Papers
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
Jagdeep Bhatia, Holly Jackson, Yunsheng Tian et al.
Exact marginal prior distributions of finite Bayesian neural networks
Jacob Zavatone-Veth, Cengiz Pehlevan
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
Jeremy Seeman, Matthew Reimherr, Aleksandra Slavković
Excess Capacity and Backdoor Poisoning
Naren Manoj, Avrim Blum
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
Yizhen Zhang, Minkyu Choi, Kuan Han et al.
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
Aran Nayebi, Alexander Attinger, Malcolm Campbell et al.
Explaining Hyperparameter Optimization via Partial Dependence Plots
Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio et al.
Explaining Latent Representations with a Corpus of Examples
Jonathan Crabbe, Zhaozhi Qian, Fergus Imrie et al.
Explanation-based Data Augmentation for Image Classification
Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee
Explicable Reward Design for Reinforcement Learning Agents
Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban et al.
Explicit loss asymptotics in the gradient descent training of neural networks
Maksim Velikanov, Dmitry Yarotsky
Exploiting a Zoo of Checkpoints for Unseen Tasks
Jiaji Huang, Qiang Qiu, Kenneth W. Church
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
Huangjie Zheng, Mingyuan Zhou
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
Jinming Cui, Chaochao Chen, Lingjuan Lyu et al.
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui, Toan Tran, Anh Tran et al.
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
Qiujiang Jin, Aryan Mokhtari
Exploiting Opponents Under Utility Constraints in Sequential Games
Martino Bernasconi-de-Luca, Federico Cacciamani, Simone Fioravanti et al.
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang, yaxing wang, Joost van de Weijer et al.
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
Stefanos Leonardos, Georgios Piliouras, Kelly Spendlove
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang, Yisen Wang, Sarah Erfani et al.
Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing
Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee et al.
Exploring Forensic Dental Identification with Deep Learning
Yuan Liang, Weikun Han, Liang Qiu et al.
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
Chen Tang, Wei Zhan, Masayoshi Tomizuka
Exploring the Limits of Out-of-Distribution Detection
Stanislav Fort, Jie Ren, Balaji Lakshminarayanan
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
Yingjie Fei, Zhuoran Yang, Yudong Chen et al.