Model Architecture

Learnable Lookup Table for Neural Network Quantization CVPR 2022 Learnable Sparse Filterbank for Speaker Verification Interspeech 2022 Learned Queries for Efficient Local Attention CVPR 2022 Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns ACL 2022 Learning a neural Pareto manifold extractor with constraints UAI 2022 Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning ICLR 2022 Learning From the CNN-Based Compressed Domain WACV 2022 Learning Graph Regularisation for Guided Super-Resolution CVPR 2022 Learning Multi-Objective Curricula for Robotic Policy Learning CoRL 2022 Learning of Cluster-based Feature Importance for Electronic Health Record Time-series ICML 2022 Learning Optimal Conformal Classifiers ICLR 2022 Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining ICLR 2022 Learning Strides in Convolutional Neural Networks ICLR 2022 Learning to Downsample for Segmentation of Ultra-High Resolution Images ICLR 2022 Learning to Solve PDE-constrained Inverse Problems with Graph Networks ICML 2022 Learning Versatile Neural Architectures by Propagating Network Codes ICLR 2022 Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models EMNLP 2022 Leveraging Locality in Abstractive Text Summarization EMNLP 2022 Leveraging Symmetrical Convolutional Transformer Networks for Speech to Singing Voice Style Transfer Interspeech 2022 LGT-Net: Indoor Panoramic Room Layout Estimation With Geometry-Aware Transformer Network CVPR 2022 Lightweight Monocular Depth With a Novel Neural Architecture Search Method WACV 2022 Linear Complexity Randomized Self-attention Mechanism ICML 2022 Linearizing Transformer with Key-Value Memory EMNLP 2022 Lite Unified Modeling for Discriminative Reading Comprehension ACL 2022 Lite Vision Transformer With Enhanced Self-Attention CVPR 2022