Search Results for author: Yingtao Tian

Found 24 papers, 13 papers with code

Evolving Three Dimension (3D) Abstract Art: Fitting Concepts by Language

no code implementations24 Apr 2023 Yingtao Tian

Computational creativity has contributed heavily to abstract art in modern era, allowing artists to create high quality, abstract two dimension (2D) arts with a high level of controllability and expressibility.

Open-Ended Question Answering

DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards

1 code implementation21 Apr 2023 Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko

Exploration is a fundamental aspect of reinforcement learning (RL), and its effectiveness is a deciding factor in the performance of RL algorithms, especially when facing sparse extrinsic rewards.

Reinforcement Learning (RL)

Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport

no code implementations18 Apr 2022 Yingtao Tian, Marco Cuturi, David Ha

Recent advances in deep learning, such as powerful generative models and joint text-image embeddings, have provided the computational creativity community with new tools, opening new perspectives for artistic pursuits.

Image Generation

EvoJAX: Hardware-Accelerated Neuroevolution

1 code implementation10 Feb 2022 Yujin Tang, Yingtao Tian, David Ha

Evolutionary computation has been shown to be a highly effective method for training neural networks, particularly when employed at scale on CPU clusters.

Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein

1 code implementation28 Jan 2022 Marco Cuturi, Laetitia Meng-Papaxanthos, Yingtao Tian, Charlotte Bunne, Geoff Davis, Olivier Teboul

Optimal transport tools (OTT-JAX) is a Python toolbox that can solve optimal transport problems between point clouds and histograms.

Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation

1 code implementation4 Jun 2021 Yingtao Tian, Tarin Clanuwat, Chikahiko Suzuki, Asanobu Kitamoto

The study of Ukiyo-e, an important genre of pre-modern Japanese art, focuses on the object and style like other artwork researches.

BIG-bench Machine Learning Colorization

InstantEmbedding: Efficient Local Node Representations

no code implementations14 Oct 2020 Ştefan Postăvaru, Anton Tsitsulin, Filipe Miguel Gonçalves de Almeida, Yingtao Tian, Silvio Lattanzi, Bryan Perozzi

In this paper, we introduce InstantEmbedding, an efficient method for generating single-node representations using local PageRank computations.

Link Prediction Node Classification +1

KaoKore: A Pre-modern Japanese Art Facial Expression Dataset

1 code implementation20 Feb 2020 Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto

From classifying handwritten digits to generating strings of text, the datasets which have received long-time focus from the machine learning community vary greatly in their subject matter.

BIG-bench Machine Learning Image Classification

Fast and Accurate Network Embeddings via Very Sparse Random Projection

1 code implementation30 Aug 2019 Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena

Two key features of FastRP are: 1) it explicitly constructs a node similarity matrix that captures transitive relationships in a graph and normalizes matrix entries based on node degrees; 2) it utilizes very sparse random projection, which is a scalable optimization-free method for dimension reduction.

Dimensionality Reduction Network Embedding

SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension

no code implementations28 Aug 2019 Jingjing Li, Wenlu Wang, Wei-Shinn Ku, Yingtao Tian, Haixun Wang

A natural language interface (NLI) to databases is an interface that translates a natural language question to a structured query that is executable by database management systems (DBMS).

Management Reading Comprehension

Learning Bilingual Word Embeddings Using Lexical Definitions

no code implementations WS 2019 Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang

Bilingual word embeddings, which representlexicons of different languages in a shared em-bedding space, are essential for supporting se-mantic and knowledge transfers in a variety ofcross-lingual NLP tasks.

Translation Word Alignment +1

Latent Domain Transfer: Crossing modalities with Bridging Autoencoders

no code implementations ICLR 2019 Yingtao Tian, Jesse Engel

We find that a simple variational autoencoder is able to learn a shared latent space to bridge between two generative models in an unsupervised fashion, and even between different types of models (ex.

Latent Translation: Crossing Modalities by Bridging Generative Models

no code implementations21 Feb 2019 Yingtao Tian, Jesse Engel

We compare to state-of-the-art techniques and find that a straight-forward variational autoencoder is able to best bridge the two generative models through learning a shared latent space.

Machine Translation Translation

Enhanced Network Embeddings via Exploiting Edge Labels

1 code implementation13 Sep 2018 Haochen Chen, Xiaofei Sun, Yingtao Tian, Bryan Perozzi, Muhao Chen, Steven Skiena

Network embedding methods aim at learning low-dimensional latent representation of nodes in a network.

Social and Information Networks Physics and Society

A Transfer-Learnable Natural Language Interface for Databases

2 code implementations7 Sep 2018 Wenlu Wang, Yingtao Tian, Hongyu Xiong, Haixun Wang, Wei-Shinn Ku

In this work, we introduce a general purpose transfer-learnable NLI with the goal of learning one model that can be used as NLI for any relational database.

Management Natural Language Queries

On2Vec: Embedding-based Relation Prediction for Ontology Population

no code implementations7 Sep 2018 Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo

Recent advances in translation-based graph embedding methods for populating instance-level knowledge graphs lead to promising new approaching for the ontology population problem.

Graph Embedding Knowledge Graphs +1

Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment

no code implementations18 Jun 2018 Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo

Since many multilingual KGs also provide literal descriptions of entities, in this paper, we introduce an embedding-based approach which leverages a weakly aligned multilingual KG for semi-supervised cross-lingual learning using entity descriptions.

Entity Alignment Knowledge Graphs

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks

7 code implementations18 Aug 2017 Yanghua Jin, Jiakai Zhang, Minjun Li, Yingtao Tian, Huachun Zhu, Zhihao Fang

With quantitative analysis and case studies we demonstrate that our efforts lead to a stable and high-quality model.

Image Generation

Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment

2 code implementations12 Nov 2016 Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo

Many recent works have demonstrated the benefits of knowledge graph embeddings in completing monolingual knowledge graphs.

Entity Alignment Knowledge Graph Embeddings +2

On the Convergent Properties of Word Embedding Methods

no code implementations12 May 2016 Yingtao Tian, Vivek Kulkarni, Bryan Perozzi, Steven Skiena

Do word embeddings converge to learn similar things over different initializations?

Word Embeddings

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