Papers
8,127 papers found
Thresholding Bandits with Augmented UCB
Subhojyoti Mukherjee, Naveen Kolar Purushothama, Nandan Sudarsanam et al.
Thwarting Vote Buying Through Decoy Ballots
David C. Parkes, Paul Tylkin, Lirong Xia
Top-k Supervise Feature Selection via ADMM for Integer Programming
Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang et al.
Tosca: Operationalizing Commitments Over Information Protocols
Thomas C. King, Akın Günay, Amit K. Chopra et al.
Towards A Relational Approach For Tool Creation By Robots
Handy Wicaksono
Towards Certified Unsolvability in Classical Planning
Gabriele Röger
Towards Understanding the Invertibility of Convolutional Neural Networks
Anna Gilbert, Yi Zhang, Kibok Lee et al.
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process
Ling Luo, Bin Li, Irena Koprinska et al.
Training Group Orthogonal Neural Networks with Privileged Information
Yunpeng Chen, Xiaojie Jin, Jiashi Feng et al.
Transfer Learning in Multi-Armed Bandits: A Causal Approach
Junzhe Zhang, Elias Bareinboim
TransNet: Translation-Based Network Representation Learning for Social Relation Extraction
Cunchao Tu, Zhengyan Zhang, Zhiyuan Liu et al.
TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets
Xin Zhao, Guiguang Ding, Yuchen Guo et al.
Two dimensional Large Margin Nearest Neighbor for Matrix Classification
Kun Song, Feiping Nie, Junwei Han
Understanding and Exploiting Language Diversity
Fausto Giunchiglia, Khuyagbaatar Batsuren, Gabor Bella
Understanding How Feature Structure Transfers in Transfer Learning
Tongliang Liu, Qiang Yang, Dacheng Tao
Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory
Chenyi Zhuang, Nicholas Jing Yuan, Ruihua Song et al.
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization
Yunhui Guo, Congfu Xu, Hanzhang Song et al.
Unified Representation and Lifted Sampling for Generative Models of Social Networks
Pablo Robles-Granda, Sebastian Moreno, Jennifer Neville
Universal Reinforcement Learning Algorithms: Survey and Experiments
John Aslanides, Jan Leike, Marcus Hutter
Unsatisfiable Core Shrinking for Anytime Answer Set Optimization
Mario Alviano, Carmine Dodaro
Unsupervised Deep Video Hashing with Balanced Rotation
Gengshen Wu, Li Liu, Yuchen Guo et al.
Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions
Bharat Lal Bhatnagar, Suriya Singh, Chetan Arora et al.
Unsupervised Learning via Total Correlation Explanation
Greg Ver Steeg