Papers
MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of Correlation
Tangyu Jiang, Haodi Wang, Rongfang Bie
MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery
Sanja Scepanovic, Ivica Obadic, Sagar Joglekar et al.
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
Zhongwei Wan, Che Liu, Mi Zhang et al.
Meek Separators and Their Applications in Targeted Causal Discovery
Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
Meet in the Middle: A New Pre-training Paradigm
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
LILI YU, Daniel Simig, Colin Flaherty et al.
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy
Honghua Dong, Jiawei Xu, Yu Yang et al.
Memory-Constrained Algorithms for Convex Optimization
Moise Blanchard, Junhui Zhang, Patrick Jaillet
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim et al.
Memory Efficient Optimizers with 4-bit States
Bingrui Li, Jianfei Chen, Jun Zhu
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
Junho Song, Keonwoo Kim, Jeonglyul Oh et al.
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls et al.
Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning
Siyuan Sun, Hongyang Gao
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
cheng cheng, Lin Song, Ruoyi Xue et al.
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
Zeyuan Ma, Hongshu Guo, Jiacheng Chen et al.
Meta-in-context learning in large language models
Julian Coda-Forno, Marcel Binz, Zeynep Akata et al.
Meta-Learning Adversarial Bandit Algorithms
Misha Khodak, Ilya Osadchiy, Keegan Harris et al.
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
Basile Confavreux, Poornima Ramesh, Pedro J Goncalves et al.
Meta-Learning with Neural Bandit Scheduler
Yunzhe Qi, Yikun Ban, Tianxin Wei et al.
Metis: Understanding and Enhancing In-Network Regular Expressions
Zhengxin Zhang, Yucheng Huang, Guanglin Duan et al.
Metropolis Sampling for Constrained Diffusion Models
Nic Fishman, Leo Klarner, Emile Mathieu et al.
MGDD: A Meta Generator for Fast Dataset Distillation
Songhua Liu, Xinchao Wang
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers
Yu Zhang, Yepeng Liu, Duoqian Miao et al.
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
Zibo Zhao, Wen Liu, Xin Chen et al.
MiliPoint: A Point Cloud Dataset for mmWave Radar
Han Cui, Shu Zhong, Jiacheng Wu et al.