Samira Ebrahimi Kahou

According to our database, Samira Ebrahimi Kahou authored at least 60 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Neural semantic tagging for natural language-based search in building information models: Implications for practice.

Mehrzad Shahinmoghadam, Samira Ebrahimi Kahou, Ali Motamedi

Comput. Ind., February, 2024

A Survey on Fairness Without Demographics.

Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji

Trans. Mach. Learn. Res., 2024

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation.

Rambod Azimi, Rishav Rishav, Marek Teichmann, Samira Ebrahimi Kahou

CoRR, 2024

Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks.

Riadh Azzaz, Valentin Hurel, Patrice Menard, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

CoRR, 2024

Learning Multi-agent Multi-machine Tending by Mobile Robots.

Abdalwhab Abdalwhab, Giovanni Beltrame, Samira Ebrahimi Kahou, David St-Onge

CoRR, 2024

Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment.

Aamer Abdul Rahman, Pranav Agarwal, Rita Noumeir, Philippe Jouvet, Vincent Michalski, Samira Ebrahimi Kahou

CoRR, 2024

Reinforcement Learning for Sequence Design Leveraging Protein Language Models.

Jithendaraa Subramanian, Shivakanth Sujit, Niloy Irtisam, Umong Sain, Derek Nowrouzezahrai, Samira Ebrahimi Kahou, Riashat Islam

CoRR, 2024

On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization.

Jordi Armengol-Estapé, Vincent Michalski, Ramnath Kumar, Pierre-Luc St-Charles, Doina Precup, Samira Ebrahimi Kahou

CoRR, 2024

Learning to Play Atari in a World of Tokens.

Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

From legacy to microservices: A type-based approach for microservices identification using machine learning and semantic analysis.

Imen Trabelsi, Manel Abdellatif, Abdalgader Abubaker, Naouel Moha, Sébastien Mosser, Samira Ebrahimi Kahou, Yann-Gaël Guéhéneuc

J. Softw. Evol. Process., October, 2023

Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies.

Shivakanth Sujit, Pedro H. M. Braga, Jörg Bornschein, Samira Ebrahimi Kahou

Trans. Mach. Learn. Res., 2023

Spectral Temporal Contrastive Learning.

Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf

CoRR, 2023

Fairness Under Demographic Scarce Regime.

Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji

CoRR, 2023

Transformers in Reinforcement Learning: A Survey.

Pranav Agarwal, Aamer Abdul Rahman, Pierre-Luc St-Charles, Simon J. D. Prince, Samira Ebrahimi Kahou

CoRR, 2023

CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning.

Nikunj Gupta, Samira Ebrahimi Kahou

CoRR, 2023

Source-free Domain Adaptation Requires Penalized Diversity.

Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei

CoRR, 2023

Prioritizing Samples in Reinforcement Learning with Reducible Loss.

Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Auxiliary Losses for Learning Generalizable Concept-based Models.

Ivaxi Sheth, Samira Ebrahimi Kahou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RelationalUNet for Image Segmentation.

Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Discovering Object-Centric Generalized Value Functions From Pixels.

Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou

Proceedings of the International Conference on Machine Learning, 2023

2022

Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning.

Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou

CoRR, 2022

Automatic Evaluation of Excavator Operators using Learned Reward Functions.

Pranav Agarwal, Marek Teichmann, Sheldon Andrews, Samira Ebrahimi Kahou

CoRR, 2022

BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning.

Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Mohammad Taher Pilehvar, Yadollah Yaghoobzadeh, Samira Ebrahimi Kahou

CoRR, 2022

Learning Latent Structural Causal Models.

Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou

CoRR, 2022

Locally Constrained Representations in Reinforcement Learning.

Somjit Nath, Samira Ebrahimi Kahou

CoRR, 2022

Latent Variable Models for Bayesian Causal Discovery.

Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou

CoRR, 2022

FHIST: A Benchmark for Few-shot Classification of Histological Images.

Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou

CoRR, 2022

Learning Robust Dynamics through Variational Sparse Gating.

Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction.

Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher Pal

Proceedings of the Tenth International Conference on Learning Representations, 2022

Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning.

Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Simple Video Generation using Neural ODEs.

David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal

CoRR, 2021

Latent Variable Nested Set Transformers & AutoBots.

Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher J. Pal

CoRR, 2021

Accounting for Variance in Machine Learning Benchmarks.

Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent

CoRR, 2021

Accounting for Variance in Machine Learning Benchmarks.

Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020

Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks.

Hadia Mohmmed Osman Ahmed Samil, Annabelle Martin, Arnav Kumar Jain, Susan Amin, Samira Ebrahimi Kahou

CoRR, 2020

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery.

Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio

CoRR, 2020

Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks.

Md Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou, Yoshua Bengio

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.

Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup

CoRR, 2019

Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events.

Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Dead-ends and Secure Exploration in Reinforcement Learning.

Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou

Proceedings of the 36th International Conference on Machine Learning, 2019

Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction.

Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments.

Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies.

Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Keep Drawing It: Iterative language-based image generation and editing.

Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor

CoRR, 2018

Towards Deep Conversational Recommendations.

Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

ChatPainter: Improving Text to Image Generation using Dialogue.

Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou, Yoshua Bengio

Proceedings of the 6th International Conference on Learning Representations, 2018

FigureQA: An Annotated Figure Dataset for Visual Reasoning.

Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, Ákos Kádár, Adam Trischler, Yoshua Bengio

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events.

Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Prabhat, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Do Deep Convolutional Nets Really Need to be Deep and Convolutional?

Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana

Proceedings of the 5th International Conference on Learning Representations, 2017

The "Something Something" Video Database for Learning and Evaluating Visual Common Sense.

Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fründ, Peter Yianilos, Moritz Mueller-Freitag, Florian Hoppe, Christian Thurau, Ingo Bax, Roland Memisevic

Proceedings of the IEEE International Conference on Computer Vision, 2017

RATM: Recurrent Attentive Tracking Model.

Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic, Christopher Joseph Pal, Pascal Vincent

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

EmoNets: Multimodal deep learning approaches for emotion recognition in video.

Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre, Vincent Michalski, Kishore Konda, Sébastien Jean, Pierre Froumenty, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron C. Courville, Pascal Vincent, Roland Memisevic, Christopher Joseph Pal, Yoshua Bengio

J. Multimodal User Interfaces, 2016

Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)?

Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson

CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.

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

CoRR, 2016

2015

FitNets: Hints for Thin Deep Nets.

Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, Yoshua Bengio

Proceedings of the 3rd International Conference on Learning Representations, 2015

RATM: Recurrent Attentive Tracking Model.

Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic

CoRR, 2015

Recurrent Neural Networks for Emotion Recognition in Video.

Samira Ebrahimi Kahou, Vincent Michalski, Kishore Reddy Konda, Roland Memisevic, Christopher Joseph Pal

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

2014

Facial Expression Analysis Based on High Dimensional Binary Features.

Samira Ebrahimi Kahou, Pierre Froumenty, Christopher J. Pal

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Combining modality specific deep neural networks for emotion recognition in video.

Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sébastien Jean, Pierre Luc Carrier, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

2010

Image compression: Comparative analysis of basic algorithms.

Yevgeniya Sulema, Samira Ebrahimi Kahou

Proceedings of the 2010 East-West Design & Test Symposium, 2010