wchliao / multi-task-machine-learning-papers
A list of multi-task machine learning papers.
☆37Updated 6 years ago
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- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…☆63Updated 5 years ago
- 人工智能和机器学习领域的国际顶级会议NeurIPS论文收集☆100Updated 5 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 4 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 5 years ago
- Pytorch implementation of SNAS☆75Updated 6 years ago
- [ICLR'19] Complement Objective Training☆76Updated 6 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆173Updated 3 years ago
- ☆37Updated 2 years ago
- https://icml.cc/Conferences/2018/Schedule☆35Updated 6 years ago
- Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code☆32Updated 4 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆55Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆118Updated last year
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆92Updated 2 years ago
- [CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction☆54Updated 5 years ago
- The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".☆102Updated last year
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆70Updated 7 years ago
- Tensorflow Implementation of ChannelNets (NeurIPS 18)☆76Updated 5 years ago
- Papers and Codes about Deep Metric Learning/Deep Embedding☆35Updated 5 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆53Updated 6 years ago
- ☆26Updated 6 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- Implementations of knowledge distillation and knowledge transfer models in neural networks.☆22Updated 5 years ago
- SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.☆51Updated 5 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆118Updated 3 years ago
- Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018☆32Updated 6 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆104Updated 5 years ago
- ☆58Updated last year
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆69Updated 2 years ago