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)☆88Updated 3 years ago
- This is an Uncertainty Study Arxiv☆11Updated 8 months ago
- ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification☆73Updated last year
- Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information☆349Updated last year
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated 2 years ago
- Official code of "ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning"☆23Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- Domain-Adaptive Recurrent Neural Network for driving manoeuver anticipation, built in Keras☆35Updated 6 years ago
- ☆22Updated 3 years ago
- ☆65Updated 2 years ago
- Contrastive Learning for Time Series☆40Updated 2 years ago
- Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)☆17Updated last year
- Time series explainability via self-supervised model behavior consistency☆53Updated 2 years ago
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆43Updated last year
- Implementation for ICLR 2023 paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743…☆40Updated 3 years ago
- A Python Package for Deep Imbalanced Learning☆57Updated 3 months ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆64Updated 2 months ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆76Updated 3 years ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆126Updated last year
- Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"☆26Updated 2 years ago
- [ICLR 2023] Official code for the paper "Identifiability Results for Multimodal Contrastive Learning"☆34Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- ☆124Updated 2 years ago
- Code for mixup contrastive learning☆22Updated 4 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆18Updated 6 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆32Updated 4 years ago
- CLUE code☆12Updated 6 months ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- Instance-Dependent Partial Label Learning(NIPS'21);Variational Label Enhancement for Instance-Dependent Partial Label Learning(TPAMI)☆26Updated 5 months ago