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Unsupervised Pre-training

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보존된 평가 기록: 7

Pre-training a neural network using unsupervised (self-supervised) auxiliary tasks on unlabeled data.

코드

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

https://github.com/facebookresearch/DeeperCluster

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Unsupervised Pre-Training of Image Features on Non-Curated Data

https://github.com/facebookresearch/PointContrast

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PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

https://github.com/facebookresearch/SentAugment

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Self-training Improves Pre-training for Natural Language Understanding

https://github.com/facebookresearch/SlowFast

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A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

https://github.com/facebookresearch/deepcluster

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Unsupervised Pre-Training of Image Features on Non-Curated Data

https://github.com/fedl-repo/fedaux

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FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning

https://github.com/frost-yang-99/up-reid

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Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification

https://github.com/giakoumoglou/synco

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SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual Representations

https://github.com/gzerveas/mvts_transformer

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A Transformer-based Framework for Multivariate Time Series Representation Learning

https://github.com/hantek/zlinnet

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How far can we go without convolution: Improving fully-connected networks

https://github.com/huiguanlab/umurl

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Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding

https://github.com/hustvl/personvit

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PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-Identification

https://github.com/ifp-uiuc/an-analysis-of-unsupervised-pre-training-iclr-2015

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An Analysis of Unsupervised Pre-training in Light of Recent Advances

https://github.com/ifp-uiuc/anna

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An Analysis of Unsupervised Pre-training in Light of Recent Advances

https://github.com/isunchy/semi_supervised_3d_segmentation

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Semi-supervised 3D shape segmentation with multilevel consistency and part substitution

https://github.com/jacobswan1/SEED

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SEED: Self-supervised Distillation For Visual Representation

https://github.com/jangikim2/NMPS

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Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features

https://github.com/jind11/Deep-PICO-Detection

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Advancing PICO Element Detection in Biomedical Text via Deep Neural Networks

https://github.com/julessanchez/coarselabel

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COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets

https://github.com/juliangebele/CARLANE

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CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains

https://github.com/kepei1106/cbst

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Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation

https://github.com/kk7nc/RMDL

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RMDL: Random Multimodel Deep Learning for Classification

https://github.com/laiguokun/xlu-data

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Bridging the domain gap in cross-lingual document classification

https://github.com/leduckhai/multimed

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VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain

https://github.com/leoleoasd/mlp-based-weighting

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Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question Answering

https://github.com/lg-nlp/korwikitablequestions

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Korean-Specific Dataset for Table Question Answering

https://github.com/lifuguan/uplvp

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Unsupervised Pre-training with Language-Vision Prompts for Low-Data Instance Segmentation

https://github.com/linuxsino/arr

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From Recognition to Prediction: Leveraging Sequence Reasoning for Action Anticipation

https://github.com/linzhiqiu/continual-learning

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The CLEAR Benchmark: Continual LEArning on Real-World Imagery

https://github.com/lucidrains/tab-transformer-pytorch

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TabTransformer: Tabular Data Modeling Using Contextual Embeddings

https://github.com/ma787639046/bowdpr

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Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval

https://github.com/ma787639046/punr

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PUNR: Pre-training with User Behavior Modeling for News Recommendation

https://github.com/macrohuang1993/ESNet

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ES-Net: An Efficient Stereo Matching Network

https://github.com/marionacaros/barlow-twins-for-sem-seg

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Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR Data

https://github.com/mic-dkfz/multitalent

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MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation

https://github.com/microsoft/fnl_paper

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Initialization and Regularization of Factorized Neural Layers

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