Model Architecture

Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis CVPR 2023 Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR 2023 Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images ICCV 2023 DRew: Dynamically Rewired Message Passing with Delay ICML 2023 DropKey for Vision Transformer CVPR 2023 Dual Cache for Long Document Neural Coreference Resolution ACL 2023 Dual-Domain Attention for Image Deblurring AAAI 2023 Dual Focal Loss for Calibration ICML 2023 Dual Transformer Decoder based Features Fusion Network for Automated Audio Captioning Interspeech 2023 DynaMask: Dynamic Mask Selection for Instance Segmentation CVPR 2023 Dynamic Heterogeneous Graph Attention Neural Architecture Search AAAI 2023 Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023 Dynamic Mixture of Counter Network for Location-Agnostic Crowd Counting WACV 2023 Dynamic Sparsity Is Channel-Level Sparsity Learner NeurIPS 2023 DySR: Adaptive Super-Resolution via Algorithm and System Co-design ICLR 2023 E$(n)$ Equivariant Message Passing Simplicial Networks ICML 2023 Early Exit with Disentangled Representation and Equiangular Tight Frame ACL 2023 EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model AISTATS 2023 Effective Invertible Arbitrary Image Rescaling WACV 2023 Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators OSDI 2023 Efficient Activation Function Optimization through Surrogate Modeling NeurIPS 2023 Efficient Attention via Control Variates ICLR 2023 Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks NeurIPS 2023 Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning AAAI 2023 Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network ICML 2023