Papers
11,015 papers found
Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation
Lin Zhang, Shaohuai Shi, Bo Li
EVC: Towards Real-Time Neural Image Compression with Mask Decay
Wang Guo-Hua, Jiahao Li, Bin Li et al.
Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
Xudong Han, Timothy Baldwin, Trevor Cohn
Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation
Shuzhou Sun, Shuaifeng Zhi, Janne Heikkilä et al.
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
Zhong Yi Wan, Leonardo Zepeda-Nunez, Anudhyan Boral et al.
Evolving Populations of Diverse RL Agents with MAP-Elites
Thomas PIERROT, Arthur Flajolet
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
Shunta Akiyama, Taiji Suzuki
Explaining RL Decisions with Trajectories
Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy et al.
Explaining Temporal Graph Models through an Explorer-Navigator Framework
Wenwen Xia, Mincai Lai, Caihua Shan et al.
Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
Jie Yang, Ailing Zeng, Shilong Liu et al.
Explicitly Minimizing the Blur Error of Variational Autoencoders
Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya et al.
Exploring Active 3D Object Detection from a Generalization Perspective
Yadan Luo, Zhuoxiao Chen, Zijian Wang et al.
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
Yuancheng Xu, Yanchao Sun, Micah Goldblum et al.
Exploring perceptual straightness in learned visual representations
Anne Harrington, Vasha DuTell, Ayush Tewari et al.
Exploring Temporally Dynamic Data Augmentation for Video Recognition
Taeoh Kim, Jinhyung Kim, Minho Shim et al.
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Jiyan He, Xuechen Li, Da Yu et al.
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders
Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim et al.
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms
Xiaotong Yuan, Ping Li
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
Aleksandar Pavlović, Emanuel Sallinger
Expressive Monotonic Neural Networks
Niklas Nolte, Ouail Kitouni, Mike Williams
Extracting Robust Models with Uncertain Examples
Guanlin Li, Guowen Xu, Shangwei Guo et al.
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok et al.
Extreme Q-Learning: MaxEnt RL without Entropy
Divyansh Garg, Joey Hejna, Matthieu Geist et al.
Factorized Fourier Neural Operators
Alasdair Tran, Alexander Mathews, Lexing Xie et al.