Papers
11,955 papers found
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu, Yao Feng, Michael J. Black et al.
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj et al.
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
Namyong Park, Ryan A. Rossi, Nesreen Ahmed et al.
Meta Knowledge Condensation for Federated Learning
Ping Liu, Xin Yu, Joey Tianyi Zhou
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato
Meta-Learning in Games
Keegan Harris, Ioannis Anagnostides, Gabriele Farina et al.
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
Ivona Najdenkoska, Xiantong Zhen, Marcel Worring
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
Hayeon Lee, Sohyun An, Minseon Kim et al.
Meta Temporal Point Processes
Wonho Bae, Mohamed Osama Ahmed, Frederick Tung et al.
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
Huiqiang Wang, Jian Peng, Feihu Huang et al.
Mid-Vision Feedback
Michael Maynord, Eadom T Dessalene, Cornelia Fermuller et al.
MIMT: Masked Image Modeling Transformer for Video Compression
Jinxi Xiang, Kuan Tian, Jun Zhang
Mind's Eye: Grounded Language Model Reasoning through Simulation
Ruibo Liu, Jason Wei, Shixiang Shane Gu et al.
Mind the Gap: Offline Policy Optimization for Imperfect Rewards
Jianxiong Li, Xiao Hu, Haoran Xu et al.
Mind the Pool: Convolutional Neural Networks Can Overfit Input Size
Bilal Alsallakh, David Yan, Narine Kokhlikyan et al.
Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations
Gregory Schwartzman
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
Yubei Chen, Zeyu Yun, Yi Ma et al.
Minimax Optimal Kernel Operator Learning via Multilevel Training
Jikai Jin, Yiping Lu, Jose Blanchet et al.
Minimum Description Length Control
Ted Moskovitz, Ta-Chu Kao, Maneesh Sahani et al.
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
Brian Chmiel, Itay Hubara, Ron Banner et al.
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
Alex Gu, Songtao Lu, Parikshit Ram et al.
Mitigating Dataset Bias by Using Per-Sample Gradient
Sumyeong Ahn, Seongyoon Kim, Se-Young Yun
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
Heshan Devaka Fernando, Han Shen, Miao Liu et al.
Mitigating Memorization of Noisy Labels via Regularization between Representations
Hao Cheng, Zhaowei Zhu, Xing Sun et al.
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
Yifei Zhang, Hao Zhu, yankai Chen et al.