Papers
Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract)
Aarushi Gupta, Yuexing Hao, Yuting Yang et al.
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
Zihui Gu, Xingwu Sun, Fengzong Lian et al.
Direct Amortized Likelihood Ratio Estimation
Adam D. Cobb, Brian Matejek, Daniel Elenius et al.
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
Wan-Duo Kurt Ma, Avisek Lahiri, J. P. Lewis et al.
Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning
Shuning Xu, Binbin Song, Xiangyu Chen et al.
Direct May Not Be the Best: An Incremental Evolution View of Pose Generation
Yuelong Li, Tengfei Xiao, Lei Geng et al.
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie et al.
Discerning Temporal Difference Learning
Jianfei Ma
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
Danyeong Lee, Dohoon Lee, Dongmin Bang et al.
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
Gustavo Perez, Subhransu Maji, Daniel Sheldon
Discovering Agents (Abstract Reprint)
Zachary Kenton, Ramana Kumar, Sebastian Farquhar et al.
Discovering Heterogeneous Causal Effects in Relational Data
Shishir Adhikari
Discovering Sequential Patterns with Predictable Inter-event Delays
Joscha Cüppers, Paul Krieger, Jilles Vreeken
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition
Ling Ge, Chunming Hu, Guanghui Ma et al.
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching
Siddharth Tourani, Muhammad Haris Khan, Carsten Rother et al.
Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning
Gaurab Pokharel, Sanmay Das, Patrick Fowler
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
Xuanlong Yu, Gianni Franchi, Jindong Gu et al.
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
Junjie Chen, Jiahao Li, Chen Song et al.
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving
Jun Yin, Shiliang Sun, Lai Wei et al.
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
Qingyuan Cai, Xuecai Hu, Saihui Hou et al.
Disentangled Partial Label Learning
Wei-Xuan Bao, Yong Rui, Min-Ling Zhang
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)
Jinyu Hong, Ping Kuang, Qiang Gao et al.
Disguise without Disruption: Utility-Preserving Face De-identification
Zikui Cai, Zhongpai Gao, Benjamin Planche et al.
Disjoint Partial Enumeration without Blocking Clauses
Giuseppe Spallitta, Roberto Sebastiani, Armin Biere
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance
Omer Reingold, Judy Hanwen Shen, Aditi Talati