Papers
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.
Exchangeable Generative Models with Flow Scans
Christopher Bender, Kevin O'Connor, Yang Li et al.
Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning
Sarath Sreedharan, Tathagata Chakraborti, Christian Muise et al.
Experimental Design for Optimization of Orthogonal Projection Pursuit Models
Mojmir Mutny, Johannes Kirschner, Andreas Krause
Explainability in Autonomous Pedagogical Agents
Silvia Tulli
Explainable Agency in Reinforcement Learning Agents
Prashan Madumal
Explainable Data Decompositions
Sebastian Dalleiger, Jilles Vreeken
Explainable Reinforcement Learning through a Causal Lens
Prashan Madumal, Tim Miller, Liz Sonenberg et al.
Explaining Propagators for String Edit Distance Constraints
Felix Winter, Nysret Musliu, Peter Stuckey
Explanations for Inconsistency-Tolerant Query Answering under Existential Rules
Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro