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Cross-modal Adversarial Reprogramming
With the abundance of large-scale deep learning models, it has become po...
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Expressive Neural Voice Cloning
Voice cloning is the task of learning to synthesize the voice of an unse...
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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, ...
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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...
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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...
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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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BERT Loses Patience: Fast and Robust Inference with Early Exit
In this paper, we propose Patience-based Early Exit, a straightforward y...
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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 ...
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Speech Recognition and Multi-Speaker Diarization of Long Conversations
Speech recognition (ASR) and speaker diarization (SD) models have tradit...
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Interview: A Large-Scale Open-Source Corpus of Media Dialog
Existing conversational datasets consist either of written proxies for d...
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ReZero is All You Need: Fast Convergence at Large Depth
Deep networks have enabled significant performance gains across domains,...
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Addressing Marketing Bias in Product Recommendations
Modern collaborative filtering algorithms seek to provide personalized p...
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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...
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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...
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Generating Personalized Recipes from Historical User Preferences
Existing approaches to recipe generation are unable to create recipes fo...
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CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
Sequential patterns play an important role in building modern recommende...
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Improving Neural Story Generation by Targeted Common Sense Grounding
Stories generated with neural language models have shown promise in gram...
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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...
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Fine-Grained Spoiler Detection from Large-Scale Review Corpora
This paper presents computational approaches for automatically detecting...
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Universal Adversarial Perturbations for Speech Recognition Systems
In this work, we demonstrate the existence of universal adversarial audi...
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Expediting TTS Synthesis with Adversarial Vocoding
Recent approaches in text-to-speech (TTS) synthesis employ neural networ...
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Embryo staging with weakly-supervised region selection and dynamically-decoded predictions
To optimize clinical outcomes, fertility clinics must strategically sele...
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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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Learning Consumer and Producer Embeddings for User-Generated Content Recommendation
User-Generated Content (UGC) is at the core of web applications where us...
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Recommendation Through Mixtures of Heterogeneous Item Relationships
Recommender Systems have proliferated as general-purpose approaches to m...
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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...
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Self-Attentive Sequential Recommendation
Sequential dynamics are a key feature of many modern recommender systems...
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Visually-Aware Personalized Recommendation using Interpretable Image Representations
Visually-aware recommender systems use visual signals present in the und...
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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 ...
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Synthesizing Audio with Generative Adversarial Networks
While Generative Adversarial Networks (GANs) have seen wide success at t...
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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 ...
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Visually-Aware Fashion Recommendation and Design with Generative Image Models
Building effective recommender systems for domains like fashion is chall...
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Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
We propose a new algorithm for training generative adversarial networks ...
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Dance Dance Convolution
Dance Dance Revolution (DDR) is a popular rhythm-based video game. Playe...
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Predicting Surgery Duration with Neural Heteroscedastic Regression
Scheduling surgeries is a challenging task due to the fundamental uncert...
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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...
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Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation
Understanding users' interactions with highly subjective content---like ...
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Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering
Building successful recommender systems requires uncovering the underlyi...
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Learning Compatibility Across Categories for Heterogeneous Item Recommendation
Identifying relationships between items is a key task of an online recom...
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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...
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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...
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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 ...
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VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Modern recommender systems model people and items by discovering or `tea...
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Image-based Recommendations on Styles and Substitutes
Humans inevitably develop a sense of the relationships between objects, ...
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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...
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Exponential Family Graph Matching and Ranking
We present a method for learning max-weight matching predictors in bipar...
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