Papers
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity
Shuang Cui, Kai Han, Jing Tang et al.
Predicate Invention for Bilevel Planning
Tom Silver, Rohan Chitnis, Nishanth Kumar et al.
Predicting Perceived Music Emotions with Respect to Instrument Combinations
Viet Dung Nguyen, Quan H. Nguyen, Richard G. Freedman
Predicting Temporal Sets with Simplified Fully Connected Networks
Le Yu, Zihang Liu, Tongyu Zhu et al.
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference
Xiangjie Li, Chenfei Lou, Yuchi Chen et al.
Predictive Multiplicity in Probabilistic Classification
Jamelle Watson-Daniels, David C. Parkes, Berk Ustun
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
Xinyi Hu, Jasper C.H. Lee, Jimmy H.M. Lee
Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation
Wenqing Chen, Jidong Tian, Caoyun Fan et al.
Preserve Context Information for Extract-Generate Long-Input Summarization Framework
Ruifeng Yuan, Zili Wang, Ziqiang Cao et al.
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer
Jingyu Wu, Lefan Hou, Zejian Li et al.
Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract)
Hamze Muse, Sahan Bulathwela, Emine Yilmaz
PrimeNet: Pre-training for Irregular Multivariate Time Series
Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang et al.
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models
Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura
Principled Data-Driven Decision Support for Cyber-Forensic Investigations
Soodeh Atefi, Sakshyam Panda, Emmanouil Panaousis et al.
Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering
Jiali You, Zhenwen Ren, Xiaojian You et al.
Privacy Attacks on Schedule-Driven Data
Stephan A. Fahrenkrog-Petersen, Arik Senderovich, Alexandra Tichauer et al.
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression
Yue Xiang, Dixin Luo, Hongteng Xu
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes
Huixin Zhan, Victor S. Sheng
Probabilistic Generalization of Backdoor Trees with Application to SAT
Alexander Semenov, Daniil Chivilikhin, Stepan Kochemazov et al.
Probabilistic Programs as an Action Description Language
Ronen I. Brafman, David Tolpin, Or Wertheim
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
Thom Badings, Licio Romao, Alessandro Abate et al.