Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
☆54Jan 12, 2022Updated 4 years ago
Alternatives and similar repositories for ssl_identifiability
Users that are interested in ssl_identifiability are comparing it to the libraries listed below
Sorting:
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆92Jul 31, 2024Updated last year
- ☆38Feb 6, 2024Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Jul 4, 2022Updated 3 years ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆100Aug 28, 2023Updated 2 years ago
- ☆12Oct 5, 2022Updated 3 years ago
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Feb 8, 2023Updated 3 years ago
- ☆22Nov 11, 2023Updated 2 years ago
- A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Dise…☆77Feb 25, 2023Updated 3 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆29Feb 1, 2023Updated 3 years ago
- ☆31Oct 13, 2021Updated 4 years ago
- pytorch implementation of SOSELETO☆15Sep 5, 2019Updated 6 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Aug 26, 2025Updated 6 months ago
- ☆53Jul 23, 2024Updated last year
- New structural distributional shifts for evaluating graph models☆15Oct 25, 2023Updated 2 years ago
- Explainable Interactive Concept Learning☆15Mar 26, 2023Updated 2 years ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆15Apr 12, 2020Updated 5 years ago
- [ICLR 2023] Official code for the paper "Identifiability Results for Multimodal Contrastive Learning"☆35Mar 17, 2023Updated 2 years ago
- Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds☆20Dec 18, 2021Updated 4 years ago
- This is the repository of the Dense Hierarchical Retrieval for Open-Domain Question Answering☆14Dec 23, 2021Updated 4 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆42Nov 27, 2022Updated 3 years ago
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Dec 15, 2023Updated 2 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Apr 22, 2019Updated 6 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Nov 17, 2021Updated 4 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆171Apr 26, 2021Updated 4 years ago
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆24Feb 26, 2022Updated 4 years ago
- ☆22Feb 26, 2024Updated 2 years ago
- Code repository for the paper : Causal thinking for decision making on Electronic Health Records: why and how☆23Nov 10, 2023Updated 2 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Jun 20, 2023Updated 2 years ago
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆21Dec 23, 2022Updated 3 years ago
- PyTorch code to run synthetic experiments.☆435Sep 8, 2021Updated 4 years ago
- VAEs and nonlinear ICA: a unifying framework☆50Jul 8, 2019Updated 6 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆23Jul 15, 2022Updated 3 years ago
- Jam of papers that interest or bore me and my friends :P☆24Jan 4, 2026Updated 2 months ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 4 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Jun 14, 2020Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- An implementation of a differentiable point process and a differentiable spiking neural network.☆22Jun 8, 2021Updated 4 years ago
- The Codebase for Causal Distillation for Language Models (NAACL '22)☆26May 1, 2022Updated 3 years ago