Papers
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
Ran Tao, Han Zhang, Yutong Zheng et al.
Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs
Mingyu Guo, Jialiang Li, Aneta Neumann et al.
Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation
Patrick Huber, Linzi Xing, Giuseppe Carenini
Predicting Physical World Destinations for Commands Given to Self-Driving Cars
Dusan Grujicic, Thierry Deruyttere, Marie-Francine Moens et al.
Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract)
Joseph Kitzhaber, Ashlyn Trapp, James Beck et al.
Predicting the Influence of Fake and Real News Spreaders (Student Abstract)
Amy Zhang, Aaron Brookhouse, Daniel Hammer et al.
Predictive Maintenance for General Aviation Using Convolutional Transformers
Hong Yang, Aidan LaBella, Travis Desell
Predictive Student Modelling in an Online Reading Platform
Effat Farhana, Teomara Rutherford, Collin F. Lynch
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks
Seungyong Moon, Gaon An, Hyun Oh Song
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
Zhiyuan Wang, Xovee Xu, Goce Trajcevski et al.
Preparing High School Teachers to Integrate AI Methods into STEM Classrooms
Irene Lee, Beatriz Perret
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Xuan Gong, Abhishek Sharma, Srikrishna Karanam et al.
Pretrained Cost Model for Distributed Constraint Optimization Problems
Yanchen Deng, Shufeng Kong, Bo An
Prevailing in the Dark: Information Walls in Strategic Games
Pavel Naumov, Wenxuan Zhang
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning
Linhang Cai, Zhulin An, Chuanguang Yang et al.
Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce
Heng-Yi Li, Yabo Ni, Anxiang Zeng et al.
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection
Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan et al.
Privacy-Preserving Face Recognition in the Frequency Domain
Yinggui Wang, Jian Liu, Man Luo et al.
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
Praneeth Vepakomma, Julia Balla, Ramesh Raskar
Private Rank Aggregation in Central and Local Models
Daniel Alabi, Badih Ghazi, Ravi Kumar et al.
PrivateSNN: Privacy-Preserving Spiking Neural Networks
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Probing Linguistic Information for Logical Inference in Pre-trained Language Models
Zeming Chen, Qiyue Gao
Probing Word Syntactic Representations in the Brain by a Feature Elimination Method
Xiaohan Zhang, Shaonan Wang, Nan Lin et al.
Procedural Text Understanding via Scene-Wise Evolution
Jialong Tang, Hongyu Lin, Meng Liao et al.
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback
Junxiong Wang, Debabrota Basu, Immanuel Trummer