distillpub / post--attribution-baselines
The repository for the submission "Visualizing the Impact of Feature Attribution Baselines"
☆16Updated 2 years ago
Alternatives and similar repositories for post--attribution-baselines:
Users that are interested in post--attribution-baselines are comparing it to the libraries listed below
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 3 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 4 years ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆16Updated 3 years ago
- ☆12Updated 4 years ago
- Official implementation for Neural networks with recurrent generative feedback (NeurIPS 2020).☆22Updated 4 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 5 months ago
- ☆25Updated 4 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆35Updated 4 years ago
- ☆24Updated 10 months ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- 📰 Computing the information content of trained neural networks☆21Updated 3 years ago
- ☆12Updated 5 years ago
- ☆12Updated 3 years ago
- Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)☆26Updated 4 years ago
- ☆13Updated 4 years ago
- ☆17Updated 2 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- ☆19Updated 4 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆17Updated 3 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆56Updated 2 years ago
- ☆36Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated last year
- Implementation of Kronecker Attention in Pytorch☆18Updated 4 years ago
- Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.☆20Updated last week
- Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics (AAAI 2022)☆14Updated 3 years ago
- ☆29Updated 3 years ago