Papers
Automated Spectral Kernel Learning
Jian Li, Yong Liu, Weiping Wang
Automated Synthesis of Social Laws in STRIPS
Ronen Nir, Alexander Shleyfman, Erez Karpas
Automated Utterance Generation
Soham Parikh, Quaizar Vohra, Mitul Tiwari
Automatically Neutralizing Subjective Bias in Text
Reid Pryzant, Richard Diehl Martinez, Nathan Dass et al.
Automatic Building and Labeling of HD Maps with Deep Learning
Mahdi Elhousni, Yecheng Lyu, Ziming Zhang et al.
Automatic Fact-Guided Sentence Modification
Darsh Shah, Tal Schuster, Regina Barzilay
Automatic Generation of Headlines for Online Math Questions
Ke Yuan, Dafang He, Zhuoren Jiang et al.
Automatic Text-Based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings (Student Abstract)
Hang Jiang, Xianzhe Zhang, Jinho D. Choi
Automatic Verification of Liveness Properties in the Situation Calculus
Jian Li, Yongmei Liu
AutoRemover: Automatic Object Removal for Autonomous Driving Videos
Rong Zhang, Wei Li, Peng Wang et al.
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture
Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li et al.
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes
Dominik Linzner, Heinz Koeppl
A Variational Point Process Model for Social Event Sequences
Zhen Pan, Zhenya Huang, Defu Lian et al.
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses
Tong Niu, Mohit Bansal
AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
Weiting Huang, Pengfei Ren, Jingyu Wang et al.
Background Suppression Network for Weakly-Supervised Temporal Action Localization
Pilhyeon Lee, Youngjung Uh, Hyeran Byun
Back to the Future – Temporal Adaptation of Text Representations
Johannes Bjerva, Wouter Kouw, Isabelle Augenstein
Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation
Tianxiang Zhao, Lemao Liu, Guoping Huang et al.
Balancing Spreads of Influence in a Social Network
Ruben Becker, Federico Corò, Gianlorenzo D'Angelo et al.
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
Vedant Nanda, Pan Xu, Karthik Abhinav Sankararaman et al.
BAR — A Reinforcement Learning Agent for Bounding-Box Automated Refinement
Morgane Ayle, Jimmy Tekli, Julia El-Zini et al.
BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)
Donghyeon Lee, Man-Je Kim, Chang Wook Ahn
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim