Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
☆17Jan 12, 2024Updated 2 years ago
Alternatives and similar repositories for bayesian-tda
Users that are interested in bayesian-tda are comparing it to the libraries listed below
Sorting:
- A simple and efficient baseline for data attribution☆11Nov 10, 2023Updated 2 years ago
- ☆18Jul 24, 2023Updated 2 years ago
- All-in-one repository for Fine-tuning & Pretraining (Large) Language Models☆15Mar 8, 2023Updated 3 years ago
- Find the samples, in the test data, on which your (generative) model makes mistakes.☆30Oct 16, 2024Updated last year
- 📚📚📚📚📚📚📚📚📚 Reading everything☆15Mar 11, 2026Updated last week
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆23May 17, 2024Updated last year
- ☆19Jul 24, 2023Updated 2 years ago
- [EMNLP 2023] Official repository for Dialogue Chain-of-Thought Distillation (DONUT & DOCTOR)☆11Nov 15, 2023Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97May 25, 2023Updated 2 years ago
- Official PyTorch implementation for "Understanding Instance-based Interpretability of Variational Auto-Encoders."☆13Oct 21, 2021Updated 4 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆232Nov 18, 2024Updated last year
- Source codes of Learning Causal Representations for Robust Domain Adaptation (IEEE TKDE)☆12Feb 14, 2022Updated 4 years ago
- This is the official repository for the ICLR 2023 paper Causal Balancing for Domain Generalization☆13May 17, 2023Updated 2 years ago
- Contribution Measurement Experiment for Federated Learning☆10Jul 20, 2022Updated 3 years ago
- [ICCV 2025] Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?☆23Sep 16, 2025Updated 6 months ago
- Recycling diverse models☆46Jan 18, 2023Updated 3 years ago
- ☆20Jun 1, 2022Updated 3 years ago
- Masked Autoencoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data☆37Jan 5, 2026Updated 2 months ago
- ☆32May 24, 2023Updated 2 years ago
- ☆21Nov 7, 2022Updated 3 years ago
- ☆11Jul 25, 2023Updated 2 years ago
- ☆51Jan 24, 2024Updated 2 years ago
- Efficient approximation algorithms for Shapley Values in Horizontal Enterprise Federated Learning☆13May 5, 2020Updated 5 years ago
- This is AlpaGasus2-QLoRA based on LLaMA2 with AlpaGasus mechanism using QLoRA!☆15Nov 22, 2023Updated 2 years ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆81Oct 3, 2024Updated last year
- [KDD'23] This is the code repo for our KDD'23 paper "DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling".☆11Jun 14, 2023Updated 2 years ago
- Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"☆13Jul 13, 2020Updated 5 years ago
- The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors☆16Mar 31, 2025Updated 11 months ago
- Code for our paper 'Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion' published on ECCV 2022☆11Jul 27, 2022Updated 3 years ago
- Very concise example of integrated gradients (a method to reveal areas of attention in input images)☆10Jun 17, 2019Updated 6 years ago
- Control theory in Haskell: Data structures, algorithms and adapters☆79Jan 14, 2019Updated 7 years ago
- MTEB: Massive Text Embedding Benchmark☆11Jan 29, 2024Updated 2 years ago
- Deep Learning Scaling tutorial material for the Deep Learning for Science School at Berkeley Lab☆10Jul 19, 2019Updated 6 years ago
- Pruning is all you need (hopefully)☆12Sep 7, 2022Updated 3 years ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆118Mar 13, 2026Updated last week
- Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification☆10May 31, 2022Updated 3 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Sep 9, 2024Updated last year
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Jul 4, 2022Updated 3 years ago
- Source code of "Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers" EMNLP 2025☆17Jan 12, 2026Updated 2 months ago