Papers
Optimal Tensor Transport
Tanguy Kerdoncuff, Rémi Emonet, Michael Perrot et al.
Optimistic Initialization for Exploration in Continuous Control
Sam Lobel, Omer Gottesman, Cameron Allen et al.
Optimization for Classical Machine Learning Problems on the GPU
Sören Laue, Mark Blacher, Joachim Giesen
Optimized Potential Initialization for Low-Latency Spiking Neural Networks
Tong Bu, Jianhao Ding, Zhaofei Yu et al.
Optimizing Binary Decision Diagrams with MaxSAT for Classification
Hao Hu, Marie-José Huguet, Mohamed Siala
Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)
Songwei Shan, Qi Tan, Yiu Chung Lau et al.
Orthogonal Graph Neural Networks
Kai Guo, Kaixiong Zhou, Xia Hu et al.
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing
Bing Han, Cheng Wang, Kaushik Roy
Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data
Nils Schwenzfeier, Markus Heikamp, Ole Meyer et al.
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
Andre T. Nguyen, Fred Lu, Gary Lopez Munoz et al.
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning
Sheng Liu, Kevin Lin, Lijuan Wang et al.
P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence
Yahao Shi, Xinyu Cao, Feixiang Lu et al.
PageRank for Edges: Axiomatic Characterization
Natalia Kucharczuk, Tomasz Wąs, Oskar Skibski
PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions
Sujatha Das Gollapalli, See-Kiong Ng, Ying Kiat Tham et al.
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention
Sitong Wu, Tianyi Wu, Haoru Tan et al.
Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration
Yinhuai Wang, Yujie Hu, Jian Zhang
PantheonRL: A MARL Library for Dynamic Training Interactions
Bidipta Sarkar, Aditi Talati, Andy Shih et al.
Parallel and High-Fidelity Text-to-Lip Generation
Jinglin Liu, Zhiying Zhu, Yi Ren et al.
Parameter Differentiation Based Multilingual Neural Machine Translation
Qian Wang, Jiajun Zhang
Parameterized Approximation Algorithms for K-center Clustering and Variants
Sayan Bandyapadhyay, Zachary Friggstad, Ramin Mousavi
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings
Xiuwen Gong, Dong Yuan, Wei Bao
Partial Wasserstein Covering
Keisuke Kawano, Satoshi Koide, Keisuke Otaki
Participatory Budgeting with Donations and Diversity Constraints
Jiehua Chen, Martin Lackner, Jan Maly