Papers
MIM4DD: Mutual Information Maximization for Dataset Distillation
Yuzhang Shang, Zhihang Yuan, Yan Yan
MIMEx: Intrinsic Rewards from Masked Input Modeling
Toru Lin, Allan Jabri
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
Nicolas Menet, Michael Hersche, Geethan Karunaratne et al.
Mind2Web: Towards a Generalist Agent for the Web
Xiang Deng, Yu Gu, Boyuan Zheng et al.
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
Moritz Haas, David Holzmüller, Ulrike V. Luxburg et al.
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers et al.
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
Veronica Alvarez, Santiago Mazuelas, Jose A. Lozano
Minimax-Optimal Location Estimation
Shivam Gupta, Jasper Lee, ecprice et al.
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
Dat Do, Huy Nguyen, Khai Nguyen et al.
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy
Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park
Minimum Description Length and Generalization Guarantees for Representation Learning
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
Minimum norm interpolation by perceptra: Explicit regularization and implicit bias
Jiyoung Park, Ian Pelakh, Stephan Wojtowytsch
Minimum-Risk Recalibration of Classifiers
Zeyu Sun, Dogyoon Song, Alfred O. Hero
Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields
Seungtae Nam, Daniel Rho, Jong Hwan Ko et al.
Mirror Diffusion Models for Constrained and Watermarked Generation
Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou et al.
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
Tam Nguyen, Tan Nguyen, Richard Baraniuk
Mitigating Source Bias for Fairer Weak Supervision
Changho Shin, Sonia Cromp, Dyah Adila et al.
Mitigating Test-Time Bias for Fair Image Retrieval
Fanjie Kong, Shuai Yuan, Weituo Hao et al.
Mitigating the Effect of Incidental Correlations on Part-based Learning
Gaurav Bhatt, Deepayan Das, Leonid Sigal et al.
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
Yifei Zhang, Hao Zhu, yankai Chen et al.
Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
Esmaeil Seraj, Jerry Xiong, Mariah Schrum et al.
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
Dapeng Hu, Jian Liang, Jun Hao Liew et al.
MixFormerV2: Efficient Fully Transformer Tracking
Yutao Cui, Tianhui Song, Gangshan Wu et al.
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu et al.
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi