anshuman23 / InfDataSel
Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selection (ICLR 2024 ORAL)
☆22Updated 10 months ago
Alternatives and similar repositories for InfDataSel:
Users that are interested in InfDataSel are comparing it to the libraries listed below
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆61Updated last year
- Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)☆41Updated 11 months ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆16Updated last year
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆35Updated 2 years ago
- ☆33Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆44Updated 2 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 2 years ago
- LISA for ICML 2022☆47Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- ☆28Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated 11 months ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆40Updated 3 years ago
- ☆35Updated last year
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆18Updated last year
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Updated last year
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated 9 months ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆19Updated 2 years ago
- ☆29Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆55Updated last year
- ☆17Updated 3 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆42Updated 5 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated 11 months ago
- ☆25Updated 2 years ago
- ☆27Updated 11 months ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- ☆42Updated 2 years ago