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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Title | Authors | Year | Source |
|---|---|---|---|
| Understanding the Mechanisms of Deep Transfer Learning for Medical Images | Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani | 2017 | arxiv 1704.06040 |
| Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks | Chelsea Finn, Pieter Abbeel, Sergey Levine | 2017 | arxiv 1703.03400 |
| Image Quality Assessment Guided Deep Neural Networks Training | Zhuo Chen, Weisi Lin, Shiqi Wang | 2017 | arxiv 1708.03880 |
| Positive Semidefinite Metric Learning with Boosting | Chunhua Shen, Junae Kim, Lei Wang | 2009 | arxiv 0910.2279 |
| Lifting Layers: Analysis and Applications | Peter Ochs, Tim Meinhardt, Laura Leal-Taixe | 2018 | arxiv 1803.08660 |
| Understanding deep learning requires rethinking generalization | Chiyuan Zhang, Samy Bengio, Moritz Hardt | 2016 | arxiv 1611.03530 |
| Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes | Mengye Ren, Renjie Liao, Raquel Urtasun | 2016 | arxiv 1611.04520 |
| Learning Layer-wise Equivariances Automatically using Gradients | Tycho F.A. van der Ouderaa, Alexander Immer, Mark van der Wilk | 2023 | arxiv 2310.06131 |
| Towards Evaluating Explanations of Vision Transformers for Medical Imaging | Piotr Komorowski, Hubert Baniecki, Przemys\law Biecek | 2023 | arxiv 2304.06133 |
| HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding | Zhiqiang Gong, Xian Zhou, Wen Yao | 2023 | arxiv 2311.14899 |
| Transferable Candidate Proposal with Bounded Uncertainty |
|---|
| Kyeongryeol Go, Kye-Hyeon Kim |
| 2023 |
| arxiv 2312.04604 |
| Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy | Everton L. Aleixo, Juan G. Colonna, Marco Cristo | 2023 | arxiv 2312.10549 |
|---|
| Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition | Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto | 2023 | arxiv 2305.17939 |
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| Learn What You Need in Personalized Federated Learning | Kexin Lv, Rui Ye, Xiaolin Huang | 2024 | arxiv 2401.08327 |
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| On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations | Euna Jung, Jaekeol Choi, EungGu Yun | 2024 | arxiv 2401.09518 |
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| LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning | Maofa Wang, Bingchen Yan | 2024 | arxiv 2401.13499 |
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| MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning | Zhe Li, Laurence T. Yang, Bocheng Ren | 2024 | arxiv 2402.02045 |
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| SimCS: Simulation for Domain Incremental Online Continual Segmentation | Motasem Alfarra, Zhipeng Cai, Adel Bibi | 2022 | arxiv 2211.16234 |
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| ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification | Vasilis Siomos, Sergio Naval-Marimont, Jonathan Passerat-Palmbach | 2023 | arxiv 2311.14625 |
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| On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning | Paul Scemama, Ariel Kapusta | 2023 | arxiv 2311.12688 |
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