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MusPy: A Toolkit for Symbolic Music Generation
In this paper, we present MusPy, an open source Python library for symbo...
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Deep Transfer Learning with Ridge Regression
The large amount of online data and vast array of computing resources en...
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A Simple Fix for Convolutional Neural Network via Coordinate Embedding
Convolutional Neural Networks (CNN) has been widely applied in the realm...
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Single Image Portrait Relighting
Lighting plays a central role in conveying the essence and depth of the ...
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MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
In general-purpose particle detectors, the particle flow algorithm may b...
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Recent Advances in Algorithmic High-Dimensional Robust Statistics
Learning in the presence of outliers is a fundamental problem in statist...
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What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer
Visual kinship recognition aims to identify blood relatives from facial ...
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Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans
In this paper, we address the problem of forecasting agent trajectories ...
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Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
Drawing an analogy with automatic image completion systems, we propose M...
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A Deep Factorization of Style and Structure in Fonts
We propose a deep factorization model for typographic analysis that dise...
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Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
We present Uncertainty-aware Cascaded Stereo Network (UCS-Net) for 3D re...
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Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
Image space feature detection is the act of selecting points or parts of...
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ExKMC: Expanding Explainable k-Means Clustering
Despite the popularity of explainable AI, there is limited work on effec...
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Unaligned Image-to-Sequence Transformation with Loop Consistency
We tackle the problem of modeling sequential visual phenomena. Given exa...
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Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement
Generic Image recognition is a fundamental and fairly important visual p...
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Faster Boosting with Smaller Memory
The two state-of-the-art implementations of boosted trees: XGBoost and L...
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A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
When trained effectively, the Variational Autoencoder (VAE) is both a po...
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Patient Specific Biomechanics Are Clinically Significant In Accurate Computer Aided Surgical Image Guidance
Augmented Reality is used in Image Guided surgery (AR IG) to fuse surgic...
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Minimax Semiparametric Learning With Approximate Sparsity
Many objects of interest can be expressed as a linear, mean square conti...
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Complete the Look: Scene-based Complementary Product Recommendation
Modeling fashion compatibility is challenging due to its complexity and ...
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The Optimal Approximation Factor in Density Estimation
Consider the following problem: given two arbitrary densities q_1,q_2 an...
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Morphing and Sampling Network for Dense Point Cloud Completion
3D point cloud completion, the task of inferring the complete geometric ...
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Normal Assisted Stereo Depth Estimation
Accurate stereo depth estimation plays a critical role in various 3D tas...
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Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines
Restricted Boltzmann machines (RBMs) are a powerful class of generative ...
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Model Extraction and Active Learning
Machine learning is being increasingly used by individuals, research ins...
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CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs
This paper proposes CodeX, an end-to-end framework that facilitates enco...
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"Looking at the right stuff" – Guided semantic-gaze for autonomous driving
In recent years, predicting driver's focus of attention has been a very ...
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Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices
Recent advances demonstrate that irregularly wired neural networks from ...
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Progressive Growing of Neural ODEs
Neural Ordinary Differential Equations (NODEs) have proven to be a power...
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The Impact of Explanations on AI Competency Prediction in VQA
Explainability is one of the key elements for building trust in AI syste...
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Associative Convolutional Layers
Motivated by the necessity for parameter efficiency in distributed machi...
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Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions
Automatic music generation is an interdisciplinary research topic that c...
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Experimental Design for Bathymetry Editing
We describe an application of machine learning to a real-world computer ...
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Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Long-tail recognition tackles the natural non-uniformly distributed data...
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SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
Unsupervised learning for visual perception of 3D geometry is of great i...
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Bio-Inspired Hashing for Unsupervised Similarity Search
The fruit fly Drosophila's olfactory circuit has inspired a new locality...
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SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics
Traditional control and task automation have been successfully demonstra...
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Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
Parking spaces are costly to build, parking payments are difficult to en...
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Comparison of Neural Network Architectures for Spectrum Sensing
Different neural network (NN) architectures have different advantages. C...
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Forced Spatial Attention for Driver Foot Activity Classification
This paper provides a simple solution for reliably solving image classif...
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Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin
We study the problem of properly learning large margin halfspaces in th...
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Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge
A driver's gaze is critical for determining the driver's attention level...
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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
Autonomous driving has attracted remarkable attention from both industry...
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An adaptive nearest neighbor rule for classification
We introduce a variant of the k-nearest neighbor classifier in which k i...
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Visualizing the PHATE of Neural Networks
Understanding why and how certain neural networks outperform others is k...
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Learning from Interventions using Hierarchical Policies for Safe Learning
Learning from Demonstrations (LfD) via Behavior Cloning (BC) works well ...
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Target driven visual navigation exploiting object relationships
Recently target driven visual navigation strategies have gained a lot of...
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Learning Navigation Costs from Demonstration with Semantic Observations
This paper focuses on inverse reinforcement learning (IRL) for autonomou...
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Semi-supervised source localization in reverberant environments with deep generative modeling
A semi-supervised approach to acoustic source localization in reverberan...
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Concept Mask: Large-Scale Segmentation from Semantic Concepts
Existing works on semantic segmentation typically consider a small numbe...
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