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Items where Author is "Pal, Christopher J."

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Number of items: 84.

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). External link

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). External link

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

Tesfaldet, M., Nowrouzezahrai, D., & Pal, C. J. (2022, November). Attention-based Neural Cellular Automata [Poster]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. External link

Roy, J., Girgis, R., Romoff, J., Bacon, P.-L., & Pal, C. J. (2022, July). Direct Behavior Specification via Constrained Reinforcement Learning [Paper]. 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD, USA. External link

Girgis, R., Golemo, F., Codevilla, F., Weiss, M., D'Souza, J. A., Kahou, S. E., Heide, F., & Pal, C. J. (2022, April). Latent variable sequential set transformers for joint multi-agent motion prediction [Paper]. 10th International Conference on Learning Representations (ICLR 2022). External link

Voleti, V., Jolicoeur-Martineau, A., & Pal, C. J. (2022, November). MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation [Presentation]. In 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. External link

Weiss, M., Rahaman, N., Locatello, F., Pal, C. J., Bengio, Y., Scholkopf, B., Ballas, N., & Li, L. E. (2022, November). Neural Attentive Circuits [Poster]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. 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

Voleti, V., Oreshkin, B., Bocquelet, F., Harvey, F., Menard, L.-S., & Pal, C. J. (2022, December). SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows [Paper]. SIGGRAPH Asia 2022 Technical Communications, Daegu, Korea, Republic of (7 pages). External link

Pilault, J., El Hattami, A., & Pal, C. J. (2021, May). Conditionally adaptive multi-task learning: Improving transfer learning in nlp using fewer parameters & less data [Poster]. 9th International Conference on Learning Representations (ICLR 2021), Vienne, Austria. Unavailable

Bouteiller, Y., Ramstedt, S., Beltrame, G., Pal, C. J., & Binas, J. (2021, May). Reinforcement Learning with Random Delays [Poster]. 9th International Conference on Learning Representations (ICLR 2021). Unavailable

Barde, P., Roy, J., Jeon, W., Pineau, J., Nowrouzezahrai, D., & Pal, C. J. (2020, December). Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020) (11 pages). External link

Yuan, X., Cote, M.-A., Fu, J., Lin, Z., Pal, C. J., Bengio, Y., & Trischler, A. (2019, November). Interactive language learning by question answering [Paper]. Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, China. External link

Yuan, X., Fu, J., Cote, M.-A., Tay, Y., Pal, C. J., & Trischler, A. (2020, July). Interactive Machine Comprehension with Information Seeking Agents [Paper]. 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). External link

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. External link

Gontier, N., Sinha, K., Reddy, S., & Pal, C. J. (2020, December). Measuring systematic generalization in neural proof generation with transformers [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020) (17 pages). External link

Bengio, Y., Deleu, T., Rahaman, N., Ke, N. R., Lachapelle, S., Bilaniuk, O., Goyal, A., & Pal, C. J. (2020, April). A meta-transfer objective for learning to disentagle causal mechanisms [Paper]. 8th International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethiopia (27 pages). External link

Pilault, J., Li, R., Subramanian, S., & Pal, C. J. (2020, November). On extractive and abstractive neural document summarization with transformer language models [Paper]. Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). External link

Roy, J., Barde, P., Harvey, F. G., Nowrouzezahrai, D., & Pal, C. J. (2020, December). Promoting coordination through policy regularization in multi-agent deep reinforcement learning [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020). External link

Liu, D., Fu, J., Zhang, Y., Pal, C. J., & Lv, J. (2020, February). Revision in continuous space: Unsupervised text style transfer without adversarial learning [Paper]. 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, NY, USA. External link

Harvey, F. G., Yurick, M., Nowrouzezahrai, D., & Pal, C. J. (2020). Robust motion in-betweening. ACM Transactions on Graphics, 39(4), 12 pages. External link

Tay, Y., Ong, D., Fu, J., Chan, A., Chen, N. F., Tuan, L. A., & Pal, C. J. (2020, July). Would you rather? A new benchmark for learning machine alignment with cultural values and social preferences [Paper]. 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). 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

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. External link

Sankar, C., Subramanian, S., Pal, C. J., Chandar, S., & Bengio, Y. (2019, July). Do neural dialog systems use the conversation history effectively? An empirical study [Paper]. 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy. External link

Lim, J. H., Pinheiro, P. O., Rostamzadeh, N., Pal, C. J., & Ahn, S. (2019, December). Neural Multisensory Scene Inference [Paper]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C.. External link

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. 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

Piche, A., Thomas, V., Ibrahim, C., Bengio, Y., & Pal, C. J. (2019, May). Probabilistic planning with sequential Monte Carlo methods [Poster]. 7th International Conference on Learning Representations, New Orleans, Louisiana (8 pages). External link

Ramstedt, S., & Pal, C. J. (2019, December). Real-Time Reinforcement Learning [Paper]. 33rd International Conference on Neural Information Processing Systems (NIPS 2019), Vancouver, British Columbia, Canada. External link

Ramstedt, S., & Pal, C. J. (2019, December). Real-time reinforcement learning [Poster]. 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C. (1 page). External link

Krueger, D., Maharaj, T., Kramar, J., Pezeshki, M., Ballas, N., Ke, N. R., Goyal, A., Bengio, Y., Courville, A., & Pal, C. J. (2017, April). Zoneout: Regularizing rNNs by randomly preserving hidden activations [Paper]. 5th International Conference on Learning Representations (ICLR 2017), Toulon, France (11 pages). External link

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. External link

Trabelsi, C., Bilaniuk, O., Zhang, Y., Serdyuk, D., Subramanian, S., Santos, J. F., Mehri, S., Rostamzadeh, N., Bengio, Y., & Pal, C. J. (2018, April). Deep complex networks [Paper]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada (19 pages). External link

Ke, N. R., Zoma, K., Sordoni, A., Lin, Z., Trischler, A., Bengio, Y., Pineau, J., Charlin, L., & Pal, C. J. (2018, July). Focused hierarchical RNNs for conditional sequence processing [Paper]. 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden. External link

Honari, S., Molchanov, P., Tyree, S., Vincent, P., Pal, C. J., & Kautz, J. (2018, June). Improving Landmark Localization with Semi-Supervised Learning [Paper]. 31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, United states. External link

Subramanian, S., Trischler, A., Bengio, Y., & Pal, C. J. (2018, April). Learning general purpose distributed sentence representations via large scale multitask learning [Paper]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada. External link

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. External link

Vorontsov, E., Tang, A., Pal, C. J., & Kadoury, S. (2018, April). Liver lesion segmentation informed by joint liver segmentation [Paper]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C.. External link

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. External link

Harvey, F. G., & Pal, C. J. (2018, December). Recurrent transition networks for character locomotion [Paper]. SIGGRAPH Asia Technical Briefs, Tokyo, Japan. External link

Ke, N. R., Goyal, A., Bilaniuk, O., Binas, J., Mozer, M. C., Pal, C. J., & Bengio, Y. (2018, December). Sparse attentive backtracking: Temporal credit assignment through reminding [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (12 pages). External link

Li, R., Kahou, S. E., Schulz, H., Michalski, V., Charlin, L., & Pal, C. J. (2018, December). Towards deep conversational recommendations [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (11 pages). External link

Subramanian, S., Rajeswar, S., Sordoni, A., Trischler, A., Courville, A., & Pal, C. J. (2018, December). Towards text generation with adversarially learned neural outlines [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (13 pages). External link

Serdyuk, D., Ke, N. R., Sordoni, A., Trischler, A., Pal, C. J., & Bengio, Y. (2018, April). Twin Networks: Matching the future for sequence generation [Paper]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada (12 pages). 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

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. Available

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. External link

Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2017). Data mining. External link

Maharaj, T., Ballas, N., Rohrbach, A., Courville, A., & Pal, C. J. (2016, July). A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering [Paper]. 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI. External link

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. External link

Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2017). Extending instance-based and linear models. In Data Mining (243-284). External link

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

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. External link

Fu, J., Ng, R., Chen, D., Ilievski, I., Pal, C. J., & Chua, T.-S. (2017, August). Neural Optimizers with hypergradients for tuning parameter-wise learning rates [Paper]. Automatic Machine Learning Workshop (ICML 2017), Sydney, Australia (8 pages). Unavailable

Kahou, S. E., Michalski, V., Memisevic, R., Pal, C. J., & Vincent, P. (2017, July). RATM: Recurrent Attentive Tracking Model [Paper]. 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2017), Honolulu, HI, United states. External link

Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data Mining: Practical Machine Learning Tools and Techniques. (4th ed.). External link

Ballas, N., Yao, L., Pal, C. J., & Courville, A. (2016, June). Delving Deeper into Convolution Networks for Learning Video Representation [Paper]. 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). External link

Ballas, N., Yao, L., Pal, C. J., & Courville, A. (2016, May). Delving deeper into convolutional networks for learning video representations [Paper]. 4th International Conference on Learning Representations (ICLR 2016), San Juan, Puerto Rico (11 pages). External link

Yao, L., Torabi, A., Cho, K., Ballas, N., Pal, C. J., Larochelle, H., & Courville, A. (2015, December). Describing videos by exploiting temporal structure [Paper]. 15th IEEE International Conference on Computer Vision (ICCV 2015), Santiago, Chile. External link

Kahou, S. E., Bouthillier, X., Lamblin, P., Gulcehre, C., 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. External link

Drozdzal, M., Vorontsov, E., Chartrand, G., Kadoury, S., & Pal, C. J. (2016, October). The Importance of Skip Connections in Biomedical Image Segmentation [Paper]. 2nd International Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016), held in conjunction with MICCAI 2016, Athens, Greece. External link

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. (2015, October). ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI [Paper]. Ischemic Stroke Lesion Segmentation (ISLES) challenge organized in conjunction with the MICCAI 2015 conference, Munich, Germany. Published in Medical Image Analysis, 35. External link

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. External link

Honari, S., Yosinski, J., Vincent, P., & Pal, C. J. (2016, June). Recombinator networks: Learning coarse-to-fine feature aggregation [Paper]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, United states. External link

Harvey, F. G., & Pal, C. J. (2016, June). Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences [Paper]. 33rd International Conference on Machine Learning, New York, NY. Published in JMLR Workshop and Conference Proceedings, 48. Unavailable

Havaei, M., Dutil, F., Pal, C. J., Larochelle, H., & Jodoin, P.-M. (2015, October). A Convolutional Neural Network Approach to Brain Tumor Segmentation [Paper]. 1st International Workshop on Brain Lesion (BrainLes 2015), Munich, Germany. External link

Ibrahim, M. H., Pal, C. J., & Pesant, G. (2015, January). Exploiting determinism to scale relational inference [Paper]. 29th AAAI Conference on Artificial Intelligence (AAAI 2015) and 27th Innovative Applications of Artificial Intelligence Conference (IAAI 2015), Austin, TX, United states. Published in Proceedings of the ... AAAI Conference on Artificial Intelligence, 29(1). External link

Kahou, S. E., Froumenty, P., & Pal, C. J. (2014, September). Facial expression analysis based on high dimensional binary features [Paper]. European Conference on Computer Vision (ECCV 2014), Zurich, Switzerland. External link

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. External link

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. External link

Kahou, S. E., Michalski, V., Konda, K., Memisevic, R., & Pal, C. J. (2015, November). Recurrent Neural Networks for Emotion Recognition in Video [Paper]. 17th International Conference on Multimodal Interaction (ICMI 2015), Seattle, USA. External link

Hasan, M. K., & Pal, C. J. (2014, July). Experiments on visual information extraction with the faces of Wikipedia [Paper]. 28th AAAI Conference on Artificial Intelligence, Québec, Québec. Published in Proceedings of the ... AAAI Conference on Artificial Intelligence, 28(1). External link

Bhole, C., Pal, C. J., Rim, D., & Wismuller, A. (2014). 3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning. Machine Vision and Applications, 25(2), 301-325. External link

Kahou, S. E., Pal, C. J., Bouthillier, X., Froumenty, P., Gulcehre, C., 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. (2013, December). Combining modality specific deep neural networks for emotion recognition in video [Paper]. 15th ACM International Conference on Multimodal Interaction (ICMI 2013), Sydney, NSW, Australia. External link

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. External link

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. External link

Bhole, C., Morsillo, N., & Pal, C. J. (2011, September). 3D segmentation in CT imagery with conditional random fields and histograms of oriented gradients [Paper]. 2nd International Workshop on Machine Learning in Medical Imaging (MLMI 2011), Toronto, ON, Canada. External link

Wei, B., & Pal, C. J. (2011, August). Heterogeneous transfer learning with RBMs [Paper]. 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference (AAAI 2011/IAAI 2011), San Francisco, CA, United states. External link

Hasan, M. K., & Pal, C. J. (2011, September). Improving alignment of faces for recognition [Paper]. 9th IEEE International Symposium on Robotic and Sensors Environments (ROSE 2011), Montréal, Québec. External link

Tran, L., Khoshabeh, R., Jain, A., Pal, C. J., & Nguyen, T. (2011, May). Spatially consistent view synthesis with coordinate alignment [Paper]. 36th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech republic. External link

Tran, L. C., Pal, C. J., & Nguyen, T. Q. (2010, September). View synthesis based on conditional random fields and graph cuts [Paper]. 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong. External link

Messing, R., & Pal, C. J. (2009, March). Behavior recognition in video with extended models of feature velocity dynamics [Paper]. AAAI Spring Symposium on Human Behavior Modeling, Stanford, CA, United states. External link

List generated on: Mon Apr 15 07:42:15 2024 EDT