dongzelian / T-NASLinks
Source code of ICLR2020 paper 'Towards Fast Adaptation of Neural Architectures with Meta Learning'
☆27Updated 2 years ago
Alternatives and similar repositories for T-NAS
Users that are interested in T-NAS are comparing it to the libraries listed below
Sorting:
- SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas☆164Updated 4 years ago
- ☆21Updated 5 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Updated 2 years ago
- Code for "Are labels necessary for neural architecture search"☆92Updated last year
- Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search☆176Updated last year
- Code for AutoNL on ImageNet (CVPR2020)☆105Updated 5 years ago
- Implementation with latest PyTorch (v1.1) for multi-gpu DARTS https://arxiv.org/abs/1806.09055☆83Updated 5 years ago
- Pytorch implementation of SNAS☆75Updated 6 years ago
- Understanding and Robustifying DARTS☆159Updated last year
- BlockDrop: Dynamic Inference Paths in Residual Networks☆142Updated 2 years ago
- Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)☆128Updated 3 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆177Updated 3 years ago
- ☆171Updated 4 years ago
- Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method☆25Updated 5 years ago
- code for CVPR paper "Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning"☆27Updated 2 years ago
- [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search☆104Updated 5 years ago
- [ECCV 2020] DADA: Differentiable Automatic Data Augmentation☆191Updated 2 years ago
- Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"☆76Updated 4 years ago
- Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)☆139Updated 4 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆109Updated 6 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- ☆25Updated 6 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆82Updated last year
- This repo contains the PyTorch implementation of the SNAS-Series papers☆149Updated 4 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆49Updated 4 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated 2 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 2 years ago
- Implementation of momentum^2 teacher☆121Updated 4 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago