Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
☆64Apr 14, 2021Updated 5 years ago
Alternatives and similar repositories for Influence_Subsampling
Users that are interested in Influence_Subsampling are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆348Oct 29, 2023Updated 2 years ago
- ☆64Apr 25, 2020Updated 6 years ago
- Findings of EMNLP'22 | Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision☆27Apr 11, 2024Updated 2 years ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Jan 12, 2024Updated 2 years ago
- Locally Valid and Discriminative Prediction Intervals for Deep Learning Models☆13May 22, 2023Updated 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.
- This is the project for IRM methods☆12Sep 13, 2021Updated 4 years ago
- ☆51Mar 24, 2023Updated 3 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18May 31, 2023Updated 3 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆39Nov 20, 2020Updated 5 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆45Nov 10, 2022Updated 3 years ago
- ☆66Jan 13, 2022Updated 4 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Apr 1, 2020Updated 6 years ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆82Oct 3, 2024Updated last year
- The code to reproduce CVPR 2021 paper "Towards Robust Classification Model by Counterfactual and Invariant Data Generation"☆16Jul 29, 2021Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆21Feb 21, 2022Updated 4 years ago
- A GAN demo project☆13Jan 2, 2020Updated 6 years ago
- Python codes for influential instance estimation☆56Dec 12, 2022Updated 3 years ago
- Tiny Tutorial on https://arxiv.org/abs/1703.04730☆14Nov 19, 2019Updated 6 years ago
- Improving the Fairness of Chest X-ray Classifiers☆14Mar 24, 2022Updated 4 years ago
- The code for paper "Diversifying Dialog Generation via Adaptive Label Smoothing" in ACL 2021.☆26Jun 7, 2021Updated 5 years ago
- [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…☆24Aug 2, 2025Updated last year
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆32Mar 24, 2023Updated 3 years ago
- Implementation of Adversarial Debiasing in PyTorch to address Gender Bias☆31Aug 5, 2020Updated 6 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.
- A simple PyTorch implementation of influence functions.☆96Jun 17, 2024Updated 2 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆28May 27, 2025Updated last year
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Dec 10, 2020Updated 5 years ago
- PyTorch implementation of delayed-feedback-model (DFM)☆16Feb 7, 2022Updated 4 years ago
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆216Mar 13, 2025Updated last year
- Code for ICLR 2019 paper "Efficient Augmentation via Data Subsampling"☆15Feb 20, 2019Updated 7 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆54Jun 5, 2024Updated 2 years ago
- Benchmarking LLMs and Agents in Rigorous Financial Analysis and Forecast☆28Updated this week
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆82Jan 23, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environmen…☆29Dec 10, 2023Updated 2 years ago
- ☆23Jul 19, 2021Updated 5 years ago
- Repository for Transfer Learning using Deep CNNs trained with synthetic images☆16Jun 21, 2017Updated 9 years ago
- Understanding Self-Supervised Learning in a non-IID Setting☆21Oct 21, 2022Updated 3 years ago
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Nov 18, 2020Updated 5 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Jan 10, 2021Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Jan 10, 2021Updated 5 years ago