Papers
Controllable Text Simplification with Lexical Constraint Loss
Daiki Nishihara, Tomoyuki Kajiwara, Yuki Arase
Controllable Text-to-Image Generation
Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz et al.
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation
Ke Wang, Hang Hua, Xiaojun Wan
Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network
Bairui Wang, Lin Ma, Wei Zhang et al.
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents
Nikolaos Malandrakis, Minmin Shen, Anuj Goyal et al.
Controlling Grammatical Error Correction Using Word Edit Rate
Kengo Hotate, Masahiro Kaneko, Satoru Katsumata et al.
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation
Weston Feely, Eva Hasler, Adrià de Gispert
Controlling Neural Level Sets
Matan Atzmon, Niv Haim, Lior Yariv et al.
Controlling Neural Networks via Energy Dissipation
Michael Moeller, Thomas Mollenhoff, Daniel Cremers
Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator
Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu et al.
Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator
Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu et al.
Controlling Text Complexity in Neural Machine Translation
Sweta Agrawal, Marine Carpuat
Controlling Text Complexity in Neural Machine Translation
Sweta Agrawal, Marine Carpuat
Controlling the Specificity of Clarification Question Generation
Yang Trista Cao, Sudha Rao, Hal Daumé III
2019
ACL
Control Regularization for Reduced Variance Reinforcement Learning
Richard Cheng, Abhinav Verma, Gabor Orosz et al.
Control What You Can: Intrinsically Motivated Task-Planning Agent
Sebastian Blaes, Marin Vlastelica Pogančić, Jiajie Zhu et al.
ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT
John Pavlopoulos, Nithum Thain, Lucas Dixon et al.
Convergence Analysis of Gradient-Based Learning in Continuous Games
Benjamin Chasnov, Lillian Ratliff, Eric Mazumdar et al.
Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems
Koulik Khamaru, Martin J. Wainwright
Convergence Guarantees for Adaptive Bayesian Quadrature Methods
Motonobu Kanagawa, Philipp Hennig
Convergence of Adversarial Training in Overparametrized Neural Networks
Ruiqi Gao, Tianle Cai, Haochuan Li et al.
Convergence of Gradient Descent on Separable Data
Mor Shpigel Nacson, Jason Lee, Suriya Gunasekar et al.
Convergence of Learning Dynamics in Information Retrieval Games
Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz