Papers
Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models
Arindam Mitra, Ishan Shrivastava, Chitta Baral
Enhancing Personalized Trip Recommendation with Attractive Routes
Jiqing Gu, Chao Song, Wenjun Jiang et al.
Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions
Yongjing Yin, Fandong Meng, Jinsong Su et al.
Ensembles of Locally Independent Prediction Models
Andrew Ross, Weiwei Pan, Leo Celi et al.
Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract)
Long Bai, Xiaolong Jin, Chuanzhi Zhuang et al.
Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues
Zahra Rahimi, Diane Litman
Enumerating Maximal k-Plexes with Worst-Case Time Guarantee
Yi Zhou, Jingwei Xu, Zhenyu Guo et al.
Envelope-Based Approaches to Real-Time Heuristic Search
Kevin Gall, Bence Cserna, Wheeler Ruml
Epistemic Integrity Constraints for Ontology-Based Data Management
Marco Console, Maurizio Lenzerini
EPOC: Efficient Perception via Optimal Communication
Masoumeh Heidari Kapourchali, Bonny Banerjee
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract)
Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere et al.
ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding
Yu Sun, Shuohuan Wang, Yukun Li et al.
Error-Correcting and Verifiable Parallel Inference in Graphical Models
Negin Karimi, Petteri Kaski, Mikko Koivisto
ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract)
Palak Goenka, Mehak Piplani, Ramit Sawhney et al.
Estimating Causal Effects Using Weighting-Based Estimators
Yonghan Jung, Jin Tian, Elias Bareinboim
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model
Likang Wu, Zhi Li, Hongke Zhao et al.
Estimating Stochastic Linear Combination of Non-Linear Regressions
Di Wang, Xiangyu Guo, Chaowen Guan et al.
Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms
Tuhin Sahai, Anurag Mishra, Jose Miguel Pasini et al.
Evaluating Commonsense in Pre-Trained Language Models
Xuhui Zhou, Yue Zhang, Leyang Cui et al.
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
Aditya Siddhant, Melvin Johnson, Henry Tsai et al.
Event-Driven Continuous Time Bayesian Networks
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao et al.
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
Mingyu Ding, Zhe Wang, Bolei Zhou et al.
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Aldo Pareja, Giacomo Domeniconi, Jie Chen et al.
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm
Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka et al.