University of California, San Diego

∙ La Jolla , United States ∙ 0 followers

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
"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

read it
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

read it
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

read it
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

read it
Associative Convolutional Layers

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
Concept Mask: Large-Scale Segmentation from Semantic Concepts

Existing works on semantic segmentation typically consider a small numbe...
08/18/2018 ∙ by Yufei Wang, et al. ∙ 4 ∙ share

read it
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

We present a novel and unified deep learning framework which is capable ...
09/05/2018 ∙ by Alexander Liu, et al. ∙ 4 ∙ share

read it
Learning Ising Models with Independent Failures

We give the first efficient algorithm for learning the structure of an I...
02/13/2019 ∙ by Surbhi Goel, et al. ∙ 4 ∙ share

read it

University of California, San Diego

Featured Researchers