2020.01.05 Learning papers

12-31-2019	Intrinsic motivations and open-ended learning by Gianluca Baldassarre
12-31-2019	Some compact notations for concentration inequalities and user-friendly results by Kaizheng Wang
12-31-2019	Reward-Conditioned Policies by Aviral Kumar et al
12-31-2019	Model Inversion Networks for Model-Based Optimization by Aviral Kumar et al
12-31-2019	Stacked DeBERT: All Attention in Incomplete Data for Text Classification by Gwenaelle Cunha Sergio et al
12-31-2019	oLMpics -- On what Language Model Pre-training Captures by Alon Talmor et al
01-01-2020	Online Similarity Learning with Feedback for Invoice Line Item Matching by Chandresh Kumar Maurya et al
12-31-2019	Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks by Yoh-ichi Mototake
12-31-2019	Erase and Restore: Simple, Accurate and Resilient Detection of L2L2 Adversarial Examples by Fei Zuo et al
01-02-2020	Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition by Nishai Kooverjee et al
12-31-2019	Deep Attentive Ranking Networks for Learning to Order Sentences by Pawan Kumar et al
12-31-2019	HMM-guided frame querying for bandwidth-constrained video search by Bhairav Chidambaram et al
12-31-2019	Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning by Simone Parisi et al
12-31-2019	Robust Aggregation for Federated Learning by Krishna Pillutla et al
12-31-2019	Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) by Jamshed Memon et al
12-31-2019	Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction by Aravind Sankar et al
01-02-2020	Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications by Ljubisa Stankovic et al
01-02-2020	A Deep Structural Model for Analyzing Correlated Multivariate Time Series by Changwei Hu et al
01-02-2020	Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks by M. Cerezo et al
01-02-2020	Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics by Michael Neunert et al
12-31-2019	No Spurious Local Minima in Deep Quadratic Networks by Abbas Kazemipour et al
12-31-2019	PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning by Wei Niu et al
01-02-2020	PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy by Vahid Mirjalili et al
01-02-2020	On Consequentialism and Fairness by Dallas Card et al
12-31-2019	Asymptotic Risk of Least Squares Minimum Norm Estimator under the Spike Covariance Model by Yasaman Mahdaviyeh et al
01-01-2020	DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices by Jessica Torres Soto et al
01-01-2020	Dual Adversarial Domain Adaptation by Yuntao Du et al
01-02-2020	Restricting the Flow: Information Bottlenecks for Attribution by Karl Schulz et al
01-01-2020	Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces by Kan Li et al
12-31-2019	Approximate Inference for Fully Bayesian Gaussian Process Regression by Vidhi Lalchand et al
01-02-2020	Kernelized Support Tensor Train Machines by Cong Chen et al
01-02-2020	Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation by Letian Chen et al
12-31-2019	EEG based Continuous Speech Recognition using Transformers by Gautam Krishna et al
01-01-2020	Histogram Layers for Texture Analysis by Joshua Peeples et al
01-01-2020	Lossless Compression of Deep Neural Networks by Thiago Serra et al
12-31-2019	PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection by Shaoshuai Shi et al
12-31-2019	Comparison of object detection methods for crop damage assessment using deep learning by Ali HamidiSepehr et al
12-31-2019	A Dynamic Sampling Adaptive-SGD Method for Machine Learning by Achraf Bahamou et al
01-02-2020	Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends by Siddique Latif et al
01-01-2020	Ensemble emotion recognizing with multiple modal physiological signals by Jing Zhang et al
01-02-2020	Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means by Yuting Ng et al
12-31-2019	Side-Tuning: Network Adaptation via Additive Side Networks by Jeffrey O Zhang et al
12-31-2019	A Modern Introduction to Online Learning by Francesco Orabona
01-02-2020	Visual Machine Learning: Insight through Eigenvectors, Chladni patterns and community detection in 2D particulate structures by Raj Kishore et al
01-02-2020	Learning-Aided Deep Path Prediction for Sphere Decoding in Large MIMO Systems by Doyeon Weon et al
01-02-2020	Non-Parametric Learning of Gaifman Models by Devendra Singh Dhami et al
01-01-2020	Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach by Ramin Ayanzadeh et al
01-01-2020	Multi-lane Detection Using Instance Segmentation and Attentive Voting by Donghoon Chang et al
12-31-2019	On the Role of Weight Sharing During Deep Option Learning by Matthew Riemer et al
12-31-2019	Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization by Huizhuo Yuan et al
12-31-2019	A Robust Comparison of the KDDCup99 and NSL-KDD IoT Network Intrusion Detection Datasets Through Various Machine Learning Algorithms by Suchet Sapre et al
12-31-2019	Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning by Muhammad Usman et al
12-31-2019	Reinforcement Learning with Goal-Distance Gradient by Kai Jiang et al
12-31-2019	A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks by Sensong An et al
12-31-2019	Submodular Function Minimization and Polarity by Alper Atamturk et al
12-31-2019	Fitted Q-Learning in Mean-field Games by Berkay Anahtarcı et al
01-01-2020	A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks by Zhaodong Chen et al
01-01-2020	A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis by Mahendra Khened et al
12-31-2019	Scalable Hierarchical Clustering with Tree Grafting by Nicholas Monath et al
01-01-2020	Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification by Alberto Iess et al
12-31-2019	Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization by Yuntao Du et al
12-31-2019	On the Difference Between the Information Bottleneck and the Deep Information Bottleneck by Aleksander Wieczorek et al
01-01-2020	Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies by Sungryull Sohn et al
12-31-2019	Automated Testing for Deep Learning Systems with Differential Behavior Criteria by Yuan Gao et al
12-31-2019	Scalable NAS with Factorizable Architectural Parameters by Lanfei Wang et al
12-31-2019	Representation Internal-Manipulation (RIM): A Neuro-Inspired Computational Theory of Consciousness by Gianluca Baldassarre et al
12-31-2019	A frequency-domain analysis of inexact gradient descent by Oran Gannot
12-31-2019	Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models by Ruiyuan Gao et al
12-31-2019	Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning by Andreas Sedlmeier et al
01-01-2020	Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks by Ying Meng et al
01-01-2020	Motivic clustering schemes for directed graphs by Guilherme Vituri F. Pinto et al
01-02-2020	Thresholds of descending algorithms in inference problems by Stefano Sarao Mannelli et al
01-02-2020	Lightweight Residual Densely Connected Convolutional Neural Network by Fahimeh Fooladgar et al
01-02-2020	Adversarial Policies in Learning Systems with Malicious Experts by S. Rasoul Etesami et al
12-31-2019	Learning to Infer User Interface Attributes from Images by Philippe Schlattner et al
01-02-2020	Reject Illegal Inputs with Generative Classifier Derived from Any Discriminative Classifier by Xin Wang
01-02-2020	Temporal-Spatial Neural Filter: Direction Informed End-to-End Multi-channel Target Speech Separation by Rongzhi Gu et al
01-02-2020	Reasoning on Knowledge Graphs with Debate Dynamics by Marcel Hildebrandt et al
01-01-2020	Options of Interest: Temporal Abstraction with Interest Functions by Khimya Khetarpal et al
12-31-2019	Leveraging Semi-Supervised Learning for Fairness using Neural Networks by Vahid Noroozi et al
12-31-2019	Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity by Shiyu Liang et al
12-31-2019	Protecting GANs against privacy attacks by preventing overfitting by Sumit Mukherjee et al
01-01-2020	Deep Learning for Learning Graph Representations by Wenwu Zhu et al
12-31-2019	The Gamblers Problem and Beyond by Baoxiang Wang et al
12-31-2019	PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction by Sangdon Park et al
12-31-2019	Stochastic gradient-free descents by Xiaopeng Luo et al