dataset for training multimodal models on document and code tasks [Communication écrite]. 13th International Conference on Learning Representations (ICLR 2025), Singapore, Singapore. Lien externe
Rifat Arefin, M., Subbaraj, G., Gontier, N., LeCun, Y., Rish, I., Shwartz-Ziv, R., & Pal, C. J. (avril 2025). SEQ-VCR : preventing collapse in intermediate transformer representations for enhanced reasoning [Communication écrite]. 13th International Conference on Learning Representations (ICLR 2025), Singapore, Singapore. Lien externe
Rowe, L., Girgis, R., Gosselin, A., Carrez, B., Golemo, F., Heide, F., Paull, L., & Pal, C. J. (novembre 2024). CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning [Communication écrite]. 8th Annual Conference on Robot Learning (CoRL 2024), Munich, Germany. Lien externe
Roy, J., Girgis, R., Romoff, J., Bacon, P.-L., & Pal, C. J. (juillet 2022). Direct Behavior Specification via Constrained Reinforcement Learning [Communication écrite]. 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD, USA. Lien externe
Roy, J., Barde, P., Harvey, F. G., Nowrouzezahrai, D., & Pal, C. J. (décembre 2020). Promoting coordination through policy regularization in multi-agent deep reinforcement learning [Communication écrite]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020). Lien externe
Ramstedt, S., & Pal, C. J. (décembre 2019). Real-Time Reinforcement Learning [Communication écrite]. 33rd International Conference on Neural Information Processing Systems (NIPS 2019), Vancouver, British Columbia, Canada. Lien externe
Ramstedt, S., & Pal, C. J. (décembre 2019). Real-time reinforcement learning [Affiche]. 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C. (1 page). Lien externe
Rohrbach, A., Torabi, A., Rohrbach, M., Tandon, N., Pal, C. J., Larochelle, H., Courville, A., & Schiele, B. (2017). Movie description. International Journal of Computer Vision, 123(1), 94-120. Disponible
Racah, E., Beckham, C., Maharaj, T., Kahou, S. E., Prabha, H., & Pal, C. J. (décembre 2017). Extreme weather : a large-scale climate dataset for semi-supervised detection, localization and understanding of extreme weather events [Communication écrite]. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA. Lien externe
Rim, D., Honari, S., Hasan, M. K., & Pal, C. J. (2015). Improving facial analysis and performance driven animation through disentangling identity and expression. Image and Vision Computing, 52, 125-140. Lien externe
Rim, D., Hasan, M. K., Puech, F., & Pal, C. J. (2015). Learning from weakly labeled faces and video in the wild. Pattern Recognition, 48(3), 759-771. Lien externe
Sharma, A., Dalmia, A., Kazemi, M., Zouaq, A., & Pal, C. J. (avril 2025). GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models [Communication écrite]. Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico. Lien externe
Sahu, G., Puri, A., Rodriguez, J. A., Abaskohi, A., Chegini, M., Drouin, A., Taslakian, P., Zantedeschi, V., Lacoste, A., Vazquez, D., Chapados, N., Pal, C. J., Rajeswar, S., & Laradji, I. (avril 2025). InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation [Communication écrite]. 13th International Conference on Learning Representations (ICLR 2025), Singapore, Singapore. Lien externe
Sankar, C., Subramanian, S., Pal, C. J., Chandar, S., & Bengio, Y. (juillet 2019). Do neural dialog systems use the conversation history effectively? An empirical study [Communication écrite]. 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy. Lien externe
Subramanian, S., Trischler, A., Bengio, Y., & Pal, C. J. (avril 2018). Learning general purpose distributed sentence representations via large scale multitask learning [Communication écrite]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada. Lien externe
Subramanian, S., Rajeswar, S., Sordoni, A., Trischler, A., Courville, A., & Pal, C. J. (décembre 2018). Towards text generation with adversarially learned neural outlines [Communication écrite]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (13 pages). Lien externe
Serdyuk, D., Ke, N. R., Sordoni, A., Trischler, A., Pal, C. J., & Bengio, Y. (avril 2018). Twin Networks: Matching the future for sequence generation [Communication écrite]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada (12 pages). Lien externe
Tesfaldet, M., Nowrouzezahrai, D., & Pal, C. J. (novembre 2022). Attention-based Neural Cellular Automata [Affiche]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. Lien externe
Tay, Y., Ong, D., Fu, J., Chan, A., Chen, N. F., Tuan, L. A., & Pal, C. J. (juillet 2020). Would you rather? A new benchmark for learning machine alignment with cultural values and social preferences [Communication écrite]. 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Lien externe
Thong, W., Kadoury, S., Piche, N., & Pal, C. J. (2018). Convolutional networks for kidney segmentation in contrast-enhanced CT scans. Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization, 6(3), 277-282. Lien externe
Trabelsi, C., Bilaniuk, O., Zhang, Y., Serdyuk, D., Subramanian, S., Santos, J. F., Mehri, S., Rostamzadeh, N., Bengio, Y., & Pal, C. J. (avril 2018). Deep complex networks [Communication écrite]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada (19 pages). Lien externe
Tran, L. C., Bal, C., Pal, C. J., & Nguyen, T. Q. (2012). On consistent inter-view synthesis for autostereoscopic displays. 3D Research, 3(1), 10 pages. Lien externe
Tran, L., Khoshabeh, R., Jain, A., Pal, C. J., & Nguyen, T. (mai 2011). Spatially consistent view synthesis with coordinate alignment [Communication écrite]. 36th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech republic. Lien externe
Tran, L. C., Pal, C. J., & Nguyen, T. Q. (septembre 2010). View synthesis based on conditional random fields and graph cuts [Communication écrite]. 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong. Lien externe
Voleti, V., Finlay, C., Oberman, A., & Pal, C. J. (2024). Multi-resolution continuous normalizing flows. Annals of Mathematics and Artificial Intelligence, 23-23. Lien externe
Voleti, V., Jolicoeur-Martineau, A., & Pal, C. J. (novembre 2022). MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation [Présentation]. Dans 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. Lien externe
Voleti, V., Oreshkin, B., Bocquelet, F., Harvey, F., Ménard, L.-S., & Pal, C. J. (décembre 2022). SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows [Communication écrite]. SIGGRAPH Asia 2022 Technical Communications, Daegu, Korea, Republic of (7 pages). Lien externe
Vorontsov, E., Cerny, M., Régnier, P., Di Jorio, L., Pal, C. J., Lapointe, R., Vandenbroucke-Menu, F., Turcotte, S., Kadoury, S., & Tang, A. (2019). Deep learning for automated segmentation of liver lesions at cCT in patients with colorectal cancer liver metastases. Radiology: Artificial Intelligence, 1(2), 180014. Lien externe
Vorontsov, E., Tang, A., Pal, C. J., & Kadoury, S. (avril 2018). Liver lesion segmentation informed by joint liver segmentation [Communication écrite]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C.. Lien externe
Vorontsov, E., Tang, A., Roy, D., Pal, C. J., & Kadoury, S. (2016). Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. Medical & Biological Engineering & Computing, 55(1), 127-139. Lien externe
Witten, I. H., Hall, M. A., Foulds, J. R., Frank, E., & Pal, C. J. (2025). Data Mining. (5e éd.). Lien externe
Weiss, M., Rahaman, N., & Pal, C. J. (mai 2025). MapBot: A Multi-Modal Agent for Geospatial Analysis [Communication écrite]. 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), Detroit, MI, USA. Lien externe
Weiss, M., Rahaman, N., Locatello, F., Pal, C. J., Bengio, Y., Scholkopf, B., Ballas, N., & Li, L. E. (novembre 2022). Neural Attentive Circuits [Affiche]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. Lien externe
Weiss, M., Chamorro, S., Girgis, R., Luck, M., Kahou, S., Cohen, J., Nowrouzezahrai, D., Precup, D., Golemo, F., & Pal, C. J. (2019). Sidewalk Environment for Visual Navigation [Ensemble de données]. Lien externe
Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2017). Data mining. (4e éd.). Lien externe
Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2017). Extending instance-based and linear models. Dans Data Mining (p. 243-284). Lien externe
Wei, B., & Pal, C. J. (août 2011). Heterogeneous transfer learning with RBMs [Communication écrite]. 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference (AAAI 2011/IAAI 2011), San Francisco, CA, United states. Lien externe
Yuan, Y., Chen, C., Pal, C. J., & Liu, X. (avril 2025). ParetoFlow: guided flows in multi-objective optimization [Affiche]. 13th International Conference on Learning Representations (ICLR 2025), Singapore, Singapore. Lien externe
Yuan, X., Côté, M.-A., Fu, J., Lin, Z., Pal, C. J., Bengio, Y., & Trischler, A. (novembre 2019). Interactive language learning by question answering [Communication écrite]. Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, China. Lien externe
Yuan, X., Fu, J., Côté, M.-A., Tay, Y., Pal, C. J., & Trischler, A. (juillet 2020). Interactive Machine Comprehension with Information Seeking Agents [Communication écrite]. 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Lien externe
Yao, L., Torabi, A., Cho, K., Ballas, N., Pal, C. J., Larochelle, H., & Courville, A. (décembre 2015). Describing videos by exploiting temporal structure [Communication écrite]. 15th IEEE International Conference on Computer Vision (ICCV 2015), Santiago, Chile. Lien externe
