neural network

DANets: Deep Abstract Networks for Tabular Data Classification and Regression AAAI 2022 DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior AAAI 2022 Data-Efficient Augmentation for Training Neural Networks NeurIPS 2022 Data-Efficient Structured Pruning via Submodular Optimization NeurIPS 2022 DataMUX: Data Multiplexing for Neural Networks NeurIPS 2022 Dataset Distillation by Matching Training Trajectories CVPR 2022 Dataset Pruning for Resource-constrained Spoofed Audio Detection Interspeech 2022 DDDM: A Brain-Inspired Framework for Robust Classification IJCAI 2022 Decision-Focused Learning: Through the Lens of Learning to Rank ICML 2022 Deconfounded Representation Similarity for Comparison of Neural Networks NeurIPS 2022 Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction AAAI 2022 Deconvolutional Density Network: Modeling Free-Form Conditional Distributions AAAI 2022 DECORE: Deep Compression With Reinforcement Learning CVPR 2022 Deep Active Learning by Leveraging Training Dynamics NeurIPS 2022 Deep Cascade Learning for Optimal Medical Image Feature Representation MLHC 2022 Deep Ensembles Work, But Are They Necessary? NeurIPS 2022 Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models L4DC 2022 Deep Interactive Surface Creation from 3D Sketch Strokes IJCAI 2022 Deep invariant networks with differentiable augmentation layers NeurIPS 2022 Deep Learning-Based Morphological Segmentation for Indigenous Languages: A Study Case on Innu-Aimun NAACL 2022 Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract) AAAI 2022 Deep Learning for Model Correction in Cardiac Electrophysiological Imaging MIDL 2022 Deep Learning Methods for Proximal Inference via Maximum Moment Restriction NeurIPS 2022 Deep Learning with Logical Constraints IJCAI 2022 Deep Model Reassembly NeurIPS 2022