Papers
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
Seunghwan An, Jong-June Jeon
Distributionally Robust Bayesian Optimization with $\varphi$-divergences
Hisham Husain, Vu Nguyen, Anton van den Hengel
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training
Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao et al.
Distributionally Robust Linear Quadratic Control
Bahar Taskesen, Dan Iancu, Çağıl Koçyiğit et al.
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
Yeshu Li, Brian Ziebart
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning
Tyler Kastner, Murat A Erdogdu, Amir-massoud Farahmand
Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
Xin-Qiang Cai, Pushi Zhang, Li Zhao et al.
Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning
Riccardo Zamboni, Alberto Maria Metelli, Marcello Restelli
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
Shang Liu, Zhongze Cai, Xiaocheng Li
Distribution-Free Statistical Dispersion Control for Societal Applications
Zhun Deng, Thomas Zollo, Jake Snell et al.
Distribution Learnability and Robustness
Shai Ben-David, Alex Bie, Gautam Kamath et al.
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Shentong Mo, Enze Xie, Ruihang Chu et al.
Diverse Community Data for Benchmarking Data Privacy Algorithms
Aniruddha Sen, Christine Task, Dhruv Kapur et al.
Diverse Conventions for Human-AI Collaboration
Bidipta Sarkar, Andy Shih, Dorsa Sadigh
Diverse Shape Completion via Style Modulated Generative Adversarial Networks
Wesley Khademi, Fuxin Li
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Jianing Zhu, Yu Geng, Jiangchao Yao et al.
Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
Daesol Cho, Seungjae Lee, H. Jin Kim
Diversifying Spatial-Temporal Perception for Video Domain Generalization
Kun-Yu Lin, Jia-Run Du, Yipeng Gao et al.
Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation
Lisa Dunlap, Alyssa Umino, Han Zhang et al.
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback
Jaskirat Singh, Liang Zheng
DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization
Aditya Vora, Akshay Gadi Patil, Hao Zhang
Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
Guangyu Shen, Siyuan Cheng, Guanhong Tao et al.
Does a sparse ReLU network training problem always admit an optimum ?
TUNG LE, Remi Gribonval, Elisa Riccietti
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework
Weiduo Liao, Ying Wei, Mingchen Jiang et al.
Does Graph Distillation See Like Vision Dataset Counterpart?
Beining Yang, Kai Wang, Qingyun Sun et al.