SOTAVerified

Few-Shot Learning

Few-Shot Learning is an example of meta-learning, where a learner is trained on several related tasks, during the meta-training phase, so that it can generalize well to unseen (but related) tasks with just few examples, during the meta-testing phase. An effective approach to the Few-Shot Learning problem is to learn a common representation for various tasks and train task specific classifiers on top of this representation.

Source: Penalty Method for Inversion-Free Deep Bilevel Optimization

Papers

Showing 651700 of 2964 papers

TitleStatusHype
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks0
Better (pseudo-)labels for semi-supervised instance segmentation0
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding0
On the low-shot transferability of [V]-Mamba0
Investigating grammatical abstraction in language models using few-shot learning of novel noun gender0
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic TasksCode1
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning0
Search-based Optimisation of LLM Learning Shots for Story Point Estimation0
Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches0
Agile gesture recognition for low-power applications: customisation for generalisation0
Boosting keyword spotting through on-device learnable user speech characteristicsCode0
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy0
Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning0
Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings0
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects0
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning0
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical NotesCode1
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot LearningCode1
TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learning0
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning0
Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion0
Japanese-English Sentence Translation Exercises Dataset for Automatic Grading0
Boosting Meta-Training with Base Class Information for Few-Shot Learning0
Designing Informative Metrics for Few-Shot Example Selection0
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and ApplicationsCode2
On Transfer in Classification: How Well do Subsets of Classes Generalize?0
Few-shot Learner Parameterization by Diffusion Time-stepsCode1
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning0
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers0
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?0
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models0
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot LearningCode1
Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models0
Transformers for Supervised Online Continual Learning0
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language ModelsCode0
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot LearningCode1
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds0
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time AugmentationCode0
Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning0
Meta-Tasks: An alternative view on Meta-Learning Regularization0
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation0
Generative Pretrained Hierarchical Transformer for Time Series ForecastingCode1
Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification0
Parameter-efficient Prompt Learning for 3D Point Cloud UnderstandingCode1
Dental Severity Assessment through Few-shot Learning and SBERT Fine-tuning0
SportQA: A Benchmark for Sports Understanding in Large Language ModelsCode1
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning0
Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction0
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1gpt-4-0125-previewAccuracy61.91Unverified
2gpt-4-0125-previewAccuracy52.49Unverified
3gpt-3.5-turboAccuracy41.48Unverified
4gpt-3.5-turboAccuracy37.06Unverified
5johnsnowlabs/JSL-MedMNX-7BAccuracy25.63Unverified
6yikuan8/Clinical-LongformerAccuracy25.55Unverified
7BioMistral/BioMistral-7B-DAREAccuracy25.06Unverified
8yikuan8/Clinical-LongformerAccuracy25.04Unverified
9PharMolix/BioMedGPT-LM-7BAccuracy24.92Unverified
10PharMolix/BioMedGPT-LM-7BAccuracy24.75Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean67.27Unverified
2SaSPA + CAL4-shot Accuracy48.3Unverified
3Real-Guidance + CAL4-shot Accuracy41.5Unverified
4CAL4-shot Accuracy40.9Unverified
#ModelMetricClaimedVerifiedStatus
1SaSPA + CALHarmonic mean52.2Unverified
2CALHarmonic mean35.2Unverified
3Variational Prompt TuningHarmonic mean34.69Unverified
4Real-Guidance + CALHarmonic mean34.5Unverified
#ModelMetricClaimedVerifiedStatus
1BGNNAccuracy92.7Unverified
2TIM-GDAccuracy87.4Unverified
3UNEM-GaussianAccuracy66.4Unverified
#ModelMetricClaimedVerifiedStatus
1EASY (transductive)Accuracy82.75Unverified
2HCTransformers5 way 1~2 shot74.74Unverified
3HyperShotAccuracy53.18Unverified
#ModelMetricClaimedVerifiedStatus
1SaSPA + CAL4-shot Accuracy66.7Unverified
2Real-Guidance + CAL4-shot Accuracy44.3Unverified
3CAL4-shot Accuracy42.2Unverified
#ModelMetricClaimedVerifiedStatus
1HCTransformersAcc74.74Unverified
2DPGNAcc67.6Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAG (zero-shot)Accuracy77.9Unverified
2CoT-T5-11B (1024 Shot)Accuracy73.42Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean96.44Unverified
#ModelMetricClaimedVerifiedStatus
1CoT-T5-11B (1024 Shot)Accuracy68.3Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean77.71Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean81.12Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean91.57Unverified
#ModelMetricClaimedVerifiedStatus
1CovidExpertAUC-ROC1Unverified
#ModelMetricClaimedVerifiedStatus
1CoT-T5-11B (1024 Shot)Accuracy78.02Unverified
#ModelMetricClaimedVerifiedStatus
1UNEM-GaussianAccuracy65.7Unverified
#ModelMetricClaimedVerifiedStatus
1UNEM-GaussianAccuracy73.2Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean96.82Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean73.07Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean78.51Unverified
#ModelMetricClaimedVerifiedStatus
1UNEM-GaussianAccuracy52.3Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean79Unverified