Neural Networks

Reversible Column Networks ICLR 2023 Revisiting Structured Dropout ACML 2023 Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023 REx: Data-Free Residual Quantization Error Expansion NeurIPS 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 RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks ICCV 2023 Robust Camera Pose Refinement for Multi-Resolution Hash Encoding ICML 2023 Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023 Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy NeurIPS 2023 Robust Dynamic Radiance Fields CVPR 2023 Robust Image Steganography: Hiding Messages in Frequency Coefficients AAAI 2023 Robust Mixture-of-Expert Training for Convolutional Neural Networks ICCV 2023 RobustNeRF: Ignoring Distractors With Robust Losses CVPR 2023 Robustness Guarantees for Adversarially Trained Neural Networks NeurIPS 2023 Robust Training for AC-OPF (Student Abstract) AAAI 2023 Role-Aware Interaction Generation from Textual Description ICCV 2023 Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture IJCAI 2023 Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks CVPR 2023 RWEN-TTS: Relation-Aware Word Encoding Network for Natural Text-to-Speech Synthesis AAAI 2023 RWKV: Reinventing RNNs for the Transformer Era EMNLP 2023 Safe Multi-View Deep Classification AAAI 2023 Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers AAAI 2023 Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks ICLR 2023