peiwang062 / towards-realistic-predictorsLinks
pytorch implementation for paper, towards realistic predictors
☆17Updated 7 years ago
Alternatives and similar repositories for towards-realistic-predictors
Users that are interested in towards-realistic-predictors are comparing it to the libraries listed below
Sorting:
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆56Updated 5 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- Recent few-shot meta-learning papers☆86Updated 7 years ago
- PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)☆67Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs☆23Updated 2 years ago
- Official code for paper Context-aware Zero-shot Recognition (https://arxiv.org/abs/1904.09320 to appear at AAAI2020)☆58Updated 5 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago
- Project page for Heated-up Softmax Embedding☆43Updated 7 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated 2 years ago
- Wasserstein Introspective Neural Networks (CVPR 2018 Oral)☆59Updated 7 years ago
- ☆20Updated 8 years ago
- AutoDIAL Caffe Implementation☆27Updated 8 years ago
- Tensorflow implementation of paper "Recurrent Models of Visual Attention"☆51Updated 8 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 6 years ago
- ☆66Updated 7 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- ☆64Updated 8 years ago
- ☆100Updated 5 years ago
- Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"☆64Updated 6 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆30Updated 4 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆111Updated 7 years ago
- ☆32Updated 6 years ago
- Capsule research with our trivial contribution☆53Updated 7 years ago
- Low-shot learning with large-scale diffusion☆47Updated 6 years ago
- PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video☆47Updated 5 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago