stanford-futuredata / selection-via-proxyView external linksLinks
☆96Jan 14, 2021Updated 5 years ago
Alternatives and similar repositories for selection-via-proxy
Users that are interested in selection-via-proxy are comparing it to the libraries listed below
Sorting:
- Early exit ensembles☆12Dec 4, 2021Updated 4 years ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Dec 30, 2021Updated 4 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆28Feb 6, 2020Updated 6 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆277Oct 23, 2018Updated 7 years ago
- [NAACL 2022] "Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training", Yuanxin Liu, Fandong Meng, Zheng Lin, Pe…☆15Oct 18, 2022Updated 3 years ago
- ☆20Nov 20, 2020Updated 5 years ago
- [Ongoing Project] Codebase for network quantization study.☆12May 20, 2020Updated 5 years ago
- This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".☆12Jan 30, 2021Updated 5 years ago
- ☆10Mar 14, 2021Updated 4 years ago
- Code for "Are labels necessary for neural architecture search"☆92Mar 20, 2024Updated last year
- Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)☆28Feb 26, 2021Updated 4 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆345May 24, 2023Updated 2 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Feb 22, 2018Updated 7 years ago
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Oct 13, 2020Updated 5 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 4 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Apr 24, 2023Updated 2 years ago
- ☆58Jun 18, 2021Updated 4 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Feb 11, 2023Updated 3 years ago
- Kernel Herding for probability density estimation☆14Feb 23, 2016Updated 9 years ago
- [ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Infer…☆15Feb 16, 2022Updated 4 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 5 years ago
- Graph Knowledge Distillation☆13Mar 6, 2020Updated 5 years ago
- ☆15Jul 29, 2023Updated 2 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆14Apr 25, 2019Updated 6 years ago
- ☆13Jan 8, 2020Updated 6 years ago
- Encodings for neural architecture search☆29Apr 5, 2021Updated 4 years ago
- Meta Representation Transformation for Low-resource Cross-lingual Learning☆41May 5, 2021Updated 4 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Jul 25, 2024Updated last year
- Python implementation for paper: Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples☆11Jun 12, 2018Updated 7 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Jan 5, 2021Updated 5 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Jan 3, 2022Updated 4 years ago
- Out-of-distribution generalization benchmarks for image recognition models☆14Apr 5, 2020Updated 5 years ago
- The code for Joint Neural Architecture Search and Quantization☆14Apr 10, 2019Updated 6 years ago
- ☆178Jul 25, 2024Updated last year
- ☆31Mar 24, 2023Updated 2 years ago
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆32Oct 25, 2020Updated 5 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Sep 6, 2021Updated 4 years ago
- Code for the ACL 2022 paper "Contextual Representation Learning beyond Masked Language Modeling"☆33Oct 23, 2022Updated 3 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Oct 25, 2019Updated 6 years ago