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One-Shot Learning

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One-shot learning is the task of learning information about object categories from a single training example.

<span style="color:grey; opacity: 0.6">( Image credit: Siamese Neural Networks for One-shot Image Recognition )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/cooelf/OneshotQA

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One-shot Learning for Question-Answering in Gaokao History Challenge

https://github.com/czq142857/BAE-NET

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BAE-NET: Branched Autoencoder for Shape Co-Segmentation

https://github.com/deepmind/lab/tree/master/game_scripts/levels/contributed/fast_mapping

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Grounded Language Learning Fast and Slow

https://github.com/devavrattomar/sst

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Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation

https://github.com/fatemehazimi990/RS2S

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Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory

https://github.com/fatemehtd/Echo-SyncNet

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Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography

https://github.com/faziletgokbudak/One-shot-Photo-Retouching

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One-shot Detail Retouching with Patch Space Neural Transformation Blending

https://github.com/gaoxiangluo/llm-biomed-ner-er

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An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing

https://github.com/ghazalmilani/one-shot-learning-from-text-iclp2023

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Towards One-Shot Learning for Text Classification using Inductive Logic Programming

https://github.com/gidariss/FewShotWithoutForgetting

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Dynamic Few-Shot Visual Learning without Forgetting

https://github.com/heqin-zhu/uod_universal_oneshot_detection

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UOD: Universal One-shot Detection of Anatomical Landmarks

https://github.com/hiwonjoon/ICRA2019-Activity-Localize

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One-Shot Learning of Multi-Step Tasks from Observation via Activity Localization in Auxiliary Video

https://github.com/hosodakazufumi/tfdone

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It's DONE: Direct ONE-shot learning with quantile weight imprinting

https://github.com/huawei-noah/Pretrained-Language-Model

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AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models

https://github.com/hubbs-lab-tamu/couple-stress-detection

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A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationships

https://github.com/igitugraz/memorydependentcomputation

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Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity

https://github.com/ilia10000/SLkNN

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'Less Than One'-Shot Learning: Learning N Classes From M<N Samples

https://github.com/jakesnell/prototypical-networks

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Prototypical Networks for Few-shot Learning

https://github.com/jianhuapei/ldm-enabled-semcom-system

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Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel Noises

https://github.com/juliuswang-7/encoderreg

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Encoding Matching Criteria for Cross-domain Deformable Image Registration

https://github.com/kelichiu/GPT3-hate-speech-detection

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Detecting Hate Speech with GPT-3

https://github.com/kexin-kxzhang/optfusion

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Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models

https://github.com/lzzcd001/OSLSM

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One-Shot Learning for Semantic Segmentation

https://github.com/markpwoodward/active_osl

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Active One-shot Learning

https://github.com/mayug/basetransformers

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BaseTransformers: Attention over base data-points for One Shot Learning

https://github.com/mgkumar138/Oneshot_Reservoir

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One-shot learning of paired association navigation with biologically plausible schemas

https://github.com/mgkumar138/schema4one

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One-shot learning of paired association navigation with biologically plausible schemas

https://github.com/mibastro/VPE

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Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images

https://github.com/nicolas-lair/AidMe

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User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant

https://github.com/nmi-lab/snn_maml

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Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing

https://github.com/odegeasslbc/FastGAN-pytorch

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Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image Recognition

https://github.com/oshapio/Efficient-Cross-Validation-of-Echo-State-Networks

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Efficient Cross-Validation of Echo State Networks

https://github.com/pl97/fednlp

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An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing

https://github.com/pldlgb/nuggets

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One-Shot Learning as Instruction Data Prospector for Large Language Models

https://github.com/qdo1010/SRPM_GPM

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A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning

https://github.com/qgao21/corediff

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CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization

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