Papers
DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning
Zhuo Chen, Yufeng Huang, Jiaoyan Chen et al.
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract)
Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang et al.
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start”
Junbo Zhao, Xuefei Ning, Enshu Liu et al.
Dynamic Heterogeneous Graph Attention Neural Architecture Search
Zeyang Zhang, Ziwei Zhang, Xin Wang et al.
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation
Junsu Cho, Dongmin Hyun, Dong won Lim et al.
Dynamic Pricing with Volume Discounts in Online Settings
Marco Mussi, Gianmarco Genalti, Alessandro Nuara et al.
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting
Tony Gracious, Ambedkar Dukkipati
Dynamics of Cooperation and Conflict in Multiagent Systems
Fernando P. Santos
Dynamic Structure Pruning for Compressing CNNs
Jun-Hyung Park, Yeachan Kim, Junho Kim et al.
DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data
Xiao Li, Yin Zhu, Sichen Liu et al.
EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition
Yang Liu, Jinpeng Hu, Zhihong Chen et al.
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
Hongjun Wang, Jiyuan Chen, Tong Pan et al.
EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems
Mengli Cheng, Yue Gao, Guoqiang Liu et al.
eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract)
Muhammad Hasan Ferdous, Uzma Hasan, Md Osman Gani
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
Yixuan Liu, Suyun Zhao, Li Xiong et al.
ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud
Ruibin Wang, Xianghua Ying, Bowei Xing et al.
edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms
Roberto Daza, Aythami Morales, Ruben Tolosana et al.
Edge Structure Learning via Low Rank Residuals for Robust Image Classification
Xiang-Jun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang et al.
Editing Boolean Classifiers: A Belief Change Perspective
Nicolas Schwind, Katsumi Inoue, Pierre Marquis
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs
Alireza Ganjdanesh, Shangqian Gao, Heng Huang
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
Xianghua Zeng, Hao Peng, Angsheng Li
Effective Continual Learning for Text Classification with Lightweight Snapshots
Jue Wang, Dajie Dong, Lidan Shou et al.
Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS
Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary
Xiaokang Liu, Jianquan Li, Jingjing Mu et al.
Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract)
Dildar Ali, Ankit Kumar Bhagat, Suman Banerjee et al.