Papers
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks
Shijie Liu, Andrew C. Cullen, Paul Montague et al.
Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness
Yi Cai, Xuefei Ning, Huazhong Yang et al.
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
Mingyang Chen, Wen Zhang, Zhen Yao et al.
Entropy Regularization for Population Estimation
Ben Chugg, Peter Henderson, Jacob Goldin et al.
Epistemic Disjunctive Datalog for Querying Knowledge Bases
Gianluca Cima, Marco Console, Maurizio Lenzerini et al.
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy et al.
Equity Promotion in Public Transportation
Anik Pramanik, Pan Xu, Yifan Xu
Equivariant Message Passing Neural Network for Crystal Material Discovery
Astrid Klipfel, Zied Bouraoui, Olivier Peltre et al.
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation
Guang Yang, Juan Cao, Danding Wang et al.
Erratum to: 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
Zutao Jiang, Guansong Lu, Xiaodan Liang et al.
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
Jiangrong Shen, Qi Xu, Jian K. Liu et al.
ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract)
Yifei Sun, Cheng Song, Feng Lu et al.
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong, Xiongbo Lu, Zhaoyang Sun et al.
Estimating Average Causal Effects from Patient Trajectories
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk et al.
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks
Serina Chang, Damir Vrabac, Jure Leskovec et al.
Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
Yeying Jin, Ruoteng Li, Wenhan Yang et al.
Estimating Regression Predictive Distributions with Sample Networks
Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan et al.
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
Defu Cao, James Enouen, Yujing Wang et al.
Evaluating and Improving Interactions with Hazy Oracles
Stephan J. Lemmer, Jason J. Corso
Evaluating Digital Agriculture Recommendations with Causal Inference
Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou et al.
Evaluating Epistemic Logic Programs via Answer Set Programming with Quantifiers
Wolfgang Faber, Michael Morak
Evaluating Factors Influencing COVID-19 Outcomes across Countries Using Decision Trees (Student Abstract)
Aniruddha Pokhrel, Nikesh Subedi, Saurav Keshari Aryal
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks
Linrui Zhang, Qin Zhang, Li Shen et al.
Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract)
Kevin Li, Rahul Duggal, Duen Horng Chau
Event Process Typing via Hierarchical Optimal Transport
Bo Zhou, Yubo Chen, Kang Liu et al.