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09/18/2023
Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help
This paper addresses a new motion planning problem for mobile robots tas...
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05/16/2023
An Empirical Study on Google Research Football Multi-agent Scenarios
Few multi-agent reinforcement learning (MARL) research on Google Researc...
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10/21/2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning
Contrastive learning has emerged as a powerful tool for graph representa...
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10/15/2022
AMD-DBSCAN: An Adaptive Multi-density DBSCAN for datasets of extremely variable density
DBSCAN has been widely used in density-based clustering algorithms. Howe...
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09/28/2022
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding
Most recent research on Text-to-SQL semantic parsing relies on either pa...
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09/17/2022
FR: Folded Rationalization with a Unified Encoder
Conventional works generally employ a two-phase model in which a generat...
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09/05/2022
SPCNet: Stepwise Point Cloud Completion Network
How will you repair a physical object with large missings? You may first...
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09/02/2022
Which country is this picture from? New data and methods for DNN-based country recognition
Predicting the country where a picture has been taken from has many pote...
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02/14/2022
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Satisfying safety constraints almost surely (or with probability one) ca...
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01/12/2022
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach
The Elo rating system is widely adopted to evaluate the skills of (chess...
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07/31/2021
Distributed Learning for Time-varying Networks: A Scalable Design
The wireless network is undergoing a trend from "onnection of things" to...
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01/12/2021
FaceX-Zoo: A PyTorch Toolbox for Face Recognition
Deep learning based face recognition has achieved significant progress i...
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12/07/2020
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation
We introduce HEBO: Heteroscedastic Evolutionary Bayesian Optimisation th...
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07/20/2020
NPCFace: A Negative-Positive Cooperation Supervision for Training Large-scale Face Recognition
Deep face recognition has made remarkable advances in the last few years...
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04/29/2020
Actor-Critic Reinforcement Learning for Control with Stability Guarantee
Deep Reinforcement Learning (DRL) has achieved impressive performance in...
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04/18/2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder
Learning disentanglement aims at finding a low dimensional representatio...
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04/13/2020
Controllable Variational Autoencoder
Variational Autoencoders (VAE) and their variants have been widely used ...
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03/03/2020
CRATOS: Cogination of Reliable Algorithm for Time-series Optimal Solution
Anomaly detection of time series plays an important role in reliability ...
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01/17/2019
AI Coding: Learning to Construct Error Correction Codes
In this paper, we investigate an artificial-intelligence (AI) driven app...
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10/10/2018
Learning Multi-agent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative Imperfect-Information Game
In situations where explicit communication is limited, a human collabora...
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03/06/2018
MIS-SLAM: Real-time Large Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing
Real-time simultaneously localization and dense mapping is very helpful ...
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11/30/2017
Thermostat-assisted Continuous-tempered Hamiltonian Monte Carlo for Multimodal Posterior Sampling
In this paper, we propose a new sampling method named as the thermostat-...
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06/16/2017
Adversarial Variational Inference for Tweedie Compound Poisson Models
Tweedie Compound Poisson models are heavily used for modelling non-negat...
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03/06/2017
