Papers
Quantile-Based Maximum Likelihood Training for Outlier Detection
Masoud Taghikhah, Nishant Kumar, Siniša Šegvić et al.
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation
Thomas Bailie, Yun Sing Koh, Neelesh Rampal et al.
Quantum-Inspired Neural Network with Runge-Kutta Method
Zipeng Fan, Jing Zhang, Peng Zhang et al.
Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation
Junwei Zhang, Ruifang He, Fengyu Guo et al.
QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters
Yushan Liu, Zili Wang, Ruifeng Yuan
Question Calibration and Multi-Hop Modeling for Temporal Question Answering
Chao Xue, Di Liang, Pengfei Wang et al.
QuickRender: A Photorealistic Procedurally Generated Dataset with Applications to Super Resolution (Student Abstract)
Morgan Payette, Charlotte Curtis
Quilt: Robust Data Segment Selection against Concept Drifts
Minsu Kim, Seong-Hyeon Hwang, Steven Euijong Whang
Racing Control Variable Genetic Programming for Symbolic Regression
Nan Jiang, Yexiang Xue
RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation
Changsong Pang, Xieyuanli Chen, Yimin Liu et al.
RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation
Haiming Zhang, Xu Yan, Dongfeng Bai et al.
Rating-Based Reinforcement Learning
Devin White, Mingkang Wu, Ellen Novoseller et al.
Reachability of Fair Allocations via Sequential Exchanges
Ayumi Igarashi, Naoyuki Kamiyama, Warut Suksompong et al.
Reading between the Lines: Image-Based Order Detection in OCR for Chinese Historical Documents
Hsing-Yuan Ma, Hen-Hsen Huang, Chao-Lin Liu
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
Thong Nguyen, Xiaobao Wu, Xinshuai Dong et al.
Real3D: The Curious Case of Neural Scene Degeneration
Dengsheng Chen, Jie Hu, Xiaoming Wei et al.
Reasoning about Causality in Games (Abstract Reprint)
Lewis Hammond, James Fox, Tom Everitt et al.
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang, Dong-Wan Choi
Recasting Regional Lighting for Shadow Removal
Yuhao Liu, Zhanghan Ke, Ke Xu et al.
Recent Advancements in Inverse Reinforcement Learning
Alberto Maria Metelli
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera
Junwei Zhao, Shiliang Zhang, Zhaofei Yu et al.
Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization
Craig Boutilier, Martin Mladenov, Guy Tennenholtz
Reconciling Predictive and Statistical Parity: A Causal Approach
Drago Plecko, Elias Bareinboim