Showing 1–15 of 15 results
/ Date/ Name
Nov 6, 2024dsld: A Socially Relevant Tool for Teaching StatisticsAug 13, 2025Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMsAug 7, 2022Class-Incremental Learning with Cross-Space Clustering and Controlled TransferOct 12, 2023Lag-Llama: Towards Foundation Models for Probabilistic Time Series ForecastingOct 24, 2024Context is Key: A Benchmark for Forecasting with Essential Textual InformationMar 12, 2026Overcoming the Modality Gap in Context-Aided ForecastingAug 7, 2022Learning Modular Structures That Generalize Out-of-DistributionOct 2, 2023TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time SeriesOct 9, 2021An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized ModelsSep 20, 2022Extremely Simple Activation Shaping for Out-of-Distribution DetectionApr 16, 2022Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP TasksDec 9, 2024Creating a Cooperative AI Policymaking Platform through Open Source CollaborationJun 12, 2025Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series ForecastingFeb 19, 2026Multi-Ecosystem Modeling of OSS Project SustainabilityMar 9, 2026Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting