Neural Networks

Prior Guided GAN Based Semantic Inpainting CVPR 2020 Priorless Recurrent Networks Learn Curiously COLING 2020 Probabilistic Graphical Models with Neural Networks in InferPy PGM 2020 Probabilistic Orientation Estimation with Matrix Fisher Distributions NeurIPS 2020 Probabilistic Safety for Bayesian Neural Networks UAI 2020 Probabilistic Symmetries and Invariant Neural Networks JMLR 2020 Probability Weighted Compact Feature for Domain Adaptive Retrieval CVPR 2020 Propose-and-Attend Single Shot Detector WACV 2020 Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks ICLR 2020 Provable Filter Pruning for Efficient Neural Networks ICLR 2020 Provable robustness against all adversarial l_p-perturbations for p≥ 1 ICLR 2020 Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NeurIPS 2020 PSForest: Improving Deep Forest via Feature Pooling and Error Screening ACML 2020 Pure and Spurious Critical Points: a Geometric Study of Linear Networks ICLR 2020 PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection CVPR 2020 Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel ICLR 2020 Quantitative Propagation of Chaos for SGD in Wide Neural Networks NeurIPS 2020 Quantum Algorithms for Deep Convolutional Neural Networks ICLR 2020 Quasi-Periodic Parallel WaveGAN Vocoder: A Non-Autoregressive Pitch-Dependent Dilated Convolution Model for Parametric Speech Generation Interspeech 2020 Quaternion Neural Networks for Multi-Channel Distant Speech Recognition Interspeech 2020 Quaternion Product Units for Deep Learning on 3D Rotation Groups CVPR 2020 Question-Driven Purchasing Propensity Analysis for Recommendation AAAI 2020 R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features AAAI 2020 RANCC: Rationalizing Neural Networks via Concept Clustering COLING 2020 Random Walk Graph Neural Networks NeurIPS 2020