Papers
20,003 papers found
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning
Quentin Cappart, Emmanuel Goutierre, David Bergman et al.
Improving Search with Supervised Learning in Trick-Based Card Games
Christopher Solinas, Douglas Rebstock, Michael Buro
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting
Yuyang Gao, Liang Zhao, Lingfei Wu et al.
Incorporating Behavioral Constraints in Online AI Systems
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei et al.
Incorporating Network Embedding into Markov Random Field for Better Community Detection
Di Jin, Xinxin You, Weihao Li et al.
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning
Ji Zhao, Dan Peng, Chuhan Wu et al.
Incorporating Structured Commonsense Knowledge in Story Completion
Jiaao Chen, Jianshu Chen, Zhou Yu
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
Farhad Shakerin, Gopal Gupta
Inferring Concept Prerequisite Relations from Online Educational Resources
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence et al.
InfoVAE: Balancing Learning and Inference in Variational Autoencoders
Shengjia Zhao, Jiaming Song, Stefano Ermon
Instance-Level Facial Attributes Transfer with Geometry-Aware Flow
Weidong Yin, Ziwei Liu, Chen Change Loy
Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation
Juntao Li, Lisong Qiu, Bo Tang et al.
Interaction-Aware Factorization Machines for Recommender Systems
Fuxing Hong, Dongbo Huang, Ge Chen
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification
Kai Zhang, Hefu Zhang, Qi Liu et al.
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
Ziyu Yao, Xiujun Li, Jianfeng Gao et al.
Inter-Class Angular Loss for Convolutional Neural Networks
Le Hui, Xiang Li, Chen Gong et al.
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms
Qi Lou, Rina Dechter, Alexander Ihler
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso
Sijie He, Xinyan Li, Vidyashankar Sivakumar et al.
Interpretation of Neural Networks Is Fragile
Amirata Ghorbani, Abubakar Abid, James Zou
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods
Hao Yuan, Yongjun Chen, Xia Hu et al.
Inverse Abstraction of Neural Networks Using Symbolic Interpolation
Sumanth Dathathri, Sicun Gao, Richard M. Murray
IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs
Yanlin Han, Piotr Gmytrasiewicz
Is Everything Going According to Plan? Expectations in Goal Reasoning Agents
Héctor Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder