Liang137 / DPZeroLinks
[ICML 2024] DPZero: Private Fine-Tuning of Language Models without Backpropagation
☆13Updated 10 months ago
Alternatives and similar repositories for DPZero
Users that are interested in DPZero are comparing it to the libraries listed below
Sorting:
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆36Updated last year
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 2 years ago
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆59Updated last week
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆59Updated 9 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆52Updated 2 years ago
- Implementation of Gradient Information Optimization (GIO) for effective and scalable training data selection☆14Updated 2 years ago
- Codebase for decoding compressed trust.☆24Updated last year
- ☆15Updated 11 months ago
- Test-time-training on nearest neighbors for large language models☆44Updated last year
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆45Updated 9 months ago
- ☆35Updated 6 months ago
- Learning adapter weights from task descriptions☆19Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆79Updated last month
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Updated 2 years ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆28Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- ☆50Updated last year
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 2 months ago
- A Sober Look at Language Model Reasoning☆77Updated last month
- ☆16Updated 3 months ago
- ☆18Updated 4 months ago
- ☆44Updated 5 months ago
- ☆35Updated last year
- ☆70Updated 3 years ago
- Lightweight Adapting for Black-Box Large Language Models☆22Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 3 months ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆77Updated 6 months ago
- A curated list of Model Merging methods.☆92Updated 10 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆38Updated 8 months ago
- Repo for ACL2023 Findings paper "Emergent Modularity in Pre-trained Transformers"☆25Updated 2 years ago