Julian McAuley

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University of California, San Diego ∙ Stanford University

Assistant Professor of Computer Science and Engineering at University of California, San Diego since 2014, Postdoctoral Scholar at Stanford University from 2011-2014, Ph.D. from the Australian National University in 2011.

Cross-modal Adversarial Reprogramming

With the abundance of large-scale deep learning models, it has become po...
02/15/2021 ∙ by Paarth Neekhara, et al. ∙ 2 ∙ share

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Expressive Neural Voice Cloning

Voice cloning is the task of learning to synthesize the voice of an unse...
01/30/2021 ∙ by Paarth Neekhara, et al. ∙ 2 ∙ share

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Zero-shot Generalization in Dialog State Tracking through Generative Question Answering

Dialog State Tracking (DST), an integral part of modern dialog systems, ...
01/20/2021 ∙ by Shuyang Li, et al. ∙ 5 ∙ share

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Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions

Existing persona-grounded dialog models often fail to capture simple imp...
10/07/2020 ∙ by Bodhisattwa Prasad Majumder, et al. ∙ 4 ∙ share

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Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays

Automatic medical image report generation has drawn growing attention du...
10/06/2020 ∙ by Jianmo Ni, et al. ∙ 0 ∙ share

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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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BERT Loses Patience: Fast and Robust Inference with Early Exit

In this paper, we propose Patience-based Early Exit, a straightforward y...
06/07/2020 ∙ by Wangchunshu Zhou, et al. ∙ 0 ∙ share

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How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements

We investigate a growing body of work that seeks to improve recommender ...
05/25/2020 ∙ by Noveen Sachdeva, et al. ∙ 0 ∙ share

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Speech Recognition and Multi-Speaker Diarization of Long Conversations

Speech recognition (ASR) and speaker diarization (SD) models have tradit...
05/16/2020 ∙ by Huanru Henry Mao, et al. ∙ 0 ∙ share

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Interview: A Large-Scale Open-Source Corpus of Media Dialog

Existing conversational datasets consist either of written proxies for d...
04/07/2020 ∙ by Bodhisattwa Prasad Majumder, et al. ∙ 0 ∙ share

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ReZero is All You Need: Fast Convergence at Large Depth

Deep networks have enabled significant performance gains across domains,...
03/10/2020 ∙ by Thomas Bachlechner, et al. ∙ 0 ∙ share

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Addressing Marketing Bias in Product Recommendations

Modern collaborative filtering algorithms seek to provide personalized p...
12/04/2019 ∙ by Mengting Wan, et al. ∙ 0 ∙ share

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Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation

Generating the Top-N recommendations from a large corpus is computationa...
09/12/2019 ∙ by Wang-Cheng Kang, et al. ∙ 0 ∙ share

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Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation

Existing approaches to dialogue state tracking rely on pre-defined ontol...
09/02/2019 ∙ by Liliang Ren, et al. ∙ 0 ∙ share

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Generating Personalized Recipes from Historical User Preferences

Existing approaches to recipe generation are unable to create recipes fo...
08/31/2019 ∙ by Bodhisattwa Prasad Majumder, et al. ∙ 0 ∙ share

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CosRec: 2D Convolutional Neural Networks for Sequential Recommendation

Sequential patterns play an important role in building modern recommende...
08/27/2019 ∙ by An Yan, et al. ∙ 0 ∙ share

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Improving Neural Story Generation by Targeted Common Sense Grounding

Stories generated with neural language models have shown promise in gram...
08/26/2019 ∙ by Huanru Henry Mao, et al. ∙ 0 ∙ share

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LakhNES: Improving multi-instrumental music generation with cross-domain pre-training

We are interested in the task of generating multi-instrumental music sco...
07/10/2019 ∙ by Chris Donahue, et al. ∙ 0 ∙ share

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Fine-Grained Spoiler Detection from Large-Scale Review Corpora

This paper presents computational approaches for automatically detecting...
05/31/2019 ∙ by Mengting Wan, et al. ∙ 0 ∙ share

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Universal Adversarial Perturbations for Speech Recognition Systems

In this work, we demonstrate the existence of universal adversarial audi...
05/09/2019 ∙ by Paarth Neekhara, et al. ∙ 0 ∙ share

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Expediting TTS Synthesis with Adversarial Vocoding

Recent approaches in text-to-speech (TTS) synthesis employ neural networ...
04/16/2019 ∙ by Paarth Neekhara, et al. ∙ 0 ∙ share

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Embryo staging with weakly-supervised region selection and dynamically-decoded predictions

To optimize clinical outcomes, fertility clinics must strategically sele...
04/09/2019 ∙ by Tingfung Lau, et al. ∙ 20 ∙ 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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Learning Consumer and Producer Embeddings for User-Generated Content Recommendation

User-Generated Content (UGC) is at the core of web applications where us...
09/25/2018 ∙ by Wang-Cheng Kang, et al. ∙ 0 ∙ share

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Recommendation Through Mixtures of Heterogeneous Item Relationships

Recommender Systems have proliferated as general-purpose approaches to m...
08/29/2018 ∙ by Wang-Cheng Kang, et al. ∙ 0 ∙ share

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Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering

Scientific Question Answering (SQA) is a challenging open-domain task wh...
08/28/2018 ∙ by Jianmo Ni, et al. ∙ 0 ∙ share

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Self-Attentive Sequential Recommendation

Sequential dynamics are a key feature of many modern recommender systems...
08/20/2018 ∙ by Wang-Cheng Kang, et al. ∙ 0 ∙ share

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Visually-Aware Personalized Recommendation using Interpretable Image Representations

Visually-aware recommender systems use visual signals present in the und...
06/26/2018 ∙ by Charles Packer, et al. ∙ 0 ∙ share

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The NES Music Database: A multi-instrumental dataset with expressive performance attributes

Existing research on music generation focuses on composition, but often ...
06/12/2018 ∙ by Chris Donahue, et al. ∙ 0 ∙ share

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Synthesizing Audio with Generative Adversarial Networks

While Generative Adversarial Networks (GANs) have seen wide success at t...
02/12/2018 ∙ by Chris Donahue, et al. ∙ 0 ∙ share

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Does mitigating ML's disparate impact require disparate treatment?

Following related work in law and policy, two notions of prejudice have ...
11/19/2017 ∙ by Zachary C Lipton, et al. ∙ 0 ∙ share

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Visually-Aware Fashion Recommendation and Design with Generative Image Models

Building effective recommender systems for domains like fashion is chall...
11/07/2017 ∙ by Wang-Cheng Kang, et al. ∙ 0 ∙ share

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Semantically Decomposing the Latent Spaces of Generative Adversarial Networks

We propose a new algorithm for training generative adversarial networks ...
05/22/2017 ∙ by Chris Donahue, et al. ∙ 0 ∙ share

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Dance Dance Convolution

Dance Dance Revolution (DDR) is a popular rhythm-based video game. Playe...
03/20/2017 ∙ by Chris Donahue, et al. ∙ 0 ∙ share

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Predicting Surgery Duration with Neural Heteroscedastic Regression

Scheduling surgeries is a challenging task due to the fundamental uncert...
02/17/2017 ∙ by Nathan Ng, et al. ∙ 0 ∙ share

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Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems

Product review websites provide an incredible lens into the wide variety...
10/25/2016 ∙ by Mengting Wan, et al. ∙ 0 ∙ share

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Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation

Understanding users' interactions with highly subjective content---like ...
07/15/2016 ∙ by Ruining He, et al. ∙ 0 ∙ share

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Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering

Building successful recommender systems requires uncovering the underlyi...
04/20/2016 ∙ by Ruining He, et al. ∙ 0 ∙ share

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Learning Compatibility Across Categories for Heterogeneous Item Recommendation

Identifying relationships between items is a key task of an online recom...
03/31/2016 ∙ by Ruining He, et al. ∙ 0 ∙ share

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Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering

Building a successful recommender system depends on understanding both t...
02/04/2016 ∙ by Ruining He, et al. ∙ 0 ∙ share

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Addressing Complex and Subjective Product-Related Queries with Customer Reviews

Online reviews are often our first port of call when considering product...
12/21/2015 ∙ by Julian McAuley, et al. ∙ 0 ∙ share

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Generative Concatenative Nets Jointly Learn to Write and Classify Reviews

A recommender system's basic task is to estimate how users will respond ...
11/11/2015 ∙ by Zachary C Lipton, et al. ∙ 0 ∙ share

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VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

Modern recommender systems model people and items by discovering or `tea...
10/06/2015 ∙ by Ruining He, et al. ∙ 0 ∙ share

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Image-based Recommendations on Styles and Substitutes

Humans inevitably develop a sense of the relationships between objects, ...
06/15/2015 ∙ by Julian McAuley, et al. ∙ 0 ∙ share

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Image Labeling on a Network: Using Social-Network Metadata for Image Classification

Large-scale image retrieval benchmarks invariably consist of images from...
07/16/2012 ∙ by Julian McAuley, et al. ∙ 0 ∙ share

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Exponential Family Graph Matching and Ranking

We present a method for learning max-weight matching predictors in bipar...
04/17/2009 ∙ by James Petterson, et al. ∙ 0 ∙ share

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Julian McAuley

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