Loading the SOTA2 catalog…
SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2021 |
| arxiv 2103.12719 |
| Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision | Vamshi K. Kancharala, Debanjali Bhattacharya, Neelam Sinha | 2023 | arxiv 2309.03590 |
|---|
| Dep-$L_0$: Improving $L_0$-based Network Sparsification via Dependency Modeling | Yang Li, Shihao Ji | 2021 | arxiv 2107.00070 |
|---|
| A simple, efficient and scalable contrastive masked autoencoder for learning visual representations | Shlok Mishra, Joshua Robinson, Huiwen Chang | 2022 | arxiv 2210.16870 |
|---|
| GenAttack: Practical Black-box Attacks with Gradient-Free Optimization | Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty | 2018 | arxiv 1805.11090 |
|---|
| Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images | Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather | 2023 | arxiv 2308.07688 |
|---|
| Effective pruning of web-scale datasets based on complexity of concept clusters | Amro Abbas, Evgenia Rusak, Kushal Tirumala | 2024 | arxiv 2401.04578 |
|---|
| Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures | Avi Deb Raha, Apurba Adhikary, Mrityunjoy Gain | 2024 | arxiv 2409.13527 |
|---|
| Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy | Yangsibo Huang, Daogao Liu, Lynn Chua | 2024 | arxiv 2410.09591 |
|---|
| Speeding Up Image Classifiers with Little Companions | Yang Liu, Kowshik Thopalli, Jayaraman Thiagarajan | 2024 | arxiv 2406.17117 |
|---|
| DataDAM: Efficient Dataset Distillation with Attention Matching | Ahmad Sajedi, Samir Khaki, Ehsan Amjadian | 2023 | arxiv 2310.00093 |
|---|