Papers
Entropy-Driven Mixed-Precision Quantization for Deep Network Design
Zhenhong Sun, Ce Ge, Junyan Wang et al.
Environment Diversification with Multi-head Neural Network for Invariant Learning
Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao et al.
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
Jiayi Weng, Min Lin, Shengyi Huang et al.
Envy-free Policy Teaching to Multiple Agents
Jiarui Gan, R Majumdar, Adish Singla et al.
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations
Ahmad Darkhalil, Dandan Shan, Bin Zhu et al.
EpiGRAF: Rethinking training of 3D GANs
Ivan Skorokhodov, Sergey Tulyakov, Yiqun Wang et al.
Equivariant Graph Hierarchy-Based Neural Networks
Jiaqi Han, Wenbing Huang, Tingyang Xu et al.
Equivariant Networks for Crystal Structures
Oumar Kaba, Siamak Ravanbakhsh
Equivariant Networks for Zero-Shot Coordination
Darius Muglich, Christian Schroeder de Witt, Elise van der Pol et al.
Error Analysis of Tensor-Train Cross Approximation
Zhen Qin, Alexander Lidiak, Zhexuan Gong et al.
Error Correction Code Transformer
Yoni Choukroun, Lior Wolf
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine
Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Kaining Zhang, Liu Liu, Min-Hsiu Hsieh et al.
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Harsh Rangwani, Sumukh K Aithal, Mayank Mishra et al.
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Lingjiao Chen, Matei Zaharia, James Y Zou
Estimating graphical models for count data with applications to single-cell gene network
Feiyi Xiao, Junjie Tang, Huaying Fang et al.
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
Shikun Li, Xiaobo Xia, Hansong Zhang et al.
Estimation of Entropy in Constant Space with Improved Sample Complexity
Maryam Aliakbarpour, Andrew McGregor, Jelani Nelson et al.
ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography
Ahmed M. Alaa, Anthony Philippakis, David Sontag
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness
Fredrik Hellström, Giuseppe Durisi
Evaluating Graph Generative Models with Contrastively Learned Features
Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts
Neeraj Wagh, Jionghao Wei, Samarth Rawal et al.
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Stefan Larson, Yi Yang Gordon Lim, Yutong Ai et al.