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Contrastive Learning
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Contrastive Learning is a deep learning technique for unsupervised representation learning. The goal is to learn a representation of data such that similar instances are close together in the representation space, while dissimilar instances are far apart.
It has been shown to be effective in various computer vision and natural language processing tasks, including image retrieval, zero-shot learning, and cross-modal retrieval. In these tasks, the learned representations can be used as features for downstream tasks such as classification and clustering.
<span style="color:grey; opacity: 0.6">(Image credit: Schroff et al. 2015)</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tudelft-iv/slicematch
공식 코드SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimation
https://github.com/tufts-ml/samil
공식 코드https://github.com/tum-bgd/cvdisaster
공식 코드https://github.com/tumftm/miscalibrationdetection
공식 코드Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera Sensors
https://github.com/twke18/SPML
공식 코드Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
https://github.com/tydpan/openpartseg
공식 코드https://github.com/tyhuang0428/CLIP2Point
공식 코드CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
https://github.com/ubc-nlp/infodcl
공식 코드Contrastive Learning of Sociopragmatic Meaning in Social Media
https://github.com/ubc-tea/backdoor_multimodal_foundation_model
공식 코드Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
https://github.com/ucf-crcv/tf-covr
공식 코드From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos
https://github.com/ucsc-vlaa/mixcon3d
공식 코드Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
https://github.com/ucsc-vlaa/swinmm
공식 코드SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation
https://github.com/udel-biotm-lab/BERT-CLRE
공식 코드Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
https://github.com/uds-lsv/mcse
공식 코드MCSE: Multimodal Contrastive Learning of Sentence Embeddings
https://github.com/uestc-gqj/baner
공식 코드BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
https://github.com/uestc-gqj/tkre
공식 코드https://github.com/uestc-nnlab/wecol
공식 코드https://github.com/uhlerlab/mol2image
공식 코드Improved Conditional Flow Models for Molecule to Image Synthesis
https://github.com/uikdwnd/FENRec
공식 코드Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec
https://github.com/ujiuji1259/biocom
공식 코드https://github.com/ukcheolshin/bridgemultispectraldepth
공식 코드Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning
https://github.com/ukplab/emnlp2022-reasoning-aware-pretraining
공식 코드Arithmetic-Based Pretraining -- Improving Numeracy of Pretrained Language Models
https://github.com/ukplab/lagonn
공식 코드Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification
https://github.com/ukplab/starsem2023-arithmetic-based-pretraining
공식 코드Arithmetic-Based Pretraining -- Improving Numeracy of Pretrained Language Models
https://github.com/uncertaintyforknowledgetracing/ukt
공식 코드https://github.com/uoe-agents/sami
공식 코드Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
https://github.com/urmagicsmine/cspr
공식 코드https://github.com/user0407/CLUDA
공식 코드CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation
https://github.com/user683/SGCL
공식 코드Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
https://github.com/ustc-starteam/mec
공식 코드A Universal Framework for Compressing Embeddings in CTR Prediction
https://github.com/ustcagi/dv-fsr
공식 코드DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
https://github.com/ustchlsong/ma2cl
공식 코드MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning
https://github.com/ut-vision/simhand
공식 코드SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
https://github.com/uta-smile/TCL
공식 코드Vision-Language Pre-Training with Triple Contrastive Learning
https://github.com/utcsilab/fewmax
공식 코드Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning
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