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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 826–850 of 2964 papers

Title	Date	Tasks	Status
A Similarity Paradigm Through Textual Regularization Without Forgetting	Feb 20, 2025	Domain GeneralizationFew-Shot Learning	—Unverified
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks	Feb 19, 2025	Few-Shot LearningGraph Learning	CodeCode Available
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning	Feb 19, 2025	Few-Shot LearningLanguage Modeling	—Unverified
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery	Feb 18, 2025	Drug DiscoveryFew-Shot Learning	CodeCode Available
RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts	Feb 18, 2025	Few-Shot Learning	—Unverified
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction	Feb 18, 2025	Aspect-Based Sentiment Analysis (ABSA)Few-Shot Learning	CodeCode Available
RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars	Feb 17, 2025	Few-Shot LearningIn-Context Learning	CodeCode Available
SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image	Feb 15, 2025	Defect DetectionFeature Engineering	—Unverified
A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning	Feb 13, 2025	Few-Shot LearningFew-Shot Text Classification	—Unverified
Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models	Feb 12, 2025	Few-Shot LearningLarge Language Model	CodeCode Available
A Flag Decomposition for Hierarchical Datasets	Feb 11, 2025	ClusteringDenoising	CodeCode Available
Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement	Feb 10, 2025	Binary ClassificationDecision Making	CodeCode Available
WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch	Feb 9, 2025	Data AugmentationFew-Shot Learning	—Unverified
Transforming Multimodal Models into Action Models for Radiotherapy	Feb 6, 2025	AnatomyFew-Shot Learning	—Unverified
OmniRL: In-Context Reinforcement Learning by Large-Scale Meta-Training in Randomized Worlds	Feb 5, 2025	Few-Shot LearningImitation Learning	—Unverified
RoboGrasp: A Universal Grasping Policy for Robust Robotic Control	Feb 5, 2025	Few-Shot LearningImitation Learning	—Unverified
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework	Feb 4, 2025	Entity DisambiguationFew-Shot Learning	CodeCode Available
Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Media	Feb 4, 2025	Few-Shot Learning	—Unverified
An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification	Feb 4, 2025	Few-Shot Learning	—Unverified
Learning to Learn Weight Generation via Local Consistency Diffusion	Feb 3, 2025	Domain GeneralizationFew-Shot Learning	—Unverified
Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs	Jan 31, 2025	Few-Shot LearningIn-Context Learning	—Unverified
Memory-Efficient Fine-Tuning of Transformers via Token Selection	Jan 31, 2025	Few-Shot LearningQuestion Answering	CodeCode Available
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks	Jan 30, 2025	Brain Computer InterfaceClassification	—Unverified
Unraveling the Capabilities of Language Models in News Summarization	Jan 30, 2025	BenchmarkingFew-Shot Learning	CodeCode Available
Distilling Large Language Models for Network Active Queue Management	Jan 28, 2025	Few-Shot LearningManagement	—Unverified

Show:10 25 50

← PrevPage 34 of 119Next →

All datasets MedConceptsQA DTD FGVC-Aircraft Mini-ImageNet - 5-Shot Learning Mini-Imagenet 5-way (1-shot)Stanford Cars Mini-ImageNet - 1-Shot Learning PubMedQA Caltech101 CaseHOLD EuroSAT Flowers-102

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	gpt-4-0125-preview	Accuracy	61.91	—	Unverified
2	gpt-4-0125-preview	Accuracy	52.49	—	Unverified
3	gpt-3.5-turbo	Accuracy	41.48	—	Unverified
4	gpt-3.5-turbo	Accuracy	37.06	—	Unverified
5	johnsnowlabs/JSL-MedMNX-7B	Accuracy	25.63	—	Unverified
6	yikuan8/Clinical-Longformer	Accuracy	25.55	—	Unverified
7	BioMistral/BioMistral-7B-DARE	Accuracy	25.06	—	Unverified
8	yikuan8/Clinical-Longformer	Accuracy	25.04	—	Unverified
9	PharMolix/BioMedGPT-LM-7B	Accuracy	24.92	—	Unverified
10	PharMolix/BioMedGPT-LM-7B	Accuracy	24.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	67.27	—	Unverified
2	SaSPA + CAL	4-shot Accuracy	48.3	—	Unverified
3	Real-Guidance + CAL	4-shot Accuracy	41.5	—	Unverified
4	CAL	4-shot Accuracy	40.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SaSPA + CAL	Harmonic mean	52.2	—	Unverified
2	CAL	Harmonic mean	35.2	—	Unverified
3	Variational Prompt Tuning	Harmonic mean	34.69	—	Unverified
4	Real-Guidance + CAL	Harmonic mean	34.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BGNN	Accuracy	92.7	—	Unverified
2	TIM-GD	Accuracy	87.4	—	Unverified
3	UNEM-Gaussian	Accuracy	66.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EASY (transductive)	Accuracy	82.75	—	Unverified
2	HCTransformers	5 way 1~2 shot	74.74	—	Unverified
3	HyperShot	Accuracy	53.18	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SaSPA + CAL	4-shot Accuracy	66.7	—	Unverified
2	Real-Guidance + CAL	4-shot Accuracy	44.3	—	Unverified
3	CAL	4-shot Accuracy	42.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HCTransformers	Acc	74.74	—	Unverified
2	DPGN	Acc	67.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MetaGen Blended RAG (zero-shot)	Accuracy	77.9	—	Unverified
2	CoT-T5-11B (1024 Shot)	Accuracy	73.42	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	96.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CoT-T5-11B (1024 Shot)	Accuracy	68.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	77.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	81.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	91.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CovidExpert	AUC-ROC	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CoT-T5-11B (1024 Shot)	Accuracy	78.02	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNEM-Gaussian	Accuracy	65.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNEM-Gaussian	Accuracy	73.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	96.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	73.07	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	78.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNEM-Gaussian	Accuracy	52.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	79	—	Unverified