Papers
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.
Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information
Ruyuan Wan, Jaehyung Kim, Dongyeop Kang
Evidential Conditional Neural Processes
Deep Shankar Pandey, Qi Yu
Experimental Observations of the Topology of Convolutional Neural Network Activations
Emilie Purvine, Davis Brown, Brett Jefferson et al.
Expert Data Augmentation in Imitation Learning (Student Abstract)
Fuguang Han, Zongzhang Zhang
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)
Daking Rai, Yilun Zhou, Bailin Wang et al.
Explaining Model Confidence Using Counterfactuals
Thao Le, Tim Miller, Ronal Singh et al.
Explaining Random Forests Using Bipolar Argumentation and Markov Networks
Nico Potyka, Xiang Yin, Francesca Toni
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues
Shivani Kumar, Ishani Mondal, Md Shad Akhtar et al.