Showing 1–20 of 27 results
/ Date/ Name
Apr 15, 2024Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsMar 21, 2024Language Models Can Reduce Asymmetry in Information MarketsMay 31, 2023Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality PriorNov 4, 2022A General Purpose Neural Architecture for Geospatial SystemsOct 14, 2022Neural Attentive CircuitsOct 23, 2020Predicting Infectiousness for Proactive Contact TracingApr 24, 2020The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information BudgetApr 21, 2020Experience Grounds LanguageFeb 20, 2020Neural Bayes: A Generic Parameterization Method for Unsupervised Representation LearningOct 2, 2019Learning Neural Causal Models from Unknown InterventionsJun 5, 2019How to Initialize your Network? Robust Initialization for WeightNorm & ResNetsMar 21, 2019Towards Standardization of Data Licenses: The Montreal Data LicenseJan 30, 2019InfoBot: Transfer and Exploration via the Information BottleneckJan 11, 2019The Benefits of Over-parameterization at Initialization in Deep ReLU NetworksOct 6, 2018h-detach: Modifying the LSTM Gradient Towards Better OptimizationSep 11, 2018Sparse Attentive Backtracking: Temporal CreditAssignment Through RemindingJun 22, 2018On the Spectral Bias of Neural NetworksJun 12, 2018Focused Hierarchical RNNs for Conditional Sequence ProcessingFeb 24, 2018A Walk with SGDNov 15, 2017Variational Bi-LSTMs