Papers
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
Jun-Yan He, Zhi-Qi Cheng, Chenyang Li et al.
Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract)
Jialu Bao, Nitesh Trivedi, Drashti Pathak et al.
Data-Driven Revision of Conditional Norms in Multi-Agent Systems (Extended Abstract)
Davide Dell'Anna, Natasha Alechina, Fabiano Dalpiaz et al.
Data-Informed Knowledge and Strategies (Extended Abstract)
Junli Jiang, Pavel Naumov
Data Level Lottery Ticket Hypothesis for Vision Transformers
Xuan Shen, Zhenglun Kong, Minghai Qin et al.
Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning
Kiarash Kazari, Ezzeldin Shereen, Gyorgy Dan
Decoding the Underlying Meaning of Multimodal Hateful Memes
Ming Shan Hee, Wen-Haw Chong, Roy Ka-Wei Lee
Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation
Chuanghao Ding, Jianrong Zhang, Henghui Ding et al.
Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow
Xiaolin Zheng, Mengpu Liu, Mengying Zhu
Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning
Zeyang Liu, Lipeng Wan, Xue Sui et al.
Deep Multi-view Subspace Clustering with Anchor Graph
Chenhang Cui, Yazhou Ren, Jingyu Pu et al.
Deep Partial Multi-Label Learning with Graph Disambiguation
Haobo Wang, Shisong Yang, Gengyu Lyu et al.
DeepPSL: End-to-End Perception and Reasoning
Sridhar Dasaratha, Sai Akhil Puranam, Karmvir Singh Phogat et al.
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
Alessandro Daniele, Tommaso Campari, Sagar Malhotra et al.
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction
Pengcheng Lei, Faming Fang, Guixu Zhang et al.
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards
Shanchuan Wan, Yujin Tang, Yingtao Tian et al.
Delegated Online Search
Pirmin Braun, Niklas Hahn, Martin Hoefer et al.
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series
Chaoqun Wang, Yijun Li, Xiangqian Sun et al.
Deliberation and Voting in Approval-Based Multi-Winner Elections
Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson
Deliberation as Evidence Disclosure: A Tale of Two Protocol Types
Julian Chingoma, Adrian Haret
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning
Hangtao Zhang, Zeming Yao, Leo Yu Zhang et al.
Denoised Self-Augmented Learning for Social Recommendation
Tianle Wang, Lianghao Xia, Chao Huang
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
Yike Yuan, Xinghe Fu, Yunlong Yu et al.
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback
Junfan Lin, Yuying Zhu, Lingbo Liu et al.
Depth-Relative Self Attention for Monocular Depth Estimation
Kyuhong Shim, Jiyoung Kim, Gusang Lee et al.