research
∙
07/20/2023
Human Motion Generation: A Survey
Human motion generation aims to generate natural human pose sequences an...
share
research
∙
05/24/2023
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering
Explainable question answering (XQA) aims to answer a given question and...
research
∙
05/16/2023
Hybrid and Collaborative Passage Reranking
In passage retrieval system, the initial passage retrieval results may b...
research
∙
05/02/2023
Sequence Modeling with Multiresolution Convolutional Memory
Efficiently capturing the long-range patterns in sequential data sources...
research
∙
04/27/2023
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
Traditional models of glucose-insulin dynamics rely on heuristic paramet...
research
∙
02/10/2023
BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization
In this work, we are dedicated to leveraging the BERT pre-training succe...
research
∙
11/17/2022
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
We provide a first finite-particle convergence rate for Stein variationa...
research
∙
05/24/2022
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval
In the past few years, the emergence of vision-language pre-training (VL...
research
∙
05/24/2022
GraphQ IR: Unifying Semantic Parsing of Graph Query Language with Intermediate Representation
Subject to the semantic gap lying between natural and formal language, n...
research
∙
04/30/2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks
Learning the principal eigenfunctions of an integral operator defined by...
research
∙
02/19/2022
Gradient Estimation with Discrete Stein Operators
Gradient estimation – approximating the gradient of an expectation with ...
research
∙
01/28/2022
Schema-Free Dependency Parsing via Sequence Generation
Dependency parsing aims to extract syntactic dependency structure or sem...
research
∙
11/09/2021
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
Stochastic gradient-based optimisation for discrete latent variable mode...
research
∙
10/12/2021
Program Transfer and Ontology Awareness for Semantic Parsing in KBQA
Semantic parsing in KBQA aims to parse natural language questions into l...
research
∙
06/29/2021
TWAG: A Topic-Guided Wikipedia Abstract Generator
Wikipedia abstract generation aims to distill a Wikipedia abstract from ...
research
∙
06/23/2021
Sampling with Mirrored Stein Operators
We introduce a new family of particle evolution samplers suitable for co...
research
∙
06/10/2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
We introduce a new scalable variational Gaussian process approximation w...
research
∙
04/15/2021
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph
Multi-hop Question Answering (QA) is a challenging task because it requi...
research
∙
07/08/2020
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base
Complex question answering over knowledge base (Complex KBQA) is challen...
research
∙
05/20/2020
Nonparametric Score Estimators
Estimating the score, i.e., the gradient of log density function, from a...
research
∙
02/27/2020
Unbiased Scene Graph Generation from Biased Training
Today's scene graph generation (SGG) task is still far from practical, m...
research
∙
10/23/2019
Sparse Orthogonal Variational Inference for Gaussian Processes
We introduce a new interpretation of sparse variational approximations f...
research
∙
05/27/2019
Scalable Training of Inference Networks for Gaussian-Process Models
Inference in Gaussian process (GP) models is computationally challenging...
research
∙
05/17/2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Score matching is a popular method for estimating unnormalized statistic...
research
∙
03/14/2019
Functional Variational Bayesian Neural Networks
Variational Bayesian neural networks (BNNs) perform variational inferenc...
research
∙
12/05/2018
Explainable and Explicit Visual Reasoning over Scene Graphs
We aim to dismantle the prevalent black-box neural architectures used in...
research
∙
11/06/2018
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization
We propose DeepChannel, a robust, data-efficient, and interpretable neur...
research
∙
11/06/2018
Learning to Embed Sentences Using Attentive Recursive Trees
Sentence embedding is an effective feature representation for most deep ...
research
∙
10/29/2018
Semi-crowdsourced Clustering with Deep Generative Models
We consider the semi-supervised clustering problem where crowdsourcing p...
research
∙
06/07/2018
A Spectral Approach to Gradient Estimation for Implicit Distributions
Recently there have been increasing interests in learning and inference ...
research
∙
09/18/2017
ZhuSuan: A Library for Bayesian Deep Learning
In this paper we introduce ZhuSuan, a python probabilistic programming l...
research
∙
05/29/2017
Implicit Variational Inference with Kernel Density Ratio Fitting
Recent progress in variational inference has paid much attention to the ...
research
∙
04/24/2016
Towards Better Analysis of Deep Convolutional Neural Networks
Deep convolutional neural networks (CNNs) have achieved breakthrough per...
research
∙
12/03/2015
