Papers
11,951 papers found
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao, Yiren Zhao, Łukasz Dudziak et al.
Dynamic Sparse Graph for Efficient Deep Learning
Liu Liu, Lei Deng, Xing Hu et al.
DyRep: Learning Representations over Dynamic Graphs
Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal et al.
Efficient Augmentation via Data Subsampling
Michael Kuchnik, Virginia Smith
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry, Marc’Aurelio Ranzato, Marcus Rohrbach et al.
Efficiently testing local optimality and escaping saddles for ReLU networks
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
Efficient Training on Very Large Corpora via Gramian Estimation
Walid Krichene, Nicolas Mayoraz, Steffen Rendle et al.
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
Yunbo Wang, Lu Jiang, Ming-Hsuan Yang et al.
Emergent Coordination Through Competition
Siqi Liu, Guy Lever, Josh Merel et al.
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
Ori Press, Tomer Galanti, Sagie Benaim et al.
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
Curtis Hawthorne, Andriy Stasyuk, Adam Roberts et al.
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
Haichuan Yang, Yuhao Zhu, Ji Liu
Environment Probing Interaction Policies
Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta
Episodic Curiosity through Reachability
Nikolay Savinov, Anton Raichuk, Damien Vincent et al.
Equi-normalization of Neural Networks
Pierre Stock, Benjamin Graham, Rémi Gribonval et al.
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Vincent Tjeng, Kai Y. Xiao, Russ Tedrake
Excessive Invariance Causes Adversarial Vulnerability
Joern-Henrik Jacobsen, Jens Behrmann, Richard Zemel et al.
Execution-Guided Neural Program Synthesis
Xinyun Chen, Chang Liu, Dawn Song
Explaining Image Classifiers by Counterfactual Generation
Chun-Hao Chang, Elliot Creager, Anna Goldenberg et al.
Exploration by random network distillation
Yuri Burda, Harrison Edwards, Amos Storkey et al.
Feature Intertwiner for Object Detection
Hongyang Li, Bo Dai, Shaoshuai Shi et al.
Feature-Wise Bias Amplification
Klas Leino, Emily Black, Matt Fredrikson et al.
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers
Alexander Shekhovtsov, Boris Flach