decile-team / submodlib
Summarize Massive Datasets using Submodular Optimization
☆93Updated last month
Alternatives and similar repositories for submodlib:
Users that are interested in submodlib are comparing it to the libraries listed below
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆147Updated 2 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆52Updated last year
- Data-efficient Training of Machine Learning Models☆62Updated 4 years ago
- ☆105Updated last year
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated 2 years ago
- Reusable BatchBALD implementation☆78Updated last year
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆55Updated 2 years ago
- ☆65Updated 7 months ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆74Updated last year
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- ☆87Updated last year
- Official Pytorch's implementation of RotoGrad☆72Updated last year
- Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis☆14Updated 2 years ago
- Awesome coreset/core-set/subset/sample selection works.☆173Updated 8 months ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆85Updated last year
- Conformal Language Modeling☆28Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆82Updated this week
- ☆42Updated 4 months ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆149Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆62Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆95Updated last month
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆18Updated last year
- Code release for the paper Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning☆29Updated 2 years ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆65Updated last month
- ☆62Updated 3 years ago
- ☆44Updated 2 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆71Updated 2 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated last year
- A fast, effective data attribution method for neural networks in PyTorch☆201Updated 3 months ago