Showing 1–20 of 23 results
/ Date/ Name
Oct 22, 2020Posterior Re-calibration for Imbalanced DatasetsOct 27, 2021A Geometric Perspective towards Neural Calibration via Sensitivity DecompositionJun 28, 2021Striking the Right Balance: Recall Loss for Semantic SegmentationMar 19, 2023Trainable Projected Gradient Method for Robust Fine-tuningAug 23, 2023Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionOct 28, 2021Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution DataNov 3, 2024Rethinking Weight Decay for Robust Fine-Tuning of Foundation ModelsOct 29, 2023Fast Trainable Projection for Robust Fine-TuningNov 6, 2019UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input DegradationSep 21, 2022FedFOR: Stateless Heterogeneous Federated Learning with First-Order RegularizationMay 30, 2020When2com: Multi-Agent Perception via Communication Graph GroupingJul 1, 2021Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial HandshakingJul 10, 2020Image Captioning with Compositional Neural Module NetworksAug 29, 2022Open-Set Semi-Supervised Object DetectionFeb 21, 2025Directional Gradient Projection for Robust Fine-Tuning of Foundation ModelsMar 21, 2020Who2com: Collaborative Perception via Learnable Handshake CommunicationMar 31, 2022A Closer Look at Rehearsal-Free Continual LearningJun 16, 2023Continual Adaptation of Vision Transformers for Federated LearningApr 24, 2025Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive ModelsOct 7, 2022Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks