Papers
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
Ali Hashemi, Yijing Gao, Chang Cai et al.
Efficient Learning of Discrete-Continuous Computation Graphs
David Friede, Mathias Niepert
Efficiently Identifying Task Groupings for Multi-Task Learning
Chris Fifty, Ehsan Amid, Zhe Zhao et al.
Efficiently Learning One Hidden Layer ReLU Networks From Queries
Sitan Chen, Adam Klivans, Raghu Meka
Efficient methods for Gaussian Markov random fields under sparse linear constraints
David Bolin, Jonas Wallin
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems
Feihu Huang, Xidong Wu, Heng Huang
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou, Weizhong Zhang, Zonghao Chen et al.
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta, Zachary Lipton, David Childers
Efficient Statistical Assessment of Neural Network Corruption Robustness
Karim TIT, Teddy Furon, Mathias ROUSSET
Efficient Training of Retrieval Models using Negative Cache
Erik Lindgren, Sashank Reddi, Ruiqi Guo et al.
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu, Enver Sangineto, Wei Bi et al.
Efficient Truncated Linear Regression with Unknown Noise Variance
Constantinos Daskalakis, Patroklos Stefanou, Rui Yao et al.
EIGNN: Efficient Infinite-Depth Graph Neural Networks
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi et al.
ELLA: Exploration through Learned Language Abstraction
Suvir Mirchandani, Siddharth Karamcheti, Dorsa Sadigh
Embedding Principle of Loss Landscape of Deep Neural Networks
Yaoyu Zhang, Zhongwang Zhang, Tao Luo et al.
Emergent Communication of Generalizations
Jesse Mu, Noah Goodman
Emergent Communication under Varying Sizes and Connectivities
Jooyeon Kim, Alice Oh
Emergent Discrete Communication in Semantic Spaces
Mycal Tucker, Huao Li, Siddharth Agrawal et al.
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
Pranav Subramani, Nicholas Vadivelu, Gautam Kamath
Encoding Robustness to Image Style via Adversarial Feature Perturbations
Manli Shu, Zuxuan Wu, Micah Goldblum et al.
Encoding Spatial Distribution of Convolutional Features for Texture Representation
Yong Xu, Feng Li, Zhile Chen et al.
End-to-end Multi-modal Video Temporal Grounding
Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang
End-to-end reconstruction meets data-driven regularization for inverse problems
Subhadip Mukherjee, Marcello Carioni, Ozan Öktem et al.
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh, Siva Reddy, Will Hamilton et al.
End-to-End Weak Supervision
Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski