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07/04/2023
A Generic Multi-Player Transformation Algorithm for Solving Large-Scale Zero-Sum Extensive-Form Adversarial Team Games
Many recent practical and theoretical breakthroughs focus on adversarial...
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05/05/2023
Data Curation for Image Captioning with Text-to-Image Generative Models
Recent advances in image captioning are mainly driven by large-scale vis...
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03/23/2023
Theoretical Model Construction of Deformation-Force for Soft Grippers Part I: Co-rotational Modeling and Force Control for Design Optimization
Compliant grippers, owing to adaptivity and safety, have attracted consi...
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03/22/2023
Theoretical Model Construction of Deformation-Force for Soft Grippers Part II: Displacement Control Based Intrinsic Force Sensing
Compliant grasping is an essential capability for most robots in practic...
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02/15/2023
Zero-Shot Anomaly Detection without Foundation Models
Anomaly detection (AD) tries to identify data instances that deviate fro...
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02/15/2023
Deep Anomaly Detection under Labeling Budget Constraints
Selecting informative data points for expert feedback can significantly ...
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10/24/2022
Multilingual Multimodal Learning with Machine Translated Text
Most vision-and-language pretraining research focuses on English tasks. ...
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08/26/2022
Enabling Massage Actions: An Interactive Parallel Robot with Compliant Joints
We propose a parallel massage robot with compliant joints based on the s...
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07/02/2022
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review
The intelligent dialogue system, aiming at communicating with humans har...
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05/27/2022
Raising the Bar in Graph-level Anomaly Detection
Graph-level anomaly detection has become a critical topic in diverse are...
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05/17/2022
Treatment Choice with Nonlinear Regret
The literature on treatment choice focuses on the mean of welfare regret...
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02/16/2022
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
Anomaly detection aims at identifying data points that show systematic d...
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02/08/2022
Detecting Anomalies within Time Series using Local Neural Transformations
We develop a new method to detect anomalies within time series, which is...
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11/16/2021
Switching Recurrent Kalman Networks
Forecasting driving behavior or other sensor measurements is an essentia...
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11/07/2021
GSG: A Granary Soft Gripper with Mechanical Force Sensing via 3-Dimensional Snap-Through Structure
Grasping is an essential capability for most robots in practical applica...
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10/15/2021
Combining Counterfactual Regret Minimization with Information Gain to Solve Extensive Games with Imperfect Information
Counterfactual regret Minimization (CFR) is an effective algorithm for s...
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09/13/2021
On Language Models for Creoles
Creole languages such as Nigerian Pidgin English and Haitian Creole are ...
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03/30/2021
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
Data transformations (e.g. rotations, reflections, and cropping) play an...
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10/20/2020
Variational Dynamic Mixtures
Deep probabilistic time series forecasting models have become an integra...
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06/16/2020
Deterministic Inference of Neural Stochastic Differential Equations
Model noise is known to have detrimental effects on neural networks, suc...
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01/10/2020
Learning Topometric Semantic Maps from Occupancy Grids
Today's mobile robots are expected to operate in complex environments th...
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09/05/2019
Rewarding Coreference Resolvers for Being Consistent with World Knowledge
Unresolved coreference is a bottleneck for relation extraction, and high...
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10/19/2018
