Papers
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Huanrui Yang, Jingyang Zhang, Hongliang Dong et al.
DynaBERT: Dynamic BERT with Adaptive Width and Depth
Lu Hou, Zhiqi Huang, Lifeng Shang et al.
Dynamic allocation of limited memory resources in reinforcement learning
Nisheet Patel, Luigi Acerbi, Alexandre Pouget
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification
Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani et al.
Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains
Ervine Zheng, Qi Yu, Rui Li et al.
Dynamic Regret of Convex and Smooth Functions
Peng Zhao, Yu-Jie Zhang, Lijun Zhang et al.
Dynamic Regret of Policy Optimization in Non-Stationary Environments
Yingjie Fei, Zhuoran Yang, Zhaoran Wang et al.
Dynamic Submodular Maximization
Morteza Monemizadeh
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu, Jonathan Niles-Weed, Narges Razavian et al.
EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints
Sachin Chauhan, Kashish Bansal, Rijurekha Sen
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization
Jonathan Lacotte, Mert Pilanci
Effective Diversity in Population Based Reinforcement Learning
Jack Parker-Holder, Aldo Pacchiano, Krzysztof M Choromanski et al.
Efficient active learning of sparse halfspaces with arbitrary bounded noise
Chicheng Zhang, Jie Shen, Pranjal Awasthi
Efficient Algorithms for Device Placement of DNN Graph Operators
Jakub M Tarnawski, Amar Phanishayee, Nikhil Devanur et al.
Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut
Shenfei Pei, Feiping Nie, Rong Wang et al.
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Kaizheng Wang, Yuling Yan, Mateo Diaz
Efficient Contextual Bandits with Continuous Actions
Maryam Majzoubi, Chicheng Zhang, Rajan Chari et al.
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S Meel et al.
Efficient estimation of neural tuning during naturalistic behavior
Edoardo Balzani, Kaushik Lakshminarasimhan, Dora Angelaki et al.
Efficient Exact Verification of Binarized Neural Networks
Kai Jia, Martin Rinard
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low et al.
Efficient Generation of Structured Objects with Constrained Adversarial Networks
Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi et al.
Efficient Learning of Discrete Graphical Models
Marc Vuffray, Sidhant Misra, Andrey Lokhov
Efficient Learning of Generative Models via Finite-Difference Score Matching
Tianyu Pang, Kun Xu, Chongxuan LI et al.
Efficient Low Rank Gaussian Variational Inference for Neural Networks
Marcin Tomczak, Siddharth Swaroop, Richard Turner