Papers
Progression Heuristics for Planning with Probabilistic LTL Constraints
Ian Mallett, Sylvie Thiebaux, Felipe Trevizan
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction
Kai Sun, Richong Zhang, Samuel Mensah et al.
Progressive Network Grafting for Few-Shot Knowledge Distillation
Chengchao Shen, Xinchao Wang, Youtan Yin et al.
Progressive One-shot Human Parsing
Haoyu He, Jing Zhang, Bhavani Thuraisingham et al.
Projection-Free Bandit Optimization with Privacy Guarantees
Alina Ene, Huy L. Nguyen, Adrian Vladu
Projection-free Online Learning in Dynamic Environments
Yuanyu Wan, Bo Xue, Lijun Zhang
Projection-free Online Learning over Strongly Convex Sets
Yuanyu Wan, Lijun Zhang
Project RISE: Recognizing Industrial Smoke Emissions
Yen-Chia Hsu, Ting-Hao (Kenneth) Huang, Ting-Yao Hu et al.
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo)
Yixiao Lan, Yuan Liu, Boyang Li et al.
Proportionally Representative Participatory Budgeting with Ordinal Preferences
Haris Aziz, Barton E. Lee
Proportional Representation under Single-Crossing Preferences Revisited
Andrei Costin Constantinescu, Edith Elkind
Proposal-Free Video Grounding with Contextual Pyramid Network
Kun Li, Dan Guo, Meng Wang
Protecting the Protected Group: Circumventing Harmful Fairness
Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
Xiangyu Chang, Yingcong Li, Samet Oymak et al.
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size
Christoph Hertrich, Martin Skutella
Provably Secure Federated Learning against Malicious Clients
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Proxy Graph Matching with Proximal Matching Networks
Hao-Ru Tan, Chuang Wang, Si-Tong Wu et al.
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
Geonmo Gu, Byungsoo Ko, Han-Gyu Kim
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning
Qin Wang, Boyuan Wang, Zhenlei Xu et al.
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
Huaxi Huang, Junjie Zhang, Jian Zhang et al.
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, Pu Zhao, Chen Chen et al.
Pyramidal Feature Shrinking for Salient Object Detection
Mingcan Ma, Changqun Xia, Jia Li
Quantification of Resource Production Incompleteness
Yakoub Salhi
Quantum Binary Classification (Student Abstract)
Carla Silva, Ana Aguiar, Inês Dutra
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis
Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti et al.