Compressing Neural Networks using the Variational Information Bottleneck
☆66Aug 3, 2022Updated 3 years ago
Alternatives and similar repositories for VIBNet
Users that are interested in VIBNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆96Jan 25, 2022Updated 4 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆213Mar 22, 2018Updated 8 years ago
- Variational Information Bottleneck☆16Nov 26, 2018Updated 7 years ago
- Theory and PyTorch implementation of Deep Variational Information Bottleneck☆35Jul 17, 2020Updated 5 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Jan 5, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆15Jan 8, 2020Updated 6 years ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆43May 10, 2021Updated 5 years ago
- Official implementation of the ICML 2020 paper "PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions".☆14Jun 2, 2021Updated 5 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆47Oct 29, 2022Updated 3 years ago
- ☆157Apr 20, 2020Updated 6 years ago
- Implementation of Information Dropout☆39Jul 12, 2017Updated 8 years ago
- Deep Variational Information Bottleneck (DVIB) in PyTorch.☆10Apr 25, 2020Updated 6 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Jun 19, 2017Updated 8 years ago
- PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).☆15Oct 23, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 4 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Dec 8, 2022Updated 3 years ago
- demonstration of the information bottleneck theory for deep learning☆69Oct 21, 2017Updated 8 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Nov 23, 2020Updated 5 years ago
- Code for LIT, ICML 2019☆22Jun 11, 2019Updated 7 years ago
- mixed membership stochastic block model☆13Jun 8, 2016Updated 10 years ago
- Reinforcement learning for clustering in Ginkgo☆14Mar 29, 2021Updated 5 years ago
- Implementation of Multi-View Information Bottleneck☆139May 27, 2020Updated 6 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Structured Bayesian Pruning, NIPS 2017☆73Jul 10, 2020Updated 5 years ago
- PyTorch Implementation of MIMO (ICLR 2021)☆16Dec 16, 2022Updated 3 years ago
- ☆27Feb 25, 2021Updated 5 years ago
- A pytorch implement of scalable neural netowrks.☆23Jun 9, 2020Updated 6 years ago
- ☆30Feb 27, 2019Updated 7 years ago
- ICS: Introduction to Computer Systems☆15Sep 18, 2019Updated 6 years ago
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆28Aug 19, 2021Updated 4 years ago
- Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.☆30Jan 31, 2020Updated 6 years ago
- Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"☆25Jul 9, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆18May 7, 2019Updated 7 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Oct 21, 2022Updated 3 years ago
- Deep Learning & Information Bottleneck☆64Jun 30, 2023Updated 2 years ago
- Structured Pruning Adapters in PyTorch☆19Aug 30, 2023Updated 2 years ago
- ☆20May 28, 2019Updated 7 years ago
- UTS Person-reID Practical By Zhedong Zheng☆18Sep 6, 2018Updated 7 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Nov 16, 2020Updated 5 years ago