Papers
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 Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation
Hengrui Zhang, Youfang Lin, Shuo Shen 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
Yuhan Zhang, Xiaode Liu, Yuanpei Chen et al.
Enhancing Robotics with Cognitive Capabilities
Joseph Fatoye
Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling
Jiujun He, Bin Liu, Guosheng Yin
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
Lin Ni, Sijie Wang, Zeyu Zhang et al.
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 Transcription Factor Prediction through Multi-Task Learning (Student Abstract)
Liyuan Gao, Matthew Zhang, Victor S. Sheng
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 M. de Melo et al.
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yiheng Lu, Ziyu Guan, Yaming Yang et al.
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees
Luca Marzari, Davide Corsi, Enrico Marchesini 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.
Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract)
Guihong Wan, Wei Mao, Yevgeniy R. Semenov et al.
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation
Qiuzhen Lin, Yangfan Chen, Lijia Ma et al.
ESG Accountability Made Easy: DocQA at Your Service
Lokesh Mishra, Cesar Berrospi, Kasper Dinkla et al.
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
Chenglong Wang, Hang Zhou, Yimin Hu et al.