pliang279 / FactorCLLinks
[NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
☆69Updated last year
Alternatives and similar repositories for FactorCL
Users that are interested in FactorCL are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions☆74Updated 7 months ago
- Official Implementation of "Geometric Multimodal Contrastive Representation Learning" (https://arxiv.org/abs/2202.03390)☆28Updated 5 months ago
- Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks☆28Updated 3 years ago
- [TMLR 2022] High-Modality Multimodal Transformer☆115Updated 7 months ago
- Code for the paper Visual Explanations of Image–Text Representations via Multi-Modal Information Bottleneck Attribution☆52Updated last year
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆45Updated last year
- [ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models☆96Updated 10 months ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆83Updated 3 years ago
- Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR'23)☆18Updated 2 years ago
- ☆64Updated 2 years ago
- ☆22Updated 3 years ago
- ☆27Updated 3 years ago
- Implementation of FuseMoE for FlexiModal Fusion, NeurIPS'24☆22Updated 2 months ago
- Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation☆103Updated 4 months ago
- Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"☆34Updated 9 months ago
- ☆36Updated 4 years ago
- LISA for ICML 2022☆49Updated 2 years ago
- This is the official code for NeurIPS 2023 paper "Learning Unseen Modality Interaction"☆17Updated last year
- [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"☆53Updated 2 weeks ago
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning☆158Updated 2 years ago
- ☆35Updated last year
- Official Pytorch implementation of "Improved Probabilistic Image-Text Representations" (ICLR 2024)☆57Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated last year
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆47Updated 5 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆78Updated last year
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆51Updated 3 years ago
- This is the official code for the paper "Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaborati…☆11Updated 10 months ago
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆91Updated last year
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆114Updated last year
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago