zhougroup / BAMLinks
Bayesian Attention Modules
☆35Updated 4 years ago
Alternatives and similar repositories for BAM
Users that are interested in BAM are comparing it to the libraries listed below
Sorting:
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- ☆109Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- ☆38Updated last year
- ☆16Updated 2 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Updated 11 months ago
- ☆27Updated 6 months ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆76Updated 3 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆26Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Code to reproduce the results for Compositional Attention☆59Updated 2 years ago
- ☆31Updated 4 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆53Updated 2 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- [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
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- Diffusion Models for Causal Discovery☆87Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆47Updated 5 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆86Updated last year
- Noise Contrastive Estimation (NCE) in PyTorch☆31Updated 7 months ago
- ☆29Updated 3 years ago