Papers
11,951 papers found
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
Wenhao Li, Xiangfeng Wang, Bo Jin et al.
Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions
Shaogao Lv, Heng Lian
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
Prashant Khanduri, Haibo Yang, Mingyi Hong et al.
Declarative nets that are equilibrium models
Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin et al.
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Nate Gruver, Marc Anton Finzi, Samuel Don Stanton et al.
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang, Baixu Chen, Jianmin Wang et al.
Deep Attentive Variational Inference
Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld et al.
Deep AutoAugment
Yu Zheng, Zhi Zhang, Shen Yan et al.
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Shiwei Liu, Tianlong Chen, Zahra Atashgahi et al.
Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers
Guodong Zhang, Aleksandar Botev, James Martens
Deep Point Cloud Reconstruction
Jaesung Choe, ByeongIn Joung, Francois Rameau et al.
Deep ReLU Networks Preserve Expected Length
Boris Hanin, Ryan Jeong, David Rolnick
Defending Against Image Corruptions Through Adversarial Augmentations
Dan Andrei Calian, Florian Stimberg, Olivia Wiles et al.
DEGREE: Decomposition Based Explanation for Graph Neural Networks
Qizhang Feng, Ninghao Liu, Fan Yang et al.
Delaunay Component Analysis for Evaluation of Data Representations
Petra Poklukar, Vladislav Polianskii, Anastasiia Varava et al.
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
Geon-Hyeong Kim, Seokin Seo, Jongmin Lee et al.
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
Tolga Ergen, Arda Sahiner, Batu Ozturkler et al.
Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems
Hadi Abdullah, Aditya Karlekar, Vincent Bindschaedler et al.
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng et al.
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
Wei Fan, Shun Zheng, Xiaohan Yi et al.
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
Minghao Han, Jacob Euler-Rolle, Robert K. Katzschmann
Detecting Ephemeral Optical Events with OpTel
Congcong Miao, Minggang Chen, Arpit Gupta et al.
DictFormer: Tiny Transformer with Shared Dictionary
Qian Lou, Ting Hua, Yen-Chang Hsu et al.
Differentiable DAG Sampling
Bertrand Charpentier, Simon Kibler, Stephan Günnemann