Papers
Escaping the Gravitational Pull of Softmax
Jincheng Mei, Chenjun Xiao, Bo Dai et al.
Estimating decision tree learnability with polylogarithmic sample complexity
Guy Blanc, Neha Gupta, Jane Lange et al.
Estimating Fluctuations in Neural Representations of Uncertain Environments
Sahand Farhoodi, Mark Plitt, Lisa Giocomo et al.
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks
Jingqiu Ding, Samuel Hopkins, David Steurer
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
Ioana Bica, James Jordon, Mihaela van der Schaar
Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi, Frederick Liu, Satyen Kale et al.
Estimating weighted areas under the ROC curve
Andreas Maurer, Massimiliano Pontil
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
Aude Sportisse, Claire Boyer, Julie Josse
Estimation of Skill Distribution from a Tournament
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions
Tom Yan, Christian Kroer, Alexander Peysakhovich
Evaluating Attribution for Graph Neural Networks
Benjamin Sanchez-Lengeling, Jennifer Wei, Brian Lee et al.
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization
Qi Chen, Lin Sun, Ernest Cheung et al.
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
Masha Itkina, Boris Ivanovic, Ransalu Senanayake et al.
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
Jiachen Li, Fan Yang, Masayoshi Tomizuka et al.
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
Evolving Normalization-Activation Layers
Hanxiao Liu, Andy Brock, Karen Simonyan et al.
Exact expressions for double descent and implicit regularization via surrogate random design
Michal Derezinski, Feynman T Liang, Michael W. Mahoney
Exactly Computing the Local Lipschitz Constant of ReLU Networks
Matt Jordan, Alexandros G Dimakis
Exact Recovery of Mangled Clusters with Same-Cluster Queries
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi et al.
Exchangeable Neural ODE for Set Modeling
Yang Li, Haidong Yi, Christopher Bender et al.
Exemplar Guided Active Learning
Jason S Hartford, Kevin Leyton-Brown, Hadas Raviv et al.
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
Sajad Norouzi, David J Fleet, Mohammad Norouzi
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann
Experimental design for MRI by greedy policy search
Tim Bakker, Herke van Hoof, Max Welling
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
Aaron Sonabend, Junwei Lu, Leo Anthony Celi et al.