Techniques

Rethinking Masked Language Modeling for Chinese Spelling Correction ACL 2023 Re-Thinking Model Inversion Attacks Against Deep Neural Networks CVPR 2023 Rethinking the Backward Propagation for Adversarial Transferability NeurIPS 2023 RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 Rethinking Vision Transformers for MobileNet Size and Speed ICCV 2023 RevColV2: Exploring Disentangled Representations in Masked Image Modeling NeurIPS 2023 Revealing the Dark Secrets of Masked Image Modeling CVPR 2023 Reversible and irreversible bracket-based dynamics for deep graph neural networks NeurIPS 2023 Reversible Column Networks ICLR 2023 Reversible Neural Networks for Memory-Efficient Speaker Verification Interspeech 2023 Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training ACL 2023 Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge ACL 2023 Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees ICML 2023 Revisiting non-English Text Simplification: A Unified Multilingual Benchmark ACL 2023 REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH ICLR 2023 Revisiting Residual Networks for Adversarial Robustness CVPR 2023 Revisiting Structured Dropout ACML 2023 Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring CVPR 2023 Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition AAAI 2023 Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023 Revisiting Training-Free NAS Metrics: An Efficient Training-Based Method WACV 2023 Revisiting Vision Transformer from the View of Path Ensemble ICCV 2023 RGB No More: Minimally-Decoded JPEG Vision Transformers CVPR 2023 RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding ACL 2023 Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds NeurIPS 2023