imantdaunhawer / multimodal-contrastive-learning
[ICLR 2023] Official code for the paper "Identifiability Results for Multimodal Contrastive Learning"
☆31Updated last year
Related projects ⓘ
Alternatives and complementary repositories for multimodal-contrastive-learning
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆39Updated last year
- Weakly Supervised Contrastive Learning☆40Updated 3 years ago
- Pytorch implementation of our CVPR 23' paper DivClust: Controlling Diversity in Deep Clustering.☆27Updated last year
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆14Updated 11 months ago
- ☆58Updated this week
- Code release for ICLR 2021 paper "Generalised Multimodal ELBO"☆35Updated 2 years ago
- Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022☆20Updated last year
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆72Updated 3 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆36Updated last year
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆43Updated 2 years ago
- ☆31Updated 6 months ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆37Updated last year
- [NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions☆64Updated 3 weeks ago
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆54Updated last year
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆44Updated last year
- ☆13Updated last year
- [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy☆61Updated last year
- Official Implementation of "Geometric Multimodal Contrastive Representation Learning" (https://arxiv.org/abs/2202.03390)☆27Updated 2 years ago
- Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering☆44Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆81Updated 7 months ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆36Updated 10 months ago
- Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"☆20Updated 5 months ago
- ☆14Updated 2 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆25Updated 3 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆30Updated 2 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆57Updated last year
- Time series explainability via self-supervised model behavior consistency☆38Updated last year
- Instance-Dependent Partial Label Learning(NIPS'21);Variational Label Enhancement for Instance-Dependent Partial Label Learning(TPAMI)☆25Updated 2 months ago
- Contrastive Learning for Domain Adaptation of Time Series☆81Updated 7 months ago
- SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)☆29Updated 2 months ago