☆17Dec 11, 2022Updated 3 years ago
Alternatives and similar repositories for LPF-SGD
Users that are interested in LPF-SGD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [TMLR 2024] Revisiting Random Weight Perturbation for Efficiently Improving Generalization☆12Oct 18, 2024Updated last year
- ☆22Jan 23, 2024Updated 2 years ago
- ☆11Dec 8, 2022Updated 3 years ago
- Code for AAAI 2024 paper: CR-SAM: Curvature Regularized Sharpness-Aware Minimization☆12Nov 29, 2024Updated last year
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Jan 13, 2023Updated 3 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.
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆29Sep 22, 2023Updated 2 years ago
- ☆34Jan 25, 2024Updated 2 years ago
- Ph.D. thesis template based on the design guidelines of New York University - Tandon School of Engineering☆12Aug 21, 2018Updated 7 years ago
- gradient norm penalty☆42Jun 17, 2024Updated 2 years ago
- ☆35Dec 5, 2022Updated 3 years ago
- One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)☆14Sep 28, 2025Updated 9 months ago
- [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces☆42Jun 29, 2022Updated 4 years ago
- Single shot neural network pruning before training the model, based on connection sensitivity☆11Aug 7, 2019Updated 6 years ago
- Code to reproduce the experiments of the ICLR24-paper: "Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"☆12Oct 14, 2025Updated 8 months 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.
- Code for LLM_Catastrophic_Forgetting via SAM.☆11Jun 7, 2024Updated 2 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆31Oct 31, 2024Updated last year
- [CVPR 2024 Highlight] - Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacement…☆13Oct 21, 2024Updated last year
- ☆12Mar 16, 2022Updated 4 years ago
- An example showing how to use jax to train resnet50 on multi-node multi-GPU☆20Jul 4, 2022Updated 3 years ago
- ☆28Updated this week
- ☆13Dec 17, 2021Updated 4 years ago
- Official repository for ICCV 2023: Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class☆13Oct 16, 2023Updated 2 years ago
- Spectral Tensor Train Parameterization of Deep Learning Layers☆17Jul 1, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of the paper "Fair Clustering Through Fairlets" by Chierichetti et al. (NIPS 2017)☆11Nov 29, 2019Updated 6 years ago
- PyTorch Code for the Paper: "Exploiting Uncertainty of Loss Landscape for Stochastic Optimization [Bhaskara et al. (2019)]☆16Apr 30, 2026Updated 2 months ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆16Feb 15, 2022Updated 4 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Nov 21, 2018Updated 7 years ago
- [PACT'24] GraNNDis. A fast and unified distributed graph neural network (GNN) training framework for both full-batch (full-graph) and min…☆10Aug 13, 2024Updated last year
- ☆16May 14, 2025Updated last year
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Aug 6, 2018Updated 7 years ago
- Quantization in the Jagged Loss Landscape of Vision Transformers☆13Oct 22, 2023Updated 2 years ago
- This framework implements key experiments on the sparse double descent phenomenon (ICML 2022).☆15Dec 13, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"☆19May 14, 2019Updated 7 years ago
- ☆15May 8, 2025Updated last year
- ☆14Aug 28, 2019Updated 6 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆26Jul 21, 2023Updated 2 years ago
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [ICLR 2025]☆30Feb 20, 2026Updated 4 months ago
- Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training i…☆18Mar 18, 2024Updated 2 years ago
- Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.☆19Nov 13, 2024Updated last year