University of California, San Diego

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The University California, San Diego is one of the world's leading public research universities, located in beautiful La Jolla, California.

MusPy: A Toolkit for Symbolic Music Generation

In this paper, we present MusPy, an open source Python library for symbo...
08/05/2020 ∙ by Hao-Wen Dong, et al. ∙ 169 ∙ share

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Deep Transfer Learning with Ridge Regression

The large amount of online data and vast array of computing resources en...
06/11/2020 ∙ by Shuai Tang, et al. ∙ 76 ∙ share

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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...
03/24/2020 ∙ by Liliang Ren, et al. ∙ 59 ∙ share

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Single Image Portrait Relighting

Lighting plays a central role in conveying the essence and depth of the ...
05/02/2019 ∙ by Tiancheng Sun, et al. ∙ 50 ∙ share

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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...
01/21/2021 ∙ by Joosep Pata, et al. ∙ 41 ∙ share

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Recent Advances in Algorithmic High-Dimensional Robust Statistics

Learning in the presence of outliers is a fundamental problem in statist...
11/14/2019 ∙ by Ilias Diakonikolas, et al. ∙ 39 ∙ share

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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 ...
11/16/2019 ∙ by Pengyu Gao, et al. ∙ 37 ∙ share

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Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers

Neural networks are susceptible to small transformations including 2D ro...
06/30/2021 ∙ by Spandan Madan, et al. ∙ 32 ∙ share

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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 ...
01/03/2020 ∙ by Nachiket Deo, et al. ∙ 29 ∙ share

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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...
08/04/2020 ∙ by Ke Chen, et al. ∙ 29 ∙ share

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A Deep Factorization of Style and Structure in Fonts

We propose a deep factorization model for typographic analysis that dise...
10/02/2019 ∙ by Akshay Srivatsan, et al. ∙ 28 ∙ share

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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...
11/27/2019 ∙ by Shuo Cheng, et al. ∙ 27 ∙ share

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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...
12/09/2019 ∙ by Alexander Mai, et al. ∙ 27 ∙ share

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ExKMC: Expanding Explainable k-Means Clustering

Despite the popularity of explainable AI, there is limited work on effec...
06/03/2020 ∙ by Nave Frost, et al. ∙ 26 ∙ share

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Unaligned Image-to-Sequence Transformation with Loop Consistency

We tackle the problem of modeling sequential visual phenomena. Given exa...
10/09/2019 ∙ by Siyang Wang, et al. ∙ 25 ∙ share

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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...
08/22/2019 ∙ by Zhiqiang Shen, et al. ∙ 24 ∙ share

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Faster Boosting with Smaller Memory

The two state-of-the-art implementations of boosted trees: XGBoost and L...
01/25/2019 ∙ by Julaiti Alafate, et al. ∙ 22 ∙ share

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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...
09/02/2019 ∙ by Bohan Li, et al. ∙ 22 ∙ share

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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...
01/29/2020 ∙ by Michael Barrow, et al. ∙ 20 ∙ share

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Minimax Semiparametric Learning With Approximate Sparsity

Many objects of interest can be expressed as a linear, mean square conti...
12/27/2019 ∙ by Jelena Bradic, et al. ∙ 19 ∙ share

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Complete the Look: Scene-based Complementary Product Recommendation

Modeling fashion compatibility is challenging due to its complexity and ...
12/04/2018 ∙ by Wang-Cheng Kang, et al. ∙ 16 ∙ share

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The Optimal Approximation Factor in Density Estimation

Consider the following problem: given two arbitrary densities q_1,q_2 an...
02/10/2019 ∙ by Olivier Bousquet, et al. ∙ 16 ∙ share

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Morphing and Sampling Network for Dense Point Cloud Completion

3D point cloud completion, the task of inferring the complete geometric ...
11/30/2019 ∙ by Minghua Liu, et al. ∙ 16 ∙ share

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Normal Assisted Stereo Depth Estimation

Accurate stereo depth estimation plays a critical role in various 3D tas...
11/24/2019 ∙ by Uday Kusupati, et al. ∙ 15 ∙ share

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Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines

Restricted Boltzmann machines (RBMs) are a powerful class of generative ...
01/15/2020 ∙ by Haik Manukian, et al. ∙ 15 ∙ share

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Model Extraction and Active Learning

Machine learning is being increasingly used by individuals, research ins...
11/05/2018 ∙ by Varun Chandrasekaran, et al. ∙ 14 ∙ share

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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...
01/17/2019 ∙ by Mohammad Samragh, et al. ∙ 12 ∙ share

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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 ...
11/24/2019 ∙ by Anwesan Pal, et al. ∙ 12 ∙ share

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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 ...
03/04/2020 ∙ by Byung Hoon Ahn, et al. ∙ 12 ∙ share

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Progressive Growing of Neural ODEs

Neural Ordinary Differential Equations (NODEs) have proven to be a power...
03/08/2020 ∙ by Hammad A. Ayyubi, et al. ∙ 12 ∙ share

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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...
07/02/2020 ∙ by Kamran Alipour, et al. ∙ 12 ∙ share

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Associative Convolutional Layers

Motivated by the necessity for parameter efficiency in distributed machi...
06/10/2019 ∙ by Hamed Omidvar, et al. ∙ 11 ∙ share

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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...
02/05/2020 ∙ by Ke Chen, et al. ∙ 11 ∙ share

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Experimental Design for Bathymetry Editing

We describe an application of machine learning to a real-world computer ...
07/15/2020 ∙ by Julaiti Alafate, et al. ∙ 11 ∙ share

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Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

Long-tail recognition tackles the natural non-uniformly distributed data...
07/20/2020 ∙ by Tz-Ying Wu, et al. ∙ 11 ∙ share

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SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception

Unsupervised learning for visual perception of 3D geometry is of great i...
12/13/2018 ∙ by Yue Meng, et al. ∙ 10 ∙ share

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Bio-Inspired Hashing for Unsupervised Similarity Search

The fruit fly Drosophila's olfactory circuit has inspired a new locality...
01/14/2020 ∙ by Chaitanya K. Ryali, et al. ∙ 10 ∙ share

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Forster Decomposition and Learning Halfspaces with Noise

A Forster transform is an operation that turns a distribution into one w...
07/12/2021 ∙ by Ilias Diakonikolas, et al. ∙ 10 ∙ share

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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...
09/11/2019 ∙ by Yang Li, et al. ∙ 9 ∙ share

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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...
02/20/2019 ∙ by Bill Yang Cai, et al. ∙ 8 ∙ share

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Comparison of Neural Network Architectures for Spectrum Sensing

Different neural network (NN) architectures have different advantages. C...
07/15/2019 ∙ by Ziyu Ye, et al. ∙ 8 ∙ share

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Forced Spatial Attention for Driver Foot Activity Classification

This paper provides a simple solution for reliably solving image classif...
07/27/2019 ∙ by Akshay Rangesh, et al. ∙ 8 ∙ share

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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...
08/29/2019 ∙ by Ilias Diakonikolas, et al. ∙ 7 ∙ share

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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...
02/06/2020 ∙ by Akshay Rangesh, et al. ∙ 7 ∙ share

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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Autonomous driving has attracted remarkable attention from both industry...
11/29/2018 ∙ by Xibin Song, et al. ∙ 6 ∙ share

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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...
05/29/2019 ∙ by Akshay Balsubramani, et al. ∙ 6 ∙ share

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Visualizing the PHATE of Neural Networks

Understanding why and how certain neural networks outperform others is k...
08/07/2019 ∙ by Scott Gigante, et al. ∙ 6 ∙ share

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Learning from Interventions using Hierarchical Policies for Safe Learning

Learning from Demonstrations (LfD) via Behavior Cloning (BC) works well ...
12/04/2019 ∙ by Jing Bi, et al. ∙ 6 ∙ share

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Target driven visual navigation exploiting object relationships

Recently target driven visual navigation strategies have gained a lot of...
03/15/2020 ∙ by Yiding Qiu, et al. ∙ 5 ∙ share

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Learning Navigation Costs from Demonstration with Semantic Observations

This paper focuses on inverse reinforcement learning (IRL) for autonomou...
06/09/2020 ∙ by Tianyu Wang, et al. ∙ 5 ∙ share

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