Samira Shabanian

17 papers A* 5Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Fairness-Aware Structured Pruning in Transformers. AAAI Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
2024	A*	`conf`	Successor Features for Efficient Multi-Subject Controlled Text Generation. ICML Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian
2023	A*	`conf`	Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. AAAI Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
2023	J	`jnl`	Fairness-Aware Structured Pruning in Transformers. CoRR Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
2023	J	`jnl`	Should We Attend More or Less? Modulating Attention for Fairness. CoRR Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Sarath Chandar
2023	J	`jnl`	Successor Features for Efficient Multisubject Controlled Text Generation. CoRR Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung, Samira Shabanian
2023	A*	`conf`	Systematic Rectification of Language Models via Dead-end Analysis. ICLR Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian
2023	J	`jnl`	Systematic Rectification of Language Models via Dead-end Analysis. CoRR Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung, Samira Shabanian
2022	J	`jnl`	Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. CoRR Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
2022	—	`conf`	Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization. FAccT Divya Shanmugam, Fernando Diaz, Samira Shabanian, Michèle Finck, Asia Biega
2021	—	`conf`	Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics. NeurIPS Datasets and Benchmarks Charan Reddy, Deepak Sharma, Soroush Mehri, Adriana Romero-Soriano, Samira Shabanian, Sina Honari
2021	J	`jnl`	Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice. CoRR Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck, Asia Biega
2018	J	`jnl`	On the Learning Dynamics of Deep Neural Networks. CoRR Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville, Yoshua Bengio
2017	J	`jnl`	Variational Bi-LSTMs. CoRR Samira Shabanian, Devansh Arpit, Adam Trischler, Yoshua Bengio
2016	A*	`conf`	Bidirectional Helmholtz Machines. ICML Jörg Bornschein, Samira Shabanian, Asja Fischer, Yoshua Bengio
2016	J	`jnl`	Theano: A Python framework for fast computation of mathematical expressions. CoRR Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang
2015	J	`jnl`	Training opposing directed models using geometric mean matching. CoRR Jörg Bornschein, Samira Shabanian, Asja Fischer, Yoshua Bengio