Few-Shot Learning

Observational Scaling Laws and the Predictability of Langauge Model Performance NeurIPS 2024 Offensiveness, Hate, Emotion and GPT: Benchmarking GPT3.5 and GPT4 as Classifiers on Twitter-specific Datasets COLING 2024 OHTA: One-shot Hand Avatar via Data-driven Implicit Priors CVPR 2024 One Meta-tuned Transformer is What You Need for Few-shot Learning ICML 2024 OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting EMNLP 2024 One-Shot Open Affordance Learning with Foundation Models CVPR 2024 One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention ICLR 2024 One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NeurIPS 2024 On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024 On the Complexity of Teaching a Family of Linear Behavior Cloning Learners NeurIPS 2024 On-the-fly Definition Augmentation of LLMs for Biomedical NER NAACL 2024 On the In-context Generation of Language Models EMNLP 2024 On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization NAACL 2024 OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation EMNLP 2024 Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach EMNLP 2024 Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach EMNLP 2024 Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition ACL 2024 Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese ACL 2024 OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning ICLR 2024 PALM: Few-Shot Prompt Learning for Audio Language Models EMNLP 2024 Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models UAI 2024 PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification COLING 2024 PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization NAACL 2024 Personalized LoRA for Human-Centered Text Understanding AAAI 2024 Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NeurIPS 2024