Papers
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)
Li-Chun Huang, Nai-Zen Hsueh, Yen-Che Chien et al.
Are Transformers Effective for Time Series Forecasting?
Ailing Zeng, Muxi Chen, Lei Zhang et al.
A Risk-Sensitive Approach to Policy Optimization
Jared Markowitz, Ryan W. Gardner, Ashley Llorens et al.
A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses
Gunnar Grotmol, Eivind Hovdegård Furdal, Nisha Dalal et al.
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding
Lizhi Cheng, Wenmian Yang, Weijia Jia
A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification
Jianglin Lan, Benedikt Brückner, Alessio Lomuscio
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks
Stephen Keeley, Benjamin Letham, Craig Sanders et al.
A Set of Control Points Conditioned Pedestrian Trajectory Prediction
Inhwan Bae, Hae-Gon Jeon
A Simple Baseline for Multi-Camera 3D Object Detection
Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu et al.
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data
Ankur Ankan, Johannes Textor
A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER
Jinpeng Hu, DanDan Guo, Yang Liu et al.
A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis
Kaisong Song, Yangyang Kang, Jiawei Liu et al.
AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract)
Haoyang Chen, Shuai Liu, Feng Lu et al.
Astromorphic Self-Repair of Neuromorphic Hardware Systems
Zhuangyu Han, A N M Nafiul Islam, Abhronil Sengupta
A Structural Complexity Analysis of Synchronous Dynamical Systems
Eduard Eiben, Robert Ganian, Thekla Hamm et al.
A Study of Students’ Learning of Computing through an LP-Based Integrated Curriculum for Middle Schools
Joshua Archer, Rory Eckel, Joshua Hawkins et al.
A Survey on Model Compression and Acceleration for Pretrained Language Models
Canwen Xu, Julian McAuley
Asynchronous Event Processing with Local-Shift Graph Convolutional Network
Linhui Sun, Yifan Zhang, Jian Cheng et al.
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference
Jianwen Xie, Yaxuan Zhu, Yifei Xu et al.
A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation
Berker Banar, Nick Bryan-Kinns, Simon Colton
Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations
Jiawen Zheng, Bo Li, Shengchuan Zhang et al.
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection
Zizhang Wu, Yunzhe Wu, Jian Pu et al.
Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization
Behzad Bozorgtabar, Dwarikanath Mahapatra