VADERASU / visual-analytics-for-deep-transfer-learning
The repository for the paper "A Visual Analytics Framework for Explaining and Diagnosing the Transfer Learning Processes".
☆13Updated 4 years ago
Alternatives and similar repositories for visual-analytics-for-deep-transfer-learning:
Users that are interested in visual-analytics-for-deep-transfer-learning are comparing it to the libraries listed below
- A training program for freshmem☆14Updated 3 years ago
- "Learning Stable Classifiers by Transferring Unstable Features" ICML 2022☆14Updated 2 years ago
- ☆36Updated 3 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series☆32Updated 2 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆22Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆118Updated 3 years ago
- ☆35Updated 3 years ago
- demonstration of the information bottleneck theory for deep learning☆61Updated 7 years ago
- Survey for Distribution Shift☆18Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated 10 months ago
- Python implementation of Geometric Dataset Distances via Optimal Transport☆34Updated last year
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆41Updated 4 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Codes for the paper "Optimizing Mode Connectivity via Neuron Alignment" from NeurIPS 2020.☆16Updated 4 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆24Updated 3 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆48Updated 3 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆56Updated last year
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆38Updated 3 years ago
- Code for Neural Manifold Clustering and Embedding☆57Updated 2 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆48Updated 3 years ago
- Unofficial repo for SubTab with additional code and data for Adult Income and BlogFeedback datasets. BlogFeedback data is attached as zip…☆10Updated 2 years ago
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆44Updated 4 years ago
- The HSIC Bottleneck: Deep Learning without Back-Propagation☆85Updated 4 years ago
- ☆22Updated 3 years ago
- C-Mixup for NeurIPS 2022☆68Updated last year
- Implementation for ICLR 2023 paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743…☆36Updated 2 years ago
- A benchmark for distribution shift in tabular data☆50Updated 8 months ago