otiliastr / coarse-to-fine-curriculum
Coarse-to-Fine Curriculum Learning
☆21Updated 4 years ago
Alternatives and similar repositories for coarse-to-fine-curriculum:
Users that are interested in coarse-to-fine-curriculum are comparing it to the libraries listed below
- Adjust Decision Boundary for Class Imbalanced Learning☆19Updated 4 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated last year
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Shared Attention for Multi-label Zero-shot Learning accepted @ CVPR20☆32Updated 3 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆42Updated 4 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 3 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆21Updated 3 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method☆24Updated 4 years ago
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Updated 5 years ago
- ☆38Updated 2 years ago
- PyTorch code for the paper "CrossTransformers: spatially-aware few-shot transfer"☆22Updated 4 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆23Updated 2 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆96Updated last year
- [TPAMI 2023] Generative Multi-Label Zero-Shot Learning☆50Updated last year
- Learning Cross-modal Retrieval with Noisy Labels (CVPR 2021, PyTorch Code)☆13Updated 3 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Interactive Multi-Label CNN Learning with Partial Labels @ CVPR20☆20Updated 3 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆47Updated last year
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 4 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 3 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- Class Normalization for Continual Zero-Shot Learning☆34Updated 3 years ago
- Domain Adaptation paper in various applications☆22Updated 4 years ago
- The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".☆16Updated 4 years ago
- ☆34Updated 6 years ago
- ☆31Updated 3 years ago