malena1906 / Pruning-Weights-with-Biobjective-Optimization-KerasLinks
Overparameterization and overfitting are common concerns when designing and training deep neural networks. Network pruning is an effective strategy used to reduce or limit the network complexity, but often suffers from time and computational intensive procedures to identify the most important connections and best performing hyperparameters. We s…
☆8Updated 4 years ago
Alternatives and similar repositories for Pruning-Weights-with-Biobjective-Optimization-Keras
Users that are interested in Pruning-Weights-with-Biobjective-Optimization-Keras are comparing it to the libraries listed below
Sorting:
- "Gaussian RAM: Lightweight Image Classification via Stochastic Retina Inspired Glimpse and Reinforcement Learning" (ICCAS 2020)☆16Updated 3 years ago
- source code for MvBLS paper☆11Updated 4 years ago
- 演化计算/多任务优化/迁移优化☆15Updated 3 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆27Updated 3 years ago
- Implementation of the Adaptive Resonance Theory (ART) architectures - Fuzzy ART and Fuzzy ARTMAP - for pattern recognition☆11Updated 6 years ago
- Multi-view Broad Learning Systerm☆10Updated 3 years ago
- 宽度学习 Broad Learning System MATLAB 代码 / 寬度學習Broad Learning System MATLAB代碼（1）：MNIST實踐☆15Updated 6 years ago
- Multi-objective reinforcement learning for covid-19 control☆11Updated 3 years ago
- [ICML 2021] "Selfish Sparse RNN Training" by Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy☆10Updated 3 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- ☆12Updated 2 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆14Updated 2 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Updated 4 years ago
- Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. …☆13Updated 3 years ago
- Improving D-S Evidence Theory C Language and Python Implementation Based on Trust Discount/基于信任折扣的改进D-S证据理论 C语言和Python实现☆19Updated 4 years ago
- An implementation of five reinforcement learning algorithms to simulate macro actions for the HFO problem.☆9Updated 5 years ago
- Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)☆18Updated 3 years ago
- using decon to generate feature,then use bls to classfy☆8Updated 6 years ago
- [NeurIPS2022] Where to Pay Attention in Sparse Training for Feature Selection?☆12Updated 2 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Updated 5 years ago
- Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]☆18Updated 6 months ago
- ☆11Updated 4 years ago
- ☆13Updated last year
- Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.☆14Updated 7 years ago
- ☆11Updated 3 years ago
- A mean-shift clustering implementation for MATLAB/Octave☆19Updated 2 years ago
- A pytorch implementation of DVIB(Deep Variational Information Bottleneck)☆9Updated 6 years ago
- Categorical Variational Auto-encoders in PyTorch☆21Updated 3 years ago
- Official implementation of Auxiliary learning as an Bargaining Game.☆32Updated last year