Papers
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
Sungmin Cha, Sungjun Cho, Dasol Hwang et al.
Learning Ultrametric Trees for Optimal Transport Regression
Samantha Chen, Puoya Tabaghi, Yusu Wang
Learning Uncertainty-Aware Temporally-Extended Actions
Joongkyu Lee, Seung Joon Park, Yunhao Tang et al.
Learning Visual Abstract Reasoning through Dual-Stream Networks
Kai Zhao, Chang Xu, Bailu Si
Learning with Noisy Labels Using Hyperspherical Margin Weighting
Shuo Zhang, Yuwen Li, Zhongyu Wang et al.
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation
Aram Davtyan, Paolo Favaro
Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning
Alexey Skrynnik, Anton Andreychuk, Maria Nesterova et al.
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize
Sanket Shah, Bryan Wilder, Andrew Perrault et al.
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation
Zhengqin Xu, Yulun Zhang, Chao Ma et al.
LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition
Adilson Medronha, Luís Lima, Janaína Claudio et al.
Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation
Zhiyi Pan, Nan Zhang, Wei Gao et al.
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval
Zhe Ma, Jianfeng Dong, Shouling Ji et al.
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos
Ji-Hoon Kim, Jaehun Kim, Joon Son Chung
Levenshtein Distance Embedding with Poisson Regression for DNA Storage
Xiang Wei, Alan J.X. Guo, Sihan Sun et al.
Leverage the Explainability of Transformer Models to Improve the DNA 5-Methylcytosine Identification (Student Abstract)
Wenhuan Zeng, Daniel H. Huson
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision
Nicholas Lui, Bryan Chia, William Berrios et al.
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
Hongzhi Gao, Zheng Chen, Zehui Chen et al.
Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning
Zeping Min, Jinfeng Bai, Chengfei Li
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
YongJin Yang, Taehyeon Kim, Se-Young Yun
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
Yuying Zhao, Yu Wang, Yi Zhang et al.
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Xin Yu, Rongye Shi, Pu Feng et al.
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
Youbing Hu, Yun Cheng, Anqi Lu et al.
LGMRec: Local and Global Graph Learning for Multimodal Recommendation
Zhiqiang Guo, Jianjun Li, Guohui Li et al.
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
Han Liu, Siyang Zhao, Xiaotong Zhang et al.
Lifting by Image – Leveraging Image Cues for Accurate 3D Human Pose Estimation
Feng Zhou, Jianqin Yin, Peiyang Li