03142019


To Tune or Not to Tune? Adapting Pretrained
Representations to Diverse Tasks
by
Matthew Peters
et al

Domain Adaptation & Transfer Learning

245

1

03132019


Functional Variational Bayesian Neural Networks
by
Shengyang Sun
et al

Bayesian Optimization & Variational Inference

66

0

03152019


SceneCode: Monocular Dense Semantic Reconstruction
using Learned Encoded Scene Representation
by
Shuaifeng Zhi
et al

Image Segmentation & Object

62

0

03142019


Learning Fast Algorithms for Linear Transforms Using
Butterfly Factorizations
by
Tri Dao
et al

Deep Neural Networks & Linear

49

0

03142019


Deep Reinforcement Learning with Feedbackbased
Exploration
by
Jan Scholten
et al

Reinforcement Learning & Agent

27

0

03132019


Improving Prostate Cancer Detection with Breast
Histopathology Images
by
Umair Akhtar Hasan Khan
et al

Image Segmentation & Object

26

0

03132019


DeepOBS: A Deep Learning Optimizer Benchmark Suite
by
Frank Schneider
et al

Word Embedding & Text

26

0

03132019


Diagnosing and Enhancing VAE Models
by
Bin Dai
et al

Generative Models & Autoencoder (VAE)

25

0

03132019


Variational Estimators for Bayesian Optimal
Experimental Design
by
Adam Foster
et al

Bayesian Optimization & Variational Inference

25

0

03132019


Benchmarking Natural Language Understanding Services
for building Conversational Agents
by
Xingkun Liu
et al

Word Embedding & Text

23

0

03142019


Inferring Personalized Bayesian Embeddings for Learning
from Heterogeneous Demonstration
by
Rohan Paleja
et al

Bayesian Optimization & Variational Inference

19

0

03152019


Multimodal Deep Learning for Finance: Integrating and
Forecasting International Stock Markets
by
Sang Il Lee
et al

Prediction & Demand

18

0

03142019


SimpleDet: A Simple and Versatile Distributed Framework
for Object Detection and Instance Recognition
by
Yuntao Chen
et al

Anomaly Detection & Object Detection

17

0

03142019


Improving Neural Architecture Search Image Classifiers
via Ensemble Learning
by
Vladimir Macko
et al

Neural Architecture Search (NAS) & Influence

16

0

03142019


Tucker Tensor Layer in Fully Connected Neural Networks
by
Giuseppe G. Calvi
et al

Tensor & User

16

0

03132019


What relations are reliably embeddable in Euclidean
space?
by
Robi Bhattacharjee
et al

Tensor & User

16

0

03132019


Understanding StraightThrough Estimator in Training
Activation Quantized Neural Nets
by
Penghang Yin
et al

Stochastic Gradient & Gradient Descent

15

0

03132019


DeepCount: Crowd Counting with WiFi via Deep Learning
by
Shangqing Liu
et al

Speech Recognition & End

14

1

03142019


Episodic Memory Reader: Learning What to Remember for
Question Answering from Streaming Data
by
Moonsu Han
et al

Continual Learning & Chip Memory

14

0

03132019


HardnessAware Deep Metric Learning
by
Wenzhao Zheng
et al

Wasserstein Distance & Mixture

13

0

03142019


Rectified Decision Trees: Towards Interpretability,
Compression and Empirical Soundness
by
Jiawang Bai
et al

Regression & Fairness

12

0

03142019


Attributiondriven Causal Analysis for Detection of
Adversarial Examples
by
Susmit Jha
et al

Adversarial Examples & Adversarial Attacks

12

0

03152019


MFAS: Multimodal Fusion Architecture Search
by
JuanManuel PérezRúa
et al

Neural Architecture Search (NAS) & Influence

11

0

03132019


GASC: GenreAware Semantic Change for Ancient Greek
by
Valerio Perrone
et al

Word Embedding & Text

11

2

03132019


Fuzzy Rough Set Feature Selection to Enhance Phishing
Attack Detection
by
Mahdieh Zabihimayvan
et al

Feature Selection & Malware

10

0

03132019


Uncertainty Aware Learning from Demonstrations in
Multiple Contexts using Bayesian Neural Networks
by
Sanjay Thakur
et al

Bayesian Optimization & Variational Inference

10

0

03152019


A Faster Algorithm Enumerating Relevant Features over
Finite Fields
by
Mikito Nanashima

Deep Neural Networks & Linear

9

0

03152019


A MultiAgent OffPolicy ActorCritic Algorithm for
Distributed Reinforcement Learning
by
Wesley Suttle
et al

Agent Reinforcement Learning & Multiagent
Reinforcement

9

0

03132019


Improving Transparency of Deep Neural Inference Process
by
Hiroshi Kuwajima
et al

Explanation & Blackbox

9

0

03142019


gymgazebo2, a toolkit for reinforcement learning using
ROS 2 and Gazebo
by
Nestor Gonzalez Lopez
et al

Reinforcement Learning & Agent

9

0

03142019


Successive Refinement of Images with Deep Joint
SourceChannel Coding
by
David Burth Kurka
et al

Image Segmentation & Object

9

0

03152019


Tuning Hyperparameters without Grad Students: Scalable
and Robust Bayesian Optimisation with Dragonfly
by
Kirthevasan Kandasamy
et al

Bayesian Optimization & Variational Inference

8

0

03132019


Personal Dynamic CostAware Sensing for Latent Context
Detection
by
Saar Tal
et al

Other

8

0

03142019


Stochastic Beams and Where to Find Them: The
GumbelTopk Trick for Sampling Sequences Without
Replacement
by
Wouter Kool
et al

Generative Models & Autoencoder (VAE)

8

0

03152019


Deep Neural Network Ensembles for Time Series
Classification
by
H. Ismail Fawaz
et al

Time Series Classification & Time Series
Forecasting

8

0

03132019


Efficient SearchBased Weighted Model Integration
by
Zhe Zeng
et al

Neural Architecture Search (NAS) & Influence

7

0

03152019


A Ranking Model Motivated by Nonnegative Matrix
Factorization with Applications to Tennis Tournaments
by
Rui Xia
et al

Kernel Learning & Lowrank

7

0

03142019


Stripe: Tensor Compilation via the Nested Polyhedral
Model
by
Tim Zerrell
et al

Explanation & Blackbox

7

0

03142019


Deep Switch Networks for Generating Discrete Data and
Language
by
Payam Delgosha
et al

Word Embedding & Text

7

0

03132019


Maybe Deep Neural Networks are the Best Choice for
Modeling Source Code
by
RafaelMichael Karampatsis
et al

Word Embedding & Text

7

0

03142019


Inefficiency of KFAC for Large Batch Size Training
by
Linjian Ma
et al

Stochastic Gradient & Gradient Descent

6

0

03132019


Resource Abstraction for Reinforcement Learning in
Multiagent Congestion Problems
by
Kleanthis Malialis
et al

Reinforcement Learning & Agent

6

0

03132019


Effective reinforcement learning based local search for
the maximum kplex problem
by
Yan Jin
et al

Reinforcement Learning & Agent

6

0

03142019


On Learning from Ghost Imaging without Imaging
by
Issei Sato

Image Segmentation & Object

6

0

03142019


Teaching with IMPACT
by
Carl Trimbach
et al

Explanation & Blackbox

5

0

03152019


Improving StrongScaling of CNN Training by Exploiting
FinerGrained Parallelism
by
Nikoli Dryden
et al

Continual Learning & Chip Memory

5

0

03142019


On Target Shift in Adversarial Domain Adaptation
by
Yitong Li
et al

Domain Adaptation & Transfer Learning

5

0

03152019


Rectified deep neural networks overcome the curse of
dimensionality for nonsmooth value functions in
zerosum games of nonlinear stiff systems
by
Christoph Reisinger
et al

Deep Neural Networks & Linear

5

0

03132019


Zeroshot Domain Adaptation Based on Attribute
Information
by
Masato Ishii
et al

Domain Adaptation & Transfer Learning

5

0

03152019


GEE: A Gradientbased Explainable Variational
Autoencoder for Network Anomaly Detection
by
Quoc Phong Nguyen
et al

Anomaly Detection & Object Detection

5

0

03142019


Superpixel Contracted GraphBased Learning for
Hyperspectral Image Classification
by
Philip Sellars
et al

Graph Neural Networks & Graph Convolutional
Networks

5

0

03152019


On Certifying Nonuniform Bound against Adversarial
Attacks
by
Chen Liu
et al

Adversarial Examples & Adversarial Attacks

5

0

03142019


Learning Dependency Structures for Weak Supervision
Models
by
Paroma Varma
et al

Noise & Label

5

0

03152019


MultiStage Fault Warning for Large Electric Grids
Using Anomaly Detection and Machine Learning
by
Sanjeev Raja
et al

Anomaly Detection & Object Detection

5

0

03132019


STUNet: A SpatioTemporal UNetwork for
Graphstructured Time Series Modeling
by
Bing Yu
et al

Prediction & Demand

5

0

03142019


Deep Distribution Regression
by
Rui Li
et al

Regression & Fairness

5

0

03132019


Gaussian Process Optimization with Adaptive Sketching:
Scalable and No Regret
by
Daniele Calandriello
et al

Bayesian Optimization & Variational Inference

5

0

03132019


Cardinality Estimation in a Virtualized Network Device
Using Online Machine Learning
by
Reuven Cohen
et al

Deep Neural Networks & Linear

5

0

03142019


DysLexML: Screening Tool for Dyslexia Using Machine
Learning
by
Thomais Asvestopoulou
et al

Explanation & Blackbox

4

0

03132019


Predicting classimbalanced business risk using
resampling, regularization, and model ensembling
algorithms
by
Yan Wang
et al

Regression & Fairness

4

0

03132019


Cleaning tasks knowledge transfer between heterogeneous
robots: a deep learning approach
by
Jaeseok Kim
et al

Reinforcement Learning & Agent

4

0

03142019


Constrained Mutual Convex Cone Method for Image Set
Based Recognition
by
Naoya Sogi
et al

Image Segmentation & Object

4

0

03142019


A New Approach for Distributed Hypothesis Testing with
Extensions to ByzantineResilience
by
Aritra Mitra
et al

Parallel & Distributed Learning

3

0

03142019


Learning Latent Representations of Bank Customers With
The Variational Autoencoder
by
Rogelio A Mancisidor
et al

Generative Models & Autoencoder (VAE)

3

0

03142019


A Research Agenda: Dynamic Models to Defend Against
Correlated Attacks
by
Ian Goodfellow

Adversarial Examples & Adversarial Attacks

3

0
