conftrace_

contrastive loss

114 papers

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Co-occurring keywords

contrastive learning (4032) representation learning (6206) multimodal learning (4645) self-supervised learning (3777) metric learning (1190) large language model (13587) image retrieval (600) image classification (1944) unsupervised learning (3264) data augmentation (3052)

Papers

Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention EACL 2023
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks WACV 2023
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization WACV 2023
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding IJCAI 2023
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation ICCV 2023
Video Anomaly Detection via Sequentially Learning Multiple Pretext Tasks ICCV 2023
Frequency Guidance Matters in Few-Shot Learning ICCV 2023
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models ICCV 2023
PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models AAAI 2023
Joint Generator-Ranker Learning for Natural Language Generation ACL 2023
Too much of product information : Don’t worry, let’s look for evidence! EMNLP 2023
Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization CVPR 2023
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning NIPS 2023
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning NIPS 2023
Domain Decorrelation with Potential Energy Ranking AAAI 2023
MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations ACL 2023
Generative Spoken Language Model based on continuous word-sized audio tokens EMNLP 2023
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization CVPR 2022
On the Surrogate Gap between Contrastive and Supervised Losses ICML 2022
An Optimal Transport Approach to Deep Metric Learning (Student Abstract) AAAI 2022
A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space EMNLP 2022
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework ICML 2022
Unsupervised Robust Domain Adaptation Without Source Data WACV 2022
Smooth-Swap: A Simple Enhancement for Face-Swapping With Smoothness CVPR 2022
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts NIPS 2022