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Model Architecture

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Papers

Transforming Visual Scene Graphs to Image Captions ACL 2023 Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach ICCV 2023 Transparent GPU Sharing in Container Clouds for Deep Learning Workloads NSDI 2023 Truly Scale-Equivariant Deep Nets with Fourier Layers NeurIPS 2023 Tü-CL at SIGMORPHON 2023: Straight-Through Gradient Estimation for Hard Attention ACL 2023 Tunable Convolutions With Parametric Multi-Loss Optimization CVPR 2023 Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation NeurIPS 2023 Two Stage Contextual Word Filtering for Context Bias in Unified Streaming and Non-streaming Transducer Interspeech 2023 Two-Stage Co-Segmentation Network Based on Discriminative Representation for Recovering Human Mesh From Videos CVPR 2023 Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models ACL 2023 Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms CVPR 2023 Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression Interspeech 2023 Under-Display Camera Image Restoration with Scattering Effect ICCV 2023 Understanding Deep Gradient Leakage via Inversion Influence Functions NeurIPS 2023 Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers NeurIPS 2023 Understanding the Covariance Structure of Convolutional Filters ICLR 2023 Understanding weight-magnitude hyperparameters in training binary networks ICLR 2023 UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models NeurIPS 2023 Universal Approximation Property of Invertible Neural Networks JMLR 2023 UPSCALE: Unconstrained Channel Pruning ICML 2023 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023 UTM: A Unified Multiple Object Tracking Model With Identity-Aware Feature Enhancement CVPR 2023 UV Volumes for Real-Time Rendering of Editable Free-View Human Performance CVPR 2023 VA-DepthNet: A Variational Approach to Single Image Depth Prediction ICLR 2023 VanillaNet: the Power of Minimalism in Deep Learning NeurIPS 2023