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

Aligning Step-by-Step Instructional Diagrams to Video Demonstrations CVPR 2023

Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards CVPR 2023

ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy NIPS 2023

A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) NIPS 2023

Understanding Contrastive Learning via Distributionally Robust Optimization NIPS 2023

Feature Selection in the Contrastive Analysis Setting NIPS 2023

Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification NIPS 2023

MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data NIPS 2023

Geodesic Multi-Modal Mixup for Robust Fine-Tuning NIPS 2023

Contrastive Sampling Chains in Diffusion Models NIPS 2023

Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer NIPS 2023

Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL NIPS 2023

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NIPS 2023

$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NIPS 2023

Aligning Language Models with Human Preferences via a Bayesian Approach NIPS 2023

Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning NIPS 2023

Direct Preference-based Policy Optimization without Reward Modeling NIPS 2023

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching NIPS 2023

Cross-modal Active Complementary Learning with Self-refining Correspondence NIPS 2023

Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time NIPS 2023

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion NIPS 2023

MAViL: Masked Audio-Video Learners NIPS 2023

Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning NIPS 2023

AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking NIPS 2023

Three Towers: Flexible Contrastive Learning with Pretrained Image Models NIPS 2023