Neural Networks

EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation CVPR 2024 Emergent Equivariance in Deep Ensembles ICML 2024 Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks ICLR 2024 EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision ICLR 2024 Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations AAAI 2024 EMR-Merging: Tuning-Free High-Performance Model Merging NeurIPS 2024 Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products ICLR 2024 Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods IJCAI 2024 Enabling Uncertainty Estimation in Iterative Neural Networks ICML 2024 Encodings for Prediction-based Neural Architecture Search ICML 2024 End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding AAAI 2024 End-to-end Parsing of Procedural Text into Flow Graphs COLING 2024 Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials ICLR 2024 Energy-guided Entropic Neural Optimal Transport ICLR 2024 Enhanced Feature Learning with Normalized Knowledge Distillation for Audio Tagging Interspeech 2024 Enhancing Adversarial Robustness in SNNs with Sparse Gradients ICML 2024 Enhancing Healthcare Predictions with Deep Learning Models AAAI 2024 Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain AAAI 2024 Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning AAAI 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Enhancing Training of Spiking Neural Network with Stochastic Latency AAAI 2024 EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature NeurIPS 2024 Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets ECCV 2024 Entropy Induced Pruning Framework for Convolutional Neural Networks AAAI 2024 Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning ICLR 2024