contrastive learning

3979 papers

Also known as

CONTRASTIVE-IDM COCLR CMS CL HINCE CPL CA CPC CLUE RINCE LCA FCL SC CACO CLR JCL ITC SCL SOFT-IC MNR CBL SOLAR SUPCON NT-XENT KCL GACL SEMCL CRS CVCL MCR DML NCCL CLKS CLIP CLAP COLAM GCL SIMCTG NCL INFONCE NCE DCL ICOL LCL CCL

Co-occurring keywords

representation learning (6174) self-supervised learning (3751) multimodal learning (4622) unsupervised learning (3255) graph neural network (3945) vision-language model (2235) zero-shot learning (3637) domain adaptation (4578) large language model (12755) transfer learning (5442)

Papers

Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation CVPR 2023

Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment CVPR 2023

CLIPPO: Image-and-Language Understanding From Pixels Only CVPR 2023

CLIPPING: Distilling CLIP-Based Models With a Student Base for Video-Language Retrieval CVPR 2023

MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset CVPR 2023

Texts as Images in Prompt Tuning for Multi-Label Image Recognition CVPR 2023

PaintSeg: Painting Pixels for Training-free Segmentation NIPS 2023

Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks NIPS 2023

AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning NIPS 2023

Adversarial Examples Are Not Real Features NIPS 2023

Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing NIPS 2023

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors NIPS 2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding NIPS 2023

Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation NIPS 2023

Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment NIPS 2023

Text-to-Image Diffusion Models are Zero Shot Classifiers NIPS 2023

Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation NIPS 2023

TopoSRL: Topology preserving self-supervised Simplicial Representation Learning NIPS 2023

ChatGPT-Powered Hierarchical Comparisons for Image Classification NIPS 2023

CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss NIPS 2023

Scaling Riemannian Diffusion Models NIPS 2023

CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders NIPS 2023

Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion NIPS 2023

Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift NIPS 2023

Improving multimodal datasets with image captioning NIPS 2023