LUMIA-Group / APL
The official implementation of the paper "Asymmetric Polynomial Loss for Multi-Label Classification"(ICASSP 2023)
☆20Updated last year
Alternatives and similar repositories for APL:
Users that are interested in APL are comparing it to the libraries listed below
- [ICCVW2023] Robust Asymmetric Loss for Multi-Label Long-Tailed Learning☆18Updated last year
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆24Updated 2 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 3 years ago
- ☆12Updated last year
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆40Updated 11 months ago
- This is the official code for paper: Token Summarisation for Efficient Vision Transformers via Graph-based Token Propagation☆27Updated last year
- Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".☆16Updated 3 years ago
- ☆10Updated 10 months ago
- MultiModN – Multimodal, Multi-Task, Interpretable Modular Networks (NeurIPS 2023)☆31Updated last year
- [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"☆36Updated 4 months ago
- ☆35Updated last year
- [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"☆12Updated 9 months ago
- ☆18Updated 11 months ago
- ☆17Updated 10 months ago
- ☆19Updated 3 years ago
- [WACV2023] This is the official PyTorch impelementation of our paper "[Rethinking Rotation in Self-Supervised Contrastive Learning: Adapt…☆12Updated 2 years ago
- [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization☆29Updated 5 months ago
- Official implementation of "Continual Learning by Modeling Intra-Class Variation" (MOCA). [TMLR 2023]☆16Updated 2 years ago
- ☆48Updated 11 months ago
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆17Updated 2 years ago
- Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022☆15Updated 2 years ago
- A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series…☆27Updated 4 months ago
- Mixture of Attention Heads☆43Updated 2 years ago
- ☆16Updated 2 years ago
- Official pytorch implementation of NeurIPS 2022 paper, TokenMixup☆48Updated 2 years ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year
- Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".☆44Updated 3 years ago
- ☆26Updated 3 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- A pytorch implementation of DVIB(Deep Variational Information Bottleneck)☆9Updated 6 years ago