lolemacs / soft-sharing
Implementation of soft parameter sharing for neural networks
☆69Updated 4 years ago
Alternatives and similar repositories for soft-sharing:
Users that are interested in soft-sharing are comparing it to the libraries listed below
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆70Updated 7 years ago
- Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)☆18Updated 4 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆65Updated 2 years ago
- A machine learning library for PyTorch☆92Updated 2 years ago
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆36Updated 7 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆115Updated 5 years ago
- An implementation of shampoo☆74Updated 7 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆118Updated last year
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- Code for reproducing results of the paper "Layer rotation: a surprisingly powerful indicator of generalization in deep networks?"☆50Updated 5 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 3 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- PyTorch code for training neural networks without global back-propagation☆164Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆86Updated 4 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- Pytorch implementation of SNAS☆75Updated 6 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 5 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- Cheap distillation for convolutional neural networks.☆33Updated 6 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆90Updated 4 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago