Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)
☆18Apr 26, 2020Updated 6 years ago
Alternatives and similar repositories for dropmax
Users that are interested in dropmax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆13Jan 1, 2018Updated 8 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Jul 13, 2018Updated 7 years ago
- The implementation of Text-guided Attention Model for Image Captioning☆21Nov 9, 2017Updated 8 years ago
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 7 years ago
- ☆31Mar 17, 2026Updated 2 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The code for the paper, 'Meta-Curvature, Eunbyung Park and Junier Oliver, NeurIPS 2019'☆11Jan 20, 2020Updated 6 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Aug 5, 2024Updated last year
- understanding of CNN with various visualization techniques☆13Aug 20, 2018Updated 7 years ago
- [ACL 2021] Learning to Perturb Word Embeddings for Out-of-distribution QA☆16May 11, 2022Updated 4 years ago
- Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)☆13Jul 22, 2021Updated 4 years ago
- Zeroth-order Min-max Optimization☆13Jun 28, 2020Updated 5 years ago
- Code for Learned Thresholds Token Merging and Pruning for Vision Transformers (LTMP). A technique to reduce the size of Vision Transforme…☆17Nov 24, 2024Updated last year
- Fine-grained Entity Typing / Fine-grained Entity Classification☆12Apr 19, 2018Updated 8 years ago
- A Library of Variational Dropouts☆15Jul 29, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Apr 25, 2019Updated 7 years ago
- ☆15Feb 12, 2021Updated 5 years ago
- An implementation of Contextual Attention Recurrent Architecture (SIGIR 2018)☆15Mar 10, 2022Updated 4 years ago
- Results of the NeurIPS 2018 Demographics & Inclusion Survey☆10Oct 13, 2019Updated 6 years ago
- Baselines of metric learning method using PyTorch.☆11Oct 18, 2021Updated 4 years ago
- Removes trailing spaces from cells and editors☆12Jan 5, 2023Updated 3 years ago
- ☆15May 19, 2017Updated 9 years ago
- 随机扒取古诗文词语作为git的commit msg☆11Jan 16, 2017Updated 9 years ago
- Optimizers in tensorflow from scratch☆18Jun 6, 2017Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A Python wrapper of OpenCV implementation of BING Objectness☆15Aug 18, 2017Updated 8 years ago
- ☆14May 7, 2019Updated 7 years ago
- ☆17Sep 9, 2020Updated 5 years ago
- Official Code Repository for the paper "Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation …☆20Jun 19, 2023Updated 2 years ago
- PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.☆19Jan 22, 2024Updated 2 years ago
- Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?☆11Jan 3, 2019Updated 7 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- ☆22Nov 24, 2018Updated 7 years ago
- ☆13Feb 17, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- `junior must know his place` team solution☆10Aug 15, 2023Updated 2 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Nov 23, 2020Updated 5 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Mar 24, 2023Updated 3 years ago
- ☆11Oct 15, 2020Updated 5 years ago
- Efficient Bayesian Learning Curve Extrapolation☆22Oct 15, 2024Updated last year
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆15Jul 24, 2024Updated last year
- The code for the paper: https://arxiv.org/pdf/1802.00168.pdf☆17Oct 2, 2019Updated 6 years ago