neural network architecture

MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks NeurIPS 2024 MoST: Motion Style Transformer Between Diverse Action Contents CVPR 2024 MR-VNet: Media Restoration using Volterra Networks CVPR 2024 Multi-Head Mixture-of-Experts NeurIPS 2024 NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning CVPR 2024 On Feature Learning in Structured State Space Models NeurIPS 2024 On the generalization capacity of neural networks during generic multimodal reasoning ICLR 2024 Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling NeurIPS 2024 Ordinal Potential-based Player Rating AISTATS 2024 Revisiting Neural Networks for Continual Learning: An Architectural Perspective IJCAI 2024 Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations NeurIPS 2024 Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics NeurIPS 2024 Slicing Vision Transformer for Flexible Inference NeurIPS 2024 SPDER: Semiperiodic Damping-Enabled Object Representation ICLR 2024 The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks NeurIPS 2024 The Star Geometry of Critic-Based Regularizer Learning NeurIPS 2024 Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models NeurIPS 2024 Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form IJCAI 2024 Universal Neural Functionals NeurIPS 2024 YOLOv10: Real-Time End-to-End Object Detection NeurIPS 2024 You Only Need Less Attention at Each Stage in Vision Transformers CVPR 2024 Adding Conditional Control to Text-to-Image Diffusion Models ICCV 2023 ADGym: Design Choices for Deep Anomaly Detection NeurIPS 2023 Andronicus of Rhodes at SemEval-2023 Task 4: Transformer-Based Human Value Detection Using Four Different Neural Network Architectures SemEval 2023 AstroNet: When Astrocyte Meets Artificial Neural Network CVPR 2023