Architectures

Revisiting Robustness in Graph Machine Learning ICLR 2023 Revisiting Structured Dropout ACML 2023 Revisiting Structured Variational Autoencoders ICML 2023 Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond ACL 2023 Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023 Revisiting Vision Transformer from the View of Path Ensemble ICCV 2023 REx: Data-Free Residual Quantization Error Expansion NeurIPS 2023 RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction EMNLP 2023 RGAT at SemEval-2023 Task 2: Named Entity Recognition Using Graph Attention Network SemEval 2023 RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking AAAI 2023 RGB No More: Minimally-Decoded JPEG Vision Transformers CVPR 2023 RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs ACL 2023 Rich Event Modeling for Script Event Prediction AAAI 2023 Ridges, Neural Networks, and the Radon Transform JMLR 2023 Riemannian Local Mechanism for SPD Neural Networks AAAI 2023 Riemannian Residual Neural Networks NeurIPS 2023 RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer CVPR 2023 Ripple: Concept-Based Interpretation for Raw Time Series Models in Education AAAI 2023 RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks ICCV 2023 RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools CoRL 2023 Robust Blind Watermarking Framework for Hybrid Networks Combining CNN and Transformer ACML 2023 Robust Camera Pose Refinement for Multi-Resolution Hash Encoding ICML 2023 Robust Causal Graph Representation Learning against Confounding Effects AAAI 2023 Robust Code Summarization EMNLP 2023 Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023