neural network architecture

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling ICML 2023 COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects ICML 2023 Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation CVPR 2023 Contextual Convolutional Networks ICLR 2023 CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference NeurIPS 2023 Densely Connected G-invariant Deep Neural Networks with Signed Permutation Representations JMLR 2023 DepGraph: Towards Any Structural Pruning CVPR 2023 Diffusion Probabilistic Model Made Slim CVPR 2023 Dilated convolution with learnable spacings ICLR 2023 Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies NeurIPS 2023 Efficient Controllable Multi-Task Architectures ICCV 2023 End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023 Global Context Vision Transformers ICML 2023 Human-level Atari 200x faster ICLR 2023 Integral Neural Networks CVPR 2023 Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning EMNLP 2023 Investigating how ReLU-networks encode symmetries NeurIPS 2023 Learning differentiable solvers for systems with hard constraints ICLR 2023 Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning ACL 2023 Learning Layer-wise Equivariances Automatically using Gradients NeurIPS 2023 LibMTL: A Python Library for Deep Multi-Task Learning JMLR 2023 Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving CVPR 2023 MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods ICML 2023 MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition NeurIPS 2023 ML-Decoder: Scalable and Versatile Classification Head WACV 2023