Paper Papers

EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction

Longzhong Lin, Xuewu Lin, Tianwei Lin et al.

Editing Language Model

Based Knowledge Graph Embeddings

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model

Naiyu Yin, Tian Gao, Yue Yu et al.

Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation

Hui Cui, Lihai Zhao, Fengling Li et al.

Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference

Dongyan Huo, Yudong Chen, Qiaomin Xie

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches

Yu Liu, Runzhe Wan, James McQueen et al.

Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors

Junren CHEN, Zhaoqiang Liu

Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction

Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis

Francesco Kriegel

Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution

Yutao Yuan, Chun Yuan

Efficient Constrained K-center Clustering with Background Knowledge

Longkun Guo, Chaoqi Jia, Kewen Liao et al.

Efficient Constraint Generation for Stochastic Shortest Path Problems

Johannes Schmalz, Felipe Trevizan

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation

Rongyu Zhang, Yulin Luo, Jiaming Liu et al.

Efficient Learning in Polyhedral Games via Best-Response Oracles

Darshan Chakrabarti, Gabriele Farina, Christian Kroer

Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains

Md Nasim, Yexiang Xue

Efficient Lightweight Image Denoising with Triple Attention Transformer

Yubo Zhou, Jin Lin, Fangchen Ye et al.

Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution

Kai Yin, Jie Shen

Efficient Nonparametric Tensor Decomposition for Binary and Count Data

Zerui Tao, Toshihisa Tanaka, Qibin Zhao

Efficient Online Crowdsourcing with Complex Annotations

Reshef Meir, Viet-An Nguyen, Xu Chen et al.

Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications

Poonam Goyal, Arshveer Kaur, Arvind Ram et al.

Efficient Target Propagation by Deriving Analytical Solution

Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato et al.

EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration

Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation

Naisong Luo, Rui Sun, Yuwen Pan et al.

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

Eliciting Kemeny Rankings

Anne-Marie George, Christos Dimitrakakis

Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift

Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang et al.

Embedded Feature Selection on Graph-Based Multi-View Clustering

Guangfei Li, Haizhou Yang, Quanxue Gao et al.

Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning

Bang Yang, Yong Dai, Xuxin Cheng et al.

Emergent Communication for Numerical Concepts Generalization

Enshuai Zhou, Yifan Hao, Rui Zhang et al.

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning

Jingtao Li, Xing Chen, Li Yang et al.

Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling

Rui Liu, Yifan Hu, Yi Ren et al.

Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations

Changqing Qiu, Fusheng Jin, Yining Zhang

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery

Pengwei Yan, Kaisong Song, Zhuoren Jiang et al.

Encoding Constraints as Binary Constraint Networks Satisfying BTP

End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding

Hai Wan, Pingjia Liang, Jianfeng Du et al.

End-to-End Real-Time Vanishing Point Detection with Transformer

Xin Tong, Shi Peng, Yufei Guo et al.

End-to-End Verification for Subgraph Solving

Energy-Efficient Streaming Time Series Classification with Attentive Power Iteration

Hao Huang, Tapan Shah, Scott Evans et al.

Engineering an Exact Pseudo-Boolean Model Counter

Suwei Yang, Kuldeep S Meel

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis

Dong Wei, Xiaoning Sun, Huaijiang Sun et al.

Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing

Guangming Zhu, Siyuan Wang, Tianci Wu et al.

Enhancing Bilingual Lexicon Induction via Bi-directional Translation Pair Retrieving

Ding Qiuyu, Hailong Cao, Tiejun Zhao

Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach

Haiping Ma, Changqian Wang, Hengshu Zhu et al.

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights

Jiaxuan Xu, Taiyong Li, Lei Duan

Enhancing Evolving Domain Generalization through Dynamic Latent Representations

Binghui Xie, Yongqiang Chen, Jiaqi Wang et al.

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network

Zhaoyang Wang, Dongyang Li, Mingyang Zhang et al.

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks

Yingpeng Du, Di Luo, Rui Yan et al.

Enhancing Low-Resource Relation Representations through Multi-View Decoupling

Enhancing Multi-Label Classification via Dynamic Label-Order Learning

Jiangnan Li, Yice ZHANG, Shiwei Chen et al.

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning

Pengfei Jiao, Hongqian Chen, Qing Bao et al.