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04/10/2023
EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System
Over the past decade, the electric vehicle industry has experienced unpr...
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03/16/2023
Effectively Modeling Time Series with Simple Discrete State Spaces
Time series modeling is a well-established problem, which often requires...
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02/13/2023
Simple Hardware-Efficient Long Convolutions for Sequence Modeling
State space models (SSMs) have high performance on long sequence modelin...
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07/14/2022
Contrastive Adapters for Foundation Model Group Robustness
While large pretrained foundation models (FMs) have shown remarkable zer...
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07/01/2022
Deep Learning and Symbolic Regression for Discovering Parametric Equations
Symbolic regression is a machine learning technique that can learn the g...
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04/15/2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
An ideal learned representation should display transferability and robus...
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03/24/2022
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision
Foundation models offer an exciting new paradigm for constructing models...
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03/17/2022
Triangle and Four Cycle Counting with Predictions in Graph Streams
We propose data-driven one-pass streaming algorithms for estimating the ...
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03/03/2022
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations
Spurious correlations pose a major challenge for robust machine learning...
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12/10/2021
Adaptive Differential Privacy Mechanism for Aggregated Mobility Dataset
Location data is collected from users continuously to acquire user mobil...
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12/15/2020
Personalized Federated Learning with First Order Model Optimization
While federated learning traditionally aims to train a single global mod...
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12/13/2020
Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery
Open, or non-laparoscopic surgery, represents the vast majority of all o...
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10/09/2020
Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning
Despite ample motivation from costly exploration and limited trajectory ...
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08/18/2020
Soft Multicopter Control using Neural Dynamics Identification
Dynamic control of a soft-body robot to deliver complex behaviors with l...
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11/24/2019
A change-point approach to identify hierarchical organization of topologically associated domains in chromatin interaction
The identification of spatial and temporal three-dimensional (3D) genome...
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06/01/2019
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
Multi-output Gaussian processes (GPs) are a flexible Bayesian nonparamet...
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11/06/2018
Deep Weighted Averaging Classifiers
Recent advances in deep learning have achieved impressive gains in class...
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02/18/2018
Improved OpenCL-based Implementation of Social Field Pedestrian Model
Two aspects of improvements are proposed for the OpenCL-based implementa...
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11/28/2017
Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions
In this study, we apply reinforcement learning techniques and propose wh...
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07/17/2017
Reverse Curriculum Generation for Reinforcement Learning
Many relevant tasks require an agent to reach a certain state, or to man...
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05/15/2017