Techniques

Dual-Domain Attention for Image Deblurring AAAI 2023 Dual Focal Loss for Calibration ICML 2023 Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation AAAI 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 Dynamic Stance: Modeling Discussions by Labeling the Interactions EMNLP 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 Editing models with task arithmetic ICLR 2023 EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model AISTATS 2023 EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships MLHC 2023 EEL: Efficiently Encoding Lattices for Reranking ACL 2023 Effective Invertible Arbitrary Image Rescaling WACV 2023 Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators OSDI 2023 Effective Self-supervised Pre-training on Low-compute Networks without Distillation ICLR 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 Equivariant Transfer Learning from Pretrained Models NeurIPS 2023