Papers
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery
Yanyi Li, Xi Zhang, Yisi Luo et al.
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
Chen Tang, Ben Abbatematteo, Jiaheng Hu et al.
Deep Reinforcement Learning with Time-Scale Invariant Memory
Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
Tony Gracious, Ambedkar Dukkipati
DeepSN: A Sheaf Neural Framework for Influence Maximization
Asela Hevapathige, Qing Wang, Ahad N. Zehmakan
Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document
Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas et al.
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation
Jisoo Kim, Jungbin Cho, Joonho Park et al.
Deep-Union Completion
Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcón
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization
Yue Zhang, Liqiang Jing, Vibhav Gogate
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
Yujing Wang, Hainan Zhang, Sijia Wen et al.
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
Jian-Ping Mei, Weibin Zhang, Jie Chen et al.
Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network
Xinran Wang, Guang Yang, Tian Ye et al.
Delay as Payoff in MAB
Ofir Schlisselberg, Ido Cohen, Tal Lancewicki et al.
DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment
Haitao Li, Qingyao Ai, Xinyan Han et al.
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification
Yuhao Wang, Yang Liu, Aihua Zheng et al.
DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning
Yifan Lu, Jiajun Le, Zizhuo Li et al.
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
Qihua Zhou, Ruibin Li, Jingcai Guo et al.
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov
Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration
Ziheng Zhou, Jinxing Zhou, Wei Qian et al.
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation
Jiaqi Huang, Zunnan Xu, Ting Liu et al.
Densest k-Subgraph Mining via a Provably Tight Relaxation
Qiheng Lu, Nicholas D Sidiropoulos, Aritra Konar
DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment
Zijian Wu, Leijing Zhou, Shuanglin Li et al.
Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video
Junkai Fan, Kun Wang, Zhiqiang Yan et al.
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching
Ming Gui, Johannes Schusterbauer, Ulrich Prestel et al.