autonlab / aqua
AQuA: A Benchmarking Tool for Label Quality Assessment
☆21Updated last year
Alternatives and similar repositories for aqua
Users that are interested in aqua are comparing it to the libraries listed below
Sorting:
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- ☆43Updated 6 months ago
- Towards Understanding the Mixture-of-Experts Layer in Deep Learning☆29Updated last year
- ☆10Updated 8 months ago
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Updated last year
- Official repo of Progressive Data Expansion: data, code and evaluation☆29Updated last year
- Recycling diverse models☆44Updated 2 years ago
- Research on Tabular Foundation Models☆49Updated 5 months ago
- Official PyTorch Implementation for Meaning Representations from Trajectories in Autoregressive Models (ICLR 2024)☆20Updated last year
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆30Updated 3 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆35Updated 6 months ago
- Tasks for describing differences between text distributions.☆16Updated 9 months ago
- Data Benchmarking☆19Updated 11 months ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- Extending Conformal Prediction to LLMs☆66Updated 10 months ago
- Personal implementation of ASIF by Antonio Norelli☆25Updated 11 months ago
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆26Updated 6 months ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆18Updated last year
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆16Updated 2 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- Debiasing Through Data Attribution☆11Updated 11 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆66Updated 2 years ago
- ☆29Updated last year
- Code for paper: Are Large Language Models Post Hoc Explainers?☆31Updated 9 months ago
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 3 months ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆28Updated last year
- ☆19Updated 10 months ago
- ☆35Updated last year
- ☆24Updated last year
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆54Updated 5 months ago