← Learning Types
Machine Learning › Learning Types ›

Zero-Shot Learning

3043 directly classified papers

Papers per year

Papers

Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing NAACL 2025
RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather ICCV 2025
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation ICCV 2025
Segment Anything Meets Point Tracking WACV 2025
Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition WACV 2025
Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation WACV 2025
Towards Zero-Shot 3D Anomaly Localization WACV 2025
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models WACV 2025
Mind the Prompt: A Novel Benchmark for Prompt-Based Class-Agnostic Counting WACV 2025
Image-Caption Encoding for Improving Zero-Shot Generalization WACV 2025
Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval CVPR 2025
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching AAAI 2025
Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages ACL 2025
Zero-Shot Conversational Stance Detection: Dataset and Approaches ACL 2025
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes NAACL 2025
FIRE: Fact-checking with Iterative Retrieval and Verification NAACL 2025
StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis with Distilled Time-Varying Style Diffusion NAACL 2025
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts WACV 2025
PC-GZSL: Prior Correction for Generalized Zero Shot Learning WACV 2025
Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025
CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection WACV 2025
Prompting the Past: Exploring Zero-Shot Learning for Named Entity Recognition in Historical Texts Using Prompt-Answering LLMs NAACL 2025
ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage WACV 2025
ZFusion: Efficient Deep Compositional Zero-shot Learning for Blind Image Super-Resolution with Generative Diffusion Prior ICCV 2025
SKI Models: Skeleton Induced Vision-Language Embeddings for Understanding Activities of Daily Living AAAI 2025