MaximeRobeyns / bayesian_lora
Bayesian Low-Rank Adaptation for Large Language Models
☆32Updated 10 months ago
Alternatives and similar repositories for bayesian_lora:
Users that are interested in bayesian_lora are comparing it to the libraries listed below
- Bayesian low-rank adaptation for large language models☆23Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆26Updated 3 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆101Updated last year
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆14Updated 9 months ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆27Updated 11 months ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 11 months ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- ☆66Updated 3 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ☆30Updated 9 months ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- ☆28Updated last year
- ☆34Updated last year
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆24Updated 10 months ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆48Updated 11 months ago
- ☆35Updated 2 years ago
- ☆107Updated last year
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆34Updated last year
- Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".☆18Updated 2 months ago
- A simple PyTorch implementation of influence functions.☆85Updated 10 months ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- LISA for ICML 2022☆48Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- Deep Learning & Information Bottleneck☆60Updated last year
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆21Updated 7 months ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year