☆21Oct 23, 2024Updated last year
Alternatives and similar repositories for PFL-DocVQA-Competition
Users that are interested in PFL-DocVQA-Competition are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated 2 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Jun 12, 2023Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 3 years ago
- ☆12Jun 2, 2023Updated 2 years ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Aug 2, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for "Approaching Deep Learning through the Spectral Dynamics of Weights"☆13Oct 30, 2024Updated last year
- The code for our Updates-Leak paper☆17Jul 23, 2020Updated 5 years ago
- Learning rate adaptation for differentially private stochastic gradient descent☆18Apr 23, 2021Updated 4 years ago
- Code for lin-RFM used for sparse recovery tasks☆16Mar 13, 2025Updated last year
- Test equality between a black-box LLM API and a reference distribution☆13Oct 29, 2024Updated last year
- On uncertainty estimation in active learning for image segmentation☆12Nov 19, 2020Updated 5 years ago
- ☆15Jul 24, 2022Updated 3 years ago
- (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code☆16Jul 27, 2023Updated 2 years ago
- ☆14Oct 17, 2024Updated last year
- 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.
- Corresponding code to "Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features" @ USENIX Secur…☆11Aug 5, 2019Updated 6 years ago
- ☆18Jun 9, 2021Updated 4 years ago
- This is where I write RL related stuff from scratch☆10Dec 15, 2019Updated 6 years ago
- Corresponding code to "FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems" @ CVPR 2021☆13Jun 22, 2021Updated 4 years ago
- ☆19Feb 19, 2024Updated 2 years ago
- Code for verifying deep neural feature ansatz☆22May 3, 2023Updated 2 years ago
- Open Source Replication of Anthropic's Alignment Faking Paper☆56Apr 4, 2025Updated last year
- ☆14Jun 6, 2023Updated 2 years ago
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆22Apr 22, 2024Updated last year
- LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)☆29May 26, 2025Updated 10 months ago
- A very limited implementation of arXiv:1904.00759☆13Dec 2, 2019Updated 6 years ago
- Boostcamp AI Tech 3rd / Basic Paper reading w.r.t Embedding☆13Jun 1, 2022Updated 3 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆42Jan 21, 2024Updated 2 years ago
- Procedural Image Programs for Representation Learning - NeurIPS 2022☆41Feb 4, 2026Updated 2 months ago
- Code for steering and monitoring with concepts vectors in LLMs. https://arxiv.org/abs/2502.03708☆29Aug 10, 2025Updated 8 months ago
- [ICML 2025] Official Repo for Stability-guided Adaptive Diffusion Acceleration. 🚀🌙Accelerating off-the-shelf diffusion model with a uni…☆40Jul 24, 2025Updated 8 months ago
- ☆34Jul 8, 2025Updated 9 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆15Feb 12, 2019Updated 7 years ago
- This project shows how to derive the total number of training tokens from a large text dataset from 🤗 datasets with Apache Beam and Data…☆27Oct 20, 2022Updated 3 years ago
- ☆23Aug 20, 2018Updated 7 years ago
- ☆21Nov 16, 2018Updated 7 years ago
- Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓☆18Oct 10, 2024Updated last year
- ☆36Feb 8, 2026Updated 2 months ago
- SGD with large step sizes learns sparse features [ICML 2023]☆33Apr 24, 2023Updated 2 years ago