Model Architecture

Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing EMNLP 2023 Learning Activation Functions for Sparse Neural Networks AutoML 2023 Learning Anchor Transformations for 3D Garment Animation CVPR 2023 Learning Conflict-Noticed Architecture for Multi-Task Learning AAAI 2023 Learning Gabor Texture Features for Fine-Grained Recognition ICCV 2023 Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network ICLR 2023 Learning Iterative Neural Optimizers for Image Steganography ICLR 2023 Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution WACV 2023 Learning Local to Global Feature Aggregation for Speech Emotion Recognition Interspeech 2023 Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution ICCV 2023 Learning Situation Hyper-Graphs for Video Question Answering CVPR 2023 Learning Steerable Function for Efficient Image Resampling CVPR 2023 Learning threshold neurons via edge of stability NeurIPS 2023 Learning To Dub Movies via Hierarchical Prosody Models CVPR 2023 Learning to Segment from Noisy Annotations: A Spatial Correction Approach ICLR 2023 Learning To Zoom and Unzoom CVPR 2023 Learning with Auxiliary Activation for Memory-Efficient Training ICLR 2023 Less is More: Focus Attention for Efficient DETR ICCV 2023 Leveraging Unlabeled Data to Track Memorization ICLR 2023 LGI-GT: Graph Transformers with Local and Global Operators Interleaving IJCAI 2023 LightGlue: Local Feature Matching at Light Speed ICCV 2023 LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification ICLR 2023 Lipschitz constant estimation for 1D convolutional neural networks L4DC 2023 Liquid Structural State-Space Models ICLR 2023 Local Intrinsic Dimensional Entropy AAAI 2023