Papers
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy
Genady Beryozkin, Yoel Drori, Oren Gilon et al.
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse
David Jurgens, Libby Hemphill, Eshwar Chandrasekharan
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi et al.
A Kernel Loss for Solving the Bellman Equation
Yihao Feng, Lihong Li, Qiang Liu
A Kernel Multiple Change-point Algorithm via Model Selection
Sylvain Arlot, Alain Celisse, Zaid Harchaoui
A Kernel Perspective for Regularizing Deep Neural Networks
Alberto Bietti, Grégoire Mialon, Dexiong Chen et al.
A Kernel Random Matrix-Based Approach for Sparse PCA
Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet
A Kernel Theory of Modern Data Augmentation
Tri Dao, Albert Gu, Alexander Ratner et al.
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling
Yue Chen, John Chen
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
Chuang Fan, Hongyu Yan, Jiachen Du et al.
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
Chuang Fan, Hongyu Yan, Jiachen Du et al.
A Label Informative Wide & Deep Classifier for Patents and Papers
Muyao Niu, Jie Cai
A Label Informative Wide & Deep Classifier for Patents and Papers
Muyao Niu, Jie Cai
A Large-Scale Corpus for Conversation Disentanglement
Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph J. Peper et al.
A Large-Scale Study on Regularization and Normalization in GANs
Karol Kurach, Mario Lučić, Xiaohua Zhai et al.
A Late Fusion CNN for Digital Matting
Yunke Zhang, Lixue Gong, Lubin Fan et al.
A Latent Variable Model for Learning Distributional Relation Vectors
Jose Camacho-Collados, Luis Espinosa-Anke, Shoaib Jameel et al.
A Latent Variational Framework for Stochastic Optimization
Philippe Casgrain
A Layer-Based Sequential Framework for Scene Generation with GANs
Mehmet Ozgur Turkoglu, William Thong, Luuk Spreeuwers et al.
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Weijie Chen, Yuan Zhang, Di Xie et al.
A Learnable Safety Measure
Steve Heim, Alexander von Rohr, Sebastian Trimpe et al.
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo Lopes, David Ha, Douglas Eck et al.
Alembic: Automated Model Inference for Stateful Network Functions
Soo-Jin Moon, Jeffrey Helt, Yifei Yuan et al.