Papers
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Qi Ming, Zhiqiang Zhou, Lingjuan Miao et al.
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search
Alvaro Velasquez, Brett Bissey, Lior Barak et al.
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Yinjun Wu, Jingchao Ni, Wei Cheng et al.
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers
Shijie Geng, Peng Gao, Moitreya Chatterjee et al.
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing
Binyuan Hui, Ruiying Geng, Qiyu Ren et al.
Dynamic Knowledge Graph Alignment
Yuchen Yan, Lihui Liu, Yikun Ban et al.
Dynamic Memory based Attention Network for Sequential Recommendation
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu et al.
Dynamic Modeling Cross- and Self-Lattice Attention Network for Chinese NER
Shan Zhao, Minghao Hu, Zhiping Cai et al.
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
Taoran Ji, Nathan Self, Kaiqun Fu et al.
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering
Antoine Bosselut, Ronan Le Bras, Yejin Choi
Dynamic Position-aware Network for Fine-grained Image Recognition
Shijie Wang, Haojie Li, Zhihui Wang et al.
Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder
Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah et al.
Early Prediction of Children’s Task Completion in a Tablet Tutor using Visual Features (Student Abstract)
Bikram Boote, Mansi Agarwal, Jack Mostow
Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach
Yiyuan Yang, Yi Li, Taojia Zhang et al.
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition
Chengyu Wang, Mengli Cheng, Xu Hu et al.
EasyRL: A Simple and Extensible Reinforcement Learning Framework
Neil Hulbert, Sam Spillers, Brandon Francis et al.
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning
Tomer Golany, Daniel Freedman, Kira Radinsky
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
Zunlei Feng, Zhonghua Wang, Xinchao Wang et al.
Educational Question Mining At Scale: Prediction, Analysis and Personalization
Zichao Wang, Sebastian Tschiatschek, Simon Woodhead et al.
EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
Jiaoyang Li, Wheeler Ruml, Sven Koenig
EeLISA: Combating Global Warming Through the Rapid Analysis of Eelgrass Wasting Disease
Brendan H. Rappazzo, Morgan E. Eisenlord, Olivia J. Graham et al.
Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input
Hussain A. Chowdhury
Effective Slot Filling via Weakly-Supervised Dual-Model Learning
Jue Wang, Ke Chen, Lidan Shou et al.
Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings
Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz