Papers
Reasoning on Knowledge Graphs with Debate Dynamics
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma et al.
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
Kyle Helfrich, Qiang Ye
EPOC: Efficient Perception via Optimal Communication
Masoumeh Heidari Kapourchali, Bonny Banerjee
Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data
Yuwei He, Xiaoming Jin, Guiguang Ding et al.
SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation
Tao He, Lianli Gao, Jingkuan Song et al.
Interpretable and Differentially Private Predictions
Frederik Harder, Matthias Bauer, Mijung Park
Robust Federated Learning via Collaborative Machine Teaching
Yufei Han, Xiangliang Zhang
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning
Yunhui Guo, Yandong Li, Liqiang Wang et al.
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience
Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu et al.
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack
Ziwei Guan, Kaiyi Ji, Donald J. Bucci Jr. et al.
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
Aditya Grover, Christopher Chute, Rui Shu et al.
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
Yongshun Gong, Zhibin Li, Jian Zhang et al.
Online Metric Learning for Multi-Label Classification
Xiuwen Gong, Dong Yuan, Wei Bao
Robust Gradient-Based Markov Subsampling
Tieliang Gong, Quanhan Xi, Chen Xu
Adversarially Robust Distillation
Micah Goldblum, Liam Fowl, Soheil Feizi et al.
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker et al.
Reinforcement Learning with Non-Markovian Rewards
Maor Gaon, Ronen Brafman
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
Sahil Garg, Irina Rish, Guillermo Cecchi et al.
Improved Algorithms for Conservative Exploration in Bandits
Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric et al.
Revisiting Bilinear Pooling: A Coding Perspective
Zhi Gao, Yuwei Wu, Xiaoxun Zhang et al.
A Multi-Channel Neural Graphical Event Model with Negative Evidence
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam et al.
Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis
Quanxue Gao, Huanhuan Lian, Qianqian Wang et al.
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering
Quanxue Gao, Wei Xia, Zhizhen Wan et al.