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09/19/2023
Spatial-Assistant Encoder-Decoder Network for Real Time Semantic Segmentation
Semantic segmentation is an essential technology for self-driving cars t...
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06/14/2023
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models
Pre-trained encoder-only and sequence-to-sequence (seq2seq) models each ...
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11/16/2022
Bayesian Optimization for Online Management in Dynamic Mobile Edge Computing
Recent years have witnessed the emergence of mobile edge computing (MEC)...
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06/10/2022
Weighted Ensembles for Active Learning with Adaptivity
Labeled data can be expensive to acquire in several application domains,...
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05/27/2022
Surrogate modeling for Bayesian optimization beyond a single Gaussian process
Bayesian optimization (BO) has well-documented merits for optimizing bla...
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12/01/2021
Robust and Adaptive Temporal-Difference Learning Using An Ensemble of Gaussian Processes
Value function approximation is a crucial module for policy evaluation i...
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10/13/2021
Incremental Ensemble Gaussian Processes
Belonging to the family of Bayesian nonparametrics, Gaussian process (GP...
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09/16/2018
Dual Memory Network Model for Biased Product Review Classification
In sentiment analysis (SA) of product reviews, both user and product inf...
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08/18/2017
A Question Answering Approach to Emotion Cause Extraction
Emotion cause extraction aims to identify the reasons behind a certain e...
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03/30/2016
Unsupervised Measure of Word Similarity: How to Outperform Co-occurrence and Vector Cosine in VSMs
In this paper, we claim that vector cosine, which is generally considere...
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03/29/2016
ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms
In this paper, we describe ROOT13, a supervised system for the classific...
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03/29/2016
Nine Features in a Random Forest to Learn Taxonomical Semantic Relations
ROOT9 is a supervised system for the classification of hypernyms, co-hyp...
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03/29/2016