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

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Showing 1676–1700 of 2964 papers

Title	Date	Tasks	Status
Sentence Simplification via Large Language Models	Feb 23, 2023	Few-Shot LearningSentence	CodeCode Available
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention	Feb 21, 2023	Contrastive LearningFew-Shot Learning	—Unverified
KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting	Feb 21, 2023	Entity RetrievalFew-Shot Learning	—Unverified
Mask-guided BERT for Few Shot Text Classification	Feb 21, 2023	ClassificationContrastive Learning	—Unverified
Meta-World Conditional Neural Processes	Feb 20, 2023	Few-Shot LearningHallucination	—Unverified
Few-shot Multimodal Multitask Multilingual Learning	Feb 19, 2023	Few-Shot LearningIn-Context Learning	—Unverified
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition	Feb 19, 2023	Few-Shot Learning	—Unverified
Neural Attention Memory	Feb 18, 2023	Few-Shot LearningZero-shot Generalization	—Unverified
An Adaptive Plug-and-Play Network for Few-Shot Learning	Feb 18, 2023	Few-Shot Learning	—Unverified
Scalable Prompt Generation for Semi-supervised Learning with Language Models	Feb 18, 2023	Few-Shot LearningNatural Language Understanding	—Unverified
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving	Feb 17, 2023	Autonomous DrivingFew-Shot Learning	—Unverified
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19	Feb 17, 2023	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified
Conversation Style Transfer using Few-Shot Learning	Feb 16, 2023	Few-Shot LearningIn-Context Learning	—Unverified
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?	Feb 16, 2023	Few-Shot LearningLanguage Modeling	—Unverified
Few-shot learning approaches for classifying low resource domain specific software requirements	Feb 14, 2023	Few-Shot Learning	—Unverified
Distillation of encoder-decoder transformers for sequence labelling	Feb 10, 2023	DecoderFew-Shot Learning	—Unverified
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning	Feb 9, 2023	Few-Shot LearningImage Captioning	—Unverified
Gestalt-Guided Image Understanding for Few-Shot Learning	Feb 8, 2023	Few-Shot Learning	CodeCode Available
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models	Feb 8, 2023	BenchmarkingFew-Shot Learning	—Unverified
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios	Feb 8, 2023	Few-Shot LearningZero-Shot Learning	—Unverified
AutoWS: Automated Weak Supervision Framework for Text Classification	Feb 7, 2023	Active LearningClassification	—Unverified
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs	Feb 7, 2023	Few-Shot Learning	CodeCode Available
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction	Feb 4, 2023	Few-Shot LearningMolecular Docking	CodeCode Available
The unreasonable effectiveness of few-shot learning for machine translation	Feb 2, 2023	DecoderFew-Shot Learning	—Unverified
Differentiable Entailment for Parameter Efficient Few Shot Learning	Jan 31, 2023	Few-Shot Learning	—Unverified

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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