Showing 1–20 of 26 results
/ Date/ Name
Jun 27, 2019Few-Shot Video Classification via Temporal AlignmentMar 14, 2023Relational Multi-Task Learning: Modeling Relations between Data and TasksMay 21, 2023Learning Large Graph Property Prediction via Graph Segment TrainingJun 18, 2019Learning Imbalanced Datasets with Label-Distribution-Aware Margin LossMar 14, 2023AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural NetworksJun 29, 2020Heteroskedastic and Imbalanced Deep Learning with Adaptive RegularizationAug 6, 2023Communication-Free Distributed GNN Training with Vertex CutNov 1, 2018CariGANs: Unpaired Photo-to-Caricature TranslationApr 21, 2019TransGaGa: Geometry-Aware Unsupervised Image-to-Image TranslationOct 3, 2019Learning Temporal Action Proposals With Fewer LabelsJun 7, 2022Learning Backward Compatible EmbeddingsMar 31, 2024PyTorch Frame: A Modular Framework for Multi-Modal Tabular LearningAug 25, 2023TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational GraphsMay 11, 2019Disentangling Content and Style via Unsupervised Geometry DistillationJun 17, 2024AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive ReasoningSep 10, 2018Interstellar: Using Halide's Scheduling Language to Analyze DNN AcceleratorsOct 26, 2022TuneUp: A Simple Improved Training Strategy for Graph Neural NetworksDec 7, 2023GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned ExpertsNov 15, 2020Coresets for Robust Training of Neural Networks against Noisy LabelsFeb 6, 2021Open-World Semi-Supervised Learning