few-shot learning

Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation AAAI 2022 Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems NeurIPS 2022 Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion EMNLP 2022 Learning Non-Target Knowledge for Few-Shot Semantic Segmentation CVPR 2022 Learning Tensor Representations for Meta-Learning AISTATS 2022 Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification CVPR 2022 Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract) AAAI 2022 Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022 Learning To Learn by Jointly Optimizing Neural Architecture and Weights CVPR 2022 Learning To Memorize Feature Hallucination for One-Shot Image Generation CVPR 2022 Learning To Retrieve Prompts for In-Context Learning NAACL 2022 Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs NeurIPS 2022 Learning with Limited Text Data ACL 2022 LEVEN: A Large-Scale Chinese Legal Event Detection Dataset ACL 2022 Leveraging Non-dialogue Summaries for Dialogue Summarization COLING 2022 Leveraging QA Datasets to Improve Generative Data Augmentation EMNLP 2022 LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 ICLR 2022 LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging COLING 2022 LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners NAACL 2022 LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems AAAI 2022 LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework NAACL 2022 Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification IJCAI 2022 Long-Tail Recognition via Compositional Knowledge Transfer CVPR 2022 Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator CVPR 2022 Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic N-Gram Rule Generation for Spelling Normalization in Filipino EMNLP 2022