Model Architecture

Structure Flow-Guided Network for Real Depth Super-resolution AAAI 2023 Studying How to Efficiently and Effectively Guide Models with Explanations ICCV 2023 StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN ICLR 2023 Surface Extraction from Neural Unsigned Distance Fields ICCV 2023 Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks ICML 2023 SVDiff: Compact Parameter Space for Diffusion Fine-Tuning ICCV 2023 SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search WACV 2023 SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient ICML 2023 SWAT: Spatial Structure Within and Among Tokens IJCAI 2023 SWBNet: A Stable White Balance Network for sRGB Images AAAI 2023 SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device ICCV 2023 SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions NeurIPS 2023 Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks ICLR 2023 TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization ICLR 2023 Task-Agnostic Structured Pruning of Speech Representation Models Interspeech 2023 Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation ICCV 2023 TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials NeurIPS 2023 TFECN: Time-Frequency Enhanced ConvNet for Audio Classification Interspeech 2023 The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior ICCV 2023 The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection CVPR 2023 The expressive power of pooling in Graph Neural Networks NeurIPS 2023 The Expressive Power of Tuning Only the Normalization Layers COLT 2023 The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment EMNLP 2023 The Hessian perspective into the Nature of Convolutional Neural Networks ICML 2023 The Importance of Anti-Aliasing in Tiny Object Detection ACML 2023