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

Connecting Multi-modal Contrastive Representations NIPS 2023

Identifiable Contrastive Learning with Automatic Feature Importance Discovery NIPS 2023

SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models NIPS 2023

Self-supervised video pretraining yields robust and more human-aligned visual representations NIPS 2023

Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation NIPS 2023

Language-based Action Concept Spaces Improve Video Self-Supervised Learning NIPS 2023

Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser NIPS 2023

Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation NIPS 2023

MIM4DD: Mutual Information Maximization for Dataset Distillation NIPS 2023

Towards robust and generalizable representations of extracellular data using contrastive learning NIPS 2023

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning NIPS 2023

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction NIPS 2023

CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion NIPS 2023

Weakly-Supervised Audio-Visual Segmentation NIPS 2023

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations NIPS 2023

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners NIPS 2023

Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning NIPS 2023

Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning NIPS 2023

A Massive Scale Semantic Similarity Dataset of Historical English NIPS 2023

ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations MIDL 2023

Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction MIDL 2023

FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays MIDL 2023

Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime MIDL 2023

DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification MIDL 2023

MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning MIDL 2023