few-shot learning

A Streamlined Span-based Factorization Method for Few Shot Named Entity Recognition COLING 2024 A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation NeurIPS 2024 A Survey on In-context Learning EMNLP 2024 Atom-Level Optical Chemical Structure Recognition with Limited Supervision CVPR 2024 A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation IJCAI 2024 Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning NeurIPS 2024 AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning ICLR 2024 Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities ICML 2024 Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering EMNLP 2024 AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection ACL 2024 Automatic Classification of News Subjects in Broadcast News: Application to a Gender Bias Representation Analysis Interspeech 2024 Automatic Identification of COVID-19-Related Conspiracy Narratives in German Telegram Channels and Chats COLING 2024 Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models NeurIPS 2024 AutoMix: Automatically Mixing Language Models NeurIPS 2024 Autonomous Aspect-Image Instruction a2II: Q-Former Guided Multimodal Sentiment Classification COLING 2024 A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis EACL 2024 AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation NeurIPS 2024 A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks COLING 2024 Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features CVPR 2024 Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities EMNLP 2024 Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024 BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction ICLR 2024 BECLR: Batch Enhanced Contrastive Few-Shot Learning ICLR 2024 Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NeurIPS 2024 BERTbek: A Pretrained Language Model for Uzbek COLING 2024