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 2851–2875 of 2964 papers

Title	Date	Tasks	Status
Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?	May 8, 2021	Dialogue State TrackingFew-Shot Learning	CodeCode Available
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach	Feb 5, 2022	Few-Shot Learning	CodeCode Available
Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation	Mar 22, 2024	Few-Shot LearningIn-Context Learning	CodeCode Available
Few-Shot Image Recognition by Predicting Parameters from Activations	Jun 12, 2017	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation	May 26, 2023	Abstract Meaning RepresentationData Augmentation	CodeCode Available
Parallel Corpus for Indigenous Language Translation: Spanish-Mazatec and Spanish-Mixtec	May 27, 2023	Few-Shot LearningMachine Translation	CodeCode Available
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment	May 2, 2023	Cross-Lingual TransferFew-Shot Learning	CodeCode Available
Few-shot human motion prediction for heterogeneous sensors	Dec 22, 2022	Few-Shot LearningHuman motion prediction	CodeCode Available
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning	Jun 29, 2021	Contrastive LearningFew-Shot Learning	CodeCode Available
Sequential Skip Prediction with Few-shot in Streamed Music Contents	Jan 24, 2019	Few-Shot LearningMeta-Learning	CodeCode Available
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?	Dec 1, 2021	Few-Shot LearningOpen-Ended Question Answering	CodeCode Available
PARN: Position-Aware Relation Networks for Few-Shot Learning	Sep 10, 2019	Few-Shot LearningPosition	CodeCode Available
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification	Nov 28, 2022	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces	Aug 31, 2023	Few-Shot LearningMedical Image Analysis	CodeCode Available
Compositional Generalization for Primitive Substitutions	Oct 7, 2019	Few-Shot LearningMachine Translation	CodeCode Available
Compositional Clustering: Applications to Multi-Label Object Recognition and Speaker Identification	Sep 9, 2021	ClusteringFew-Shot Learning	CodeCode Available
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data	Oct 28, 2019	ClassificationFew-Shot Learning	CodeCode Available
Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination	Jul 12, 2019	Few-Shot Learning	CodeCode Available
Patent Figure Classification using Large Vision-language Models	Jan 22, 2025	ClassificationFew-Shot Learning	CodeCode Available
Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features	Aug 11, 2023	Continual LearningEmotion Recognition	CodeCode Available
PCBERT: Parent and Child BERT for Chinese Few-shot NER	Oct 1, 2022	Few-Shot Learningfew-shot-ner	CodeCode Available
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras	Aug 13, 2020	ClusteringFew-Shot Learning	CodeCode Available
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings	Oct 30, 2022	Few-Shot LearningMeta-Learning	CodeCode Available
AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking	May 3, 2023	Few-Shot LearningQuestion Answering	CodeCode Available
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning	Oct 4, 2023	Few-Shot LearningMeta-Learning	CodeCode Available

Show:10 25 50

← PrevPage 115 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