☆38Oct 3, 2023Updated 2 years ago
Alternatives and similar repositories for sim_metric
Users that are interested in sim_metric are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆13Jan 31, 2024Updated 2 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆15Feb 24, 2026Updated 3 weeks ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Mar 3, 2024Updated 2 years ago
- Code for T-MARS data filtering☆35Aug 23, 2023Updated 2 years ago
- This code accompanies the paper "Information-Theoretic Probing for Linguistic Structure" published in ACL 2020.☆21Apr 27, 2020Updated 5 years ago
- ☆12Oct 5, 2020Updated 5 years ago
- Codebase for Learning Invariances in Neural Networks☆96Oct 7, 2022Updated 3 years ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆16Oct 28, 2021Updated 4 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆142Jul 30, 2024Updated last year
- A Closer Look at Accuracy vs. Robustness☆88May 17, 2021Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Jun 10, 2021Updated 4 years ago
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 5 years ago
- Implementation of Centered Kernel Alignment (CKA)☆10Apr 7, 2021Updated 4 years ago
- ☆10Mar 13, 2023Updated 3 years ago
- Source Code for paper "Learning from Explanations with Neural Execution Tree", ICLR 2020☆18Mar 29, 2021Updated 4 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Oct 18, 2021Updated 4 years ago
- Spectral Alignment of Graphs☆11Mar 26, 2017Updated 8 years ago
- ☆37Jun 10, 2021Updated 4 years ago
- Implementation of Wasserstein adversarial attacks.☆24Jan 2, 2021Updated 5 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Apr 18, 2024Updated last year
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆19Oct 12, 2021Updated 4 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Jul 25, 2024Updated last year
- ☆38Jul 13, 2022Updated 3 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- MIMEx: Intrinsic Rewards from Masked Input Modeling [NeurIPS 2023]☆16May 17, 2023Updated 2 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- Bias Buccaneers Image Recognition Challenge☆11Nov 8, 2022Updated 3 years ago
- ☆14Jan 30, 2021Updated 5 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97May 25, 2023Updated 2 years ago
- Post-processing for fair classification☆17Jun 30, 2025Updated 8 months ago
- ☆14Apr 16, 2018Updated 7 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆26Dec 30, 2021Updated 4 years ago
- The process scheduler used in Linux kernel (since version 2.6.23), simulated using Python.☆11Feb 13, 2022Updated 4 years ago
- ☆15Jul 24, 2022Updated 3 years ago
- 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
- ☆14Jul 6, 2021Updated 4 years ago
- ☆30Jan 3, 2023Updated 3 years ago