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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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
Krueger, D., Ballas, N., Jastrzebski, S., Arpit, D., Kanwal, M. S., Maharaj, T., Bengio, E., Fischer, A., & Courville, A. (2017, April). Deep nets don't learn via memorization [Paper]. 5th International Conference on Learning Representations (ICLR 2017), Toulon, France (4 pages). 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
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
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
