estherrolf / implicit-posterior
☆12Updated 2 years ago
Alternatives and similar repositories for implicit-posterior:
Users that are interested in implicit-posterior are comparing it to the libraries listed below
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated last year
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- This repository contains recent research on uncertainty estimation. Inspired from other 'awesome' github pages like awesome-deep-learnin…☆17Updated 4 years ago
- ☆58Updated 3 years ago
- ☆45Updated 2 years ago
- This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Po…☆25Updated 2 years ago
- ☆107Updated last year
- STEEX: Steering Counterfactual Explanations with Semantics☆18Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 10 months ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Differentiable Top-k Classification Learning☆80Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- NeurIPS 2020, "A Topological Filter for Learning with Label Noise".☆30Updated 2 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆39Updated 3 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- ☆18Updated 3 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- Functions for computing metrics commonly used in the field of out-of-distribution (OOD) detection☆48Updated 2 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆66Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆138Updated last year
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- ☆23Updated 2 years ago
- ☆31Updated 4 years ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆92Updated last year
- ☆10Updated this week
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated last year
- PyTorch implementation of FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence☆11Updated 3 years ago
- ExCon: Explanation-driven Supervised Contrastive Learning☆18Updated 3 years ago