Papers
First-Order Convex Fitting and Its Application to Economics and Optimization
Quinlan Dawkins, Minbiao Han, Haifeng Xu
First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics
David Toman, Grant Weddell
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition
Ola Ahmad, Freddy Lecue
Fixation Maximization in the Positional Moran Process
Joachim Brendborg, Panagiotis Karras, Andreas Pavlogiannis et al.
Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding
Shao-Hung Chan, Jiaoyang Li, Graeme Gange et al.
Flexible Instance-Specific Rationalization of NLP Models
George Chrysostomou, Nikolaos Aletras
Flexible-Window Predictions on Electronic Health Records
Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan et al.
Flow-Based Unconstrained Lip to Speech Generation
Jinzheng He, Zhou Zhao, Yi Ren et al.
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
Ana Lucic, Harrie Oosterhuis, Hinda Haned et al.
FORCE: A Framework of Rule-Based Conversational Recommender System
Jun Quan, Ze Wei, Qiang Gan et al.
Forecasting Asset Dependencies to Reduce Portfolio Risk
Haoren Zhu, Shih-Yang Liu, Pengfei Zhao et al.
Formal Semantics and Formally Verified Validation for Temporal Planning
Mohammad Abdulaziz, Lukas Koller
Formula Synthesis in Propositional Dynamic Logic with Shuffle
Sophie Pinchinat, Sasha Rubin, François Schwarzentruber
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis
Liat Ein-Dor, Ilya Shnayderman, Artem Spector et al.
Fourier Representations for Black-Box Optimization over Categorical Variables
Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam et al.
FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation
Jongwon Jeong, Jeong Choi, Hyunsouk Cho et al.
Fractional Adaptive Linear Units
Julio Zamora, Anthony D. Rhodes, Lama Nachman
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations
Yonghyun Jeong, Doyeon Kim, Youngmin Ro et al.
Frequency-Aware Contrastive Learning for Neural Machine Translation
Tong Zhang, Wei Ye, Baosong Yang et al.
From Actions to Programs as Abstract Actual Causes
Bita Banihashemi, Shakil M. Khan, Mikhail Soutchanski
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression
Runxin Xu, Fuli Luo, Chengyu Wang et al.
From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract)
Lei Zhang, Zhiqian Chen, Chang-Tien Lu et al.
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables
Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh et al.
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension
Nuo Chen, Linjun Shou, Ming Gong et al.
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs
Weijie Liu, Hui Qian, Chao Zhang et al.