namkoong-lab / LLM-Tabular-ShiftsLinks
Code for "LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts"
☆10Updated 9 months ago
Alternatives and similar repositories for LLM-Tabular-Shifts
Users that are interested in LLM-Tabular-Shifts are comparing it to the libraries listed below
Sorting:
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆21Updated last month
- ☆8Updated 2 years ago
- ☆36Updated last year
- PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023☆14Updated last year
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆9Updated 5 years ago
- 📚 A collection of awesome Causality in ST data papers.☆20Updated 5 months ago
- ☆10Updated 3 years ago
- PyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023☆60Updated last year
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆12Updated 4 months ago
- Connectivity-contrastive learning (CCL)☆10Updated 2 years ago
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆12Updated 3 years ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆40Updated last year
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- Papers collections that is related to knowledge graph, causal inference, and large language model☆59Updated last year
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆58Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- ☆67Updated 2 years ago
- ☆13Updated 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
- FinanceRAG project by KAIST students. Advanced Retrieval-Augmented Generation (RAG) system designed for the financial domain.☆10Updated 5 months ago
- Official implementation of Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning (NeurIPS 2024).☆22Updated 5 months ago
- For calculating Shapley values via linear regression.☆70Updated 4 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆88Updated 2 years ago
- Codes and data for CIKM 2022 paper "RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation"☆11Updated 2 years ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆12Updated 3 years ago
- The demo for "Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network" in ICML 2021☆11Updated 3 years ago
- ☆28Updated last year
- ☆42Updated last year
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"☆26Updated 2 years ago