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09/19/2023
Improving Medical Dialogue Generation with Abstract Meaning Representations
Medical Dialogue Generation serves a critical role in telemedicine by fa...
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09/18/2023
Pre-training on Synthetic Driving Data for Trajectory Prediction
Accumulating substantial volumes of real-world driving data proves pivot...
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09/18/2023
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Safe Reinforcement Learning (RL) aims to find a policy that achieves hig...
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06/28/2023
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
Incorporating external graph knowledge into neural chatbot models has be...
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06/15/2023
Residual Q-Learning: Offline and Online Policy Customization without Value
Imitation Learning (IL) is a widely used framework for learning imitativ...
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06/14/2023
Skill-Critic: Refining Learned Skills for Reinforcement Learning
Hierarchical reinforcement learning (RL) can accelerate long-horizon dec...
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06/06/2023
TwistList: Resources and Baselines for Tongue Twister Generation
Previous work in phonetically-grounded language generation has mainly fo...
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05/12/2023
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing
Autonomous racing control is a challenging research problem as vehicles ...
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05/12/2023
Knowledge Soft Integration for Multimodal Recommendation
One of the main challenges in modern recommendation systems is how to ef...
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05/10/2023
CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation
Commonsense knowledge is crucial to many natural language processing tas...
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04/25/2023
Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection
Deep neural networks (DNNs) have promoted the development of computer ai...
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04/03/2023
Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation
Post-click Conversion Rate (CVR) prediction task plays an essential role...
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03/24/2023
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation
Traffic simulation plays a crucial role in evaluating and improving auto...
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03/17/2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
Neural Architecture Search (NAS) has shown promising performance in the ...
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02/14/2023
Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization
Mixed-precision quantization (MPQ) suffers from time-consuming policy se...
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11/17/2022
Outracing Human Racers with Model-based Autonomous Racing
Autonomous racing has become a popular sub-topic of autonomous driving i...
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10/27/2022
Terminology-aware Medical Dialogue Generation
Medical dialogue generation aims to generate responses according to a hi...
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10/22/2022
EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention
One of the key challenges of automatic story generation is how to genera...
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10/19/2022
Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics
Story generation aims to generate a long narrative conditioned on a give...
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10/19/2022
NGEP: A Graph-based Event Planning Framework for Story Generation
To improve the performance of long text generation, recent studies have ...
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05/24/2022
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning
Offline Reinforcement learning (RL) has shown potent in many safe-critic...
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04/21/2022
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
Deep learning has recently achieved significant progress in trajectory f...
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04/21/2022
Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach
Conventional model quantization methods use a fixed quantization scheme ...
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04/19/2022
Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction
Conditional behavior prediction (CBP) builds up the foundation for a coh...
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03/28/2022
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction
Motion forecasting in highly interactive scenarios is a challenging prob...
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03/16/2022
Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance
The exponentially large discrete search space in mixed-precision quantiz...
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03/06/2022
Recent Advances in Neural Text Generation: A Task-Agnostic Survey
In recent years much effort has been devoted to applying neural models t...
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01/04/2022
Clustering and Forecasting Multiple Functional Time Series
Modelling and forecasting homogeneous age-specific mortality rates of mu...
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12/01/2021
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
Multi-agent behavior modeling and trajectory forecasting are crucial for...
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11/09/2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
Reinforcement Learning (RL) has been shown effective in domains where th...
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09/09/2021
Multi-population mortality forecasting using high-dimensional functional factor models
This paper proposes a two-fold factor model for high-dimensional functio...
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02/23/2021
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
Explainability is essential for autonomous vehicles and other robotics s...
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10/21/2020
Adaptive Structured Sparse Network for Efficient CNNs with Feature Regularization
Neural networks have made great progress in pixel to pixel image process...
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09/17/2020
Functional data analysis: An application to COVID-19 data in the United States
The COVID-19 pandemic so far has caused huge negative impacts on differe...
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11/11/2019
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network
Probabilistic vehicle trajectory prediction is essential for robust safe...
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10/26/2019
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
Learning from demonstrations is a popular tool for accelerating and redu...
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12/07/2018
