model architecture

Multi-level Protein Structure Pre-training via Prompt Learning ICLR 2023 Network Expansion for Practical Training Acceleration CVPR 2023 “No Free Lunch” in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization AutoML 2023 On Investigating the Conservative Property of Score-Based Generative Models ICML 2023 PAD-Net: An Efficient Framework for Dynamic Networks ACL 2023 ParCNetV2: Oversized Kernel with Enhanced Attention ICCV 2023 Permutation Equivariant Neural Functionals NeurIPS 2023 Pretraining Without Attention EMNLP 2023 Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation NeurIPS 2023 Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning ICLR 2023 Regularization of Polynomial Networks for Image Recognition CVPR 2023 Reparameterization through Spatial Gradient Scaling ICLR 2023 Re-parameterizing Your Optimizers rather than Architectures ICLR 2023 Rethinking Mobile Block for Efficient Attention-based Models ICCV 2023 Reversible Column Networks ICLR 2023 Revisiting Residual Networks for Adversarial Robustness CVPR 2023 Revisiting Vision Transformer from the View of Path Ensemble ICCV 2023 RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer CVPR 2023 RNAS-MER: A Refined Neural Architecture Search With Hybrid Spatiotemporal Operations for Micro-Expression Recognition WACV 2023 RWKV: Reinventing RNNs for the Transformer Era EMNLP 2023 Scale-Aware Modulation Meet Transformer ICCV 2023 Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP 2023 SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations NeurIPS 2023 SWAT: Spatial Structure Within and Among Tokens IJCAI 2023 TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities ACL 2023