ZhichenZhao / pytorch-mmoeLinks
☆27Updated 5 years ago
Alternatives and similar repositories for pytorch-mmoe
Users that are interested in pytorch-mmoe are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆32Updated 4 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆272Updated 3 years ago
- Pytorch implementation for Meta-SPL (self-paced learning).☆18Updated 5 years ago
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 3 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆91Updated last year
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 4 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated 2 years ago
- A list of contrastive Learning papers☆308Updated 3 years ago
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆203Updated 9 months ago
- A pytorch implementation of mpvae.☆13Updated 5 years ago
- List of Publications in Graph Contrastive Learning☆34Updated 3 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
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆199Updated 3 years ago
- ☆15Updated 2 years ago
- AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.☆28Updated 2 years ago
- ☆38Updated 2 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Updated 7 years ago
- C-Mixup for NeurIPS 2022☆73Updated 2 years ago
- GitHub Repository for KDD 2022 paper "Saliency-Regularized Deep Multi-Task Learning"☆12Updated 2 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆45Updated last year
- ☆17Updated 3 years ago
- ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsDetecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022☆25Updated 3 years ago
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆279Updated 4 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆58Updated 4 years ago
- ☆19Updated 5 years ago
- This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.☆116Updated 4 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 3 years ago
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆30Updated 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
- The implementation of mixup and mainfold mixup method with standard models(PreActRes, WideRes, Dense) in Cifar10, Cifar100 and SVHN datas…☆48Updated 4 years ago