01-29-2020
|
Bayesian Reasoning with Deep-Learned Knowledge
by
Jakob Knollmüller
et al
|
|
|
|
01-29-2020
|
Ensemble Grammar Induction For Detecting Anomalies in
Time Series
by
Yifeng Gao
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|
|
|
|
01-29-2020
|
Simulation of electron-proton scattering events by a
Feature-Augmented and Transformed Generative
Adversarial Network (FAT-GAN)
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Yasir Alanazi
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|
|
|
|
01-30-2020
|
Grassmannian Optimization for Online Tensor Completion
and Tracking in the t-SVD Algebra
by
Kyle Gilman
et al
|
|
|
|
01-28-2020
|
Multi-class Gaussian Process Classification with Noisy
Inputs
by
Carlos Villacampa-Calvo
et al
|
|
|
|
01-30-2020
|
How Does BN Increase Collapsed Neural Network Filters?
by
Sheng Zhou
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|
|
|
|
01-28-2020
|
Discrete Signal Processing with Set Functions
by
Markus Püschel
et al
|
|
|
|
01-28-2020
|
LIMITS: Lightweight Machine Learning for IoT Systems
with Resource Limitations
by
Benjamin Sliwa
et al
|
|
|
|
01-29-2020
|
Urban2Vec: Incorporating Street View Imagery and POIs
for Multi-Modal Urban Neighborhood Embedding
by
Zhecheng Wang
et al
|
|
|
|
01-29-2020
|
Hamiltonian Neural Networks for solving differential
equations
by
Marios Mattheakis
et al
|
|
|
|
01-30-2020
|
A Rigorous Framework for the Mean Field Limit of
Multilayer Neural Networks
by
Phan-Minh Nguyen
et al
|
|
|
|
01-29-2020
|
Multi-Marginal Optimal Transport Defines a Generalized
Metric
by
Liang Mi
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|
|
|
|
01-28-2020
|
Incorporating Joint Embeddings into Goal-Oriented
Dialogues with Multi-Task Learning
by
Firas Kassawat
et al
|
|
|
|
01-28-2020
|
Tri-graph Information Propagation for Polypharmacy Side
Effect Prediction
by
Hao Xu
et al
|
|
|
|
01-29-2020
|
The Tensor Brain: Semantic Decoding for Perception and
Memory
by
Volker Tresp
et al
|
|
|
|
01-28-2020
|
Identifying Mislabeled Data using the Area Under the
Margin Ranking
by
Geoff Pleiss
et al
|
|
|
|
01-29-2020
|
Unsupervised Anomaly Detection for X-Ray Images
by
Diana Davletshina
et al
|
|
|
|
01-30-2020
|
Image Embedded Segmentation: Combining Supervised and
Unsupervised Objectives through Generative Adversarial
Networks
by
C. T. Sari
et al
|
|
|
|
01-30-2020
|
Finite-time Analysis of Kullback-Leibler Upper
Confidence Bounds for Optimal Adaptive Allocation with
Multiple Plays and Markovian Rewards
by
Vrettos Moulos
|
|
|
|
01-28-2020
|
Online LiDAR-SLAM for Legged Robots with Robust
Registration and Deep-Learned Loop Closure
by
Milad Ramezani
et al
|
|
|
|
01-28-2020
|
Modelling and Quantifying Membership Information
Leakage in Machine Learning
by
Farhad Farokhi
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|
|
|
|
01-28-2020
|
Binary Classification from Positive Data with Skewed
Confidence
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Kazuhiko Shinoda
et al
|
|
|
|
01-29-2020
|
Semantic Adversarial Perturbations using Learnt
Representations
by
Isaac Dunn
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|
|
|
|
01-30-2020
|
Transport Gaussian Processes for Regression
by
Gonzalo Rios
|
|
|
|
01-29-2020
|
Compact recurrent neural networks for acoustic event
detection on low-energy low-complexity platforms
by
Gianmarco Cerutti
et al
|
|
|
|
01-28-2020
|
Privacy-Preserving Gaussian Process Regression -- A
Modular Approach to the Application of Homomorphic
Encryption
by
Peter Fenner
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|
|
|
|
01-30-2020
|
Scalable Psychological Momentum Forecasting in Esports
by
Alfonso White
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|
|
|
|
01-30-2020
|
A Study of Fitness Landscapes for Neuroevolution
by
Nuno M. Rodrigues
et al
|
|
|
|
01-28-2020
|
Fast quantum learning with statistical guarantees
by
Carlo Ciliberto
et al
|
|
|
|
01-28-2020
|
Parameter Sharing in Coagent Networks
by
Modjtaba Shokrian Zini
|
|
|
|
01-28-2020
|
The Indian Chefs Process
by
Patrick Dallaire
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|
|
|
|
01-28-2020
|
Regularization Helps with Mitigating Poisoning Attacks:
Distributionally-Robust Machine Learning Using the
Wasserstein Distance
by
Farhad Farokhi
|
|
|
|
01-30-2020
|
TCMI: a non-parametric mutual-dependence estimator for
multivariate continuous distributions
by
Benjamin Regler
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|
|
|
|
01-28-2020
|
Treatment effect estimation with disentangled latent
factors
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Weijia Zhang
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|
|
|
|
01-29-2020
|
Data integration and prediction models of photovoltaic
production from Brazilian northeastern
by
Hugo Abreu Mendes
et al
|
|
|
|
01-28-2020
|
Robust Method for Semantic Segmentation of Whole-Slide
Blood Cell Microscopic Image
by
Muhammad Shahzad
et al
|
|
|
|
01-30-2020
|
Fase-AL -- Adaptation of Fast Adaptive Stacking of
Ensembles for Supporting Active Learning
by
Agustín Alejandro Ortiz-Díaz
et al
|
|
|
|
01-28-2020
|
Margin Maximization as Lossless Maximal Compression
by
Nikolaos Nikolaou
et al
|
|
|
|
01-30-2020
|
An Implicit Attention Mechanism for Deep Learning
Pedestrian Re-identification Frameworks
by
Ehsan Yaghoubi
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|
|
|
|
01-30-2020
|
Sound field reconstruction in rooms: inpainting meets
superresolution
by
Francesc Lluís
et al
|
|
|
|
01-30-2020
|
Data Mining in Clinical Trial Text: Transformers for
Classification and Question Answering Tasks
by
Lena Schmidt
et al
|
|
|
|
01-28-2020
|
Update Aware Device Scheduling for Federated Learning
at the Wireless Edge
by
Mohammad Mohammadi Amiri
et al
|
|
|
|
01-28-2020
|
Learning to Catch Piglets in Flight
by
Ozan Çatal
et al
|
|
|
|
01-30-2020
|
Adversarial Training for Aspect-Based Sentiment
Analysis with BERT
by
Akbar Karimi
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|
|
|
|
01-28-2020
|
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot
Neural Architecture Search
by
Arber Zela
et al
|
|
|
|
01-28-2020
|
Towards Learning Multi-agent Negotiations via Self-Play
by
Yichuan Charlie Tang
|
|
|
|
01-29-2020
|
stream-learn -- open-source Python library for
difficult data stream batch analysis
by
Paweł Ksieniewicz
et al
|
|
|
|
01-29-2020
|
On Constraint Definability in Tractable Probabilistic
Models
by
Ioannis Papantonis
et al
|
|
|
|
01-29-2020
|
Under the Radar: Learning to Predict Robust Keypoints
for Odometry Estimation and Metric Localisation in
Radar
by
Dan Barnes
et al
|
|
|
|
01-28-2020
|
Controlling generative models with continuous factors
of variations
by
Antoine Plumerault
et al
|
|
|
|
01-28-2020
|
Landmark2Vec: An Unsupervised Neural Network-Based
Landmark Positioning Method
by
Alireza Razavi
|
|
|
|
01-29-2020
|
A Graph-Based Approach for Active Learning in
Regression
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Hongjing Zhang
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|
|
|
|
01-30-2020
|
NAViDAd: A No-Reference Audio-Visual Quality Metric
Based on a Deep Autoencoder
by
Helard Martinez
et al
|
|
|
|
01-30-2020
|
Optimized Feature Space Learning for Generating
Efficient Binary Codes for Image Retrieval
by
Abin Jose
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|
|
|
|
01-30-2020
|
Graph Convolution Machine for Context-aware Recommender
System
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Jiancan Wu
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|
|
|
|
01-30-2020
|
Analysing Affective Behavior in the First ABAW 2020
Competition
by
Dimitrios Kollias
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|
|
|
|
01-29-2020
|
Safe Predictors for Enforcing Input-Output
Specifications
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Stephen Mell
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|
|
|
|
01-28-2020
|
Multi-Source Deep Domain Adaptation for Quality Control
in Retail Food Packaging
by
Mamatha Thota
et al
|
|
|
|
01-30-2020
|
Better Multi-class Probability Estimates for Small Data
Sets
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Tuomo Alasalmi
et al
|
|
|
|
01-29-2020
|
Deep Channel Learning For Large Intelligent Surfaces
Aided mm-Wave Massive MIMO Systems
by
Ahmet M. Elbir
et al
|
|
|
|
01-28-2020
|
Physics-Guided Machine Learning for Scientific
Discovery: An Application in Simulating Lake
Temperature Profiles
by
Xiaowei Jia
et al
|
|
|
|
01-28-2020
|
Real-time Out-of-distribution Detection in
Learning-Enabled Cyber-Physical Systems
by
Feiyang Cai
et al
|
|
|
|
01-28-2020
|
OPFython: A Python-Inspired Optimum-Path Forest
Classifier
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Gustavo Henrique de Rosa
et al
|
|
|
|
01-30-2020
|
HAMLET -- A Learning Curve-Enabled Multi-Armed Bandit
for Algorithm Selection
by
Mischa Schmidt
et al
|
|
|
|
01-28-2020
|
IoT Behavioral Monitoring via Network Traffic Analysis
by
Arunan Sivanathan
|
|
|
|
01-28-2020
|
PulseSatellite: A tool using human-AI feedback loops
for satellite image analysis in humanitarian contexts
by
Tomaz Logar
et al
|
|
|
|
01-28-2020
|
CLCNet: Deep learning-based Noise Reduction for Hearing
Aids using Complex Linear Coding
by
Hendrik Schröter
et al
|
|
|
|
01-29-2020
|
Asymptotically Efficient Off-Policy Evaluation for
Tabular Reinforcement Learning
by
Ming Yin
et al
|
|
|
|
01-29-2020
|
Spiking Inception Module for Multi-layer Unsupervised
Spiking Neural Networks
by
Mingyuan Meng
et al
|
|
|
|
01-29-2020
|
GradientDICE: Rethinking Generalized Offline Estimation
of Stationary Values
by
Shangtong Zhang
et al
|
|
|
|
01-29-2020
|
On Learning Vehicle Detection in Satellite Video
by
Roman Pflugfelder
et al
|
|
|
|
01-29-2020
|
MEMO: A Deep Network for Flexible Combination of
Episodic Memories
by
Andrea Banino
et al
|
|
|
|
01-29-2020
|
Constructing Deep Neural Networks with a Priori
Knowledge of Wireless Tasks
by
Jia Guo
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|
|
|
|
01-29-2020
|
FOCUS: Dealing with Label Quality Disparity in
Federated Learning
by
Yiqiang Chen
et al
|
|
|
|
01-28-2020
|
An Adaptive and Near Parameter-free Evolutionary
Computation Approach Towards True Automation in AutoML
by
Benjamin Patrick Evans
et al
|
|
|
|
01-30-2020
|
Which way? Direction-Aware Attributed Graph Embedding
by
Zekarias T. Kefato
et al
|
|
|
|
01-30-2020
|
How Much and When Do We Need Higher-order Information
in Hypergraphs? A Case Study on Hyperedge Prediction
by
Se-eun Yoon
et al
|
|
|
|
01-30-2020
|
BUT Opensat 2019 Speech Recognition System
by
Martin Karafiát
et al
|
|
|
|
01-29-2020
|
REST: Robust and Efficient Neural Networks for Sleep
Monitoring in the Wild
by
Rahul Duggal
et al
|
|
|
|
01-30-2020
|
Black-Box Saliency Map Generation Using Bayesian
Optimisation
by
Mamuku Mokuwe
et al
|
|
|
|
01-29-2020
|
Kernel Selection for Modal Linear Regression: Optimal
Kernel and IRLS Algorithm
by
Ryoya Yamasaki
et al
|
|
|
|
01-30-2020
|
Continuous speech separation: dataset and analysis
by
Zhuo Chen
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|
|
|
|
01-29-2020
|
The Case for Bayesian Deep Learning
by
Andrew Gordon Wilson
|
|
|
|
01-28-2020
|
Dont Feed the Troll: Detecting Troll Behavior via
Inverse Reinforcement Learning
by
Luca Luceri
et al
|
|
|
|
01-28-2020
|
Interpretable Machine Learning Model for Early
Prediction of Mortality in Elderly Patients with
Multiple Organ Dysfunction Syndrome (MODS): a
Multicenter Retrospective Study and Cross Validation
by
Xiaoli Liu
et al
|
|
|
|
01-30-2020
|
The Direction-Aware, Learnable, Additive Kernels and
the Adversarial Network for Deep Floor Plan Recognition
by
Yuli Zhang
et al
|
|
|
|
01-29-2020
|
Pre-defined Sparsity for Low-Complexity Convolutional
Neural Networks
by
Souvik Kundu
et al
|
|
|
|
01-28-2020
|
Fast Graph Metric Learning via Gershgorin Disc
Alignment
by
Cheng Yang
et al
|
|
|
|
01-29-2020
|
Going beyond accuracy: estimating homophily in social
networks using predictions
by
George Berry
et al
|
|
|
|
01-29-2020
|
Unsupervised Pixel-level Road Defect Detection via
Adversarial Image-to-Frequency Transform
by
Jongmin Yu
et al
|
|
|
|
01-30-2020
|
A Hybrid Two-layer Feature Selection Method Using
GeneticAlgorithm and Elastic Net
by
Fatemeh Amini
et al
|
|
|
|
01-28-2020
|
Fast Rates for Online Prediction with Abstention
by
Gergely Neu
et al
|
|
|
|
01-28-2020
|
Bandit optimisation of functions in the Mat\ern kernel
RKHS
by
David Janz
et al
|
|
|
|
01-28-2020
|
Graph Neighborhood Attentive Pooling
by
Zekarias T. Kefato
et al
|
|
|
|
01-29-2020
|
Extreme Algorithm Selection With Dyadic Feature
Representation
by
Alexander Tornede
et al
|
|
|
|
01-28-2020
|
The KEEN Universe: An Ecosystem for Knowledge Graph
Embeddings with a Focus on Reproducibility and
Transferability
by
Mehdi Ali
et al
|
|
|
|
01-29-2020
|
Examining the Benefits of Capsule Neural Networks
by
Arjun Punjabi
et al
|
|
|
|
01-28-2020
|
Causal query in observational data with hidden
variables
by
Debo Cheng
et al
|
|
|
|
01-28-2020
|
Rich-Item Recommendations for Rich-Users via GCNN:
Exploiting Dynamic and Static Side Information
by
Amar Budhiraja
et al
|
|
|
|
01-28-2020
|
RIS Enhanced Massive Non-orthogonal Multiple Access
Networks: Deployment and Passive Beamforming Design
by
Xiao Liu
et al
|
|
|
|
01-28-2020
|
CSNNs: Unsupervised, Backpropagation-free Convolutional
Neural Networks for Representation Learning
by
Bonifaz Stuhr
et al
|
|
|
|
01-30-2020
|
NCVis: Noise Contrastive Approach for Scalable
Visualization
by
Aleksandr Artemenkov
et al
|
|
|
|
01-29-2020
|
Convergence Guarantees for Gaussian Process
Approximations Under Several Observation Models
by
George Wynne
et al
|
|
|
|
01-30-2020
|
Harnessing Code Switching to Transcend the Linguistic
Barrier
by
Ashiqur R. KhudaBukhsh
et al
|
|
|
|
01-30-2020
|
Non-Determinism in TensorFlow ResNets
by
Miguel Morin
et al
|
|
|
|
01-30-2020
|
Uncovering life-course patterns with causal discovery
and survival analysis
by
Bojan Kostic
et al
|
|
|
|
01-29-2020
|
Adversarial Incremental Learning
by
Ankur Singh
|
|
|
|
01-29-2020
|
Multi-Participant Multi-Class Vertical Federated
Learning
by
Siwei Feng
et al
|
|
|
|
01-29-2020
|
AVATAR -- Machine Learning Pipeline Evaluation Using
Surrogate Model
by
Tien-Dung Nguyen
et al
|
|
|
|
01-29-2020
|
Variational Autoencoders for Opponent Modeling in
Multi-Agent Systems
by
Georgios Papoudakis
et al
|
|
|
|
01-28-2020
|
Faster Activity and Data Detection in Massive Random
Access: A Multi-armed Bandit Approach
by
Jialin Dong
et al
|
|
|
|
01-29-2020
|
Improving Language Identification for Multilingual
Speakers
by
Andrew Titus
et al
|
|
|
|
01-30-2020
|
Towards a Kernel based Physical Interpretation of Model
Uncertainty
by
Rishabh Singh
et al
|
|
|
|
01-29-2020
|
ABSent: Cross-Lingual Sentence Representation Mapping
with Bidirectional GANs
by
Zuohui Fu
et al
|
|
|
|
01-29-2020
|
Learning Robust and Multilingual Speech Representations
by
Kazuya Kawakami
et al
|
|
|
|
01-29-2020
|
Audio-Visual Decision Fusion for WFST-based and seq2seq
Models
by
Rohith Aralikatti
et al
|
|
|
|
01-30-2020
|
Survey of Deep Reinforcement Learning for Motion
Planning of Autonomous Vehicles
by
Szilárd Aradi
|
|
|
|
01-29-2020
|
Bayesian Neural Architecture Search using A
Training-Free Performance Metric
by
Andrés Camero
et al
|
|
|
|
01-29-2020
|
A scale-dependent notion of effective dimension
by
Oksana Berezniuk
et al
|
|
|
|
01-29-2020
|
An Upper Bound of the Bias of Nadaraya-Watson Kernel
Regression under Lipschitz Assumptions
by
Samuele Tosatto
et al
|
|
|
|
01-28-2020
|
Data-driven control of micro-climate in buildings; an
event-triggered reinforcement learning approach
by
Ashkan Haji Hosseinloo
et al
|
|
|
|
01-30-2020
|
A tutorial on ensembles and deep learning fusion with
MNIST as guiding thread: A complex heterogeneous fusion
scheme reaching 10 digits error
by
S. Tabik
et al
|
|
|
|
01-28-2020
|
MSE-Optimal Neural Network Initialization via Layer
Fusion
by
Ramina Ghods
et al
|
|
|
|
01-29-2020
|
A4 : Evading Learning-based Adblockers
by
Shitong Zhu
et al
|
|
|
|
01-29-2020
|
Functional Sequential Treatment Allocation with
Covariates
by
Anders Bredahl Kock
et al
|
|
|
|
01-29-2020
|
Adversarial Attacks on Convolutional Neural Networks in
Facial Recognition Domain
by
Yigit Alparslan
et al
|
|
|
|
01-28-2020
|
Time-Domain Audio Source Separation Based on Wave-U-Net
Combined with Discrete Wavelet Transform
by
Tomohiko Nakamura
et al
|
|
|
|
01-30-2020
|
Learning Discrete Distributions by Dequantization
by
Emiel Hoogeboom
et al
|
|
|
|
01-28-2020
|
Reservoir computing model of two-dimensional turbulent
convection
by
Sandeep Pandey
et al
|
|
|
|
01-28-2020
|
Real-time calibration of coherent-state receivers:
learning by trial and error
by
M. Bilkis
et al
|
|
|
|
01-28-2020
|
Distal Explanations for Explainable Reinforcement
Learning Agents
by
Prashan Madumal
et al
|
|
|
|
01-30-2020
|
Improving the Robustness of Graphs through
Reinforcement Learning and Graph Neural Networks
by
Victor-Alexandru Darvariu
et al
|
|
|
|
01-28-2020
|
Residual Tangent Kernels
by
Etai Littwin
et al
|
|
|
|
01-28-2020
|
A Kernel Mean Embedding Approach to Reducing
Conservativeness in Stochastic Programming and Control
by
Jia-Jie Zhu
et al
|
|
|
|
01-28-2020
|
QActor: On-line Active Learning for Noisy Labeled
Stream Data
by
Taraneh Younesian
et al
|
|
|
|