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08/17/2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning
Graph Active Learning (GAL), which aims to find the most informative nod...
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06/26/2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
Deploying pre-trained transformer models like BERT on downstream tasks i...
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05/23/2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
Embedding models have shown great power in knowledge graph completion (K...
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03/17/2023
IRGen: Generative Modeling for Image Retrieval
While generative modeling has been ubiquitous in natural language proces...
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03/15/2023
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
Large Language Models (LLMs) are popular for their impressive abilities,...
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03/15/2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
The combination of Neural Architecture Search (NAS) and quantization has...
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03/04/2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
Causal analysis for time series data, in particular estimating individua...
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12/30/2022
Label-Efficient Interactive Time-Series Anomaly Detection
Time-series anomaly detection is an important task and has been widely a...
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12/16/2022
Convolution-enhanced Evolving Attention Networks
Attention-based neural networks, such as Transformers, have become ubiqu...
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08/30/2022
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
Ad relevance modeling plays a critical role in online advertising system...
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08/02/2022
Binary Classification with Positive Labeling Sources
To create a large amount of training labels for machine learning models ...
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06/06/2022
A Neural Corpus Indexer for Document Retrieval
Current state-of-the-art document retrieval solutions mainly follow an i...
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04/12/2022
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting
Current Knowledge-Grounded Dialogue Generation (KDG) models specialize i...
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10/16/2021
Multimodal Dialogue Response Generation
Responsing with image has been recognized as an important capability for...
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10/07/2021
Creating Training Sets via Weak Indirect Supervision
Creating labeled training sets has become one of the major roadblocks in...
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10/03/2021
Graph Pointer Neural Networks
Graph Neural Networks (GNNs) have shown advantages in various graph-base...
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09/23/2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
Recent Weak Supervision (WS) approaches have had widespread success in e...
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09/05/2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation
To alleviate data sparsity and cold-start problems of traditional recomm...
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06/21/2021
Graph Attention Networks with LSTM-based Path Reweighting
Graph Neural Networks (GNNs) have been extensively used for mining graph...
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06/19/2021
Learning Timestamp-Level Representations for Time Series with Hierarchical Contrastive Loss
This paper presents TS2Vec, a universal framework for learning timestamp...
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03/13/2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Multivariate time-series forecasting plays a crucial role in many real-w...
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03/07/2021
Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees
Pre-trained language models like BERT achieve superior performances in v...
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10/14/2020
AutoADR: Automatic Model Design for Ad Relevance
Large-scale pre-trained models have attracted extensive attention in the...
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09/04/2020
Multivariate Time-series Anomaly Detection via Graph Attention Network
Anomaly detection on multivariate time-series is of great importance in ...
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08/31/2020
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering
Knowledge-based Visual Question Answering (KVQA) requires external knowl...
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06/16/2020
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
Fact-based Visual Question Answering (FVQA) requires external knowledge ...
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06/16/2020
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based VisualQuestion Answering
Fact-based Visual Question Answering (FVQA) requires external knowledge ...
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04/08/2020
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression
BERT is a cutting-edge language representation model pre-trained by a la...
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04/08/2020
Improving BERT with Self-Supervised Attention
One of the most popular paradigms of applying large, pre-trained NLP mod...
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01/06/2020
Deeper Insights into Weight Sharing in Neural Architecture Search
With the success of deep neural networks, Neural Architecture Search (NA...
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12/23/2019
TextNAS: A Neural Architecture Search Space tailored for Text Representation
Learning text representation is crucial for text classification and othe...
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11/21/2019
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application
The graph is a natural representation of data in a variety of real-world...
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11/18/2019
A Code injection Method for Rapid Docker Image Building
Docker images are built by layers, yet the current implementation has ma...
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11/06/2019
Developing a Process in Architecting Microservice Infrastructure with Docker, Kubernetes, and Istio
As an application usage grows, its owner scales up vertically by replaci...
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11/04/2019
Adapting a Container Infrastructure for Autonomous Vehicle Development
In the field of Autonomous Vehicle (AV) development, having a robust yet...
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10/10/2019
An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation
Graph Convolutional Network (GCN) has attracted intensive interests rece...
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06/10/2019
Time-Series Anomaly Detection Service at Microsoft
Large companies need to monitor various metrics (for example, Page Views...
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04/22/2019