Papers
Towards Building a Language-Independent Speech Scoring Assessment
Shreyansh Gupta, Abhishek Unnam, Kuldeep Yadav et al.
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
Yaohua Zha, Huizhen Ji, Jinmin Li et al.
Towards Continual Knowledge Graph Embedding via Incremental Distillation
Jiajun Liu, Wenjun Ke, Peng Wang et al.
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
Depeng Li, Tianqi Wang, Junwei Chen et al.
Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model
Zhenyu Xie, Yang Wu, Xuehao Gao et al.
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
Jihyeon Seong, Jungmin Kim, Jaesik Choi
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
Binwu Wang, Pengkun Wang, Yudong Zhang et al.
Towards Effective and General Graph Unlearning via Mutual Evolution
Xunkai Li, Yulin Zhao, Zhengyu Wu et al.
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning
Kaibin Tian, Yanhua Cheng, Yi Liu et al.
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.