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06/24/2022
Approximating 1-Wasserstein Distance with Trees
Wasserstein distance, which measures the discrepancy between distributio...
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09/08/2021
Fixed Support Tree-Sliced Wasserstein Barycenter
The Wasserstein barycenter has been widely studied in various fields, in...
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08/05/2021
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints
We analyze the tradeoff between factuality and abstractiveness of summar...
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04/20/2021
Efficient Retrieval Optimized Multi-task Learning
Recently, there have been significant advances in neural methods for tac...
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04/17/2021
Transductive Learning for Abstractive News Summarization
Pre-trained language models have recently advanced abstractive summariza...
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05/01/2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Knowledge graph (KG) embeddings learn low-dimensional representations of...
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05/01/2020
GoEmotions: A Dataset of Fine-Grained Emotions
Understanding emotion expressed in language has a wide range of applicat...
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04/13/2020
ProFormer: Towards On-Device LSH Projection Based Transformers
At the heart of text based neural models lay word representations, which...
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03/01/2020
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation
Recent research efforts enable study for natural language grounded navig...
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11/13/2019
Learning from a Teacher using Unlabeled Data
Knowledge distillation is a widely used technique for model compression....
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10/16/2019
Generalized Clustering by Learning to Optimize Expected Normalized Cuts
We introduce a novel end-to-end approach for learning to cluster in the ...
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08/14/2019
On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study
Recently, there has been strong interest in developing natural language ...
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07/05/2019
Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes
Open domain dialog systems face the challenge of being repetitive and pr...
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06/04/2019
Transferable Neural Projection Representations
Neural word representations are at the core of many state-of-the-art nat...
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03/02/2019
GAP: Generalizable Approximate Graph Partitioning Framework
Graph partitioning is the problem of dividing the nodes of a graph into ...
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08/02/2017
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections
Deep neural networks have become ubiquitous for applications related to ...
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03/14/2017
Neural Graph Machines: Learning Neural Networks Using Graphs
Label propagation is a powerful and flexible semi-supervised learning te...
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09/07/2016
Semantic Video Trailers
Query-based video summarization is the task of creating a brief visual t...
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06/15/2016
Smart Reply: Automated Response Suggestion for Email
In this paper we propose and investigate a novel end-to-end method for a...
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04/11/2016
Conversational flow in Oxford-style debates
Public debates are a common platform for presenting and juxtaposing dive...
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12/06/2015
