Papers
11,951 papers found
Deep Multimodal Fusion by Channel Exchanging
Yikai Wang, Wenbing Huang, Fuchun Sun et al.
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 Semantic Compliance Advisor for Unstructured Document Compliance Checking
Honglei Guo, Bang An, Zhili Guo et al.
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
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract)
Kuniyuki Takahashi, Jethro Tan
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.