Techniques

DoCoFL: Downlink Compression for Cross-Device Federated Learning ICML 2023 DocSplit: Simple Contrastive Pretraining for Large Document Embeddings EMNLP 2023 Document-Level Event Argument Extraction With a Chain Reasoning Paradigm ACL 2023 Document-Level Language Models for Machine Translation EMNLP 2023 Does progress on ImageNet transfer to real-world datasets? NeurIPS 2023 DomainAdaptor: A Novel Approach to Test-time Adaptation ICCV 2023 Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling EACL 2023 Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords ACL 2023 Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks ICML 2023 Don’t just prune by magnitude! Your mask topology is a secret weapon NeurIPS 2023 Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis CVPR 2023 Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner NeurIPS 2023 Do Pre-Trained Models Benefit Equally in Continual Learning? WACV 2023 Do Transformers Parse while Predicting the Masked Word? EMNLP 2023 Double-Branch Multi-Attention based Graph Neural Network for Knowledge Graph Completion ACL 2023 Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL 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 Downstream Datasets Make Surprisingly Good Pretraining Corpora ACL 2023 DRew: Dynamically Rewired Message Passing with Delay ICML 2023 DropKey for Vision Transformer CVPR 2023 Dropout Reduces Underfitting ICML 2023 DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions NeurIPS 2023 DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration ICCV 2023 Dual Cache for Long Document Neural Coreference Resolution ACL 2023