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Unlocking Slot Attention by Changing Optimal Transport Costs


Jan 30, 2023
Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

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CrossSplit: Mitigating Label Noise Memorization through Data Splitting


Dec 03, 2022
Jihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien

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Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective


Nov 26, 2022
S茅bastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand

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* 36 pages 

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Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints


Aug 08, 2022
Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien

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* Code available at https://github.com/gallego-posada/constrained_sparsity 

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Partial Disentanglement via Mechanism Sparsity


Jul 15, 2022
S茅bastien Lachapelle, Simon Lacoste-Julien

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* Appears in: The First Workshop on Causal Representation Learning (CRL 2022) at UAI. 26 pages 

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Data-Efficient Structured Pruning via Submodular Optimization


Mar 09, 2022
Marwa El Halabi, Suraj Srinivas, Simon Lacoste-Julien

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Bayesian Structure Learning with Generative Flow Networks


Feb 28, 2022
Tristan Deleu, Ant贸nio G贸is, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio

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Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation


Nov 23, 2021
Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

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Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent -- an Open Problem


Nov 12, 2021
R茅mi Le Priol, Frederik Kunstner, Damien Scieur, Simon Lacoste-Julien

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* 9 pages and 3 figures + Appendix 

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A Survey of Self-Supervised and Few-Shot Object Detection


Nov 08, 2021
Gabriel Huang, Issam Laradji, David Vazquez, Simon Lacoste-Julien, Pau Rodriguez

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* Awesome Few-Shot Object Detection (Leaderboard) at https://github.com/gabrielhuang/awesome-few-shot-object-detection 

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