Showing 1–20 of 22 results
/ Date/ Name
Aug 9, 2025Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on TreatmentsMar 21, 2024Language Models Can Reduce Asymmetry in Information MarketsNov 4, 2022A General Purpose Neural Architecture for Geospatial SystemsOct 21, 2022Implicit Offline Reinforcement Learning via Supervised LearningOct 14, 2022Neural Attentive CircuitsNov 3, 2021Learned Image Compression for Machine PerceptionOct 6, 2021Learning Multi-Objective Curricula for Robotic Policy LearningMar 1, 2021Accounting for Variance in Machine Learning BenchmarksOct 23, 2020Predicting Infectiousness for Proactive Contact TracingOct 21, 2020DuoRAT: Towards Simpler Text-to-SQL ModelsJun 29, 2020Medical Imaging with Deep Learning: MIDL 2020 -- Short Paper TrackOct 2, 2019Learning Neural Causal Models from Unknown InterventionsJul 31, 2019An Empirical Study of Batch Normalization and Group Normalization in Conditional ComputationMar 21, 2019Towards Standardization of Data Licenses: The Montreal Data LicenseDec 18, 2018Towards Deep Conversational RecommendationsNov 25, 2018A Survey of Mobile Computing for the Visually ImpairedSep 11, 2018Sparse Attentive Backtracking: Temporal CreditAssignment Through RemindingJun 21, 2018Fashion-Gen: The Generative Fashion Dataset and ChallengeJun 12, 2018Focused Hierarchical RNNs for Conditional Sequence ProcessingJul 24, 2017Liver lesion segmentation informed by joint liver segmentation