Papers
Invariant Representations with Stochastically Quantized Neural Networks
Mattia Cerrato, Marius Köppel, Roberto Esposito et al.
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks
Keunseo Kim, Eun-Yeol Ma, Jeongman Choi et al.
Invertible Conditional GAN Revisited: Photo-to-Manga Face Translation with Modern Architectures (Student Abstract)
Taro Hatakeyama, Ryusuke Saito, Komei Hiruta et al.
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu et al.
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
Yabin Wang, Zhiheng Ma, Zhiwu Huang et al.
Isometric Manifold Learning Using Hierarchical Flow
Ziqi Pan, Jianfu Zhang, Li Niu et al.
Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification
Jianglin Lan, Yang Zheng, Alessio Lomuscio
IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings
Jiajun Liu, Peng Wang, Ziyu Shang et al.
Jointly Imputing Multi-View Data with Optimal Transport
Yangyang Wu, Xiaoye Miao, Xinyu Huang et al.
Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging
Li Yuan, Yi Cai, Jin Wang et al.
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
Duy M. H. Nguyen, Hoang Nguyen, Truong T. N. Mai et al.
JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment
Jiaxiang Shang, Yu Zeng, Xin Qiao et al.
Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach
Wuyuan Xie, Shukang Wang, Sukun Tian et al.
Kajibuntan: A House Chore Division App
Ayumi Igarashi, Tomohiko Yokoyama
Kalman Bayesian Neural Networks for Closed-Form Online Learning
Philipp Wagner, Xinyang Wu, Marco F. Huber
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations
Kai Yang, Yongxin Xu, Peinie Zou et al.
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
Jaeyoung Kim, Seo Taek Kong, Dongbin Na et al.
KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction
Yilin Lu, Xiaoqiang Wang, Haofeng Yang et al.
KnowGL: Knowledge Generation and Linking from Text
Gaetano Rossiello, Md. Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya et al.
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer
Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych et al.
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment
Weixiang Zhao, Yanyan Zhao, Zhuojun Li et al.
Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering
Yao Jin, Guocheng Niu, Xinyan Xiao et al.
Knowledge Graph Embedding by Normalizing Flows
Changyi Xiao, Xiangnan He, Yixin Cao
Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract)
Seán Caulfield Curley, Karl Mason, Patrick Mannion