All Papers

MaGIC: Multi-modality Guided Image Completion

Hao Wang, Yongsheng Yu, Tiejian Luo et al.

Magicoder: Empowering Code Generation with OSS-Instruct

Yuxiang Wei, Zhe Wang, Jiawei Liu et al.

MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion

Di Chang, Yichun Shi, Quankai Gao et al.

Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification

Pingping Zhang, Yuhao Wang, Yang Liu et al.

MagMax: Leveraging Model Merging for Seamless Continual Learning

Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski et al.

Magnitude Invariant Parametrizations Improve Hypernetwork Learning

Jose Javier Gonzalez Ortiz, John Guttag, Adrian Dalca

MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation

Alexandre Hayderi, Amin Saberi, Ellen Vitercik et al.

Magnushammer: A Transformer-Based Approach to Premise Selection

Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak et al.

MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment

Kanglei Zhou, Liyuan Wang, Xingxing Zhang et al.

Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization

Qi Zhang, Kaiyi Zhang, Antoni Chan et al.

Major-Minor Mean Field Multi-Agent Reinforcement Learning

Kai Cui, Christian Fabian, Anam Tahir et al.

Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation

Lanqing Guo, Yingqing He, Haoxin Chen et al.

Make-A-Shape: a Ten-Million-scale 3D Shape Model

Ka-Hei Hui, Aditya Sanghi, Arianna Rampini et al.

Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation

Shoumeng Qiu, Jie Chen, Xinrun Li et al.

Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text

Junshu Tang, Yanhong Zeng, Ke Fan et al.

Make Lossy Compression Meaningful for Low-Light Images

Shilv Cai, Liqun Chen, Sheng Zhong et al.

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models

Gianni Franchi, Olivier Laurent, Maxence Leguéry et al.

Make Pixels Dance: High-Dynamic Video Generation

Yan Zeng, Guoqiang Wei, Jiani Zheng et al.

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior

Youngjae Cho, HeeSun Bae, Seungjae Shin et al.

Make RepVGG Greater Again: A Quantization-Aware Approach

Xuesong Nie, Yunfeng Yan, Siyuan Li et al.

Makeup Prior Models for 3D Facial Makeup Estimation and Applications

Xingchao Yang, Takafumi Taketomi, Yuki Endo et al.

Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation

Fangfu Liu, Hanyang Wang, Weiliang Chen et al.

Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework

Ziyao Huang, Fan Tang, Yong Zhang et al.

Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression

Dingyuan Zhang, Dingkang Liang, Zichang Tan et al.

Making Large Language Models Better Planners with Reasoning-Decision Alignment

Zhijian Huang, Tao Tang, Shaoxiang Chen et al.

Making LLaMA SEE and Draw with SEED Tokenizer

Yuying Ge, Sijie Zhao, Ziyun Zeng et al.

Making Old Things New: A Unified Algorithm for Differentially Private Clustering

Max Dupre la Tour, Monika Henzinger, David Saulpic

Making Pre-trained Language Models Great on Tabular Prediction

Jiahuan Yan, Bo Zheng, Hongxia Xu et al.

Making Retrieval-Augmented Language Models Robust to Irrelevant Context

Ori Yoran, Tomer Wolfson, Ori Ram et al.

Making RL with Preference-based Feedback Efficient via Randomization

Runzhe Wu, Wen Sun

Making Vision Transformers Truly Shift-Equivariant

Renan A. Rojas-Gomez, Teck-Yian Lim, Minh Do et al.

Making Visual Sense of Oracle Bones for You and Me

Runqi Qiao, LAN YANG, Kaiyue Pang et al.

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization

Jiarong Pan, Stefan Falkner, Felix Berkenkamp et al.

MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding

Bo He, Hengduo Li, Young Kyun Jang et al.

MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning

Zohar Rimon, Tom Jurgenson, Orr Krupnik et al.

MambaIR: A Simple Baseline for Image Restoration with State-Space Model

Hang Guo, Jinmin Li, Tao Dai et al.

Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Shufan Li, Aditya Grover, Harkanwar Singh

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Xiang Yue, Xingwei Qu, Ge Zhang et al.

MA-Net: Rethinking Neural Unit in the Light of Astrocytes

Mengqiao Han, Liyuan Pan, Xiabi Liu

Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification

Haochun Wang, Sendong Zhao, Chi Liu et al.

Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds

Manifold Diffusion Fields

Ahmed Elhag, Ahmed Elhag, Yuyang Wang et al.

Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution

Eslam Zaher, Maciej Trzaskowski, Quan Nguyen et al.

Manifold Preserving Guided Diffusion

Yutong He, Naoki Murata, Chieh-Hsin Lai et al.

ManiFPT: Defining and Analyzing Fingerprints of Generative Models

Hae Jin Song, Mahyar Khayatkhoei, Wael AbdAlmageed

ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation

Guanxing Lu, Shiyi Zhang, Ziwei Wang et al.

MANIKIN: Biomechanically Accurate Neural Inverse Kinematics for Human Motion Estimation

Jiaxi Jiang, Paul Streli, Xuejing Luo et al.

ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation

Xiaoqi Li, Mingxu Zhang, Yiran Geng et al.

Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems

Jacob Prince, Gabriel Fajardo, George Alvarez et al.

Manipulation-Robust Selection of Citizens’ Assemblies

Bailey Flanigan, Jennifer Liang, Ariel Procaccia et al.