Papers
LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility (Student Abstract)
Esha Pahwa, Achleshwar Luthra, Pratik Narang
LWSIS: LiDAR-Guided Weakly Supervised Instance Segmentation for Autonomous Driving
Xiang Li, Junbo Yin, Botian Shi et al.
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
Hong Liu, Dong Wei, Donghuan Lu et al.
Machines of Finite Depth: Towards a Formalization of Neural Networks
Pietro Vertechi, Mattia G. Bergomi
Maestro: A Gamified Platform for Teaching AI Robustness
Margarita Geleta, Jiacen Xu, Manikanta Loya et al.
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
Xumeng Gong, Cheng Yang, Chuan Shi
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-robust Classifier
Mozhdeh Rouhsedaghat, Masoud Monajatipoor, C.-C. Jay Kuo et al.
MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base
Qianyu He, Xintao Wang, Jiaqing Liang et al.
MARCOL: A Maritime Collision Avoidance Decision-Making Testbed
Mingi Jeong, Alberto Quattrini Li
Markov Decision Processes with Time-Varying Geometric Discounting
Jiarui Gan, Annika Hennes, Rupak Majumdar et al.
MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation
Shida Zheng, Chenshu Chen, Xi Yang et al.
Mask-Net: Learning Context Aware Invariant Features Using Adversarial Forgetting (Student Abstract)
Hemant Yadav, Rajiv Ratn Shah
Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals
Przemysław A. Wałęga, Michał Zawidzki, Dingmin Wang et al.
Maximizing the Probability of Fixation in the Positional Voter Model
Petros Petsinis, Andreas Pavlogiannis, Panagiotis Karras
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
Rui Zhao, Jinming Song, Yufeng Yuan et al.
MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER
Shan Zhao, ChengYu Wang, Minghao Hu et al.
MDM: Molecular Diffusion Model for 3D Molecule Generation
Lei Huang, Hengtong Zhang, Tingyang Xu et al.
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach
Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas et al.
Mean-Shifted Contrastive Loss for Anomaly Detection
Tal Reiss, Yedid Hoshen
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)
Huixin Zhan, Kun Zhang, Keyi Lu et al.
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts
Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga et al.
Mediated Cheap Talk Design
Itai Arieli, Ivan Geffner, Moshe Tennenholtz
MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition
Xinjie Li, Huijuan Xu
Memorization Weights for Instance Reweighting in Adversarial Training
Jianfu Zhang, Yan Hong, Qibin Zhao