mmcdermott / How-to-PhD
A collection of resources and information for concrete skills that are helpful when pursuing a PhD in computer science (specifically in ML/AI or related disciplines)
☆21Updated last year
Related projects ⓘ
Alternatives and complementary repositories for How-to-PhD
- An Empirical Framework for Domain Generalization In Clinical Settings☆27Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆61Updated last year
- ☆27Updated last year
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆60Updated 7 months ago
- ☆25Updated 9 months ago
- ☆19Updated 2 years ago
- Source codes of the paper "Hierarchical Pretraining on Multimodal Electronic Health Records".☆16Updated 7 months ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated last year
- [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction☆47Updated 3 months ago
- [ACL 2024] This is the code for our paper ”RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records“.☆17Updated last month
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated last year
- Limited automatic tabular ML pipelines for generic MEDS datasets.☆11Updated this week
- Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex intern…☆102Updated 2 months ago
- Official code repository for Correct-N-Contrast☆21Updated 2 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 6 months ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆91Updated 8 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆50Updated 6 months ago
- Time series explainability via self-supervised model behavior consistency☆37Updated last year
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆22Updated 2 years ago
- C-Mixup for NeurIPS 2022☆66Updated 10 months ago
- UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge☆12Updated 11 months ago
- Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)☆40Updated 6 months ago
- An offical implementation of EHRDiff [TMLR]☆24Updated 4 months ago
- EMNLP'22 | PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning☆26Updated last year
- Medical multi-modal learning with missing modality data (MLHC 2023)☆12Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆98Updated last year
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆17Updated last year
- [NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions☆60Updated last week
- [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy☆60Updated 11 months ago
- ☆27Updated last year