model architecture

An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language ACL 2023 Architectural Backdoors in Neural Networks CVPR 2023 BALTO: fast tensor program optimization with diversity-based active learning ICLR 2023 Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework AAAI 2023 Can CNNs Be More Robust Than Transformers? ICLR 2023 Conditional Positional Encodings for Vision Transformers ICLR 2023 Convolutional Networks with Oriented 1D Kernels ICCV 2023 Couplformer: Rethinking Vision Transformer With Coupling Attention WACV 2023 Dataset Quantization ICCV 2023 Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion ICCV 2023 Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR 2023 EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement Interspeech 2023 FlexiAST: Flexibility is What AST Needs Interspeech 2023 GEQ: Gaussian Kernel Inspired Equilibrium Models NeurIPS 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023 Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles ICML 2023 HyperMixer: An MLP-based Low Cost Alternative to Transformers ACL 2023 JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment AAAI 2023 LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction ACL 2023 Learning Activation Functions for Sparse Neural Networks AutoML 2023 LibMTL: A Python Library for Deep Multi-Task Learning JMLR 2023 Machines of Finite Depth: Towards a Formalization of Neural Networks AAAI 2023 MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models ICLR 2023 Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN ICLR 2023 Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture NeurIPS 2023