| 2024 |
Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks |
Vani, Ankit |
Courville, Aaron |
| 2024 |
Beyond the status quo in deep reinforcement learning |
Agarwal, Rishabh |
Courville, Aaron; Gendron-Bellemare, Marc |
| 2024 |
Enhancing factuality and coverage in summarization via referencing key extracted content |
Belanger Albarran, Georges |
Pal, Christopher |
| 2024 |
Searching for Q* |
Piché, Alexandre |
Pal, Christopher |
| 2024 |
Constrained optimization for machine learning : algorithms and applications |
Gallego-Posada, Jose |
Lacoste-Julien, Simon |
| 2024 |
Identifying latent structures in data |
Lachapelle, Sébastien |
Lacoste-Julien, Simon |
| 2024 |
Enhancing risk-based authentication with federated learning : introducing the F-RBA framework |
Fereidouni, Hamidreza |
Hafid, Abdelhakim |
| 2024 |
Generative models, theory and applications |
Askari Hemmat, Reyhane |
Mitliagkas, Ioannis; Le Roux, Nicolas |
| 2024 |
Embedding cultural diversity in prototype-based recommender systems |
Moradi, Armin |
Farnadi, Golnoosh |
| 2024 |
Modélisation de l'activité cérébrale mesurée par imagerie par résonance magnétique fonctionnelle dans une tâche de jeu vidéo par des modèles d'apprentissage profond |
Paugam, François |
Bellec, Pierre-Louis; Lajoie, Guillaume |
| 2024 |
Deep learning applications to climate change mitigation |
Schmidt, Victor |
Bengio, Yoshua |
| 2024 |
Understanding our 3D world via generative modeling |
Liu, Zhen |
Paull, Liam; Bengio, Yoshua |
| 2024 |
Enhancing agent learning through world dynamics modeling |
Sun, Zhiyuan |
Liu, Bang |
| 2024 |
Self-supervision for reinforcement learning |
Anand, Ankesh |
Courville, Aaron |
| 2024 |
Evaluating approaches to solving proportional sentence analogies |
Blain-Montesano, Yves |
Langlais, Philippe |
| 2024 |
Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach |
Khorasani, Arian |
Rish, Irina |
| 2024 |
Building intuitive reinforcement learning algorithms |
D'Oro, Pierluca |
Gendron-Bellemare, Marc; Bacon, Pierre-Luc |
| 2024 |
Intrinsic exploration for reinforcement learning beyond rewards |
Creus-Castanyer, Roger |
Berseth, Glen |
| 2024 |
On PI controllers for updating lagrange multipliers in constrained optimization |
Sohrabi, Motahareh |
Lacoste-Julien, Simon |
| 2024 |
Détection universelle des images synthétiques générées par les modèles de diffusion |
Bourega, Khadidja Yasmine |
Aïmeur, Esma |
| 2024 |
Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation |
Weyssow, Martin |
Sahraoui, Houari |
| 2024 |
Microservices identification in existing applications using meta-heuristics optimization and machine learning |
Barry, Hanifa |
Sahraoui, Houari |
| 2024 |
FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation |
Amri, Sabrine |
Aïmeur, Esma |
| 2024 |
Towards efficient and effective preference alignment for large language models |
Thakkar, Megh Vipul |
Anbil Parthipan, Sarath Chandar
|
| 2024 |
The equivalence of contrastive learning and graph convolution in collaborative filtering |
Wu, Yihong |
Nie, Jian-Yun |
| 2024 |
Towards systematic generalization through meta-learning modular architectures and improving generative flow networks |
Madan, Kanika |
Bengio, Yoshua |
| 2024 |
Beyond top line metrics : understanding the trade-off between model size and generalization properties |
Hooker, Sara |
Courville, Aaron; Larochelle, Hugo |
| 2024 |
An investigation of weight perturbation for mitigating Spurious Correlations |
Nobahari, Rozhin |
Lacoste-Julien, Simon |
| 2024 |
Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models |
Vaidhya, Tejas |
Rish, Irina |
| 2024 |
Quotient Types in Typer |
Tan, James Juan Whei |
Monnier, Stefan |
| 2024 |
Self-play for human-agent communication |
Gupta, Abhinav |
Pal, Christopher |
| 2023 |
Deep learning on signals : discretization invariance, lossless compression and nonuniform compression |
Demeule, Léa |
Berseth, Glen |
| 2023 |
Towards an extension of causal discovery with generative flow networks to latent variables models |
Manta, Dragos Cristian |
Bengio, Yoshua |
| 2023 |
Building sample-efficient reinforcement learning |
Schwarzer, Max Allen |
Gendron-Bellemare, Marc; Courville, Aaron |
| 2023 |
Deep learning algorithms for database-driven peptide search |
Zumer, Jeremie |
Lemieux, Sébastien |
| 2023 |
Efficient reformulations for deterministic and choice-based network design problems |
Legault, Robin |
Frejinger, Emma; Côté, Jean-François |
| 2023 |
An exploratory study of decision-focused learning for mutli-commodity network design in transportation |
Sugiarta, Wisang |
Frejinger, Emma |
| 2023 |
Adding hygiene to gambit scheme |
Doucet, Antoine |
Feeley, Marc |
| 2023 |
Differentiable best response shaping |
Aghajohari, Milad |
Courville, Aaron |
| 2023 |
Coordination in generative modeling, automatic differentiation and multi-agent learning |
Cooijmans, Tim M.E. |
Courville, Aaron |
| 2023 |
Probability flows in deep learning |
Huang, Chin-Wei |
Courville, Aaron |
| 2023 |
Leveraging self-supervision for visual embodied navigation with neuralized potential fields |
Saavedra Ruiz, Miguel Angel |
Paull, Liam |
| 2023 |
Detection, recuperation and cross-subject classification of mental fatigue |
Hajj Assaf, Alyssa |
Frasson, Claude |
| 2023 |
Calibrated uncertainty estimation for SLAM |
Bansal, Dishank |
Paull, Liam |
| 2023 |
Parameter-efficient modeling and robust automatic evaluation of image captioning |
Ahmadi, Saba |
Agrawal, Aishwarya |
| 2023 |
Context-aware ranking : from search to dialogue |
Zhu, Yutao |
Nie, Jian-Yun |
| 2023 |
On impact of mixing times in continual reinforcement learning |
Raparthy, Sharath Chandra |
Rish, Irina |
| 2023 |
Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks |
Lahlou, Salem |
Bengio, Yoshua |
| 2023 |
AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games |
Kemtur, Anirudha |
Bellec, Pierre-Louis
; Jerbi, Karim |
| 2023 |
Low-resource suicide ideation and depression detection with multitask learning and large language models |
Breau, Pierre-William |
Liu, Bang; Nie, Jian-Yun |