Architectures

DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds ICCV 2023 DeLiRa: Self-Supervised Depth, Light, and Radiance Fields ICCV 2023 Delving Into Masked Autoencoders for Multi-Label Thorax Disease Classification WACV 2023 DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding EMNLP 2023 DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction AAAI 2023 Demystifying Oversmoothing in Attention-Based Graph Neural Networks NeurIPS 2023 Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS 2023 Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023 DE-net: Dynamic Text-Guided Image Editing Adversarial Networks AAAI 2023 Denoising Masked Autoencoders Help Robust Classification ICLR 2023 De Novo Molecular Generation via Connection-aware Motif Mining ICLR 2023 Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models NeurIPS 2023 Dense but Efficient VideoQA for Intricate Compositional Reasoning WACV 2023 Dense Distinct Query for End-to-End Object Detection CVPR 2023 Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel NeurIPS 2023 Densely Connected G-invariant Deep Neural Networks with Signed Permutation Representations JMLR 2023 Dense Network Expansion for Class Incremental Learning CVPR 2023 Dense Prediction With Attentive Feature Aggregation WACV 2023 Dense Retrieval as Indirect Supervision for Large-space Decision Making EMNLP 2023 DePA: Improving Non-autoregressive Translation with Dependency-Aware Decoder ACL 2023 DepGraph: Towards Any Structural Pruning CVPR 2023 DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification ACL 2023 Depth-Relative Self Attention for Monocular Depth Estimation IJCAI 2023 DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text EMNLP 2023 Describing the phonetics in the underlying speech attributes for deep and interpretable speaker recognition Interspeech 2023