05092019

The Effect of Network Width on Stochastic Gradient
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Daniel S. Park
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05072019

Bayesian Optimization using Deep Gaussian Processes
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Ali Hebbal
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05092019

S44L: SelfSupervised SemiSupervised Learning
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Xiaohua Zhai
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05092019

Think Globally, Act Locally: A Deep Neural Network
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Rajat Sen
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05082019

Importance Weighted Hierarchical Variational Inference
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Artem Sobolev
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05092019

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05072019

REGAL: Transfer Learning For Fast Optimization of
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05072019

PocketCare: Tracking the Flu with Mobile Phones using
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05082019

AutoAssist: A Framework to Accelerate Training of Deep
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05072019

MASS: Masked Sequence to Sequence Pretraining for
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Kaitao Song
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05072019

Learning Unsupervised MultiView Stereopsis via Robust
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05092019

Interactive Image Generation Using Scene Graphs
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05102019

Selectivity Estimation with Deep Likelihood Models
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Zongheng Yang
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05092019

Evaluation of Machine Learning Classifiers for ZeroDay
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Qianru Zhou
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05102019

A Scheme for Continuous Input to the Tsetlin Machine
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05082019

Does Data Augmentation Lead to Positive Margin?
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Shashank Rajput
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05072019

Neural 3D Morphable Models: Spiral Convolutional
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Giorgos Bouritsas
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05082019

DataEfficient Mutual Information Neural Estimator
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Xiao Lin
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05102019

GANbased Deep Distributional Reinforcement Learning
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Yuxiu Hua
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05082019

Learning Embeddings into Entropic Wasserstein Spaces
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Charlie Frogner
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05102019

Supervized Segmentation with GraphStructured Deep
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Loic Landrieu
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05092019

Pretrain Soft QLearning with Imperfect Demonstrations
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Xiaoqin Zhang
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05072019

Understanding attention in graph neural networks
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Boris Knyazev
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05082019

Multifidelity classification using Gaussian processes:
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Francisco Sahli Costabal
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05072019

Learning to Interpret Satellite Images in Global Scale
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Burak Uzkent
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05102019

Reinforcement Learning in NonStationary Environments
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Sindhu Padakandla
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05102019

Attentionbased Deep Reinforcement Learning for
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Elaheh Barati
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05082019

PiNet: A Permutation Invariant Graph Neural Network for
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Peter Meltzer
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05082019

QSMGAN: Improved Quantitative Susceptibility Mapping
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Yicheng Chen
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05072019

Feature Selection and Feature Extraction in Pattern
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Benyamin Ghojogh
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05082019

MAP Inference via L2Sphere Linear Program
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Baoyuan Wu
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05082019

Generalized Dilation Neural Networks
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Gavneet Singh Chadha
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05092019

Random Function Priors for Correlation Modeling
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05082019

Reconstruction of PrivacySensitive Data from Protected
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Shideh Rezaeifar
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05072019

Toybox: A Suite of Environments for Experimental
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Emma Tosch
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05072019

Interpretable Outcome Prediction with Sparse Bayesian
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AnnaLena Popkes
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05072019

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Vu Nguyen
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05092019

Beta Survival Models
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David Hubbard
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05072019

Bayesian Optimization for Multiobjective Optimization
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Takashi Wada
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05072019

Adversarial Variational Embedding for Robust
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Xiang Zhang
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05072019

FANTrack: 3D MultiObject Tracking with Feature
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05092019

Twostage Bestscored Random Forest for Largescale
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05102019

Language Modeling with Deep Transformers
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Kazuki Irie
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05092019

Wearable Sensor Data Based Human Activity Recognition
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H. D. Nguyen
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05102019

Design of Artificial Intelligence Agents for Games
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Andrei Claudiu Roibu




05102019

Credit Scoring for MicroLoans
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05082019

3dSMRnet: Achieving a new quality of MPI system matrix
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05082019

Interpretable Subgroup Discovery in Treatment Effect
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05102019

Bayesian Optimized Continual Learning with Attention
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05092019

Differentially Private Learning with Adaptive Clipping
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Om Thakkar
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05092019

Traffic Queue Length and Pressure Estimation for Road
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Simon F. G. Ehlers




05102019

Quantifying Teaching Behaviour in Robot Learning from
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Aran Sena
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05082019

Universal Sound Separation
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05102019

On the Detection of Mutual Influences and Their
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Stefan Rudolph
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05102019

SinglePath NAS: DeviceAware Efficient ConvNet Design
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Dimitrios Stamoulis
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05072019

Rethinking Arithmetic for Deep Neural Networks
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George A. Constantinides




05102019

Domain Adversarial Reinforcement Learning for Partial
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Jin Chen
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05092019

When Deep Learning Met Code Search
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Jose Cambronero
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05092019

On the Linear Speedup Analysis of Communication
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05092019

Universal Adversarial Perturbations for Speech
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Paarth Neekhara
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05092019

Exploring the Hyperparameter Landscape of Adversarial
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Evelyn Duesterwald
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05102019

Predicting Path Failure In TimeEvolving Graphs
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Jia Li
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05072019

A Visual Programming Paradigm for Abstract Deep
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Srikanth Tamilselvam
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05082019

Training a Fast Object Detector for LiDAR Range Images
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Manuel Herzog
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05102019

Second Order Value Iteration in Reinforcement Learning
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Chandramouli Kamanchi
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05072019

Generating Realistic Unrestricted Adversarial Inputs
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Isaac Dunn
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05072019

FCCGAN: A Fully Connected and Convolutional Net
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Sukarna Barua
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05102019

AI in the media and creative industries
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Giuseppe Amato
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05082019

SAdam: A Variant of Adam for Strongly Convex Functions
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Guanghui Wang
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05082019

Multimodal Graph Fusion for Inductive Disease
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Gerome Vivar
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05102019

Hybrid Predictive Model: When an Interpretable Model
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Tong Wang
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05072019

Adversarially Robust Submodular Maximization under
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Dmitrii Avdiukhin
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05092019

Simulating Problem Difficulty in Arithmetic Cognition
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Sungjae Cho
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05102019

Interpreting and Evaluating Neural Network Robustness
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05082019

MetaPred: MetaLearning for Clinical Risk Prediction
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05072019

Accelerated Target Updates for Qlearning
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05092019

Integrating Tensor Similarity to Enhance Clustering
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Hong Peng
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05072019

UncertaintyAware Data Aggregation for Deep Imitation
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Yuchen Cui
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05082019

Smoothing Policies and Safe Policy Gradients
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Matteo Papini
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05072019

A Complementary Learning Systems Approach to Temporal
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Sam Blakeman
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05102019

Prioritybased Parameter Propagation for Distributed
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Anand Jayarajan
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05092019

Coresets for Minimum Enclosing Balls over Sliding
Windows
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Yanhao Wang
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05072019

Unified Adversarial Invariance
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Ayush Jaiswal
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05102019

Neuroscore: A Braininspired Evaluation Metric for
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Zhengwei Wang
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05072019

Object Exchangeability in Reinforcement Learning:
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John Mern
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05072019

A deep learning approach for analyzing the composition
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Muhammad Bilal
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05082019

Enhancing Crosstask Transferability of Adversarial
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Yunhan Jia
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05092019

Adversarial Defense Framework for Graph Neural Network
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Shen Wang
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05102019

Semisupervised and Population Based Training for Voice
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Oguz H. Elibol
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05072019

High Frequency Residual Learning for MultiScale Image
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Bowen Cheng
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05082019

BatchSize Independent Regret Bounds for the
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05102019

Talking with Your Hands: Scaling Hand Gestures and
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Okan Köpüklü
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05102019

Refined Complexity of PCA with Outliers
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Fedor V. Fomin
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05072019

Deep Landscape Forecasting for Realtime Bidding
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Kan Ren
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05092019

Path Design for CellularConnected UAV with
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05092019

Mitigating Deep Learning Vulnerabilities from
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Chris Einar San Agustin




05102019

A Contrastive Divergence for Combining Variational
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Francisco J. R. Ruiz
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05092019

A Bayesian Finite Mixture Model with Variable Selection
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Shu Wang
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05072019

A Generative Model for Sampling HighPerformance and
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Lior Deutsch
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05082019

Generative Model with Dynamic Linear Flow
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Huadong Liao
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05072019

Fmeasure Maximizing Logistic Regression
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Masaaki Okabe
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05072019

An Integrated MultiTimeScale Modeling for Solar
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Sakshi Mishra
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05072019

Ocular Diseases Diagnosis in Fundus Images using a Deep
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Yaroub Elloumi
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05092019

Adversarially Trained Autoencoders for
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Orhan Ocal
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05072019

Forest Representation Learning Guided by Margin
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ShenHuan Lv
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05092019

Bestscored Random Forest Density Estimation
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Hanyuan Hang
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05092019

Datadependent Sample Complexity of Deep Neural
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Colin Wei
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05072019

Collaborative and PrivacyPreserving Machine Teaching
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Yufei Han
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05102019

Assuring the Machine Learning Lifecycle: Desiderata,
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Rob Ashmore
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05102019

Formal Verification of InputOutput Mappings of Tree
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John Törnblom
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05102019

Multiple Independent Subspace Clusterings
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Xing Wang
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05072019

Transferable Knowledge for Lowcost Decision Making in
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Faiza Samreen
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05082019

A HardwareOriented and MemoryEfficient Method for CTC
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Siyuan Lu
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05072019

Guided Visual Exploration of Relations in Data Sets
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Kai Puolamäki
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05082019

Convolutional Neural Network for Intrusion Detection
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Gael Kamdem De Teyou
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05072019

A Comprehensive Analysis on Adversarial Robustness of
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Saima Sharmin
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05102019

An Open Source and Open Hardware Deep Learningpowered
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Daniele Palossi
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05092019

Compositional Coding for Collaborative Filtering
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Chenghao Liu
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05072019

On Applying Machine Learning/Object Detection Models
for Analysing Digitally Captured Physical Prototypes
from Engineering Design Projects
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Jorgen F. Erichsen
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05072019

Sparse multiresolution representations with adaptive
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Maria Peifer
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