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 101150 of 2964 papers

TitleStatusHype
SpectrumFM: A Foundation Model for Intelligent Spectrum ManagementCode1
KAN or MLP? Point Cloud Shows the Way ForwardCode1
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
Bridging Molecular Graphs and Large Language ModelsCode1
Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosisCode1
Code Summarization Beyond Function LevelCode1
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic DataCode1
Holistic Semantic Representation for Navigational Trajectory GenerationCode1
Generalization-Enhanced Few-Shot Object Detection in Remote SensingCode1
ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot LearningCode1
EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIsCode1
Neural Conformal Control for Time Series ForecastingCode1
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic SegmentationCode1
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-ContextCode1
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIPCode1
DiffCLIP: Few-shot Language-driven Multimodal ClassifierCode1
KNN-MMD: Cross Domain Wireless Sensing via Local Distribution AlignmentCode1
Expanding Event Modality Applications through a Robust CLIP-Based EncoderCode1
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image ClassificationCode1
Exploring Foundation Models Fine-Tuning for Cytology ClassificationCode1
Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot LearningCode1
Emoji Attack: A Method for Misleading Judge LLMs in Safety Risk DetectionCode1
FewVS: A Vision-Semantics Integration Framework for Few-Shot Image ClassificationCode1
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language ModelsCode1
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language ModelsCode1
QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm DesignCode1
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model PromptingCode1
Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many ClassesCode1
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationCode1
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language ModelsCode1
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese NetworkCode1
V-RoAst: Visual Road Assessment. Can VLM be a Road Safety Assessor Using the iRAP Standard?Code1
Cost-effective Instruction Learning for Pathology Vision and Language AnalysisCode1
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud UnderstandingCode1
Cross-Modal Augmentation for Few-Shot Multimodal Fake News DetectionCode1
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive EvaluationCode1
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLMCode1
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and SynthesisCode1
Retrieval-style In-Context Learning for Few-shot Hierarchical Text ClassificationCode1
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context LearningCode1
Advancing Fine-Grained Classification by Structure and Subject Preserving AugmentationCode1
Few-Shot Recognition via Stage-Wise Retrieval-Augmented FinetuningCode1
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-TrainingCode1
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint GenerationCode1
FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flamesCode1
LinkGPT: Teaching Large Language Models To Predict Missing LinksCode1
animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacousticsCode1
THREAD: Thinking Deeper with Recursive SpawningCode1
Compressing Lengthy Context With UltraGistCode1
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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