Showing 1–20 of 30 results
/ Date/ Name
Apr 17, 2022NICO++: Towards Better Benchmarking for Domain GeneralizationFeb 9, 2024On the Out-Of-Distribution Generalization of Multimodal Large Language ModelsMar 19, 2025Understanding the Generalization of In-Context Learning in Transformers: An Empirical StudySep 3, 2025LimiX: Unleashing Structured-Data Modeling Capability for Generalist IntelligenceNov 3, 2021A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift GeneralizationJul 13, 2021Towards Unsupervised Domain GeneralizationMar 27, 2022Towards Domain Generalization in Object DetectionJul 20, 2023Flatness-Aware Minimization for Domain GeneralizationMar 3, 2023Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves GeneralizationApr 16, 2021Deep Stable Learning for Out-Of-Distribution GeneralizationDec 2, 2020Learning Vector Quantized Shape Code for Amodal Blastomere Instance SegmentationMay 25, 2023Meta Adaptive Task Sampling for Few-Domain GeneralizationMay 21, 2023Exploring and Exploiting Data Heterogeneity in RecommendationApr 14, 2025COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution ShiftsOct 31, 2025ODP-Bench: Benchmarking Out-of-Distribution Performance PredictionMar 21, 2026A Knowledge-Informed Pretrained Model for Causal DiscoveryFeb 9, 2026TFMLinker: Universal Link Predictor by Graph In-Context Learning with Tabular Foundation ModelsDec 2, 2022Stable Learning via Sparse Variable IndependenceDec 21, 2025Generating Risky Samples with Conformity Constraints via Diffusion ModelsMar 4, 2024A Survey on Evaluation of Out-of-Distribution Generalization