serdarozsoy / corinfomax-ssl
PyTorch implementation of CorInfoMax
☆21Updated last year
Related projects ⓘ
Alternatives and complementary repositories for corinfomax-ssl
- ☆63Updated 2 years ago
- ☆81Updated 3 months ago
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Updated last year
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆64Updated last year
- ☆31Updated 7 months ago
- ☆25Updated 3 years ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆43Updated 5 months ago
- ☆21Updated last year
- ☆44Updated 2 years ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆62Updated last year
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last year
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆59Updated 2 years ago
- ☆29Updated 2 years ago
- This is the public github for our paper "Transformer with a Mixture of Gaussian Keys"☆26Updated 2 years ago
- LISA for ICML 2022☆47Updated last year
- Official Implementation of "Geometric Multimodal Contrastive Representation Learning" (https://arxiv.org/abs/2202.03390)☆26Updated 2 years ago
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆23Updated last year
- Command-line tool for downloading and extending the RedCaps dataset.☆45Updated 10 months ago
- [ICML 2022] This is the pytorch implementation of "Rethinking Attention-Model Explainability through Faithfulness Violation Test" (https:…☆18Updated 2 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆106Updated 3 years ago
- Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"☆28Updated last month
- Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models☆32Updated 2 months ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 2 years ago
- ☆15Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆29Updated last year
- [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy☆60Updated 11 months ago
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆36Updated 6 months ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆38Updated 3 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 2 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 2 years ago