
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base
Complex question answering over knowledge base (Complex KBQA) is challen...
read it

Nonparametric Score Estimators
Estimating the score, i.e., the gradient of log density function, from a...
read it

Unbiased Scene Graph Generation from Biased Training
Today's scene graph generation (SGG) task is still far from practical, m...
read it

Sparse Orthogonal Variational Inference for Gaussian Processes
We introduce a new interpretation of sparse variational approximations f...
read it

Scalable Training of Inference Networks for GaussianProcess Models
Inference in Gaussian process (GP) models is computationally challenging...
read it

Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Score matching is a popular method for estimating unnormalized statistic...
read it

Functional Variational Bayesian Neural Networks
Variational Bayesian neural networks (BNNs) perform variational inferenc...
read it

Explainable and Explicit Visual Reasoning over Scene Graphs
We aim to dismantle the prevalent blackbox neural architectures used in...
read it

DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization
We propose DeepChannel, a robust, dataefficient, and interpretable neur...
read it

Learning to Embed Sentences Using Attentive Recursive Trees
Sentence embedding is an effective feature representation for most deep ...
read it

Semicrowdsourced Clustering with Deep Generative Models
We consider the semisupervised clustering problem where crowdsourcing p...
read it

A Spectral Approach to Gradient Estimation for Implicit Distributions
Recently there have been increasing interests in learning and inference ...
read it

ZhuSuan: A Library for Bayesian Deep Learning
In this paper we introduce ZhuSuan, a python probabilistic programming l...
read it

Implicit Variational Inference with Kernel Density Ratio Fitting
Recent progress in variational inference has paid much attention to the ...
read it

Towards Better Analysis of Deep Convolutional Neural Networks
Deep convolutional neural networks (CNNs) have achieved breakthrough per...
read it

Building Memory with Concept Learning Capabilities from Largescale Knowledge Base
We present a new perspective on neural knowledge base (KB) embeddings, f...
read it
Jiaxin Shi
is this you? claim profile