Loading the SOTA2 catalog…
SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| S. Banerjee, J. Harrison, P. M. Furlong |
| 2020 |
| arxiv 2009.10191 |
| Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning | Naren Sengodan | 2024 | arxiv 2410.22392 |
|---|
| TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation | Yuhui Zhang, Dongshen Wu, Yuichiro Wada | 2025 | arxiv 2505.16923 |
|---|
| Certification for Differentially Private Prediction in Gradient-Based Training | Matthew Wicker, Philip Sosnin, Igor Shilov | 2024 | arxiv 2406.13433 |
|---|
| Disentangled representations of microscopy images | Jacopo Dapueto, Vito Paolo Pastore, Nicoletta Noceti | 2025 | arxiv 2506.20649 |
|---|
| Hardware optimization on Android for inference of AI models | Iulius Gherasim, Carlos García Sánchez | 2025 | arxiv 2511.13453 |
|---|
| Efficient and Reliable Overlay Networks for Decentralized Federated Learning | Yifan Hua, Kevin Miller, Andrea L. Bertozzi | 2021 | arxiv 2112.15486 |
|---|
| Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks | Parth Padalkar, Gopal Gupta | 2023 | arxiv 2310.13073 |
|---|
| Pushing the envelope in deep visual recognition for mobile platforms | Lorenzo Alvino | 2017 | arxiv 1710.05982 |
|---|
| Task Guided Compositional Representation Learning for ZDA | Shuang Liu, Mete Ozay | 2021 | arxiv 2109.05934 |
|---|