SOTA2 Research · papers

Papers for “image classification”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Search results

20 indexed

Title	Authors	Year	Source
Layer-adaptive sparsity for the Magnitude-based Pruning	Jaeho Lee, Sejun Park, Sangwoo Mo	2020	arxiv 2010.07611
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges	Moloud Abdar, Farhad Pourpanah, Sadiq Hussain	2020	arxiv 2011.06225
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent	Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi	2021	arxiv 2105.14772
Dataset Condensation with Differentiable Siamese Augmentation	Bo Zhao, Hakan Bilen	2021	arxiv 2102.08259
Monotonic Neural Network: combining Deep Learning with Domain Knowledge for Chiller Plants Energy Optimization	Fanhe Ma, Faen Zhang, Shenglan Ben	2021	arxiv 2106.06143
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks	Lemeng Wu, Bo Liu, Peter Stone	2021	arxiv 2102.08574
Opening Deep Neural Networks with Generative Models	Marcos Vendramini, Hugo Oliveira, Alexei Machado	2021	arxiv 2105.10013
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions	Juan Shu, Bowei Xi, Charles Kamhoua	2021	arxiv 2107.00003
FLVoogd: Robust And Privacy Preserving Federated Learning	Yuhang Tian, Rui Wang, Yanqi Qiao	2022	arxiv 2207.00428
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers	Josh Belanich, Krishna Somandepalli, Brian Eoff	2022