WeiHuang05 / Awesome_Large_Foundation_Model_Theory
Welcome to the 'In Context Learning Theory' Reading Group
☆11Updated last week
Related projects: ⓘ
- Official implementation of GOAT model (ICML2023)☆31Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆61Updated last year
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆21Updated last year
- This is the project for IRM methods☆11Updated 3 years ago
- [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training☆24Updated 8 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆27Updated 3 months ago
- Official code of "Discover and Cure: Concept-aware Mitigation of Spurious Correlation" (ICML 2023)☆39Updated 5 months ago
- ☆12Updated 3 months ago
- ☆27Updated last year
- Bayesian Low-Rank Adaptation for Large Language Models☆25Updated 2 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆49Updated 5 months ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆137Updated last month
- ☆21Updated 2 months ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆34Updated last year
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆22Updated 3 years ago
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆22Updated 7 months ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated last year
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆36Updated last year
- A python package providing a benchmark with various specified distribution shift patterns.☆53Updated 9 months ago
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆22Updated 2 months ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆31Updated 10 months ago
- [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆62Updated 2 months ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆11Updated 2 years ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆40Updated 2 weeks ago
- Deep Learning & Information Bottleneck☆45Updated last year
- translation of VHL repo in paddle☆25Updated last year
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆34Updated 4 months ago
- Neural Tangent Kernel Papers☆84Updated 6 months ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆48Updated 3 years ago
- PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022)☆37Updated 2 years ago