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03/11/2021
Holistic 3D Scene Understanding from a Single Image with Implicit Representation
We present a new pipeline for holistic 3D scene understanding from a sin...
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02/24/2021
TeethTap: Recognizing Discrete Teeth Gestures Using Motion and Acoustic Sensing on an Earpiece
Teeth gestures become an alternative input modality for different situat...
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02/22/2021
WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic
Identifying "superspreaders" of disease is a pressing concern for societ...
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02/17/2021
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Object frequencies in daily scenes follow a long-tailed distribution. Ma...
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01/22/2021
Estimating α-Rank by Maximizing Information Gain
Game theory has been increasingly applied in settings where the game is ...
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12/01/2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
Variational Bayesian phylogenetic inference (VBPI) provides a promising ...
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11/26/2020
True-data Testbed for 5G/B5G Intelligent Network
Future beyond fifth-generation (B5G) and sixth-generation (6G) mobile co...
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11/02/2020
Reinforcement Learning with Efficient Active Feature Acquisition
Solving real-life sequential decision making problems under partial obse...
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10/28/2020
A Study on Efficiency in Continual Learning Inspired by Human Learning
Humans are efficient continual learning systems; we continually learn ne...
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10/23/2020
Generating Adequate Distractors for Multiple-Choice Questions
This paper presents a novel approach to automatic generation of adequate...
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10/23/2020
Extracting Body Text from Academic PDF Documents for Text Mining
Accurate extraction of body text from PDF-formatted academic documents i...
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10/21/2020
How Do Fair Decisions Fare in Long-term Qualification?
Although many fairness criteria have been proposed for decision making, ...
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10/15/2020
Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things
Nowadays, Deep Learning as a service can be deployed in Internet of Thin...
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10/04/2020
Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management
People increasingly use social media to report emergencies, seek help or...
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10/04/2020
Meta Sequence Learning and Its Applications
We present a meta-sequence representation of sentences and demonstrate h...
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08/09/2020
Intervention Generative Adversarial Networks
In this paper we propose a novel approach for stabilizing the training p...
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07/23/2020
Hide-and-Seek Privacy Challenge
The clinical time-series setting poses a unique combination of challenge...
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07/23/2020
Diagnostic Questions:The NeurIPS 2020 Education Challenge
Digital technologies are becoming increasingly prevalent in education, e...
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07/16/2020
DRIFT: Deep Reinforcement Learning for Functional Software Testing
Efficient software testing is essential for productive software developm...
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07/06/2020
Meta-Learning for Variational Inference
Variational inference (VI) plays an essential role in approximate Bayesi...
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06/23/2020
ACOUSTIC-TURF: Acoustic-based Privacy-Preserving COVID-19 Contact Tracing
In this paper, we propose a new privacy-preserving, automated contact tr...
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06/21/2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Deep generative models often perform poorly in real-world applications d...
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06/13/2020
Dynamic gesture retrieval: searching videos by human pose sequence
The number of static human poses is limited, it is hard to retrieve the ...
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06/07/2020
Thoracic Disease Identification and Localization using Distance Learning and Region Verification
The identification and localization of diseases in medical images using ...
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05/20/2020
Attention-based network for low-light image enhancement
The captured images under low light conditions often suffer insufficient...
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05/03/2020
A Causal View on Robustness of Neural Networks
We present a causal view on the robustness of neural networks against in...
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04/06/2020
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight
Current state-of-the-art neural dialogue models learn from human convers...
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03/12/2020
Large-Scale Educational Question Analysis with Partial Variational Auto-encoders
Online education platforms enable teachers to share a large number of ed...
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03/02/2020
Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation
Current state-of-the-art neural dialogue systems are mainly data-driven ...
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02/18/2020
Assessing the Memory Ability of Recurrent Neural Networks
It is known that Recurrent Neural Networks (RNNs) can remember, in their...
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01/18/2020
Adaptive Parameterization for Neural Dialogue Generation
Neural conversation systems generate responses based on the sequence-to-...
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12/27/2019
On the identifiability of interaction functions in systems of interacting particles
Identifiability is of fundamental importance in the statistical learning...
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10/28/2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
The ability for policies to generalize to new environments is key to the...
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09/30/2019
Tightening Bounds for Variational Inference by Revisiting Perturbation Theory
Variational inference has become one of the most widely used methods in ...
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07/28/2019
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering
Visual question answering (Visual QA) has attracted significant attentio...
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06/04/2019
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation
Discovery of causal relations from observational data is essential for m...
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05/07/2019
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
Clinical decision making is challenging because of pathological complexi...
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01/03/2019
A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels
Image classification models built into visual support systems and other ...
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09/28/2018
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Making decisions requires information relevant to the task at hand. Many...
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08/11/2018
Learning Discriminative 3D Shape Representations by View Discerning Networks
In view-based 3D shape recognition, extracting discriminative visual rep...
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07/11/2018
Causal discovery in the presence of missing data
Missing data are ubiquitous in many domains such as healthcare. Dependin...
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05/28/2018
Non-bifurcating phylogenetic tree inference via the adaptive LASSO
Phylogenetic tree inference using deep DNA sequencing is reshaping our u...
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05/20/2018
Generalizing Tree Probability Estimation via Bayesian Networks
Probability estimation is one of the fundamental tasks in statistics and...
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04/13/2018
Non-rigid image registration using spatially region-weighted correlation ratio and GPU-acceleration
Objective: Non-rigid image registration with high accuracy and efficienc...
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04/08/2018
Active Mini-Batch Sampling using Repulsive Point Processes
The convergence speed of stochastic gradient descent (SGD) can be improv...
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02/02/2018
Signal Processing for MIMO-NOMA: Present and Future Challenges
Non-orthogonal multiple access (NOMA), as the newest member of the multi...
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01/30/2018
Cost- and Energy-Aware Multi-Flow Mobile Data Offloading Using Markov Decision Process
With the rapid increase in demand for mobile data, mobile network operat...
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01/30/2018
A Deep Reinforcement Learning Based Approach for Cost- and Energy-Aware Multi-Flow Mobile Data Offloading
With the rapid increase in demand for mobile data, mobile network operat...
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11/29/2017
Causality Refined Diagnostic Prediction
Applying machine learning in the health care domain has shown promising ...
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11/15/2017
