Application Areas

Fast Private Kernel Density Estimation via Locality Sensitive Quantization ICML 2023 Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers AAAI 2023 Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023 Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding IJCAI 2023 Fast Trainable Projection for Robust Fine-tuning NeurIPS 2023 Fcaformer: Forward Cross Attention in Hybrid Vision Transformer ICCV 2023 FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning NeurIPS 2023 f-Divergence Minimization for Sequence-Level Knowledge Distillation ACL 2023 FDViT: Improve the Hierarchical Architecture of Vision Transformer ICCV 2023 FEAMOE: Fair, Explainable and Adaptive Mixture of Experts IJCAI 2023 Feasible Recourse Plan via Diverse Interpolation AISTATS 2023 FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER CVPR 2023 Feature Alignment and Uniformity for Test Time Adaptation CVPR 2023 Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract) AAAI 2023 Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning NeurIPS 2023 Feature-Level Debiased Natural Language Understanding AAAI 2023 FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models ICCV 2023 Feature Programming for Multivariate Time Series Prediction ICML 2023 Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks ICLR 2023 Feature Staleness Aware Incremental Learning for CTR Prediction IJCAI 2023 FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023 FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction ICML 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023 Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer WACV 2023