Few-Shot Learning

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022 Search and Learn: Improving Semantic Coverage for Data-to-Text Generation AAAI 2022 Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition NeurIPS 2022 Semantic Cross Attention for Few-shot Learning ACML 2022 Simple Questions Generate Named Entity Recognition Datasets EMNLP 2022 Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning NeurIPS 2022 SMASH: Improving SMAll Language Models’ Few-SHot Ability with Prompt-Based Distillation EMNLP 2022 Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance EMNLP 2022 SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition EMNLP 2022 Switch-GPT: An Effective Method for Constrained Text Generation under Few-Shot Settings (Student Abstract) AAAI 2022 Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection CVPR 2022 TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition AAAI 2022 Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference NeurIPS 2022 Towards Unified Prompt Tuning for Few-shot Text Classification EMNLP 2022 Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation EMNLP 2022 WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation EMNLP 2022 Weak-shot Semantic Segmentation via Dual Similarity Transfer NeurIPS 2022 What Makes Data-to-Text Generation Hard for Pretrained Language Models? EMNLP 2022 Which Images To Label for Few-Shot Medical Landmark Detection? CVPR 2022 Zero- and Few-Shot NLP with Pretrained Language Models ACL 2022 Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021 Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective AAAI 2021 AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples EMNLP 2021 An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling EMNLP 2021 Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots EMNLP 2021