decile-team / submodlib
Summarize Massive Datasets using Submodular Optimization
☆87Updated last month
Related projects ⓘ
Alternatives and complementary repositories for submodlib
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆142Updated last year
- A simple PyTorch implementation of influence functions.☆79Updated 4 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆61Updated 8 months ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated last year
- A fast, effective data attribution method for neural networks in PyTorch☆176Updated last month
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆81Updated last year
- ☆84Updated last year
- ☆48Updated last year
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆47Updated last year
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆53Updated 2 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆70Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆160Updated 4 months ago
- Data-efficient Training of Machine Learning Models☆61Updated 3 years ago
- Regularized Learning under label shifts☆18Updated 5 years ago
- ☆14Updated 8 months ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆146Updated last year
- A supplementary code for Editable Neural Networks, an ICLR 2020 submission.☆46Updated 4 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated last year
- awesome confidence calibration paper list☆20Updated 3 years ago
- ☆21Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆81Updated 2 weeks ago
- ☆59Updated 2 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- Distributionally robust neural networks for group shifts☆245Updated last year
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆94Updated 11 months ago
- ☆65Updated 3 months ago
- How certain is your transformer?☆25Updated 3 years ago
- ☆61Updated 3 years ago
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆14Updated 3 weeks ago
- Code for the paper "Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documentss"☆10Updated last month