conftrace_

deep neural network

1803 papers

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Also known as

DNN DNNS

Co-occurring keywords

neural network (6616) adversarial attack (1621) deep learning (2118) image classification (1944) representation learning (6206) model compression (3302) convolutional neural network (4226) automatic speech recognition (1774) speech enhancement (581) neural network optimization (1293)

Papers

Exploring Human-Like Reading Strategy for Abstractive Text Summarization AAAI 2019
Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting IJCNLP 2019
LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning IJCAI 2019
Learning Loss for Active Learning CVPR 2019
Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels CVPR 2019
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds CVPR 2019
MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition CVPR 2019
Self-Calibrating Deep Photometric Stereo Networks CVPR 2019
Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes CVPR 2019
Direct Object Recognition Without Line-Of-Sight Using Optical Coherence CVPR 2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds CVPR 2019
On the Intrinsic Dimensionality of Image Representations CVPR 2019
Meta-Transfer Learning for Few-Shot Learning CVPR 2019
Learning a Unified Classifier Incrementally via Rebalancing CVPR 2019
Towards High-Fidelity Nonlinear 3D Face Morphable Model CVPR 2019
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding CVPR 2019
Learning-Based Sampling for Natural Image Matting CVPR 2019
Sensitive-Sample Fingerprinting of Deep Neural Networks CVPR 2019
Disentangling Adversarial Robustness and Generalization CVPR 2019
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds CVPR 2019
Generalized Boltzmann Machine with Deep Neural Structure AISTATS 2019
Fisher Information and Natural Gradient Learning in Random Deep Networks AISTATS 2019
Regularizing Neural Networks via Stochastic Branch Layers ACML 2019
Adversarial Defense Through Network Profiling Based Path Extraction CVPR 2019
Learning to Calibrate Straight Lines for Fisheye Image Rectification CVPR 2019