pliang279 / FactorCLLinks
[NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
☆73Updated 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☆82Updated last year
- Official Implementation of "Geometric Multimodal Contrastive Representation Learning" (https://arxiv.org/abs/2202.03390)☆28Updated 9 months ago
- [ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models☆97Updated last year
- [TMLR 2022] High-Modality Multimodal Transformer☆117Updated 11 months ago
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆46Updated last year
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 3 years ago
- Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks☆30Updated 3 years ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆62Updated last month
- [T-PAMI] A curated list of self-supervised multimodal learning resources.☆264Updated last year
- ☆22Updated 3 years ago
- Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"☆35Updated last year
- ☆161Updated 4 months ago
- LISA for ICML 2022☆51Updated 2 years ago
- Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation☆103Updated 8 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆84Updated last year
- Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR'23)☆17Updated 2 years ago
- Weakly Supervised Contrastive Learning☆43Updated 4 years ago
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆59Updated 10 months ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning☆162Updated 3 years ago
- Implementation for the paper "Reliable Visual Question Answering Abstain Rather Than Answer Incorrectly" (ECCV 2022: https//arxiv.org/abs…☆36Updated 2 years ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆116Updated last year
- [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization☆35Updated last year
- ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation☆74Updated last year
- This is the official implementation for Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.☆31Updated 2 years ago
- ☆28Updated 4 years ago
- ☆36Updated 4 years ago
- Official PyTorch Implementation☆18Updated 2 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆37Updated last year