Papers
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
David T. Hoffmann, Nadine Behrmann, Juergen Gall et al.
RareGAN: Generating Samples for Rare Classes
Zinan Lin, Hao Liang, Giulia Fanti et al.
Real-Time Driver-Request Assignment in Ridesourcing
Hao Wang, Xiaohui Bei
Reasoning about Causal Models with Infinitely Many Variables
Joseph Y. Halpern, Spencer Peters
Reconfiguring Shortest Paths in Graphs
Kshitij Gajjar, Agastya Vibhuti Jha, Manish Kumar et al.
Recovering the Propensity Score from Biased Positive Unlabeled Data
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio et al.
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
Fangda Gu, He Yin, Laurent El Ghaoui et al.
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning
Xiaobai Ma, David Isele, Jayesh K. Gupta et al.
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract)
Hitesh Vaidya, Travis Desell, Alexander G. Ororbia
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features
Muhammad Sarmad, Mishal Fatima, Jawad Tayyub
Reducing Flipping Errors in Deep Neural Networks
Xiang Deng, Yun Xiao, Bo Long et al.
Reference-Based Speech Enhancement via Feature Alignment and Fusion Network
Huanjing Yue, Wenxin Duo, Xiulian Peng et al.
Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation
Constantin Marc Seibold, Simon Reiß, Jens Kleesiek et al.
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
Gyri Reiersen, David Dao, Björn Lütjens et al.
Reforming an Envy-Free Matching
Takehiro Ito, Yuni Iwamasa, Naonori Kakimura et al.
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
Aviv Tamar, Daniel Soudry, Ev Zisselman
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
Runpeng Yu, Hong Zhu, Kaican Li et al.
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment
Tieliang Gong, Yuxin Dong, Hong Chen et al.
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement
Yichao Du, Zhirui Zhang, Weizhi Wang et al.
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
Deyu Bo, Binbin Hu, Xiao Wang et al.
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits
Guojun Xiong, Jian Li, Rahul Singh
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting
Yuwei Fu, Di Wu, Benoit Boulet
Reinforcement Learning Explainability via Model Transforms (Student Abstract)
Mira Finkelstein, Lucy Liu, Yoav Kolumbus et al.
Reinforcement Learning for Datacenter Congestion Control
Chen Tessler, Yuval Shpigelman, Gal Dalal et al.