lapisrocks / DiscreteAdversarialDistillationLinks
[NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"
☆12Updated last year
Alternatives and similar repositories for DiscreteAdversarialDistillation
Users that are interested in DiscreteAdversarialDistillation are comparing it to the libraries listed below
Sorting:
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆57Updated 7 months ago
- Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representation…☆21Updated last year
- Code for T-MARS data filtering☆35Updated last year
- Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models☆21Updated 3 months ago
- [ICML 2025] Code for "R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts"☆15Updated 4 months ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆36Updated 8 months ago
- Do Vision and Language Models Share Concepts? A Vector Space Alignment Study☆15Updated 7 months ago
- ☆17Updated 11 months ago
- Official code and dataset for our NAACL 2024 paper: DialogCC: An Automated Pipeline for Creating High-Quality Multi-modal Dialogue Datase…☆13Updated last year
- Holistic evaluation of multimodal foundation models☆48Updated 11 months ago
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆45Updated last year
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆31Updated 2 years ago
- Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?☆14Updated last month
- [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.☆27Updated last year
- ☆20Updated 2 months ago
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆42Updated 8 months ago
- Official repo of Progressive Data Expansion: data, code and evaluation☆29Updated last year
- [NeurIPS 2024] RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models☆24Updated 8 months ago
- ☆42Updated 8 months ago
- [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization☆33Updated 9 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆45Updated 9 months ago
- ☆55Updated last year
- Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)☆10Updated 10 months ago
- Code for the CCE algorithm proposed in "Towards Compositionality in Concept Learning" at ICML 2024.☆15Updated last year
- ☆29Updated 2 years ago
- ☆21Updated 8 months ago
- [Findings of ACL-2023] This is the official implementation of On the Difference of BERT-style and CLIP-style Text Encoders.☆14Updated 2 years ago
- [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning☆19Updated 3 weeks ago