few-shot learning

Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language NeurIPS 2023 HybridPrompt: Bridging Language Models and Human Priors in Prompt Tuning for Visual Question Answering AAAI 2023 Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach NeurIPS 2023 Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels NeurIPS 2023 HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction EMNLP 2023 HyperShot: Few-Shot Learning by Kernel HyperNetworks WACV 2023 ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification EACL 2023 IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions EMNLP 2023 ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories EMNLP 2023 Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks ACL 2023 impact of sample selection on in-context learning for entity extraction from scientific writing EMNLP 2023 Improving and Simplifying Template-Based Named Entity Recognition EACL 2023 Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers ACL 2023 Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data NeurIPS 2023 Improving generalization in large langue model by learning prefix subspaces EMNLP 2023 Improving neural network representations using human similarity judgments NeurIPS 2023 Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data Interspeech 2023 Improving the Generalizability of Collaborative Dialogue Analysis With Multi-Feature Embeddings EACL 2023 In-context Learning for Few-shot Multimodal Named Entity Recognition EMNLP 2023 In-Context Learning for Text Classification with Many Labels EMNLP 2023 In-context Learning of Large Language Models for Controlled Dialogue Summarization: A Holistic Benchmark and Empirical Analysis EMNLP 2023 Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning AAAI 2023 Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis CVPR 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NeurIPS 2023 Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition ACL 2023