Few-Shot Learning

Few-Shot Dataset Distillation via Translative Pre-Training ICCV 2023 Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning ACL 2023 Few-Shot Domain Adaptation For End-to-End Communication ICLR 2023 Few-shot Event Detection: An Empirical Study and a Unified View ACL 2023 Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation ACL 2023 Few Shot Hematopoietic Cell Classification MIDL 2023 Few-Shot In-Context Imitation Learning via Implicit Graph Alignment CoRL 2023 Few-shot In-context Learning on Knowledge Base Question Answering ACL 2023 Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023 Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment CVPR 2023 Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation ACL 2023 Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention WACV 2023 Few-Shot Object Counting With Similarity-Aware Feature Enhancement WACV 2023 Few-Shot Object Detection via Improved Classification Features WACV 2023 Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems Interspeech 2023 Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation ICCV 2023 Few Shot Rationale Generation using Self-Training with Dual Teachers ACL 2023 Few-Shot Referring Relationships in Videos CVPR 2023 Few-Shot Semantic Image Synthesis With Class Affinity Transfer CVPR 2023 Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues EACL 2023 Few-Shot Video Classification via Representation Fusion and Promotion Learning ICCV 2023 FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation IJCAI 2023 FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL 2023 Fine-Tuned CLIP Models Are Efficient Video Learners CVPR 2023 Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models CVPR 2023