andyjm3 / SLTrain
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
☆24Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for SLTrain
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆15Updated 5 months ago
- [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆73Updated 4 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆36Updated 7 months ago
- ☆46Updated last year
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆43Updated last month
- [ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen…☆27Updated last year
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 2 years ago
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆46Updated last year
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆42Updated 6 months ago
- [ICLR 2023] Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation☆12Updated last year
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆28Updated last month
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆18Updated last year
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆53Updated 3 weeks ago
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters☆23Updated 2 weeks ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆79Updated last year
- Deep Learning & Information Bottleneck☆50Updated last year
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆11Updated 3 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆31Updated 3 weeks ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆41Updated 2 years ago
- Welcome to the 'In Context Learning Theory' Reading Group☆22Updated last week
- gradient norm penalty☆38Updated 5 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆44Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆49Updated 3 weeks ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆36Updated last year
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆30Updated 2 years ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆35Updated 3 weeks ago
- A curated list of Model Merging methods.☆83Updated 2 months ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆17Updated 5 months ago
- Bayesian Low-Rank Adaptation for Large Language Models☆28Updated 4 months ago
- ☆21Updated last year