Model Architecture

Recasting Self-Attention with Holographic Reduced Representations ICML 2023 Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation CVPR 2023 Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning ICLR 2023 ReCo: Region-Controlled Text-to-Image Generation CVPR 2023 Recovering Fine Details for Neural Implicit Surface Reconstruction WACV 2023 Recurrent Vision Transformers for Object Detection With Event Cameras CVPR 2023 Recursive Sound Source Separation with Deep Learning-based Beamforming for Unknown Number of Sources Interspeech 2023 Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs ICML 2023 Reflected Diffusion Models ICML 2023 Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less ICCV 2023 Reliability of CKA as a Similarity Measure in Deep Learning ICLR 2023 Reparameterization through Spatial Gradient Scaling ICLR 2023 Re-parameterizing Your Optimizers rather than Architectures ICLR 2023 RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction CVPR 2023 Residual Alignment: Uncovering the Mechanisms of Residual Networks NeurIPS 2023 Residual-based error bound for physics-informed neural networks UAI 2023 Residual Prompt Tuning: improving prompt tuning with residual reparameterization ACL 2023 Resilient Binary Neural Network AAAI 2023 Resurrecting Recurrent Neural Networks for Long Sequences ICML 2023 Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition NeurIPS 2023 Rethinking Fast Fourier Convolution in Image Inpainting ICCV 2023 Re-Thinking Model Inversion Attacks Against Deep Neural Networks CVPR 2023 Rethinking the Backward Propagation for Adversarial Transferability NeurIPS 2023 RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 Rethinking Vision Transformers for MobileNet Size and Speed ICCV 2023