Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"
☆13Oct 23, 2021Updated 4 years ago
Alternatives and similar repositories for in-n-out
Users that are interested in in-n-out are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Post-processing for fair classification☆16Jun 30, 2025Updated 9 months ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- ☆27Feb 19, 2023Updated 3 years ago
- OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library☆12Jul 13, 2017Updated 8 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆16Oct 2, 2022Updated 3 years ago
- ☆11Oct 5, 2020Updated 5 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Apr 27, 2019Updated 6 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Sep 13, 2020Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Jun 10, 2021Updated 4 years ago
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆13Apr 9, 2024Updated 2 years ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆18Sep 9, 2022Updated 3 years ago
- Scalable Bayes via Barycenter in Wasserstein Space☆10Sep 7, 2017Updated 8 years ago
- ☆11Jun 2, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆37Jun 10, 2021Updated 4 years ago
- Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".☆16Updated this week
- ☆13Jan 30, 2021Updated 5 years ago
- Everything from Summer School 2022.☆14Jul 24, 2022Updated 3 years ago
- csl: PyTorch-based Constrained Learning☆11Jun 1, 2022Updated 3 years ago
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 5 years ago
- String matching algorithm benchmark☆37Mar 22, 2026Updated 2 weeks ago
- ☆16Feb 8, 2024Updated 2 years ago
- ☆43Nov 16, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆13Jul 6, 2021Updated 4 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Dec 5, 2021Updated 4 years ago
- Contains placement related material from our on-campus placements, 2021 at IIT Bombay☆15Jan 7, 2022Updated 4 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆153Jan 14, 2023Updated 3 years ago
- Find context neurons in Pythia models.☆13Jun 13, 2023Updated 2 years ago
- ☆19Nov 4, 2025Updated 5 months ago
- ☆56Aug 14, 2020Updated 5 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Dec 27, 2019Updated 6 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Implementation of Wasserstein adversarial attacks.☆24Jan 2, 2021Updated 5 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆35Jul 3, 2021Updated 4 years ago
- Official code for the paper "Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network"☆16Aug 9, 2023Updated 2 years ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆15Feb 7, 2025Updated last year
- ☆15Jan 9, 2026Updated 3 months ago
- An inequality benchmark for theorem proving☆22Feb 1, 2026Updated 2 months ago
- ☆32Jul 8, 2018Updated 7 years ago