hardianlawi / MTL-Homoscedastic-Uncertainty
Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow
☆53Updated 6 years ago
Alternatives and similar repositories for MTL-Homoscedastic-Uncertainty:
Users that are interested in MTL-Homoscedastic-Uncertainty are comparing it to the libraries listed below
- Focal Loss of multi-classification in tensorflow☆80Updated 6 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆174Updated 3 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆146Updated 4 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 5 years ago
- PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"☆21Updated 5 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated last year
- A TensorFlow re-implementation of Momentum Contrast (MoCo): https://arxiv.org/abs/1911.05722☆160Updated last year
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Corrupted labels and label smoothing☆128Updated 7 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- Meta-Learning based Noise-Tolerant Training☆124Updated 4 years ago
- mixup: Beyond Empirical Risk Minimization☆99Updated 7 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 6 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆69Updated 2 years ago
- A list of multi-task machine learning papers.☆37Updated 6 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆222Updated 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
- SSL using PyTorch☆49Updated 5 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 5 years ago
- Implementations of knowledge distillation and knowledge transfer models in neural networks.☆22Updated 5 years ago
- ☆146Updated 3 years ago
- ☆100Updated 4 years ago
- CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images☆158Updated 4 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆70Updated 7 years ago
- Implementation and experiments for AdamW on Pytorch☆93Updated 5 years ago
- Papers and Codes about Deep Metric Learning/Deep Embedding☆35Updated 5 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆44Updated 7 years ago
- [CVPR 2017] Official Implementation for AIFT☆93Updated 3 years ago