Papers
Adaptive Beam Search Decoding for Discrete Keyphrase Generation
Xiaoli Huang, Tongge Xu, Lvan Jiao et al.
Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities
Alina Ene, Huy L. Nguyen, Adrian Vladu
Adaptive Knowledge Driven Regularization for Deep Neural Networks
Zhaojing Luo, Shaofeng Cai, Can Cui et al.
Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection
Mengyin Liu, Chao Zhu, Jun Wang et al.
Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation
Wei Cheng, Ziyan Luo, Qiyue Yin
Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners
Zhe Xu, Yuxin Chen, Ufuk Topcu
Adaptive Verifiable Training Using Pairwise Class Similarity
Shiqi Wang, Kevin Eykholt, Taesung Lee et al.
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation
Gengwei Zhang, Yiming Gao, Hang Xu et al.
A Data-Driven Approach for Gin Rummy Hand Evaluation
Sang T. Truong, Todd W. Neller
Addressing Action Oscillations through Learning Policy Inertia
Chen Chen, Hongyao Tang, Jianye Hao et al.
Addressing Class Imbalance in Federated Learning
Lixu Wang, Shichao Xu, Xiao Wang et al.
Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation
Li Gao, Lefei Zhang, Qian Zhang
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization
Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran et al.
A Deep Learning Framework for Improving Lameness Identification in Dairy Cattle
Yasmine Karoui, Amanda A. Boatswain Jacques, Abdoulaye Baniré Diallo et al.
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni et al.
A Deterministic Neural Network Approach to Playing Gin Rummy
Viet Dung Nguyen, Dung Doan, Todd W. Neller
A Double Phases Generation Network for Yes or No Question Generation (Student Abstract)
Jiayuan Xie, Feng Chen, Yi Cai et al.
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
Rei Sato, Jun Sakuma, Youhei Akimoto
Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles
Bo Huang, Zhiwei Ke, Yi Wang et al.
Adversarial Directed Graph Embedding
Shijie Zhu, Jianxin Li, Hao Peng et al.
Adversarial Language Games for Advanced Natural Language Intelligence
Yuan Yao, Haoxi Zhong, Zhengyan Zhang et al.
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
Lingda Wang, Bingcong Li, Huozhi Zhou et al.
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
Yubei Xiao, Ke Gong, Pan Zhou et al.
Adversarial Partial Multi-Label Learning with Label Disambiguation
Yan Yan, Yuhong Guo
Adversarial Permutation Guided Node Representations for Link Prediction
Indradyumna Roy, Abir De, Soumen Chakrabarti