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07/03/2023
Squeezing Large-Scale Diffusion Models for Mobile
The emergence of diffusion models has greatly broadened the scope of hig...
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03/30/2023
Prefix tuning for automated audio captioning
Audio captioning aims to generate text descriptions from environmental s...
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09/30/2022
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
Black-box models, such as deep neural networks, exhibit superior predict...
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04/07/2022
Explicit Feature Interaction-aware Graph Neural Networks
Graph neural networks are powerful methods to handle graph-structured da...
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03/02/2022
KC-TSS: An Algorithm for Heterogeneous Robot Teams Performing Resilient Target Search
This paper proposes KC-TSS: K-Clustered-Traveling Salesman Based Search,...
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11/17/2021
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Randomized smoothing is currently a state-of-the-art method to construct...
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09/05/2021
Global-Local Item Embedding for Temporal Set Prediction
Temporal set prediction is becoming increasingly important as many compa...
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07/27/2021
Information-Theoretic Based Target Search with Multiple Agents
This paper proposes an online path planning and motion generation algori...
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05/24/2021
One4all User Representation for Recommender Systems in E-commerce
General-purpose representation learning through large-scale pre-training...
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12/14/2019
Active Object Tracking using Context Estimation: Handling Occlusions and Detecting Missing Targets
When performing visual servoing or object tracking tasks, active sensor ...
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07/24/2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
Graph Neural Networks (GNNs) have been emerging as a promising method fo...
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03/04/2019
Toward Achieving Formal Guarantees for Human-Aware Controllers in Human-Robot Interactions
With the primary objective of human-robot interaction being to support h...
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11/08/2018
LAAIR: A Layered Architecture for Autonomous Interactive Robots
When developing general purpose robots, the overarching software archite...
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10/08/2018
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
Many hyperparameter optimization (HyperOpt) methods assume restricted co...
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10/08/2018
NSML: Meet the MLaaS platform with a real-world case study
The boom of deep learning induced many industries and academies to intro...
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09/24/2018
An Architecture for Person-Following using Active Target Search
This paper addresses a novel architecture for person-following robots us...
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09/24/2018
Social Navigation Planning Based on People's Awareness of Robots
When mobile robots maneuver near people, they run the risk of rudely blo...
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12/16/2017
NSML: A Machine Learning Platform That Enables You to Focus on Your Models
Machine learning libraries such as TensorFlow and PyTorch simplify model...
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09/29/2016
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
Deep learning has significantly advanced the state of the art in artific...
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02/07/2007