2020.3.30 Learning papers

 

03-26-2020

A Survey of Deep Learning for Scientific Discovery
by Maithra Raghu et al

03-25-2020

Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
by Yonglong Tian et al

03-24-2020

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
by Junjie Hu et al

03-24-2020

Deformable Style Transfer
by Sunnie S. Y. Kim et al

03-25-2020

Mapping the Landscape of Artificial Intelligence Applications against COVID-19
by Joseph Bullock et al

03-25-2020

COVID-19 Image Data Collection
by Joseph Paul Cohen et al

03-25-2020

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
by Michal Rolínek et al

03-24-2020

ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images
by Charles N. Christensen et al

03-26-2020

On-the-Fly Adaptation of Source Code Models using Meta-Learning
by Disha Shrivastava et al

03-26-2020

Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
by Kiana Ehsani et al

03-26-2020

Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis
by James Houston et al

03-24-2020

Born-Again Tree Ensembles
by Thibaut Vidal et al

03-25-2020

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
by Ioannis D. Apostolopoulos et al

03-26-2020

Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
by Joelle Pineau et al

03-25-2020

Interval Neural Networks: Uncertainty Scores
by Luis Oala et al

03-26-2020

Are Labels Necessary for Neural Architecture Search?
by Chenxi Liu et al

03-25-2020

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks
by Muhammet Balcilar et al

03-26-2020

Image Generation Via Minimizing Fr\echet Distance in Discriminator Feature Space
by Khoa D. Doan et al

03-26-2020

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
by Xiong Zhang et al

03-26-2020

Nonconvex sparse regularization for deep neural networks and its optimality
by Ilsang Ohn et al

03-26-2020

Negative Margin Matters: Understanding Margin in Few-shot Classification
by Bin Liu et al

03-25-2020

iTAML: An Incremental Task-Agnostic Meta-learning Approach
by Jathushan Rajasegaran et al

03-26-2020

Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels
by Xianbin Lv et al

03-26-2020

DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems
by Sai Krishna Bashetty et al

03-26-2020

Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features
by Kai Qiao et al

03-25-2020

Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
by Hamid Jalalzai et al

03-27-2020

LIMP: Learning Latent Shape Representations with Metric Preservation Priors
by Luca Cosmo et al

03-25-2020

Deep Networks as Logical Circuits: Generalization and Interpretation
by Christopher Snyder et al

03-24-2020

Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
by Jiale Zhi et al

03-25-2020

Common-Knowledge Concept Recognition for SEVA
by Jitin Krishnan et al

03-24-2020

Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World
by Hansenclever F. Bassani et al

03-25-2020

Classification of the Chinese Handwritten Numbers with Supervised Projective Dictionary Pair Learning
by Rasool Ameri et al

03-24-2020

Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning
by Ali Mousavi et al

03-26-2020

Memory Enhanced Global-Local Aggregation for Video Object Detection
by Yihong Chen et al

03-26-2020

Instance Credibility Inference for Few-Shot Learning
by Yikai Wang et al

03-26-2020

A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference
by Fatemehsadat Mireshghallah et al

03-25-2020

R-FORCE: Robust Learning for Random Recurrent Neural Networks
by Yang Zheng et al

03-25-2020

Safety-Aware Hardening of 3D Object Detection Neural Network Systems
by Chih-Hong Cheng

03-26-2020

Estimating Treatment Effects with Observed Confounders and Mediators
by Shantanu Gupta et al

03-24-2020

Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study
by Luan Nguyen et al

03-24-2020

On Localizing a Camera from a Single Image
by Pradipta Ghosh et al

03-26-2020

Gryffin: An algorithm for Bayesian optimization for categorical variables informed by physical intuition with applications to chemistry
by Florian Häse et al

03-26-2020

Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images
by Qilei Chen et al

03-25-2020

Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce
by Guangda Huzhang et al

03-25-2020

Similarity of Neural Networks with Gradients
by Shuai Tang et al

03-26-2020

Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning
by Marcel F. Langer et al

03-25-2020

Preferential Batch Bayesian Optimization
by Eero Siivola et al

03-26-2020

Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting
by Saeed Khaki et al

03-26-2020

AirRL: A Reinforcement Learning Approach to Urban Air Quality Inference
by Huiqiang Zhong et al

03-24-2020

Incorporating Users Preference into Attributed Graph Clustering
by Wei Ye et al

03-24-2020

Efficient Algorithms for Multidimensional Segmented Regression
by Ilias Diakonikolas et al

03-24-2020

How deep is your encoder: an analysis of features descriptors for an autoencoder-based audio-visual quality metric
by Helard Martinez et al

03-24-2020

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis
by Björn W. Schuller et al

03-26-2020

Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks
by Zain Khan et al

03-25-2020

Not all domains are equally complex: Adaptive Multi-Domain Learning
by Ali Senhaji et al

03-27-2020

Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning
by Andreas Kirsch et al

03-27-2020

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
by Chaoyang He et al

03-24-2020

Hybrid Classification and Reasoning for Image-based Constraint Solving
by Maxime Mulamba et al

03-25-2020

Zeroth-order Optimization on Riemannian Manifolds
by Jiaxiang Li et al

03-24-2020

Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
by Rohan Chabra et al

03-27-2020

Piecewise linear activations substantially shape the loss surfaces of neural networks
by Fengxiang He et al

03-25-2020

Bayesian Sparsification Methods for Deep Complex-valued Networks
by Ivan Nazarov et al

03-25-2020

Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
by Jun Yang et al

03-24-2020

Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
by Ali Narin et al

03-25-2020

Unsupervised domain adaptation with exploring more statistics and discriminative information
by Yuntao Du et al

03-26-2020

Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models
by Pranav Agarwal et al

03-25-2020

Solving Ravens Progressive Matrices with Multi-Layer Relation Networks
by Marius Jahrens et al

03-24-2020

FADNet: A Fast and Accurate Network for Disparity Estimation
by Qiang Wang et al

03-26-2020

A lower bound for the ELBO of the Bernoulli Variational Autoencoder
by Robert Sicks et al

03-24-2020

PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks
by Junfeng Guo et al

03-24-2020

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
by Muhammad Abdullah Jamal et al

03-24-2020

A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers
by Saeed Anwar et al

03-24-2020

Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks)
by Piyush Gupta et al

03-25-2020

Volumization as a Natural Generalization of Weight Decay
by Liu Ziyin et al

03-26-2020

Financial Time Series Representation Learning
by Philippe Chatigny et al

03-26-2020

Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
by Ben Usman et al

03-24-2020

Towards Explainability of Machine Learning Models in Insurance Pricing
by Kevin Kuo et al

03-27-2020

Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
by Ali Samadzadeh et al

03-24-2020

PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM
by Ignacio Torroba et al

03-26-2020

Advances in Bayesian Probabilistic Modeling for Industrial Applications
by Sayan Ghosh et al

03-24-2020

Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory
by Berat Mert Albaba et al

03-25-2020

Pipelined Backpropagation at Scale: Training Large Models without Batches
by Atli Kosson et al

03-24-2020

COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images
by Ezz El-Din Hemdan et al

03-25-2020

FastDTW is approximate and Generally Slower than the Algorithm it Approximates
by Renjie Wu et al

03-27-2020

A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms
by Philip Amortila et al

03-26-2020

On the Optimization Dynamics of Wide Hypernetworks
by Etai Littwin et al

03-24-2020

Two-Step Surface Damage Detection Scheme using Convolutional Neural Network and Artificial Neural Neural
by Alice Yi Yang et al

03-25-2020

A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation
by Hongfeng You et al

03-27-2020

One-Shot GAN Generated Fake Face Detection
by Hadi Mansourifar et al

03-26-2020

Too many cooks: Coordinating multi-agent collaboration through inverse planning
by Rose E. Wang et al

03-25-2020

End-to-End Entity Classification on Multimodal Knowledge Graphs
by W. X. Wilcke et al

03-27-2020

Incorporating Expert Prior in Bayesian Optimisation via Space Warping
by Anil Ramachandran et al

03-26-2020

Pedestrian Models for Autonomous Driving Part II: high level models of human behaviour
by Fanta Camara et al

03-25-2020

Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
by Sahin Lale et al

03-26-2020

Sorting Big Data by Revealed Preference with Application to College Ranking
by Xingwei Hu

03-25-2020

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
by Bin Liu et al

03-25-2020

CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context
by Wenyu Zhang et al

03-24-2020

Adversarial Multi-Binary Neural Network for Multi-class Classification
by Haiyang Xu et al

03-25-2020

RelatIF: Identifying Explanatory Training Examples via Relative Influence
by Elnaz Barshan et al

03-24-2020

A Unified Framework for Multiclass and Multilabel Support Vector Machines
by Hoda Shajari et al

03-26-2020

Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations
by Karishma Sharma et al

03-25-2020

VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning
by Jongwon Choi et al

03-27-2020

An Investigation into the Stochasticity of Batch Whitening
by Lei Huang et al

03-25-2020

Generalized Canonical Correlation Analysis: A Subspace Intersection Approach
by Mikael Sørensen et al

03-24-2020

Learning Syntactic and Dynamic Selective Encoding for Document Summarization
by Haiyang Xu et al

03-26-2020

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding
by Seongsik Park et al

03-26-2020

HERS: Homomorphically Encrypted Representation Search
by Joshua J. Engelsma et al

03-25-2020

Boosting Ridge Regression for High Dimensional Data Classification
by Jakramate Bootkrajang

03-24-2020

TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks
by Tobias Czempiel et al

03-26-2020

Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm
by Ganesh Kumar M et al

03-26-2020

Distributed Kernel Ridge Regression with Communications
by Shao-Bo Lin et al

03-26-2020

Triad State Space Construction for Chaotic Signal Classification with Deep Learning
by Yadong Zhang et al

03-26-2020

A Collective Learning Framework to Boost GNN Expressiveness
by Mengyue Hang et al

03-24-2020

An empirical investigation of the challenges of real-world reinforcement learning
by Gabriel Dulac-Arnold et al

03-24-2020

Exploiting Event Cameras by Using a Network Grafting Algorithm
by Yuhuang Hu et al

03-26-2020

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets
by Yunpeng Zhao et al

03-24-2020

Generative ODE Modeling with Known Unknowns
by Ori Linial et al

03-24-2020

Distributional Reinforcement Learning with Ensembles
by Björn Lindenberg et al

03-25-2020

Design-unbiased statistical learning in survey sampling
by Luis Sanguiao Sande et al

03-25-2020

Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction
by Farbod Taymouri et al

03-26-2020

Algorithm-Based Fault Tolerance for Convolutional Neural Networks
by Kai Zhao et al

03-26-2020

Active Learning Approach to Optimization of Experimental Control
by Yadong Wu et al

03-24-2020

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!
by Claudia Schulz et al

03-26-2020

From unbiased MDI Feature Importance to Explainable AI for Trees
by Markus Loecher

03-25-2020

Adaptive Conditional Neural Movement Primitives via Representation Sharing Between Supervised and Reinforcement Learning
by M. Tuluhan Akbulut et al

03-25-2020

SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection
by Zhuoping Yu et al

03-27-2020

Can you hear me nownow? Sensitive comparisons of human and machine perception
by Michael A Lepori et al

03-24-2020

Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction
by Satya Narayan Shukla et al

03-26-2020

Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks
by Malu Zhang et al

03-24-2020

Quantum Semantic Learning by Reverse Annealing an Adiabatic Quantum Computer
by Lorenzo Rocutto et al

03-25-2020

Data Parallelism in Training Sparse Neural Networks
by Namhoon Lee et al

03-26-2020

Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression
by Ziang Liu et al

03-24-2020

Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection
by Y. Wu et al

03-24-2020

Multi-Scale Progressive Fusion Network for Single Image Deraining
by Kui Jiang et al

03-27-2020

Progressive Graph Convolutional Networks for Semi-Supervised Node Classification
by Negar Heidari et al

03-24-2020

TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications
by Kaiping Zheng et al

03-25-2020

Unsupervised Fuzzy eIX: Evolving Internal-eXternal Fuzzy Clustering
by Charles Aguiar et al

03-25-2020

MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection
by Rui She et al

03-25-2020

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning
by Vinay Joshi et al

03-27-2020

Probabilistic Regression for Visual Tracking
by Martin Danelljan et al

03-25-2020

Discriminative Viewer Identification using Generative Models of Eye Gaze
by Silvia Makowski et al

03-25-2020

Convergence of Recursive Stochastic Algorithms using Wasserstein Divergence
by Abhishek Gupta et al

03-25-2020

Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule
by Thanh Tung Khuat et al

03-24-2020

Dynamic Narrowing of VAE Bottlenecks Using GECO and L0L0 Regularization
by Cedric De Boom et al

03-26-2020

Adversarial System Variant Approximation to Quantify Process Model Generalization
by Julian Theis et al

03-24-2020

Dimension Independent Generalization Error with Regularized Online Optimization
by Xi Chen et al

03-24-2020

Registration by tracking for sequential 2D MRI
by Niklas Gunnarsson et al

03-27-2020

A copula-based visualization technique for a neural network
by Yusuke Kubo et al

03-27-2020

Optimization of genomic classifiers for clinical deployment: evaluation of Bayesian optimization for identification of predictive models of acute infection and in-hospital mortality
by Michael B. Mayhew et al

03-26-2020

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
by Fan Zhou et al

03-24-2020

Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning
by Naoko Koide-Majima et al

03-24-2020

Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer
by F. AL-Tam et al

03-26-2020

Bag of biterms modeling for short texts
by Anh Phan Tuan et al

03-25-2020

A general framework for causal classification
by Jiuyong Li et al

03-26-2020

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
by Gopal Sharma et al

03-26-2020

Fashion Landmark Detection and Category Classification for Robotics
by Thomas Ziegler et al

03-24-2020

Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices
by Saverio De Vito et al

03-26-2020

StrokeCoder: Path-Based Image Generation from Single Examples using Transformers
by Sabine Wieluch et al

03-24-2020

Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems
by Kengo Tajiri et al

03-26-2020

Incremental Learning Algorithm for Sound Event Detection
by Eunjeong Koh et al

03-27-2020

A light neural network for modulation detection under impairments
by Thomas Courtat et al

03-24-2020

Probabilistic forecasting approaches for extreme NO22 episodes: a comparison of models
by Sebastián Pérez Vasseur et al

03-26-2020

Obliviousness Makes Poisoning Adversaries Weaker
by Sanjam Garg et al

03-26-2020

Corella: A Private Multi Server Learning Approach based on Correlated Queries
by Hamidreza Ehteram et al

03-24-2020

Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness
by Thinh T. Doan et al

03-26-2020

Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks
by Bernardo Pérez Orozco et al

03-25-2020

Scalable Variational Gaussian Process Regression Networks
by Shibo Li et al

03-26-2020

Learning To Solve Differential Equations Across Initial Conditions
by Shehryar Malik et al

03-25-2020

Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples
by Alejandro Barredo-Arrieta et al

03-27-2020

Learning representations in Bayesian Confidence Propagation neural networks
by Naresh Balaji Ravichandran et al

03-27-2020

ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series
by Steven Elsworth et al

03-26-2020

Gaussian-Dirichlet Random Fields for Inference over High Dimensional Categorical Observations
by John E. San Soucie et al

03-26-2020

A New Gene Selection Algorithm using Fuzzy-Rough Set Theory for Tumor Classification
by Seyedeh Faezeh Farahbakhshian et al

03-24-2020

MetNet: A Neural Weather Model for Precipitation Forecasting
by Casper Kaae Sønderby et al

03-24-2020

An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
by Yunfeng Cai et al

03-24-2020

Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations
by Xiaolei Li et al

03-27-2020

Unsupervised Cross-Modal Audio Representation Learning from Unstructured Multilingual Text
by Alexander Schindler et al

03-25-2020

Robustness Analysis of the Data-Selective Volterra NLMS Algorithm
by Javad Sharafi et al

03-26-2020

On the adversarial robustness of DNNs based on error correcting output codes
by Bowen Zhang et al

03-24-2020

Capturing and Explaining Trajectory Singularities using Composite Signal Neural Networks
by Hippolyte Dubois et al

03-24-2020

Learn to Forget: User-Level Memorization Elimination in Federated Learning
by Yang Liu et al

03-27-2020

Boolean learning under noise-perturbations in hardware neural networks
by Louis Andreoli et al

03-27-2020

Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems
by Akhil Mathur et al

03-27-2020

A Hybrid-Order Distributed SGD Method for Non-Convex Optimization to Balance Communication Overhead, Computational Complexity, and Convergence Rate
by Naeimeh Omidvar et al

03-25-2020

Multi-faceted Trust-based Collaborative Filtering
by Noemi Mauro et al

03-25-2020

Session-based Suggestion of Topics for Geographic Exploratory Search
by Noemi Mauro et al

03-24-2020

Data-Driven Failure Prediction in Brittle Materials: A Phase-Field Based Machine Learning Framework
by Eduardo A. Barros de Moraes et al

03-24-2020

A Data-Efficient Sampling Method for Estimating Basins of Attraction Using Hybrid Active Learning (HAL)
by Xue-She Wang et al

03-27-2020

Using Machine Learning to Speed Up and Improve Calorimeter R&D
by Fedor Ratnikov

03-25-2020

A multivariate water quality parameter prediction model using recurrent neural network
by Dhruti Dheda et al

03-24-2020

Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning
by Hiroki Ikeuchi et al

03-27-2020

On the role of surrogates in the efficient estimation of treatment effects with limited outcome data
by Nathan Kallus et al

03-27-2020

Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss
by Yi Luo et al

03-26-2020

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud
by Shulin Zeng et al

03-24-2020

Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations
by Yunfeng Cai et al

03-24-2020

Multi-Lead ECG Classification via an Information-Based Attention Convolutional Neural Network
by Hao Tung et al

03-26-2020

A Machine Learning alternative to placebo-controlled clinical trials upon new diseases: A primer
by Ezequiel Alvarez et al

03-24-2020

Tree Index: A New Cluster Evaluation Technique
by A. H. Beg et al

03-27-2020

Closed-loop Parameter Identification of Linear Dynamical Systems through the Lens of Feedback Channel Coding Theory
by Ali Reza Pedram et al

03-24-2020

Q-Learning in Regularized Mean-field Games
by Berkay Anahtarci et al

03-27-2020

IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array
by Mustafa Ali et al

03-24-2020

Model-based Asynchronous Hyperparameter Optimization
by Louis C. Tiao et al

03-27-2020

On a minimum enclosing ball of a collection of linear subspaces
by Timothy Marrinan et al

03-24-2020

SOL: Effortless Device Support for AI Frameworks without Source Code Changes
by Nicolas Weber et al

03-24-2020

Bulbar ALS Detection Based on Analysis of Voice Perturbation and Vibrato
by Maxim Vashkevich et al

03-24-2020

Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation
by Yang Xu et al

03-25-2020

Overview of the TREC 2019 Fair Ranking Track
by Asia J. Biega et al

03-26-2020

Online and Real-time Object Tracking Algorithm with Extremely Small Matrices
by Jesmin Jahan Tithi et al

 
Craig Smith