Papers
Topics in Selective Classification
Andrea Pugnana
Toplogical Data Analysis Detects and Classifies Sunspots (Student Abstract)
Aidan Lytle, Neil Pritchard, Alicia Aarnio et al.
Topological Distance Games
Martin Bullinger, Warut Suksompong
Topological Pooling on Graphs
Yuzhou Chen, Yulia R. Gel
TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection
Linhao Zhang, Li Jin, Xian Sun et al.
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
Federico Cabitza, Andrea Campagner, Valerio Basile
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
Kun Xiang, Xing Zhang, Jinwen She et al.
Toward Robust Uncertainty Estimation with Random Activation Functions
Yana Stoyanova, Soroush Ghandi, Maryam Tavakol
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
Yuting Ning, Zhenya Huang, Xin Lin et al.
Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains
Songtuan Lin, Alban Grastien, Pascal Bercher
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance
Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon et al.
Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases
Libo Qin, Zhouyang Li, Qiying Yu et al.
Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup
Sijia Liu, Patrick Lange, Behnam Hedayatnia et al.
Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ
Peifeng Gao, Qianqian Xu, Peisong Wen et al.
Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract)
Feng Chen, Chenghe Wang, Fuxiang Zhang et al.
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
Bin Sun, Yitong Li, Fei Mi et al.
Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs
Hongyan Bao, Yufei Han, Yujun Zhou et al.
Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract)
Liyuan Gao, Huixin Zhan, Austin Chen et al.
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
Tong Li, Jiale Deng, Yanyan Shen et al.
Towards Global Video Scene Segmentation with Context-Aware Transformer
Yang Yang, Yurui Huang, Weili Guo et al.
Towards Good Practices for Missing Modality Robust Action Recognition
Sangmin Woo, Sumin Lee, Yeonju Park et al.
Towards Hybrid Automation by Bootstrapping Conversational Interfaces for IT Operation Tasks
Jayachandu Bandlamudi, Kushal Mukherjee, Prerna Agarwal et al.
Towards In-Distribution Compatible Out-of-Distribution Detection
Boxi Wu, Jie Jiang, Haidong Ren et al.
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li, Kan Ren, Yifan Yang et al.