Papers
Discovering symbolic policies with deep reinforcement learning
Mikel Landajuela, Brenden K Petersen, Sookyung Kim et al.
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
Changhun Jo, Kangwook Lee
Discretization Drift in Two-Player Games
Mihaela C Rosca, Yan Wu, Benoit Dherin et al.
Discriminative Complementary-Label Learning with Weighted Loss
Yi Gao, Min-Ling Zhang
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
Ankit Singh Rawat, Aditya K Menon, Wittawat Jitkrittum et al.
Disentangling syntax and semantics in the brain with deep networks
Charlotte Caucheteux, Alexandre Gramfort, Jean-Remi King
Dissecting Supervised Contrastive Learning
Florian Graf, Christoph Hofer, Marc Niethammer et al.
Distributed Nyström Kernel Learning with Communications
Rong Yin, Weiping Wang, Dan Meng
Distributed Second Order Methods with Fast Rates and Compressed Communication
Rustem Islamov, Xun Qian, Peter Richtarik
Distributionally Robust Optimization with Markovian Data
Mengmeng Li, Tobias Sutter, Daniel Kuhn
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting
Chirag Gupta, Aaditya Ramdas
Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li, Shengyuan Hu, Ahmad Beirami et al.
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
Seungyul Han, Youngchul Sung
Domain Generalization using Causal Matching
Divyat Mahajan, Shruti Tople, Amit Sharma
Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
Yu Bai, Song Mei, Huan Wang et al.
DORO: Distributional and Outlier Robust Optimization
Runtian Zhai, Chen Dan, Zico Kolter et al.
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
Yonggan Fu, Qixuan Yu, Meng Li et al.
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
Tengyu Xu, Zhuoran Yang, Zhaoran Wang et al.
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha, Jingru Xie, Wenye Ma et al.
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
Shiwei Liu, Lu Yin, Decebal Constantin Mocanu et al.
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift
Ashraf Tahmasbi, Ellango Jothimurugesan, Srikanta Tirthapura et al.
Dropout: Explicit Forms and Capacity Control
Raman Arora, Peter Bartlett, Poorya Mianjy et al.
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach
Tianyu Ding, Zhihui Zhu, Rene Vidal et al.
Dueling Convex Optimization
Aadirupa Saha, Tomer Koren, Yishay Mansour
Dynamic Balancing for Model Selection in Bandits and RL
Ashok Cutkosky, Christoph Dann, Abhimanyu Das et al.