antonyvigouret / Pay-Attention-to-MLPs
My implementation of the gMLP model from the paper "Pay Attention to MLPs".
☆24Updated 3 years ago
Alternatives and similar repositories for Pay-Attention-to-MLPs:
Users that are interested in Pay-Attention-to-MLPs are comparing it to the libraries listed below
- PyTorch implementation of Pay Attention to MLPs☆40Updated 3 years ago
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆30Updated 3 years ago
- ☆22Updated 2 years ago
- AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.☆24Updated last year
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated last year
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆46Updated 2 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 4 years ago
- Implementation of dynamic temporal pooling (DTP) for time series classification☆38Updated 2 years ago
- PyTorch implementation of RealFormer: Transformer Likes Residual Attention☆11Updated 3 years ago
- A Python Package for Deep Imbalanced Learning☆54Updated last year
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 4 years ago
- Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".☆44Updated 3 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆41Updated 2 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 3 years ago
- ☆40Updated last year
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆67Updated 3 years ago
- Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)☆72Updated 4 years ago
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆83Updated 3 years ago
- ☆19Updated 3 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆73Updated 5 years ago
- pytorch implementation of manifold-mixup☆22Updated 2 years ago
- Recent Advances in MLP-based Models (MLP is all you need!)☆113Updated 2 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 2 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 3 years ago
- Unsupervised Deep Embedding for Clustering Analysis (DEC)☆23Updated 4 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆59Updated 4 years ago
- Custom loss functions to use in (mainly) PyTorch.☆37Updated 4 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated last year
- Implementation of Multi-View Information Bottleneck☆129Updated 4 years ago