2021-12
Pretraining Representations for Data-Efficient Reinforcement Learning
2021-06
Predicting Unreliable Predictions by Shattering a Neural Network
CMIM: Cross-Modal Information Maximization For Medical Imaging
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL.
2021-05
Understanding by Understanding Not: Modeling Negation in Language Models.
Data-Efficient Reinforcement Learning with Self-Predictive Representations
ICLR 2021
(2021-05-03)
papyrus.bib.umontreal.caPDF[Also on arXiv preprint arXiv:2007.05929 (2020-07-12)]2021-03
Implicit Regularization via Neural Feature Alignment
AISTATS 2021
(2021-03-18)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:2008.00938 (2020-08-03)]Pretraining Reward-Free Representations for Data-Efficient Reinforcement Learning
2020-10
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations.
Cross-Modal Information Maximization for Medical Imaging: CMIM.
2020-08
Implicit Regularization in Deep Learning: A View from Function Space.
2020-07
Data-Efficient Reinforcement Learning with Momentum Predictive Representations. (arXiv:2007.05929v2 [cs.LG] UPDATED)
arXiv Computer Science
(2020-07-24)
Data-Efficient Reinforcement Learning with Momentum Predictive Representations
An end-to-end approach for the verification problem: learning the right distance
2020-06
Deep Reinforcement and InfoMax Learning
2020-04
Locality and Compositionality in Zero-Shot Learning
2020-03
Object-Centric Image Generation from Layouts
2019-12
Unsupervised State Representation Learning in Atari
2019-10
Batch Weight for Domain Adaptation With Mass Shift
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
2019-09
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
2019-07
On-line Adaptative Curriculum Learning for GANs
2019-06
Learning Representations by Maximizing Mutual Information Across Views
2019-05
Prediction of Progression to Alzheimer's disease with Deep InfoMax
Leveraging exploration in off-policy algorithms via normalizing flows
2019-04
Spatio-Temporal Deep Graph Infomax.
2019-03
Adversarial Mixup Resynthesizers
2019-01
Leveraging exploration in off-policy algorithms via normalizing flows.
On Adversarial Mixup Resynthesis
2018-11
Keep Drawing It: Iterative language-based image generation and editing
2018-09
Unsupervised one-to-many image translation
Deep Graph Infomax
2018-08
Learning deep representations by mutual information estimation and maximization
2018-07
Mutual Information Neural Estimation.
2018-06
Mine: mutual information neural estimation
2018-02
Learning Generative Models with Locally Disentangled Latent Factors
Boundary Seeking GANs
Variance Regularizing Adversarial Learning
2018-01
MINE: Mutual Information Neural Estimation.
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