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Neural Networks

11,723 papers

Papers per year

25
148
1385
860
'10
'15
'20
'25

Papers

ImPosing: Implicit Pose Encoding for Efficient Visual Localization WACV 2023
A Protocol for Evaluating Model Interpretation Methods From Visual Explanations WACV 2023
IM-Loss: Information Maximization Loss for Spiking Neural Networks NIPS 2022
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain NIPS 2022
Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks NIPS 2022
On the Frequency-bias of Coordinate-MLPs NIPS 2022
Sparsity in Continuous-Depth Neural Networks NIPS 2022
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations NIPS 2022
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation NIPS 2022
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics NIPS 2022
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds NIPS 2022
Deep Differentiable Logic Gate Networks NIPS 2022
Towards Understanding the Condensation of Neural Networks at Initial Training NIPS 2022
CoNT: Contrastive Neural Text Generation NIPS 2022
Implicit Neural Representations with Levels-of-Experts NIPS 2022
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures NIPS 2022
S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces NIPS 2022
Approximation with CNNs in Sobolev Space: with Applications to Classification NIPS 2022
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing NIPS 2022
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach NIPS 2022
Flare7K: A Phenomenological Nighttime Flare Removal Dataset NIPS 2022
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces NIPS 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power NIPS 2022
Sparse Winning Tickets are Data-Efficient Image Recognizers NIPS 2022
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis NIPS 2022