pliang279 / MultiVizLinks
[ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models
☆98Updated last year
Alternatives and similar repositories for MultiViz
Users that are interested in MultiViz are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions☆79Updated 11 months ago
- [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy☆72Updated last year
- [TMLR 2022] High-Modality Multimodal Transformer☆117Updated 11 months ago
- Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks☆30Updated 3 years ago
- Official Implementation of "Geometric Multimodal Contrastive Representation Learning" (https://arxiv.org/abs/2202.03390)☆28Updated 9 months ago
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning☆161Updated 3 years ago
- This repository provides a comprehensive collection of research papers focused on multimodal representation learning, all of which have b…☆81Updated 3 months ago
- Visual Language Transformer Interpreter - An interactive visualization tool for interpreting vision-language transformers☆97Updated 2 years ago
- [T-PAMI] A curated list of self-supervised multimodal learning resources.☆263Updated last year
- Symile is a flexible, architecture-agnostic contrastive loss that enables training modality-specific representations for any number of mo…☆38Updated 6 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆84Updated last year
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 3 years ago
- ☆253Updated 4 years ago
- A curated list of vision-and-language pre-training (VLP). :-)☆59Updated 3 years ago
- This is the official implementation of the paper "MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision…☆31Updated last year
- Holistic evaluation of multimodal foundation models☆48Updated last year
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆113Updated last year
- ☆120Updated 2 years ago
- Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"☆34Updated last year
- Implementation for the paper "Reliable Visual Question Answering Abstain Rather Than Answer Incorrectly" (ECCV 2022: https//arxiv.org/abs…☆36Updated 2 years ago
- Code Example for Learning Multimodal Data Augmentation in Feature Space☆43Updated 2 years ago
- ☆162Updated 3 months ago
- Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning☆26Updated last year
- [ICCV 2023] ViLLA: Fine-grained vision-language representation learning from real-world data☆45Updated last year
- Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022☆75Updated 3 years ago
- NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks, CVPR 2022 (Oral)☆48Updated last year
- PyTorch implementation of LIMoE☆52Updated last year
- Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation☆103Updated 7 months ago
- I2M2: Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning (NeurIPS 2024)☆22Updated 11 months ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆61Updated 2 weeks ago