Few-Shot Learning

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NeurIPS 2024 TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series ICLR 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models ACL 2024 Think Twice: Perspective-Taking Improves Large Language Models’ Theory-of-Mind Capabilities ACL 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NeurIPS 2024 Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NeurIPS 2024 TISE: A Tripartite In-context Selection Method for Event Argument Extraction NAACL 2024 Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts CVPR 2024 Towards Demonstration-Aware Large Language Models for Machine Translation ACL 2024 TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks NeurIPS 2024 Transductive Zero-Shot and Few-Shot CLIP CVPR 2024 Understanding Inverse Scaling and Emergence in Multitask Representation Learning AISTATS 2024 UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning AAAI 2024 UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner NeurIPS 2024 Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding CVPR 2024 Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NeurIPS 2024 Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors CVPR 2024 Using Natural Language Explanations to Improve Robustness of In-context Learning ACL 2024 Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection AAAI 2024 ViGLUE: A Vietnamese General Language Understanding Benchmark and Analysis of Vietnamese Language Models NAACL 2024 Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting AAAI 2024 Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach CVPR 2024 VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions NeurIPS 2024 VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization AAAI 2024