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

Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path EMNLP 2023

CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention AAAI 2023

Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning AAAI 2023

Video-Text Pre-training with Learned Regions for Retrieval AAAI 2023

CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets AAAI 2023

GLCC: A General Framework for Graph-Level Clustering AAAI 2023

Learning with Partial Labels from Semi-supervised Perspective AAAI 2023

Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning AAAI 2023

ContraBAR: Contrastive Bayes-Adaptive Deep RL ICML 2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning ICML 2023

Behavior Contrastive Learning for Unsupervised Skill Discovery ICML 2023

Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization AAAI 2023

FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning AAAI 2023

Contrastive Multi-Task Dense Prediction AAAI 2023

Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning AAAI 2023

Scaling Law for Recommendation Models: Towards General-Purpose User Representations AAAI 2023

I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs AAAI 2023

Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework AAAI 2023

Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels AAAI 2023

“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion AAAI 2023

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023

RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training EMNLP 2023

Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms EMNLP 2023

Improving Contrastive Learning of Sentence Embeddings with Focal InfoNCE EMNLP 2023

Self-supervised Graph Disentangled Networks for Review-based Recommendation IJCAI 2023