Papers
IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution
Mark Feblowitz, Oktie Hassanzadeh, Michael Katz et al.
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig et al.
Identity-aware Graph Neural Networks
Jiaxuan You, Jonathan M Gomes-Selman, Rex Ying et al.
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification
Hanqing Tao, Shiwei Tong, Kun Zhang et al.
IDOL: Inertial Deep Orientation-Estimation and Localization
Scott Sun, Dennis Melamed, Kris Kitani
IFDDS: An Anti-fraud Outbound Robot
Zihao Wang, Minghui Yang, Chunxiang Jin et al.
If You Like Shapley Then You’ll Love the Core
Tom Yan, Ariel D. Procaccia
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network
Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa et al.
Image Captioning with Context-Aware Auxiliary Guidance
Zeliang Song, Xiaofei Zhou, Zhendong Mao et al.
Image-to-Image Retrieval by Learning Similarity between Scene Graphs
Sangwoong Yoon, Woo Young Kang, Sungwook Jeon et al.
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning
Chunpu Xu, Min Yang, Chengming Li et al.
Implicit Kernel Attention
Kyungwoo Song, Yohan Jung, Dongjun Kim et al.
Improved Consistency Regularization for GANs
Zhengli Zhao, Sameer Singh, Honglak Lee et al.
Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability
Shashank Shekhar, Ronen I. Brafman, Guy Shani
Improved Mutual Information Estimation
Youssef Mroueh, Igor Melnyk, Pierre Dognin et al.
Improved POMDP Tree Search Planning with Prioritized Action Branching
John Mern, Anil Yildiz, Lawrence Bush et al.
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
Priyank Agrawal, Jinglin Chen, Nan Jiang
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
Xin Li, Xiangrui Li, Deng Pan et al.
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract)
Prateek Garg, Murari Mandal, Pratik Narang
Improving Causal Discovery By Optimal Bayesian Network Learning
Ni Y Lu, Kun Zhang, Changhe Yuan
Improving Causal Inference by Increasing Model Expressiveness
David D. Jensen
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation
Ieva Staliūnaitė, Philip John Gorinski, Ignacio Iacobacci
Improving Continuous-time Conflict Based Search
Anton Andreychuk, Konstantin Yakovlev, Eli Boyarski et al.
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness
Anh Tuan Bui, Trung Le, He Zhao et al.