statwangz / MATH-4432-Statistical-Machine-Learning
Tutorials for MATH 4432 Statistical Machine Learning, HKUST, Fall 2022
☆10Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for MATH-4432-Statistical-Machine-Learning
- a collection of AWESOME things about Optimal Transport in Deep Learning☆198Updated 6 months ago
- Welcome to the 'In Context Learning Theory' Reading Group☆22Updated 2 weeks ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆144Updated 3 weeks ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆94Updated 5 months ago
- mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning /…☆25Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆52Updated 6 months ago
- Paper of out of distribution detection and generalization☆52Updated last year
- Official implementation for 'Class-Balancing Diffusion Models'☆46Updated 6 months ago
- [ICML23] On Pitfalls of Test-Time Adaptation☆103Updated 7 months ago
- Neural Tangent Kernel Papers☆94Updated 8 months ago
- ☆16Updated this week
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆100Updated last year
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆170Updated 9 months ago
- Code for coreset selection methods☆212Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆163Updated last year
- Our code for ICCV'23 paper "CAME: Contrastive Automated Model Evaluation".☆26Updated 9 months ago
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆76Updated this week
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆23Updated 4 months ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆25Updated last year
- ☆24Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆53Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆23Updated 2 months ago
- translation of VHL repo in paddle☆25Updated last year
- Collection of awesome test-time (domain/batch/instance) adaptation methods☆758Updated last week
- Code for our ICML'24 on multimodal dataset distillation☆26Updated last month
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆249Updated 7 months ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆62Updated 3 weeks ago
- ☆60Updated last year
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆25Updated last month
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆42Updated 2 years ago