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Model Architecture

4351 directly classified papers

Papers per year

Papers

Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation CVPR 2024
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization NIPS 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NIPS 2024
Exploration of the CycleGN Framework for Low-Resource Languages EMNLP 2024
Condition-Aware Neural Network for Controlled Image Generation CVPR 2024
Guiding a Diffusion Model with a Bad Version of Itself NIPS 2024
PiShield: A PyTorch Package for Learning with Requirements IJCAI 2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices NIPS 2024
Memory-Augmenting Decoder-Only Language Models through Encoders (Student Abstract) AAAI 2024
BERTground: A Transformer-Based Model of Background Spectra on the ISS-Based NICER Space Telescope AAAI 2024
Knowledge Distillation in Federated Learning: A Practical Guide IJCAI 2024
TIGFORMER at TextGraphs-17 Shared Task: A Late Interaction Method for text and Graph Representations in KBQA Classification Task ACL 2024
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024
AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System AAAI 2024
Simple and Fast Distillation of Diffusion Models NIPS 2024
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery AAAI 2024
Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification AAAI 2024
Revisiting Neural Networks for Continual Learning: An Architectural Perspective IJCAI 2024
Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks NIPS 2024
Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks L4DC 2024
Object Dynamics Modeling with Hierarchical Point Cloud-based Representations CVPR 2024
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks Using Bernstein Polynomial Activations and Precise Bound Propagation AAAI 2024
AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor CVPR 2024
Towards Efficient Verification of Quantized Neural Networks AAAI 2024