ItzikMalkiel / MTAdamLinks
MTAdam: Automatic Balancing of Multiple Training Loss Terms
☆36Updated 4 years ago
Alternatives and similar repositories for MTAdam
Users that are interested in MTAdam are comparing it to the libraries listed below
Sorting:
- ☆24Updated last month
- Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"☆32Updated 4 years ago
- Code for "MIM: Mutual Information Machine" paper.☆16Updated 2 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated 10 months ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- ☆24Updated last year
- ☆47Updated 4 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- ☆34Updated 6 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"☆14Updated 6 years ago
- This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer …☆55Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆84Updated 5 years ago
- Layerwise Batch Entropy Regularization☆23Updated 2 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 7 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- High performance pytorch modules☆18Updated 2 years ago
- Masked Convolutional Flow☆59Updated 5 years ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆46Updated 4 years ago
- A simple implementation of a deep linear Pytorch module☆21Updated 4 years ago
- Relative Positional Encoding for Transformers with Linear Complexity☆64Updated 3 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…☆47Updated 2 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago
- Axial Positional Embedding for Pytorch☆81Updated 3 months ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago