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Model Architecture

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Papers

FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer CVPR 2023 FLatten Transformer: Vision Transformer using Focused Linear Attention ICCV 2023 FlexiAST: Flexibility is What AST Needs Interspeech 2023 FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization ICML 2023 FoSR: First-order spectral rewiring for addressing oversquashing in GNNs ICLR 2023 FouriDown: Factoring Down-Sampling into Shuffling and Superposing NeurIPS 2023 Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification EMNLP 2023 FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning AAAI 2023 Fundamental limits on the robustness of image classifiers ICLR 2023 GeNAS: Neural Architecture Search with Better Generalization IJCAI 2023 Generalizing Event-Based Motion Deblurring in Real-World Scenarios ICCV 2023 Genie: Show Me the Data for Quantization CVPR 2023 GENNAPE: Towards Generalized Neural Architecture Performance Estimators AAAI 2023 Geometric Random Walk Graph Neural Networks via Implicit Layers AISTATS 2023 Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction ICCV 2023 Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation ICCV 2023 Global Dilated Attention and Target Focusing Network for Robust Tracking AAAI 2023 Global Structure-Aware Diffusion Process for Low-light Image Enhancement NeurIPS 2023 Global Vision Transformer Pruning With Hessian-Aware Saliency CVPR 2023 Gold Standard Bangla OCR Dataset: An In-Depth Look at Data Preprocessing and Annotation Processes EMNLP 2023 GRACE: Discriminator-Guided Chain-of-Thought Reasoning EMNLP 2023 Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation EMNLP 2023 Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians NeurIPS 2023 Gradient Gating for Deep Multi-Rate Learning on Graphs ICLR 2023 Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling NeurIPS 2023