12 citations · 27 across the 5 of their papers we have counts for
7 papers
Adversarial Example Games
Avishek Joey Bose, Gauthier Gidel, Hugo Berard +4
The existence of adversarial examples capable of fooling trained neural network classifiers calls for a much better understanding of possible attacks to guide the development of sa…
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling
Avishek Joey Bose, Andre Cianflone, William L. Hamilton
Adversarial attacks on deep neural networks traditionally rely on a constrained optimization paradigm, where an optimization procedure is used to obtain a single adversarial pertur…
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia +3
The standard loss function used to train neural network classifiers, categorical cross-entropy (CCE), seeks to maximize accuracy on the training data; building useful representatio…
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers
Andre Cianflone, Yulan Feng, Jad Kabbara +1
We introduce the task of predicting adverbial presupposition triggers such as also and again. Solving such a task requires detecting recurring or similar events in the discourse co…
The CLaC Discourse Parser at CoNLL-2015
Majid Laali, Elnaz Davoodi, Leila Kosseim
This paper describes our submission (kosseim15) to the CoNLL-2015 shared task on shallow discourse parsing. We used the UIMA framework to develop our parser and used ClearTK to add…
The CLaC Discourse Parser at CoNLL-2016
Majid Laali, Andre Cianflone, Leila Kosseim
This paper describes our submission "CLaC" to the CoNLL-2016 shared task on shallow discourse parsing. We used two complementary approaches for the task. A standard machine learnin…