Papers
Towards Making Learnware Specification and Market Evolvable
Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
Di Mi, Yanjun Zhang, Leo Yu Zhang et al.
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction
Wei Qian, Chenxu Zhao, Yangyi Li et al.
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
Chengen Lai, Shengli Song, Shiqi Meng et al.
Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport
Xuxin Cheng, Zhihong Zhu, Hongxiang Li et al.
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition
Yuning Qiu, Guoxu Zhou, Andong Wang et al.
Towards Optimal Subsidy Bounds for Envy-Freeable Allocations
Yasushi Kawase, Kazuhisa Makino, Hanna Sumita et al.
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization
Yongyi Su, Xun Xu, Kui Jia
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
Zhiying Jiang, Xingyuan Li, Jinyuan Liu et al.
Towards Robustness to Natural Variations and Distribution Shift (Student Abstract)
Josué Martínez-Martínez, Olivia Brown, Rajmonda Caceres
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms
Tianhao Lu, Chao Bian, Chao Qian
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach
Shalmali Joshi, Junzhe Zhang, Elias Bareinboim
Towards Squeezing-Averse Virtual Try-On via Sequential Deformation
Sang-Heon Shim, Jiwoo Chung, Jae-Pil Heo
Towards the Robustness of Differentially Private Federated Learning
Tao Qi, Huili Wang, Yongfeng Huang
Towards Transferable Adversarial Attacks with Centralized Perturbation
Shangbo Wu, Yu-an Tan, Yajie Wang et al.
Towards Trustworthy Deep Learning
Tsui-Wei (Lily) Weng
Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation
Zhao Xie, Yadong Shi, Kewei Wu et al.
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
Mengjie Wu, Jingui Ma, Run Wang et al.
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller et al.