Papers
734 papers found
Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier
Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo
Deep Dynamic Boosted Forest
Haixin Wang, Xingzhang Ren, Jinan Sun et al.
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning
Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg et al.
DFQF: Data Free Quantization-aware Fine-tuning
Bowen Li, Kai Huang, Siang Chen et al.
Disentangled Representations for Sequence Data using Information Bottleneck Principle
Masanori Yamada, Heecheol Kim, Kosuke Miyoshi et al.
Dual Learning: Theoretical Study and an Algorithmic Extension
Zhibing Zhao, Yingce Xia, Tao Qin et al.
Efficient Attention Calibration Network for Real-Time Semantic Segmentation
Hengfeng Zha, Rui Liu, Dongsheng Zhou et al.
Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge
Yang Hong, Xinhuai Tang, Tiancheng Tang et al.
Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks
Maanik Arora, Naresh Manwani
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression
Yuchu Fang, Wenzhong Li, Yao Zeng et al.
Foolproof Cooperative Learning
Alexis Jacq, Julien Perolat, Matthieu Geist et al.
Geodesically-convex optimization for averaging partially observed covariance matrices
Florian Yger, Sylvain Chevallier, Quentin Barthélemy et al.
Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning
Jianxun Wang, David Roberts, Andinet Enquobahrie
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning
Paulo R d O Costa, Jason Rhuggenaath, Yingqian Zhang et al.
Learning Code Changes by Exploiting Bidirectional Converting Deviation
Jia-Wei Mi, Shu-Ting Shi, Ming Li
Learning Dynamic Context Graph Embedding
Chuanchang Chen, Yubo Tao, Hai Lin
Learning from Label Proportions with Consistency Regularization
Kuen-Han Tsai, Hsuan-Tien Lin
Learning Interpretable Models using Soft Integrity Constraints
Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre et al.
Localizing and Amortizing: Efficient Inference for Gaussian Processes
Linfeng Liu, Liping Liu
MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning
Kaushalya Madhawa, Tsuyoshi Murata
Monte-Carlo Graph Search: the Value of Merging Similar States
Edouard Leurent, Odalric-Ambrym Maillard
NENN: Incorporate Node and Edge Features in Graph Neural Networks
Yulei Yang, Dongsheng Li
Network Representation Learning Algorithm Based on Neighborhood Influence Sequence
Meng Liu, Ziwei Quan, Yong Liu
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies
Weipeng Huang, Guangyuan Piao, Raul Moreno et al.