billhhh / Non-convex-NotesLinks
Notes for Non-convex optimisation
☆10Updated 5 years ago
Alternatives and similar repositories for Non-convex-Notes
Users that are interested in Non-convex-Notes are comparing it to the libraries listed below
Sorting:
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 5 years ago
- ☆18Updated 6 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 3 years ago
- ☆13Updated last year
- ☆10Updated 4 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆17Updated 5 years ago
- ☆44Updated 5 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated 2 years ago
- A holistic framework for promoting high diversity ensemble learning.☆14Updated last year
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆12Updated last year
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆29Updated 3 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Updated 6 years ago
- Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19☆29Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆19Updated 4 years ago
- ☆42Updated 5 years ago
- Self-Supervised Domain Adaptation with Consistency Training☆19Updated 5 years ago
- PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"☆59Updated 5 years ago
- ☆20Updated 4 years ago
- Generator loss to reduce mode-collapse and to improve the generated samples quality.☆33Updated 6 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Updated 6 years ago
- A general method for training cost-sensitive robust classifier☆22Updated 6 years ago
- ☆35Updated 4 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- ☆42Updated 6 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Updated 4 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 5 years ago
- Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters☆30Updated 5 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆15Updated 6 years ago