Papers
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
Jiacong Hu, Jing Gao, Jingwen Ye et al.
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
Pasan Dissanayake, Sanghamitra Dutta
Model Sensitivity Aware Continual Learning
Zhenyi Wang, Heng Huang
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks
Xingkui Zhu, Yiran Guan, Dingkang Liang et al.
MoEUT: Mixture-of-Experts Universal Transformers
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber et al.
MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling
Weihao Yuan, Yisheng He, Weichao Shen et al.
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
Yanrui Du, Sendong Zhao, Danyang Zhao et al.
Molecule Design by Latent Prompt Transformer
Deqian Kong, Yuhao Huang, Jianwen Xie et al.
Molecule Generation with Fragment Retrieval Augmentation
Seul Lee, Karsten Kreis, Srimukh Prasad Veccham et al.
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
Jie Zhu, Yixiong Chen, Mingyu Ding et al.
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
Leyang Shen, Gongwei Chen, Rui Shao et al.
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
Rachel S.Y. Teo, Tan M. Nguyen
MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence
Fuming You, Minghui Fang, Li Tang et al.
MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
Lynn Le, Paolo Papale, Katja Seeliger et al.
Monoculture in Matching Markets
Kenny Peng, Nikhil Garg
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
Xueying Jiang, Sheng Jin, Xiaoqin Zhang et al.
Monomial Matrix Group Equivariant Neural Functional Networks
Viet-Hoang Tran, Thieu N. Vo, Tho Tran-Huu et al.
Monte Carlo Tree Search based Space Transfer for Black Box Optimization
Shukuan Wang, Ke Xue, Lei Song et al.
Most Influential Subset Selection: Challenges, Promises, and Beyond
Yuzheng Hu, Pingbang Hu, Han Zhao et al.
MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
Yu-Ming Zhang, Jun-Wei Hsieh, Xin Li et al.
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
Minghao Zhu, Zhengpu Wang, Mengxian Hu et al.
Motif-oriented influence maximization for viral marketing in large-scale social networks
Mingyang Zhou, Weiji Cao, Hao Liao et al.
MotionBooth: Motion-Aware Customized Text-to-Video Generation
Jianzong Wu, Xiangtai Li, Yanhong Zeng et al.
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
Yuanhao Zhai, Kevin Lin, Zhengyuan Yang et al.
MotionCraft: Physics-Based Zero-Shot Video Generation
Antonio Montanaro, Luca Savant Aira, Emanuele Aiello et al.