Papers
Learning Higher-Order Logic Programs From Failures
Stanisław J. Purgał, David M. Cerna, Cezary Kaliszyk
Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields
Guangming Yao, Hongzhi Wu, Yi Yuan et al.
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering
Yunhao Zhang, Junchi Yan, Xiaolu Zhang et al.
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences
Zhibing Zhao, Ao Liu, Lirong Xia
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
Cheng Luo, Siyang Song, Weicheng Xie et al.
Learning Pollution Maps from Mobile Phone Images
Ankit Bhardwaj, Shiva Iyer, Yash Jalan et al.
Learning Prototype via Placeholder for Zero-shot Recognition
Zaiquan Yang, Yang Liu, Wenjia Xu et al.
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract)
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann et al.
Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images
Chong Yin, Siqi Liu, Vincent Wai-Sun Wong et al.
Learning Target-aware Representation for Visual Tracking via Informative Interactions
Mingzhe Guo, Zhipeng Zhang, Heng Fan et al.
Learning to Assemble Geometric Shapes
Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung et al.
Learning to Estimate Object Poses without Real Image Annotations
Haotong Lin, Sida Peng, Zhize Zhou et al.
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
Pu Zhao, Parikshit Ram, Songtao Lu et al.
Learning to Generate Poetic Chinese Landscape Painting with Calligraphy
Shaozu Yuan, Aijun Dai, Zhiling Yan et al.
Learning to Hash Naturally Sorts
Jiaguo Yu, Yuming Shen, Menghan Wang et al.
Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation
Cheng Feng, Chaoliang Zhong, Jie Wang et al.
Learn to Reverse DNNs from AI Programs Automatically
Simin Chen, Hamed Khanpour, Cong Liu et al.
Legal Judgment Prediction: A Survey of the State of the Art
Yi Feng, Chuanyi Li, Vincent Ng
Let’s Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics
Sirin Botan, Simon Rey, Zoi Terzopoulou
Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods
Niklas Hopner, Ilaria Tiddi, Herke van Hoof
Leveraging the Wikipedia Graph for Evaluating Word Embeddings
Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum et al.
Lexicographic Entailment, Syntax Splitting and the Drowning Problem
Jesse Heyninck, Gabriele Kern-Isberner, Thomas Meyer
Lexicographic Multi-Objective Reinforcement Learning
Joar Skalse, Lewis Hammond, Charlie Griffin et al.