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Neural Networks

13,168 papers

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Papers

On the Embeddings of Variables in Recurrent Neural Networks for Source Code NAACL 2021 On the Equivalence between Neural Network and Support Vector Machine NeurIPS 2021 On the Frequency Bias of Generative Models NeurIPS 2021 On the Generalization of Learning-Based 3D Reconstruction WACV 2021 On the geometry of generalization and memorization in deep neural networks ICLR 2021 On the Memory Mechanism of Tensor-Power Recurrent Models AISTATS 2021 On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity AISTATS 2021 On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths ICML 2021 On the Random Conjugate Kernel and Neural Tangent Kernel ICML 2021 On the Representation of Solutions to Elliptic PDEs in Barron Spaces NeurIPS 2021 On the Representation Power of Set Pooling Networks NeurIPS 2021 On the Transferability of Adversarial Attacks against Neural Text Classifier EMNLP 2021 On the Universality of Rotation Equivariant Point Cloud Networks ICLR 2021 On the Verification of Neural ODEs with Stochastic Guarantees AAAI 2021 OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres ACL 2021 Ontology-Driven Event Type Classification in Images WACV 2021 On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021 Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies AAAI 2021 Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks IJCAI 2021 Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks ICLR 2021 Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021 Orthogonalizing Convolutional Layers with the Cayley Transform ICLR 2021 OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network NAACL 2021 OVANet: One-vs-All Network for Universal Domain Adaptation ICCV 2021 PAConv: Position Adaptive Convolution With Dynamic Kernel Assembling on Point Clouds CVPR 2021