JohnLaMaster / Impartial-Multi-Task-LearningLinks
PyTorch implementation of "Towards Impartial Multi-Task Learning"
☆13Updated last year
Alternatives and similar repositories for Impartial-Multi-Task-Learning
Users that are interested in Impartial-Multi-Task-Learning are comparing it to the libraries listed below
Sorting:
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆236Updated 7 months ago
- An up-to-date list of works on Multi-Task Learning☆376Updated 3 months ago
- The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"☆21Updated last year
- Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆531Updated last year
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆116Updated last year
- [ICLR 24 Oral/Outstanding Paper Honorable Mention Award 🎉]☆39Updated last year
- Official code implementation for the paper "Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm" (CVPR…☆56Updated 9 months ago
- ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization☆438Updated 4 years ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Updated 2 years ago
- [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation☆305Updated last year
- [UAI 2023] Improvable Gap Balancing for Multi-Task Learning☆16Updated 2 years ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆198Updated 2 years ago
- Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025☆40Updated 11 months ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆144Updated 2 years ago
- Code for the paper Visual Explanations of Image–Text Representations via Multi-Modal Information Bottleneck Attribution☆64Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆90Updated last year
- [NeurIPS 2023] Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm☆13Updated 2 years ago
- A paper list of our recent survey on continual learning, and other useful resources in this field.☆102Updated last year
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆49Updated 2 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆394Updated 4 years ago
- Code for coreset selection methods☆254Updated 2 years ago
- Low rank adaptation for Vision Transformer☆431Updated last year
- Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision☆11Updated last year
- [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition☆91Updated last year
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆96Updated last year
- A curated publication list on evidential deep learning.☆164Updated 9 months ago
- A repository and benchmark for online test-time adaptation.☆268Updated 8 months ago
- [NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"☆12Updated last year
- [ECCV 2022 Oral] AutoMix: Unveiling the Power of Mixup for Stronger Classifiers☆18Updated 2 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆52Updated 2 years ago