Papers
Prompting Neural Machine Translation with Translation Memories
Abudurexiti Reheman, Tao Zhou, Yingfeng Luo et al.
Properties of Position Matrices and Their Elections
Niclas Boehmer, Jin-Yi Cai, Piotr Faliszewski et al.
Proportional Decisions in Perpetual Voting
Martin Lackner, Jan Maly
Proportionality in Approval-Based Participatory Budgeting
Markus Brill, Stefan Forster, Martin Lackner et al.
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes
Yiqiao Jin, Xiting Wang, Yaru Hao et al.
Prototypical Partial Optimal Transport for Universal Domain Adaptation
Yucheng Yang, Xiang Gu, Jian Sun
Prototyping Logic-Based AI Services with LogicUS
Víctor Ramos-González, Joaquín Borrego-Díaz, Fernando Sancho-Caparrini
Provable Detection of Propagating Sampling Bias in Prediction Models
Pavan Ravishankar, Qingyu Mo, Edward McFowland III et al.
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Yingcong Li, Samet Oymak
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
Mirco Mutti, Riccardo De Santi, Emanuele Rossi et al.
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu et al.
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies
Yu Shen, Yang Li, Jian Zheng et al.
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
Xiaojian Yuan, Kejiang Chen, Jie Zhang et al.
PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets
Jinghui Lu, Rui Zhao, Brian Mac Namee et al.
PUPS: Point Cloud Unified Panoptic Segmentation
Shihao Su, Jianyun Xu, Huanyu Wang et al.
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores
Ziqi Yang, Lijin Wang, Da Yang et al.
QA Is the New KR: Question-Answer Pairs as Knowledge Bases
William W. Cohen, Wenhu Chen, Michiel De Jong et al.
Q-functionals for Value-Based Continuous Control
Samuel Lobel, Sreehari Rammohan, Bowen He et al.
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data
Chongsheng Zhang, Yaxin Hou, Ke Chen et al.
Quantify the Political Bias in News Edits: Experiments with Few-Shot Learners (Student Abstract)
Preetika Verma, Hansin Ahuja, Kokil Jaidka
Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks
Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee et al.
Quantized Feature Distillation for Network Quantization
Ke Zhu, Yin-Yin He, Jianxin Wu
Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation
Junwei Zhang, Ruifang He, Fengyu Guo
Quantum Multi-Agent Meta Reinforcement Learning
Won Joon Yun, Jihong Park, Joongheon Kim