Papers
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity
Andrew Cullen, Paul Montague, Shijie Liu et al.
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination
Jiafei Lyu, Xiu Li, Zongqing Lu
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions
Tian Tian, Kenny Young, Richard S. Sutton
Doubly Robust Counterfactual Classification
Kwangho Kim, Edward Kennedy, Jose Zubizarreta
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu, Yuhao Zhou, Fan Bao et al.
DP-PCA: Statistically Optimal and Differentially Private PCA
Xiyang Liu, Weihao Kong, Prateek Jain et al.
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
Doyup Lee, Chiheon Kim, Saehoon Kim et al.
Drawing out of Distribution with Neuro-Symbolic Generative Models
Yichao Liang, Josh Tenenbaum, Tuan Anh Le et al.
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
Daochen Zha, Louis Feng, Qiaoyu Tan et al.
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Jiawei Shao, Yuchang Sun, Songze Li et al.
DropCov: A Simple yet Effective Method for Improving Deep Architectures
Qilong Wang, Mingze Gao, Zhaolin Zhang et al.
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection
Gang Li, Xiang Li, Yujie Wang et al.
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
Ximeng Sun, Ping Hu, Kate Saenko
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images
CHAO TU, YU ZHANG, Zhenyuan Ning
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
GE ZHANG, Zhenyu Yang, Jia Wu et al.
Dungeons and Data: A Large-Scale NetHack Dataset
Eric Hambro, Roberta Raileanu, Danielle Rothermel et al.
Dynamic Fair Division with Partial Information
Gerdus Benade, Daniel Halpern, Alexandros Psomas
Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift
Zeyang Zhang, Xin Wang, Ziwei Zhang et al.
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior
Zoe Ashwood, Aditi Jha, Jonathan W Pillow
Dynamic Learning in Large Matching Markets
Anand Kalvit, Assaf J. Zeevi
Dynamic pricing and assortment under a contextual MNL demand
Noemie Perivier, Vineet Goyal
Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model
Su Jia, Andrew Li, R Ravi
Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution
Antonio Orvieto, Simon Lacoste-Julien, Nicolas Loizou
Dynamic Sparse Network for Time Series Classification: Learning What to “See”
Qiao Xiao, Boqian Wu, Yu Zhang et al.
Dynamic Tensor Product Regression
Aravind Reddy, Zhao Song, Lichen Zhang