Papers
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.
From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract)
Bhanu Garg, Kijun Kim, Sudhanshu Ranjan
Frozen Pretrained Transformers as Universal Computation Engines
Kevin Lu, Aditya Grover, Pieter Abbeel et al.
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education
Yan Zhuang, Qi Liu, Zhenya Huang et al.
Fully Attentional Network for Semantic Segmentation
Qi Song, Jie Li, Chenghong Li et al.
Fully Spiking Variational Autoencoder
Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada
Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents
Tom Young, Frank Xing, Vlad Pandelea et al.
Fusion Multiple Kernel K-means
Yi Zhang, Xinwang Liu, Jiyuan Liu et al.
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs
Xuelu Chen, Ziniu Hu, Yizhou Sun
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection
Wanwei He, Yinpei Dai, Yinhe Zheng et al.
Game Balancing in Dominion: An Approach to Identifying Problematic Game Elements
Cassandra Ford, Merrick Ohata
Game Design for Better Security of Combination Locks
Jean Pierre Astudillo Guerra, Karim Ahmed, Ryan Maher et al.
Gaussian Process Bandits with Aggregated Feedback
Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
Renchunzi Xie, Hongxin Wei, Lei Feng et al.
GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data
Kaiwen Cui, Jiaxing Huang, Zhipeng Luo et al.
Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings
Sean Matthews, John Hudzina, Dawn Sepehr
Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption
Ke Han, Chenyang Si, Yan Huang et al.