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07/20/2023
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
Recent advances in large language models (LLMs) have demonstrated notabl...
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07/08/2023
Learning to Group Auxiliary Datasets for Molecule
The limited availability of annotations in small molecule datasets prese...
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06/24/2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Graph neural networks (GNNs) are emerging for machine learning research ...
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06/13/2023
AVIS: Autonomous Visual Information Seeking with Large Language Models
In this paper, we propose an autonomous information seeking visual quest...
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06/07/2023
Professional Basketball Player Behavior Synthesis via Planning with Diffusion
Dynamically planning in multi-agent systems has been explored to improve...
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05/18/2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
Recent years have witnessed the growing popularity of domain-specific ac...
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12/10/2022
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
In this paper, we propose an end-to-end Retrieval-Augmented Visual Langu...
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11/15/2022
Empowering Language Models with Knowledge Graph Reasoning for Question Answering
Answering open-domain questions requires world knowledge about in-contex...
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03/03/2022
Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks
How can we make predictions for nodes in a heterogeneous graph when an e...
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09/21/2021
Relation-Guided Pre-Training for Open-Domain Question Answering
Answering complex open-domain questions requires understanding the laten...
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09/14/2021
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
Commonsense is defined as the knowledge that is shared by everyone. Howe...
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08/05/2021
Fuzzy Logic based Logical Query Answering on Knowledge Graph
Answering complex First-Order Logical (FOL) queries on large-scale incom...
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12/23/2020
Motif-Driven Contrastive Learning of Graph Representations
Graph motifs are significant subgraph patterns occurring frequently in g...
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06/27/2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Graph neural networks (GNNs) have been demonstrated to be powerful in mo...
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03/03/2020
Heterogeneous Graph Transformer
Recent years have witnessed the emerging success of graph neural network...
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11/17/2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Graph convolutional networks (GCNs) have recently received wide attentio...
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07/01/2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Existing approaches for learning word embeddings often assume there are ...
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05/31/2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
Graph neural networks (GNNs) are shown to be successful in modeling appl...
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09/16/2018
A Novel Algorithm for Unbiased Learning to Rank
Although click data is widely used in search systems in practice, so far...
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06/07/2018
Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification
Most existing sentiment analysis approaches heavily rely on a large amou...
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11/30/2017
Automating Release of Deep Link APIs for Android Applications
Unlike the Web where each web page has a global URL to reach, a specific...
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10/24/2017