Papers
Towards Fair, Equitable, and Efficient Peer Review
Ivan Stelmakh
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View
Tianyu Liu, Xin Zheng, Baobao Chang et al.
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks
Yu Chen, Sinno Jialin Pan
Towards Feature Space Adversarial Attack by Style Perturbation
Qiuling Xu, Guanhong Tao, Siyuan Cheng et al.
Towards Fully Automated Manga Translation
Ryota Hinami, Shonosuke Ishiwatari, Kazuhiko Yasuda et al.
Towards More Practical and Efficient Automatic Dominance Breaking
Jimmy H.M. Lee, Allen Z. Zhong
Towards Reusable Network Components by Learning Compatible Representations
Michael Gygli, Jasper Uijlings, Vittorio Ferrari
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution
Jiapeng Wang, Chongyu Liu, Lianwen Jin et al.
Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract)
Mingxuan Li, Michael L. Littman
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings?
Xuancheng Ren, Xu Sun, Houfeng Wang et al.
Towards Topic-Aware Slide Generation For Academic Papers With Unsupervised Mutual Learning
Da-Wei Li, Danqing Huang, Tingting Ma et al.
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
Christian Tomani, Florian Buettner
Towards Universal Physical Attacks on Single Object Tracking
Li Ding, Yongwei Wang, Kaiwen Yuan et al.
Toward Understanding the Influence of Individual Clients in Federated Learning
Yihao Xue, Chaoyue Niu, Zhenzhe Zheng et al.
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery
Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov et al.
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference
Bryan Wilder, Michael Mina, Milind Tambe
Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing
Run-Ze Wang, Zhen-Hua Ling, Jingbo Zhou et al.
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Xiyue Zhang, Chao Huang, Yong Xu et al.
Traffic Flow Prediction with Vehicle Trajectories
Mingqian Li, Panrong Tong, Mo Li et al.
Traffic Shaping in E-Commercial Search Engine: Multi-Objective Online Welfare Maximization
Liucheng Sun, Chenwei Weng, Chengfu Huo et al.
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
Yu Liu, Lianghua Huang, Pan Pan et al.
Training Binary Neural Network without Batch Normalization for Image Super-Resolution
Xinrui Jiang, Nannan Wang, Jingwei Xin et al.
Training Spiking Neural Networks with Accumulated Spiking Flow
Hao Wu, Yueyi Zhang, Wenming Weng et al.
Transfer Graph Neural Networks for Pandemic Forecasting
George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis