Papers
Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks
Siyu Zou, Jiji Tang, Yiyi Zhou et al.
Towards Efficient Verification of Quantized Neural Networks
Pei Huang, Haoze Wu, Yuting Yang et al.
Towards Epistemic-Doxastic Planning with Observation and Revision
Thorsten Engesser, Andreas Herzig, Elise Perrotin
Towards Equipping Transformer with the Ability of Systematic Compositionality
Chen Huang, Peixin Qin, Wenqiang Lei et al.
Towards Evidential and Class Separable Open Set Object Detection
Ruofan Wang, Rui-Wei Zhao, Xiaobo Zhang et al.
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling
Xianwei Zhuang, Xuxin Cheng, Yuexian Zou
Towards Fairer Centroids in K-means Clustering
Stanley Simoes, Deepak P, Muiris MacCarthaigh
Towards Fair Graph Federated Learning via Incentive Mechanisms
Chenglu Pan, Jiarong Xu, Yue Yu et al.
Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery
Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing
Ruisi Zhao, Mingming Li, Zheng Yang et al.
Towards Holistic, Pragmatic and Multimodal Conversational Systems
Pranava Madhyastha
Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation
Li Ren, Chen Chen, Liqiang Wang et al.
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
Ao Liu, Wenshan Li, Tao Li et al.
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization
Bo-Han Kung, Shang-Tse Chen
Towards Learning and Explaining Indirect Causal Effects in Neural Networks
Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak et al.
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