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09/10/2023
WIP: Development of a Student-Centered Personalized Learning Framework to Advance Undergraduate Robotics Education
This paper presents a work-in-progress on a learn-ing system that will p...
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08/23/2023
Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
Multivariate Time Series (MTS) forecasting involves modeling temporal de...
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10/24/2022
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems
Recommender systems are fundamental information filtering techniques to ...
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02/17/2022
Commentary: analyzing binary data using MCPMod when zero counts are expected
Bretz et al (2005) proposed multiple Comparison Procedure and Modeling (...
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02/14/2022
Conditional Generation Net for Medication Recommendation
Medication recommendation targets to provide a proper set of medicines a...
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11/23/2021
HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation
As a critical cue for understanding human intention, human gaze provides...
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11/04/2021
Multi-scale 2D Representation Learning for weakly-supervised moment retrieval
Video moment retrieval aims to search the moment most relevant to a give...
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07/05/2021
What Makes for Hierarchical Vision Transformer?
Recent studies show that hierarchical Vision Transformer with interleave...
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06/01/2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Can Transformer perform 2D object-level recognition from a pure sequence...
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12/13/2020
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation
The target of 2D human pose estimation is to locate the keypoints of bod...
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04/02/2020
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model
Nowadays, driven by the increasing concern on diet and health, food comp...
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02/12/2020
Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing
Deep Reinforcement Learning (RL) is proven powerful for decision making ...
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09/11/2019
RecSim: A Configurable Simulation Platform for Recommender Systems
We propose RecSim, a configurable platform for authoring simulation envi...
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06/04/2019
Exploiting Offset-guided Network for Pose Estimation and Tracking
Human pose estimation has witnessed a significant advance thanks to the ...
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05/29/2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
Most practical recommender systems focus on estimating immediate user en...
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02/16/2015
Clustering and Inference From Pairwise Comparisons
Given a set of pairwise comparisons, the classical ranking problem compu...
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03/06/2014
Collaborative Filtering with Information-Rich and Information-Sparse Entities
In this paper, we consider a popular model for collaborative filtering i...
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10/01/2013
Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and Trade-offs
In standard clustering problems, data points are represented by vectors,...
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04/25/2012