2020.7.13 Learning papers

 

07-08-2020

NVAE: A Deep Hierarchical Variational Autoencoder
by Arash Vahdat et al

07-08-2020

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
by Shakir Mohamed et al

07-07-2020

Strong Generalization and Efficiency in Neural Programs
by Yujia Li et al

07-08-2020

The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning
by Yuhuai Wu et al

07-08-2020

Pitfalls to Avoid when Interpreting Machine Learning Models
by Christoph Molnar et al

07-08-2020

Robust pricing and hedging via neural SDEs
by Patryk Gierjatowicz et al

07-08-2020

Self-Supervised Policy Adaptation during Deployment
by Nicklas Hansen et al

07-09-2020

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
by Kimin Lee et al

07-09-2020

Learning Graph Structure With A Finite-State Automaton Layer
by Daniel D. Johnson et al

07-09-2020

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
by Chuang Gan et al

07-09-2020

Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks
by Edmond Lezmi et al

07-07-2020

Machine Learning Classification of Kuiper Belt Populations
by Rachel A. Smullen et al

07-09-2020

One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
by Wenlong Huang et al

07-08-2020

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
by Filipe de Avila Belbute-Peres et al

07-07-2020

Provably Safe PAC-MDP Exploration Using Analogies
by Melrose Roderick et al

07-07-2020

Language Modeling with Reduced Densities
by Tai-Danae Bradley et al

07-09-2020

Improving Style-Content Disentanglement in Image-to-Image Translation
by Aviv Gabbay et al

07-09-2020

Auxiliary Tasks Speed Up Learning PointGoal Navigation
by Joel Ye et al

07-07-2020

The Go Transformer: Natural Language Modeling for Game Play
by David Noever et al

07-07-2020

Off-Policy Evaluation via the Regularized Lagrangian
by Mengjiao Yang et al

07-08-2020

Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
by Adam Stooke et al

07-09-2020

A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
by Unnat Jain et al

07-08-2020

Quaternion Capsule Networks
by Barış Özcan et al

07-07-2020

Deep Reinforcement Learning and its Neuroscientific Implications
by Matthew Botvinick et al

07-08-2020

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
by Sophia Bano et al

07-08-2020

A Natural Actor-Critic Algorithm with Downside Risk Constraints
by Thomas Spooner et al

07-08-2020

Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound
by Richard Droste et al

07-09-2020

InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
by Kwot Sin Lee et al

07-09-2020

Wandering Within a World: Online Contextualized Few-Shot Learning
by Mengye Ren et al

07-08-2020

Stochastic Hamiltonian Gradient Methods for Smooth Games
by Nicolas Loizou et al

07-08-2020

Remix: Rebalanced Mixup
by Hsin-Ping Chou et al

07-07-2020

Hierarchical nucleation in deep neural networks
by Diego Doimo et al

07-08-2020

PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing
by Saeid Asgari Taghanaki et al

07-07-2020

See, Hear, Explore: Curiosity via Audio-Visual Association
by Victoria Dean et al

07-07-2020

3D Topology Transformation with Generative Adversarial Networks
by Luca Stornaiuolo et al

07-09-2020

Assistive VR Gym: Using Interactions with Real People to Improve Virtual Assistive Robots
by Zackory Erickson et al

07-09-2020

Invertible Zero-Shot Recognition Flows
by Yuming Shen et al

07-08-2020

Attention-based Residual Speech Portrait Model for Speech to Face Generation
by Jianrong Wang et al

07-09-2020

Efficient detection of adversarial images
by Darpan Kumar Yadav et al

07-08-2020

A Critical Evaluation of Open-World Machine Learning
by Liwei Song et al

07-07-2020

RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
by Xingjian Li et al

07-08-2020

Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends
by Noman Haider et al

07-09-2020

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
by Hongyi Wang et al

07-08-2020

Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach
by Pai Chet Ng et al

07-07-2020

Learning Branching Heuristics for Propositional Model Counting
by Pashootan Vaezipoor et al

07-08-2020

Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way
by Ademola Oladosu et al

07-08-2020

Cultural Cartography with Word Embeddings
by Dustin S. Stoltz et al

07-09-2020

Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization
by Mayank Patwari et al

07-10-2020

New Oracle-Efficient Algorithms for Private Synthetic Data Release
by Giuseppe Vietri et al

07-07-2020

Structured (De)composable Representations Trained with Neural Networks
by Graham Spinks et al

07-09-2020

Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling
by Majid Ramezani et al

07-09-2020

Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning
by Jie Yang et al

07-08-2020

Less is More: Rejecting Unreliable Reviews for Product Question Answering
by Shiwei Zhang et al

07-08-2020

How benign is benign overfitting?
by Amartya Sanyal et al

07-08-2020

Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision
by Abhinav Shukla et al

07-08-2020

Learning Differential Equations that are Easy to Solve
by Jacob Kelly et al

07-09-2020

JBFnet -- Low Dose CT Denoising by Trainable Joint Bilateral Filtering
by Mayank Patwari et al

07-09-2020

Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment
by Abhishek Gupta et al

07-10-2020

Using Machine Learning to Detect Ghost Images in Automotive Radar
by Florian Kraus et al

07-07-2020

What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets
by Jianing Yang et al

07-07-2020

GOLD-NAS: Gradual, One-Level, Differentiable
by Kaifeng Bi et al

07-09-2020

Client Adaptation improves Federated Learning with Simulated Non-IID Clients
by Laura Rieger et al

07-09-2020

Improving Adversarial Robustness by Enforcing Local and Global Compactness
by Anh Bui et al

07-07-2020

Do Transformers Need Deep Long-Range Memory
by Jack W. Rae et al

07-07-2020

Defending Against Backdoors in Federated Learning with Robust Learning Rate
by Mustafa Safa Ozdayi et al

07-09-2020

Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques
by Yijun Zhao et al

07-07-2020

Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data
by Alireza Sadeghi et al

07-08-2020

SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
by Giulio Lovisotto et al

07-09-2020

Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks
by Shreyas Padhy et al

07-07-2020

Monitoring Browsing Behavior of Customers in Retail Stores via RFID Imaging
by Kamran Ali et al

07-07-2020

Efficient Learning of Generative Models via Finite-Difference Score Matching
by Tianyu Pang et al

07-08-2020

A Study of Gradient Variance in Deep Learning
by Fartash Faghri et al

07-10-2020

A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal
by Pavan Ravishankar et al

07-07-2020

Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization
by Xiaohan Ding et al

07-07-2020

README: REpresentation learning by fairness-Aware Disentangling MEthod
by Sungho Park et al

07-10-2020

Self-Reflective Variational Autoencoder
by Ifigeneia Apostolopoulou et al

07-10-2020

Detecting Malicious Accounts in Permissionless Blockchains using Temporal Graph Properties
by Rachit Agarwal et al

07-07-2020

Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artists
by Ardavan Bidgoli et al

07-08-2020

Combating Domain Shift with Self-Taught Labeling
by Jian Liang et al

07-07-2020

Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification
by Zexi Chen et al

07-10-2020

Impact of Legal Requirements on Explainability in Machine Learning
by Adrien Bibal et al

07-07-2020

An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning
by Wang Han et al

07-08-2020

Operation-Aware Soft Channel Pruning using Differentiable Masks
by Minsoo Kang et al

07-09-2020

Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images
by Joshua Bridge et al

07-10-2020

OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN
by Jaeyoung Huh et al

07-07-2020

Detection as Regression: Certified Object Detection by Median Smoothing
by Ping-yeh Chiang et al

07-07-2020

Near Optimal Provable Uniform Convergence in Off-Policy Evaluation for Reinforcement Learning
by Ming Yin et al

07-08-2020

Automatic Detection of Sexist Statements Commonly Used at the Workplace
by Dylan Grosz et al

07-09-2020

Building an Automated Gesture Imitation Game for Teenagers with ASD
by Linda Nanan Vallée et al

07-07-2020

Hierarchical and Unsupervised Graph Representation Learning with Loukass Coarsening
by Louis Béthune et al

07-08-2020

Hierarchical Graph Matching Networks for Deep Graph Similarity Learning
by Xiang Ling et al

07-07-2020

The curious case of developmental BERTology: On sparsity, transfer learning, generalization and the brain
by Xin Wang

07-08-2020

StructureBoost: Efficient Gradient Boosting for Structured Categorical Variables
by Brian Lucena

07-08-2020

Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
by Jiaojiao Fan et al

07-10-2020

Differentially Private Simple Linear Regression
by Daniel Alabi et al

07-09-2020

Contrastive Code Representation Learning
by Paras Jain et al

07-10-2020

Representations for Stable Off-Policy Reinforcement Learning
by Dibya Ghosh et al

07-09-2020

EVO-RL: Evolutionary-Driven Reinforcement Learning
by Ahmed Hallawa et al

07-07-2020

SiENet: Siamese Expansion Network for Image Extrapolation
by Xiaofeng Zhang et al

07-10-2020

Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing
by Yushan Liu et al

07-10-2020

Continual Adaptation for Deep Stereo
by Matteo Poggi et al

07-07-2020

Making Adversarial Examples More Transferable and Indistinguishable
by Junhua Zou et al

07-10-2020

VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users
by Adithya Ranga et al

07-07-2020

Personalized Federated Learning: An Attentive Collaboration Approach
by Yutao Huang et al

07-07-2020

Towards a practical measure of interference for reinforcement learning
by Vincent Liu et al

07-09-2020

Boundary thickness and robustness in learning models
by Yaoqing Yang et al

07-07-2020

Conditional gradient methods for stochastically constrained convex minimization
by Maria-Luiza Vladarean et al

07-08-2020

Adaptive Regret for Control of Time-Varying Dynamics
by Paula Gradu et al

07-07-2020

Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN
by Junghyun Lee et al

07-08-2020

MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts
by Nabeel Seedat

07-09-2020

A blueprint for building efficient Neural Network Differential Equation Solvers
by Akshunna S. Dogra

07-07-2020

A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks
by César A. Uribe et al

07-07-2020

Regional Image Perturbation Reduces LpLp Norms of Adversarial Examples While Maintaining Model-to-model Transferability
by Utku Ozbulak et al

07-08-2020

Robust Re-Identification by Multiple Views Knowledge Distillation
by Angelo Porrello et al

07-09-2020

Fast Transformers with Clustered Attention
by Apoorv Vyas et al

07-09-2020

AdaScale SGD: A User-Friendly Algorithm for Distributed Training
by Tyler B. Johnson et al

07-07-2020

BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning
by Vaikkunth Mugunthan et al

07-10-2020

Learning to Play Sequential Games versus Unknown Opponents
by Pier Giuseppe Sessa et al

07-10-2020

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
by Chinedu Innocent Nwoye et al

07-07-2020

Fast Training of Deep Neural Networks Robust to Adversarial Perturbations
by Justin Goodwin et al

07-08-2020

An Efficient Data Imputation Technique for Human Activity Recognition
by Ivan Miguel Pires et al

07-08-2020

Predicting the Accuracy of a Few-Shot Classifier
by Myriam Bontonou et al

07-10-2020

TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification
by Yushan Liu et al

07-08-2020

A Benchmark of Medical Out of Distribution Detection
by Tianshi Cao et al

07-08-2020

SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture
by Kevin Trebing et al

07-09-2020

Neural Architecture Search with GBDT
by Renqian Luo et al

07-09-2020

Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
by Shafi Goldwasser et al

07-07-2020

Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously
by Mikita Sazanovich et al

07-07-2020

Fast Bayesian Estimation of Spatial Count Data Models
by Prateek Bansal et al

07-10-2020

Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels
by Christof A. Bertram et al

07-10-2020

Scientific Discovery by Generating Counterfactuals using Image Translation
by Arunachalam Narayanaswamy et al

07-09-2020

The Trade-Offs of Private Prediction
by Laurens van der Maaten et al

07-07-2020

C2G-Net: Exploiting Morphological Properties for Image Classification
by Laurin Herbsthofer et al

07-10-2020

Impression Space from Deep Template Network
by Gongfan Fang et al

07-07-2020

Streaming Complexity of SVMs
by Alexandr Andoni et al

07-10-2020

Learning to plan with uncertain topological maps
by Edward Beeching et al

07-07-2020

Efficient and Parallel Separable Dictionary Learning
by Cristian Rusu et al

07-07-2020

An Accelerated DFO Algorithm for Finite-sum Convex Functions
by Yuwen Chen et al

07-07-2020

Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
by Yingxue Zhou et al

07-07-2020

Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature
by Jong Won Park

07-08-2020

Non-parametric Models for Non-negative Functions
by Ulysse Marteau-Ferey et al

07-10-2020

Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization
by Yunho Jeon et al

07-08-2020

Transparency Tools for Fairness in AI (Luskin)
by Mingliang Chen et al

07-08-2020

Robust Bayesian Classification Using an Optimistic Score Ratio
by Viet Anh Nguyen et al

07-08-2020

NASGEM: Neural Architecture Search via Graph Embedding Method
by Hsin-Pai Cheng et al

07-09-2020

nn-Reference Transfer Learning for Saliency Prediction
by Yan Luo et al

07-09-2020

Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK
by Yuanzhi Li et al

07-08-2020

On the relationship between class selectivity, dimensionality, and robustness
by Matthew L. Leavitt et al

07-09-2020

SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
by Boyuan Feng et al

07-07-2020

Sharp Analysis of Smoothed Bellman Error Embedding
by Ahmed Touati et al

07-10-2020

MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System
by Jinho Lee et al

07-08-2020

Distributed Training of Deep Learning Models: A Taxonomic Perspective
by Matthias Langer et al

07-09-2020

Multi-view Orthonormalized Partial Least Squares: Regularizations and Deep Extensions
by Li Wang et al

07-08-2020

Online probabilistic label trees
by Kalina Jasinska-Kobus et al

07-10-2020

Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning
by Matthias Hutsebaut-Buysse et al

07-07-2020

Gradient Descent Converges to Ridgelet Spectrum
by Sho Sonoda et al

07-07-2020

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
by Zhongkai Hao et al

07-07-2020

Meta-active Learning in Probabilistically-Safe Optimization
by Mariah L. Schrum et al

07-09-2020

IALE: Imitating Active Learner Ensembles
by Christoffer Löffler et al

07-07-2020

Robust Multi-Agent Multi-Armed Bandits
by Daniel Vial et al

07-09-2020

Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
by Adarsh K. Jeewajee et al

07-10-2020

ExpertNet: Adversarial Learning and Recovery Against Noisy Labels
by Amirmasoud Ghiassi et al

07-10-2020

Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss
by Kamil Nar et al

07-09-2020

SARS-CoV-2 virus RNA sequence classification and geographical analysis with convolutional neural networks approach
by Selcuk Yazar

07-10-2020

Algorithmic Fairness in Education
by René F. Kizilcec et al

07-10-2020

Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma
by Prasitthichai Naronglerdrit et al

07-08-2020

AutoLR: An Evolutionary Approach to Learning Rate Policies
by Pedro Carvalho et al

07-08-2020

Density Fixing: Simple yet Effective Regularization Method based on the Class Prior
by Masanari Kimura et al

07-09-2020

Predicting Court Decisions for Alimony: Avoiding Extra-legal Factors in Decision made by Judges and Not Understandable AI Models
by Fabrice Muhlenbach et al

07-08-2020

Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs
by Rana Abou Khamis et al

07-10-2020

Conditioned Time-Dilated Convolutions for Sound Event Detection
by Konstantinos Drossos et al

07-09-2020

Learning dynamical systems from data: a simple cross-validation perspective
by Boumediene Hamzi et al

07-08-2020

Making learning more transparent using conformalized performance prediction
by Matthew J. Holland

07-08-2020

Higher-order methods for convex-concave min-max optimization and monotone variational inequalities
by Brian Bullins et al

07-10-2020

Neural Knowledge Extraction From Cloud Service Incidents
by Manish Shetty et al

07-09-2020

Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients
by Hemang Chawla et al

07-09-2020

Multi-Agent Routing Value Iteration Network
by Quinlan Sykora et al

07-10-2020

Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games
by Amit Kadan et al

07-08-2020

URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks
by Meet P. Vadera et al

07-10-2020

Semi-supervised Learning for Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products
by Kai Bergermann et al

07-07-2020

Learning Combined Set Covering and Traveling Salesman Problem
by Yuwen Yang et al

07-09-2020

Automatic Detection of Major Freeway Congestion Events Using Wireless Traffic Sensor Data: A Machine Learning Approach
by Sanaz Aliari et al

07-09-2020

Biological credit assignment through dynamic inversion of feedforward networks
by William F. Podlaski et al

07-09-2020

Provably-Efficient Double Q-Learning
by Wentao Weng et al

07-08-2020

Robust Geodesic Regression
by Ha-Young Shin et al

07-08-2020

Supervised machine learning techniques for data matching based on similarity metrics
by Pim Verschuuren et al

07-07-2020

Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data
by Sergey E. Golovenkin et al

07-07-2020

An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
by Bubacarr Bah et al

07-07-2020

PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
by Aditya Pal et al

07-09-2020

Challenges of AI in Wireless Networks for IoT
by Ijaz Ahmad et al

07-09-2020

Multimodal price prediction
by Aidin Zehtab-Salmasi et al

07-08-2020

Detection of Gravitational Waves Using Bayesian Neural Networks
by Yu-Chiung Lin et al

07-07-2020

Single Shot MC Dropout Approximation
by Kai Brach et al

07-08-2020

MPC Protocol for G-module and its Application in Secure Compare and ReLU
by Qizhi Zhang et al

07-10-2020

Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference
by Hang Miao et al

07-09-2020

Behavioral analysis of support vector machine classifier with Gaussian kernel and imbalanced data
by Alaa Tharwat

07-07-2020

Adaptive Cascade Submodular Maximization
by Shaojie Tang et al

07-09-2020

Graph Convolutional Networks for Graphs Containing Missing Features
by Hibiki Taguchi et al

07-10-2020

Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJαα Model
by Ajitesh Srivastava et al

07-07-2020

Asymptotic behaviour of learning rates in Armijos condition
by Tuyen Trung Truong et al

07-07-2020

Network Embedding with Completely-imbalanced Labels
by Zheng Wang et al

07-09-2020

Multi-task Regularization Based on Infrequent Classes for Audio Captioning
by Emre Çakır et al

07-10-2020

ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
by Sławomir Kapka

07-09-2020

Learnable Hollow Kernels for Anatomical Segmentation
by Elizaveta Lazareva et al

07-09-2020

Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets
by Kunal Sharma et al

07-07-2020

Predictive Maintenance for Edge-Based Sensor Networks: A Deep Reinforcement Learning Approach
by Kevin Shen Hoong Ong et al

07-08-2020

A Nearest Neighbor Characterization of Lebesgue Points in Metric Measure Spaces
by Tommaso Cesari et al

07-08-2020

Dynamic social learning under graph constraints
by Konstantin Avrachenkov et al

07-07-2020

Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH)
by Yuqing Li et al

07-08-2020

Auto-Sklearn 2.0: The Next Generation
by Matthias Feurer et al

07-10-2020

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
by Mingyi Hong et al

07-09-2020

Fast Variational Learning in State-Space Gaussian Process Models
by Paul E. Chang et al

07-09-2020

A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
by Omar Darwiche Domingues et al

07-08-2020

Double Prioritized State Recycled Experience Replay
by Fanchen Bu

07-10-2020

Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions
by Philipp Grohs et al

07-07-2020

Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning
by Yawen Wu et al

07-07-2020

Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals
by Mohammad Idrees Bhat et al

07-09-2020

Maximum-and-Concatenation Networks
by Xingyu Xie et al

07-07-2020

Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks
by Doyup Lee et al

07-08-2020

An exploration of the influence of path choice in game-theoretic attribution algorithms
by Geoff Ward et al

07-10-2020

Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling
by Leonard K. M. Poon et al

07-08-2020

Attacking Split Manufacturing from a Deep Learning Perspective
by Haocheng Li et al

07-10-2020

Characteristics of Monte Carlo Dropout in Wide Neural Networks
by Joachim Sicking et al

07-09-2020

Graph-Based Continual Learning
by Binh Tang et al

07-10-2020

Generating Adversarial Inputs Using A Black-box Differential Technique
by João Batista Pereira Matos Juúnior et al

07-09-2020

Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint
by Georgios Amanatidis et al

07-10-2020

Robust Classification under Class-Dependent Domain Shift
by Tigran Galstyan et al

07-07-2020

Deep Ensemble Analysis for Imaging X-ray Polarimetry
by A. L. Peirson et al

07-10-2020

Price Optimization in Fashion E-commerce
by Sajan Kedia et al

07-09-2020

Expressivity of Deep Neural Networks
by Ingo Gühring et al

07-09-2020

Concept Bottleneck Models
by Pang Wei Koh et al

07-10-2020

Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing
by Begum Taskazan et al

07-08-2020

Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups
by Takanori Fujiwara et al

07-09-2020

Long Short-Term Memory Spiking Networks and Their Applications
by Ali Lotfi Rezaabad et al

07-07-2020

Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
by Shaocong Ma et al

07-08-2020

Simultaneous Estimation of X-ray Back-Scatter and Forward-Scatter using Multi-Task Learning
by Philipp Roser et al

07-08-2020

Linear Tensor Projection Revealing Nonlinearity
by Koji Maruhashi et al

07-09-2020

A Policy Gradient Method for Task-Agnostic Exploration
by Mirco Mutti et al

07-08-2020

Statistical post-processing of wind speed forecasts using convolutional neural networks
by Simon Veldkamp et al

07-10-2020

Improved Analysis of UCRL2 with Empirical Bernstein Inequality
by Ronan Fruit et al

07-07-2020

A Survey of Real-Time Social-Based Traffic Detection
by Hashim Abu-gellban

07-09-2020

Predictive Value Generalization Bounds
by Keshav Vemuri et al

07-10-2020

Product age based demand forecast model for fashion retail
by Rajesh Kumar Vashishtha et al

07-07-2020

Backdoor attacks and defenses in feature-partitioned collaborative learning
by Yang Liu et al

07-07-2020

Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling
by Trygve Olav Fossum et al

07-08-2020

Binary Stochastic Filtering: feature selection and beyond
by Andrii Trelin et al

07-09-2020

When Humans and Machines Make Joint Decisions: A Non-Symmetric Bandit Model
by Sebastian Bordt et al

07-10-2020

Predicting Illegal Fishing on the Patagonia Shelf from Oceanographic Seascapes
by A. John Woodill et al

07-07-2020

Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search
by Kunal Pattanayak et al

07-09-2020

A deep learning approach to identify unhealthy advertisements in street view images
by Gregory Palmer et al

07-09-2020

Federated Learning of User Authentication Models
by Hossein Hosseini et al

07-09-2020

GAMA: a General Automated Machine learning Assistant
by Pieter Gijsbers et al

07-09-2020

Mechanisms for Hiding Sensitive Genotypes with Information-Theoretic Privacy
by Fangwei Ye et al

07-09-2020

Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule
by Xiangming Meng

07-09-2020

Resource Aware Multifidelity Active Learning for Efficient Optimization
by Francesco Grassi et al

07-10-2020

Multi-future Merchant Transaction Prediction
by Chin-Chia Michael Yeh et al

07-08-2020

A One-step Approach to Covariate Shift Adaptation
by Tianyi Zhang et al

07-09-2020

Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
by Vihari Piratla et al

07-07-2020

A Variational Formula for R\enyi Divergences
by Jeremiah Birrell et al

07-08-2020

Semi-Supervised Learning with Meta-Gradient
by Xin-Yu Zhang et al

07-07-2020

Meta-Learning with Network Pruning
by Hongduan Tian et al

07-10-2020

Deep Surrogate Models for Multi-dimensional Regression of Reactor Power
by Akshay J. Dave et al

07-10-2020

Reactive Soft Prototype Computing for Concept Drift Streams
by Christoph Raab et al

07-07-2020

Estimation and Inference with Trees and Forests in High Dimensions
by Vasilis Syrganis et al

07-08-2020

Diverse Ensembles Improve Calibration
by Asa Cooper Stickland et al

07-08-2020

Approximation with Neural Networks in Variable Lebesgue Spaces
by Ángela Capel et al

07-09-2020

Capturing scattered discriminative information using a deep architecture in acoustic scene classification
by Hye-jin Shim et al

07-07-2020

Multivariate Time Series Classification Using Spiking Neural Networks
by Haowen Fang et al

07-09-2020

Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes
by Shaheer U. Saeed et al

07-07-2020

GraphOpt: Learning Optimization Models of Graph Formation
by Rakshit Trivedi et al

07-09-2020

Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits
by Aditya Ramesh et al

07-10-2020

How An Automated Gesture Imitation Game Can Improve Social Interactions With Teenagers With ASD
by Linda Nanan Vallée et al

07-07-2020

Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network
by Tianyu Mu et al

07-07-2020

Automated Formal Synthesis of Neural Barrier Certificates for Dynamical Models
by Andrea Peruffo et al

07-07-2020

Doubly infinite residual networks: a diffusion process approach
by Stefano Peluchetti et al

07-09-2020

Learning to Teach with Deep Interactions
by Yang Fan et al

07-09-2020

Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation
by Krishna Chaitanya et al

07-08-2020

Few-Shot One-Class Classification via Meta-Learning
by Ahmed Frikha et al

07-07-2020

Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization
by Rogan Morrow et al

07-09-2020

A Study on Encodings for Neural Architecture Search
by Colin White et al

07-09-2020

Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
by Yanjun Han et al

07-07-2020

RGCF: Refined Graph Convolution Collaborative Filering with concise and expressive embedding
by Kang Liu et al

07-07-2020

Dynamic Regret of Convex and Smooth Functions
by Peng Zhao et al

07-07-2020

Coded Computing for Federated Learning at the Edge
by Saurav Prakash et al

07-07-2020

Manifold Learning via Manifold Deflation
by Daniel Ting et al

07-07-2020

Near-tight closure bounds for Littlestone and threshold dimensions
by Badih Ghazi et al

07-07-2020

Robust Learning with Frequency Domain Regularization
by Weiyu Guo et al

07-08-2020

Unbiased Lift-based Bidding System
by Daisuke Moriwaki et al

07-07-2020

Learning from Data to Optimize Control in Precision Farming
by Alexander Kocian et al

07-07-2020

Robust Structured Statistical Estimation via Conditional Gradient Type Methods
by Jiacheng Zhuo et al

07-07-2020

Divide-and-Shuffle Synchronization for Distributed Machine Learning
by Weiyan Wang et al

07-09-2020

Let the Data Choose its Features: Differentiable Unsupervised Feature Selection
by Ofir Lindenbaum et al

07-08-2020

Linear-Time Algorithms for Adaptive Submodular Maximization
by Shaojie Tang

07-08-2020

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
by Huy Phan et al

07-09-2020

Multinomial Logit Bandit with Low Switching Cost
by Kefan Dong et al

07-08-2020

Incorporating prior knowledge about structural constraints in model identification
by Deepak Maurya et al

07-07-2020

Stochastic Linear Bandits Robust to Adversarial Attacks
by Ilija Bogunovic et al

07-10-2020

Variational Inference with Continuously-Indexed Normalizing Flows
by Anthony Caterini et al

07-09-2020

Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
by Tong Yu et al

07-07-2020

Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction
by Alexander Acker et al

07-10-2020

Next Waves in Veridical Network Embedding
by Owen G. Ward et al

07-07-2020

Sapphire: Automatic Configuration Recommendation for Distributed Storage Systems
by Wenhao Lyu et al

07-07-2020

One-Bit Compressed Sensing via One-Shot Hard Thresholding
by Jie Shen

07-09-2020

Probabilistic Value Selection for Space Efficient Model
by Gunarto Sindoro Njoo et al

07-09-2020

Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
by Florence Regol et al

07-08-2020

RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow
by Samuel Glass et al

07-07-2020

srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications
by Anh Tran et al

07-07-2020

Analytics of Longitudinal System Monitoring Data for Performance Prediction
by Ian J. Costello et al

07-09-2020

Intelligent Warehouse Allocator for Optimal Regional Utilization
by Girish Sathyanarayana et al

07-08-2020

Accelerated Sparse Bayesian Learning via Screening Test and Its Applications
by Yiping Jiang et al

07-08-2020

Learning from DPPs via Sampling: Beyond HKPV and symmetry
by Rémi Bardenet et al

07-07-2020

A Federated F-score Based Ensemble Model for Automatic Rule Extraction
by Kun Li et al

07-08-2020

Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions
by Serim Ryou et al

07-07-2020

Enable an Open Software Defined Mobility Ecosystem through VEC-OF
by Sanchu Han et al

07-09-2020

Multi-objective Clustering Algorithm with Parallel Games
by Dalila Kessira et al

07-10-2020

Generalized Maximum Entropy for Supervised Classification
by Santiago Mazuelas et al

07-07-2020

MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement
by Wei Chen et al

 
Craig Smith