Papers
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov et al.
MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions
Felix Fent, Fabian Kuttenreich, Florian Ruch et al.
Many-Shot In-Context Learning
Rishabh Agarwal, Avi Singh, Lei Zhang et al.
Many-shot Jailbreaking
Cem Anil, Esin Durmus, Nina Panickssery et al.
Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets
Cherie Ho, Jiaye Zou, Omar Alama et al.
Marginal Causal Flows for Validation and Inference
Daniel de Vassimon Manela, Laura Battaglia, Robin J. Evans
Markov Equivalence and Consistency in Differentiable Structure Learning
Chang Deng, Kevin Bello, Pradeep Ravikumar et al.
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
Alberto Cabezas, Louis Sharrock, Christopher Nemeth
MARPLE: A Benchmark for Long-Horizon Inference
Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken et al.
Marrying Causal Representation Learning with Dynamical Systems for Science
Dingling Yao, Caroline Muller, Francesco Locatello
Mars: Situated Inductive Reasoning in an Open-World Environment
Xiaojuan Tang, Jiaqi Li, Yitao Liang et al.
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
Yifan Jiang, Jiarui Zhang, Kexuan Sun et al.
Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages
Andy Yang, David Chiang, Dana Angluin
Masked Pre-training Enables Universal Zero-shot Denoiser
Xiaoxiao Ma, Zhixiang Wei, Yi Jin et al.
MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
Haotian Qian, YD Chen, Shengtao Lou et al.
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
Gongfan Fang, Hongxu Yin, Saurav Muralidharan et al.
MassSpecGym: A benchmark for the discovery and identification of molecules
Roman Bushuiev, Anton Bushuiev, Niek F. de Jonge et al.
Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient Descent
Yiwen Kou, Zixiang Chen, Quanquan Gu et al.
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
Zichun Yu, Spandan Das, Chenyan Xiong
MatFormer: Nested Transformer for Elastic Inference
Devvrit, Sneha Kudugunta, Aditya Kusupati et al.
MathPile: A Billion-Token-Scale Pretraining Corpus for Math
Zengzhi Wang, Xuefeng Li, Rui Xia et al.
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
Yihan Zhang, Marco Mondelli
MatrixNet: Learning over symmetry groups using learned group representations
Lucas Laird, Circe Hsu, Asilata Bapat et al.
Matryoshka Query Transformer for Large Vision-Language Models
Wenbo Hu, Zi-Yi Dou, Liunian Harold Li et al.
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model
Chaoya Jiang, Hongrui Jia, Haiyang Xu et al.