Papers
11,015 papers found
Deep Network Classification by Scattering and Homotopy Dictionary Learning
John Zarka, Louis Thiry, Tomas Angles et al.
Deep neuroethology of a virtual rodent
Josh Merel, Diego Aldarondo, Jesse Marshall et al.
Deep Orientation Uncertainty Learning based on a Bingham Loss
Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting et al.
Deep probabilistic subsampling for task-adaptive compressed sensing
Iris A.M. Huijben, Bastiaan S. Veeling, Ruud J.G. van Sloun
Deep Semi-Supervised Anomaly Detection
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz et al.
DeepSphere: a graph-based spherical CNN
Michaël Defferrard, Martino Milani, Frédérick Gusset et al.
Deep Symbolic Superoptimization Without Human Knowledge
Hui Shi, Yang Zhang, Xinyun Chen et al.
DeepV2D: Video to Depth with Differentiable Structure from Motion
Zachary Teed, Jia Deng
Defending Against Physically Realizable Attacks on Image Classification
Tong Wu, Liang Tong, Yevgeniy Vorobeychik
DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling
Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari et al.
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao, Xizhou Zhu, Stephen Lin et al.
Demystifying Inter-Class Disentanglement
Aviv Gabbay, Yedid Hoshen
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators
Reinhard Heckel and Mahdi Soltanolkotabi
Depth-Adaptive Transformer
Maha Elbayad, Jiatao Gu, Edouard Grave et al.
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem
Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas et al.
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
Yao Qin, Nicholas Frosst, Sara Sabour et al.
Detecting Extrapolation with Local Ensembles
David Madras, James Atwood, Alexander D'Amour
Difference-Seeking Generative Adversarial Network--Unseen Sample Generation
Yi Lin Sung, Sung-Hsien Hsieh, Soo-Chang Pei et al.
Differentiable learning of numerical rules in knowledge graphs
Po-Wei Wang, Daria Stepanova, Csaba Domokos et al.
Differentiable Reasoning over a Virtual Knowledge Base
Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran et al.
Differentially Private Meta-Learning
Jeffrey Li, Mikhail Khodak, Sebastian Caldas et al.
Differentiation of Blackbox Combinatorial Solvers
Marin Vlastelica Pogančić, Anselm Paulus, Vit Musil et al.
DiffTaichi: Differentiable Programming for Physical Simulation
Yuanming Hu, Luke Anderson, Tzu-Mao Li et al.
Directional Message Passing for Molecular Graphs
Johannes Gasteiger, Janek Groß, Stephan Günnemann
Disagreement-Regularized Imitation Learning
Kiante Brantley, Wen Sun, Mikael Henaff