mlfoundations / dataset2metadataLinks
☆27Updated last year
Alternatives and similar repositories for dataset2metadata
Users that are interested in dataset2metadata are comparing it to the libraries listed below
Sorting:
- ☆64Updated last year
- Code for T-MARS data filtering☆35Updated 2 years ago
- This repository contains the code and data for the paper "VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception o …☆28Updated 7 months ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 3 years ago
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆28Updated this week
- Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning☆36Updated 2 years ago
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆33Updated 2 years ago
- ☆26Updated 2 years ago
- Patching open-vocabulary models by interpolating weights☆91Updated 2 years ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 3 years ago
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- Recycling diverse models☆46Updated 3 years ago
- ☆55Updated last year
- ☆10Updated 2 years ago
- Code for "Merging Text Transformers from Different Initializations"☆20Updated last year
- ☆38Updated 3 years ago
- PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"☆37Updated 2 years ago
- ☆16Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆33Updated last year
- [ICLR 2026 🔥] Dr.LLM: Dynamic Layer Routing in LLMs☆41Updated 3 months ago
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆24Updated 10 months ago
- ☆19Updated 6 months ago
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Updated 2 years ago
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- The repository contains code for Adaptive Data Optimization☆32Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆56Updated 2 years ago
- Code for ACL 2023 Oral Paper: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning☆12Updated 5 months ago
- Self-Supervised Alignment with Mutual Information☆20Updated last year
- Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.☆25Updated 2 years ago
- Exploration of automated dataset selection approaches at large scales.☆52Updated 11 months ago