davidpicard / deepseed
☆27Updated 3 years ago
Related projects: ⓘ
- C-Mixup for NeurIPS 2022☆62Updated 9 months ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 2 years ago
- PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes☆42Updated 4 months ago
- State Space Models☆55Updated 4 months ago
- ResMLP: Feedforward networks for image classification with data-efficient training☆38Updated 3 years ago
- [NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions☆52Updated 8 months ago
- [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy☆55Updated 10 months ago
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆42Updated 4 months ago
- ☆31Updated 5 months ago
- Repository containing code for blockwise SSL training☆27Updated last year
- ☆55Updated 7 months ago
- ☆24Updated 2 years ago
- Implementation of the Gumbel-Sigmoid distribution in PyTorch.☆14Updated 2 years ago
- PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022)☆37Updated 2 years ago
- Denoising Masked Autoencoders Help Robust Classification.☆57Updated last year
- [CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders☆71Updated 7 months ago
- Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆28Updated last year
- PyTorch implementation of FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence☆10Updated 3 years ago
- PyTorch implementation of "Brain Decodes Deep Nets"☆50Updated 7 months ago
- Fast, Simple and Easy to use SOTA Self-Supervised Image Classification Models in PyTorch☆14Updated 3 years ago
- Official Code for ICML 2023 Data-Efficient Contrastive Self-supervised Learning☆29Updated 5 months ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆33Updated last year
- A Contrastive Learning Boost from Intermediate Pre-Trained Representations☆34Updated last week
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆32Updated last year
- PyTorch implementation of "From Sparse to Soft Mixtures of Experts"☆38Updated last year
- Figures I made during my PhD in Deep Learning, for my models and for context☆69Updated 3 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆74Updated 5 months ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"