few-shot learning

PromptShots at the FinNLP-2022 ERAI Task: Pairwise Comparison and Unsupervised Ranking EMNLP 2022 PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts ACL 2022 Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples CVPR 2022 ProQA: Structural Prompt-based Pre-training for Unified Question Answering NAACL 2022 Prototypical Verbalizer for Prompt-based Few-shot Tuning ACL 2022 Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection NeurIPS 2022 Provable Generalization of Overparameterized Meta-learning Trained with SGD NeurIPS 2022 PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization COLING 2022 Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference CVPR 2022 Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL 2022 Question Answering Infused Pre-training of General-Purpose Contextualized Representations ACL 2022 Rapid Model Architecture Adaption for Meta-Learning NeurIPS 2022 Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition EMNLP 2022 Reframing Human-AI Collaboration for Generating Free-Text Explanations NAACL 2022 Reframing Instructional Prompts to GPTk’s Language ACL 2022 Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation IJCAI 2022 Rethinking Generalization in Few-Shot Classification NeurIPS 2022 Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning COLING 2022 Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022 Rethinking Video Anomaly Detection - A Continual Learning Approach WACV 2022 Retrieval-Augmented Generative Question Answering for Event Argument Extraction EMNLP 2022 Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning CVPR 2022 Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models COLING 2022 RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning NAACL 2022 RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022