conftrace_

contrastive learning

4032 papers

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Also known as

CL

Co-occurring keywords

representation learning (6206) self-supervised learning (3777) multimodal learning (4645) unsupervised learning (3264) graph neural network (3962) vision-language model (2348) zero-shot learning (3650) domain adaptation (4595) large language model (13587) transfer learning (5449)

Papers

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

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