AAAI Papers

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.

Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis

Yang Zou, Xingyuan Li, Zhiying Jiang et al.

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain

Xuanhua He, Tao Hu, Guoli Wang et al.

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning

Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling

Jiujun He, Bin Liu, Guosheng Yin

Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling

Vittorio Bilò, Cosimo Vinci

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms

Jianhao Ding, Zhaofei Yu, Tiejun Huang et al.

Enhancing Training of Spiking Neural Network with Stochastic Latency

Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic et al.

Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations

Yejin Jeon, Yunsu Kim, Gary Geunbae Lee

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization

Kai Wang, Haoyu Liu, Zhipeng Hu et al.

Entropic Open-Set Active Learning

Bardia Safaei, Vibashan VS, Celso de Melo et al.

Entropy Induced Pruning Framework for Convolutional Neural Networks

Yiheng Lu, Ziyu Guan, Yaming Yang et al.

Envy-Free House Allocation under Uncertain Preferences

Haris Aziz, Isaiah Iliffe, Bo Li et al.

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward

Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression

Dong Chen, Ning Liu, Yichen Zhu et al.

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

Jiwoo Son, Minsu Kim, Sanghyeok Choi et al.

ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation

Qiuzhen Lin, Yangfan Chen, Lijia Ma et al.

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation

Chenglong Wang, Hang Zhou, Yimin Hu et al.

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation

Libo Huang, Yan Zeng, Chuanguang Yang et al.

EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer

Fei Wang, Dan Guo, Kun Li et al.

Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior

Qihang Fang, Yafei Song, Keqiang Li et al.

EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE

Junyi Chen, Longteng Guo, Jia Sun et al.

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering

Pengfei Zhu, Qian Wang, Yu Wang et al.

Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis

Zhaoxin Fan, Longbin Ji, Pengxin Xu et al.

Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images

Ruohua Shi, Lingyu Duan, Tiejun Huang et al.

Evolving Parameterized Prompt Memory for Continual Learning

Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma et al.

Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology

Foivos Fioravantes, Dušan Knop, Jan Křišťan et al.

Exact ASP Counting with Compact Encodings

Mohimenul Kabir, Supratik Chakraborty, Kuldeep S Meel

Exact Inference for Continuous-Time Gaussian Process Dynamics

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche et al.

Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption

Yiding Chen, Xuezhou Zhang, Qiaomin Xie et al.