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06/07/2023
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts
A key component of modern conversational systems is the Dialogue State T...
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04/24/2023
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
Most existing point cloud upsampling methods have roughly three steps: f...
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07/07/2022
Evolution of Popularity Bias: Empirical Study and Debiasing
Popularity bias is a long-standing challenge in recommender systems. Suc...
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04/27/2022
Density-preserving Deep Point Cloud Compression
Local density of point clouds is crucial for representing local details,...
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03/14/2022
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks
In many personalized recommendation scenarios, the generalization abilit...
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10/08/2020
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
Knowledge of a disease includes information of various aspects of the di...
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10/08/2020
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
We present a new benchmark dataset called PARADE for paraphrase identifi...
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12/30/2019
Consistency-Aware Recommendation for User-Generated ItemList Continuation
User-generated item lists are popular on many platforms. Examples includ...
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12/30/2019
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists
User-generated item lists are a popular feature of many different platfo...
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01/03/2019
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation
We propose PsiRec, a novel user preference propagation recommender that ...
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07/20/2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
The paper gives futuristic challenges disscussed in the cvpaper.challeng...
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08/30/2016
Motion Representation with Acceleration Images
Information of time differentiation is extremely important cue for a mot...
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08/29/2016
