residual connection

Understanding Visual Feature Reliance through the Lens of Complexity NeurIPS 2024 Your Transformer is Secretly Linear ACL 2024 Basic Binary Convolution Unit for Binarized Image Restoration Network ICLR 2023 Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications NeurIPS 2023 Do Invariances in Deep Neural Networks Align with Human Perception? AAAI 2023 DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks AAAI 2023 Factorized Fourier Neural Operators ICLR 2023 HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network ICCV 2023 Residual Prompt Tuning: improving prompt tuning with residual reparameterization ACL 2023 Cross-Domain Few-Shot Learning With Task-Specific Adapters CVPR 2022 Measuring the Mixing of Contextual Information in the Transformer EMNLP 2022 Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets ICML 2022 Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective ICLR 2022 Evolving Attention with Residual Convolutions ICML 2021 Graph Neural Networks with Adaptive Residual NeurIPS 2021 Incorporating Residual and Normalization Layers into Analysis of Masked Language Models EMNLP 2021 Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting AAAI 2021 ReZero is all you need: fast convergence at large depth UAI 2021 Ringing ReLUs: Harmonic Distortion Analysis of Nonlinear Feedforward Networks ICLR 2021 ARET: Aggregated Residual Extended Time-Delay Neural Networks for Speaker Verification Interspeech 2020 Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text EMNLP 2020 Lipschitz Constrained Parameter Initialization for Deep Transformers ACL 2020 NEC-TT Speaker Verification System for SRE’19 CTS Challenge Interspeech 2020 Neural Metaphor Detection with a Residual biLSTM-CRF Model ACL 2020 Neural Network Pruning With Residual-Connections and Limited-Data CVPR 2020