jh-jeong / selective-convolutionLinks
Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)
☆25Updated 6 years ago
Alternatives and similar repositories for selective-convolution
Users that are interested in selective-convolution are comparing it to the libraries listed below
Sorting:
- ☆48Updated 5 years ago
- ☆21Updated 5 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆21Updated 4 years ago
- ☆15Updated 3 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆49Updated last year
- ☆51Updated 5 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆43Updated 4 years ago
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆33Updated 4 years ago
- Cheap distillation for convolutional neural networks.☆33Updated 6 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 3 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 5 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Updated 2 years ago
- Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)☆29Updated 4 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- released code for the paper: ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding☆31Updated 4 years ago
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆25Updated 4 years ago
- The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆26Updated 3 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 2 years ago
- code for CVPR paper "Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning"☆27Updated 2 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Updated 5 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 5 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆41Updated 3 years ago
- "Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yu…☆26Updated last year
- ☆20Updated 2 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago