Papers
Efficient Learning of CNNs using Patch Based Features
Alon Brutzkus, Amir Globerson, Eran Malach et al.
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models
Valentin Durante, George Katsirelos, Thomas Schiex
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries
Daniel J Rosenkrantz, Abhijin Adiga, Madhav Marathe et al.
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Efficient Online ML API Selection for Multi-Label Classification Tasks
Lingjiao Chen, Matei Zaharia, James Zou
Efficient PAC Learning from the Crowd with Pairwise Comparisons
Shiwei Zeng, Jie Shen
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
Xuezhou Zhang, Yuda Song, Masatoshi Uehara et al.
Efficient Representation Learning via Adaptive Context Pooling
Chen Huang, Walter Talbott, Navdeep Jaitly et al.
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang et al.
Efficient Variance Reduction for Meta-learning
Hansi Yang, James Kwok
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
Taha Bahadori, Eric Tchetgen Tchetgen, David Heckerman
Entropic Causal Inference: Graph Identifiability
Spencer Compton, Kristjan Greenewald, Dmitriy A Katz et al.
Entropic Gromov-Wasserstein between Gaussian Distributions
Khang Le, Dung Q Le, Huy Nguyen et al.
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi et al.
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk, Octavian Ganea, Lagnajit Pattanaik et al.
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
Weiming Liu, Huacong Jiang, Bin Li et al.
Equivariance versus Augmentation for Spherical Images
Jan Gerken, Oscar Carlsson, Hampus Linander et al.
Equivariant Diffusion for Molecule Generation in 3D
Emiel Hoogeboom, Vı́ctor Garcia Satorras, Clément Vignac et al.
Equivariant Priors for compressed sensing with unknown orientation
Anna Kuzina, Kumar Pratik, Fabio Valerio Massoli et al.
Equivariant Quantum Graph Circuits
Peter Mernyei, Konstantinos Meichanetzidis, Ismail Ilkan Ceylan
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
Giorgia Dellaferrera, Gabriel Kreiman
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
Micah D Carroll, Anca Dragan, Stuart Russell et al.
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
Shuo Yang, Erkun Yang, Bo Han et al.
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Fan Bao, Chongxuan Li, Jiacheng Sun et al.
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
Ramji Venkataramanan, Kevin Kögler, Marco Mondelli