CVxTz / IntegratedGradientsPytorchLinks
Integrated gradients attribution method implemented in PyTorch
☆27Updated 4 years ago
Alternatives and similar repositories for IntegratedGradientsPytorch
Users that are interested in IntegratedGradientsPytorch are comparing it to the libraries listed below
Sorting:
- Bayesian Attention Modules☆35Updated 4 years ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆25Updated last year
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 9 months ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- ☆27Updated 4 months ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- [NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling☆22Updated last month
- C-Mixup for NeurIPS 2022☆73Updated last year
- implementations sde-net☆14Updated 4 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆39Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- ☆31Updated 3 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆59Updated 2 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆25Updated 3 years ago
- Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"☆26Updated 2 years ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆38Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- ☆13Updated 3 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆23Updated 2 years ago
- ☆13Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated 11 months ago
- VAEs and nonlinear ICA: a unifying framework☆48Updated 6 years ago