Zero-Shot Learning

33개 벤치마크 · 논문 1,940편 · 이 태스크의 논문 보기 →

Benchmarks

Most implemented

Learning Transferable Visual Models From Natural Language Supervision

2021-02-26 · 구현 82개

Language Models are Few-Shot Learners

2020-05-28 · 구현 67개

LLaMA: Open and Efficient Foundation Language Models

2023-02-27 · 구현 57개

Prototypical Networks for Few-shot Learning

2017-03-15 · 구현 43개

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

2019-01-25 · 구현 19개

Learning to Compare: Relation Network for Few-Shot Learning

2017-11-16 · 구현 13개

Papers

Improving Cross-Lingual Token Representations by Adding a Pinch of SALT

2026-09-09 · Guillem Ramírez arxiv

Cross-lingual sentence encoders enable scalable transfer across hundreds of languages, powering applications such as translation mining and zero-shot learning in low-resource settings. Although trained for sentence-level…

Zero-Shot Learning

CAST: Closed-form Analytic Semantic Transfer for Zero-Shot Classifier Extension

2026-08-13 · William Heyden, Habib Ullah, Muhammad Salman Siddiqui, Fadi Al Machot arxiv

Large pre-trained models have become foundational components of modern machine learning systems. Yet adapting these models to novel categories typically requires examples from the target distribution. In many domains, ho…

Zero-Shot Learning

Prototype Adaptation for Zero-Shot sEMG Movement Classification

2026-07-28 · Rui Liu, Benjamin Paassen arxiv

Surface electromyography (sEMG) enables the control of prostheses, allowing upper-limb amputees to re-gain some hand function. Most current research focuses on recognizing basic movements for prosthesis control. However,…

Zero-Shot Learning

Evaluating Vision-Language Models as a Zero-Shot Learning Alternative to You Only Look Once and Optical Character Recognition for Nigerian License Plate Recognition

2026-07-02 · Ismail Ismail Tijjani, Ahmad Abubakar Mustapaha, Sunusi Ibrahim Muhammad, Muhammad Bashir Aliyu arxiv

License Plate Recognition (LPR) systems are critical tools in traffic monitoring, security enforcement, and urban mobility management. Traditional LPR systems often rely on a multi-stage pipeline involving object detecti…

License Plate Recognition Zero-Shot Learning Object Detection

CV-DCLR: Causal-Visual Dynamic Label Refinement for Robust Zero-Shot Learning

2026-07-01 · Can Wang, Jiangnan Li, Mingyu Li, Yining Song 외 arxiv

Zero-Shot Learning (ZSL) facilitates knowledge transfer via shared semantic spaces. However, a critical bottleneck in this paradigm is Semantic Entanglement, where visual representations are inevitably conflated with vis…

Zero-Shot Learning

Emergent Alignment

2026-06-17 · Martin Kolář arxiv

Can Large Language Models (LLMs) discern when their own outputs are misaligned with human ethics? And can they self-correct? We endow an LLM with a conscience step that reviews its own reasoning and outputs, and we exten…

Zero-Shot Learning

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