talipucar / CPCLinks
Pytorch implementation of the paper, "Representation Learning with Contrastive Predictive Coding", or CPC, https://arxiv.org/pdf/1807.03748.pdf
☆10Updated 4 years ago
Alternatives and similar repositories for CPC
Users that are interested in CPC are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆89Updated 4 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated 2 years ago
- ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification☆73Updated last year
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- Contrastive Predictive Coding for Automatic Speaker Verification☆506Updated 6 years ago
- Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information☆353Updated last year
- This is an Uncertainty Study Arxiv☆12Updated 10 months ago
- Contrastive Learning for Time Series☆40Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 3 years ago
- A pytorch implementation of mpvae.☆13Updated 5 years ago
- ☆125Updated 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
- Time series explainability via self-supervised model behavior consistency☆54Updated 2 years ago
- Implementation for ICLR 2023 paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743…☆41Updated 3 years ago
- Probabilistic time series modeling in Python☆25Updated 4 years ago
- Code for mixup contrastive learning☆22Updated 4 years ago
- Truth-Conditional Captions for Time Series Data. EMNLP 2021. Harsh Jhamtani, Taylor Berg-Kirkpatrick☆13Updated 3 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆18Updated 6 years ago
- ☆66Updated 3 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Updated 2 years ago
- ☆17Updated 3 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆141Updated 2 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Updated last year
- ☆43Updated 3 years ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆64Updated 3 months ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆63Updated 5 years ago
- MLTI for ICLR 2022☆30Updated 3 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆68Updated 2 years ago
- ☆29Updated 4 years ago