Poster Papers
24,624 papers found • Page 413 of 493
Conference
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
Jiachen Li, Qiaozi Gao, Michael Johnston et al.
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
Yixuan Weng, Minjun Zhu, Fei Xia et al.
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
Ling Yang, Zhaochen Yu, Chenlin Meng et al.
Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn
MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation
Yuxiang WEI, Zhilong Ji, Jinfeng Bai et al.
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
Yang Liu, Muzhi Zhu, Hengtao Li et al.
Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
Axel Barroso-Laguna, Sowmya Munukutla, Victor Adrian Prisacariu et al.
Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching
Junpeng Jing, Ye Mao, Krystian Mikolajczyk
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images
Junwen Huang, Hao Yu, Kuan-Ting Yu et al.
Material Palette: Extraction of Materials from a Single Image
Ivan Lopes, Fabio Pizzati, Raoul de Charette
MatFuse: Controllable Material Generation with Diffusion Models
Giuseppe Vecchio, Renato Sortino, Simone Palazzo et al.
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Ke Wang, Houxing Ren, Aojun Zhou et al.
Mathematical Framework for Online Social Media Auditing
Wasim Huleihel, Yehonathan Refael
Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem
Albert Xu, Jhih-Yi Hsieh, Bhaskar Vundurthy et al.
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Zhengyang Tang, Xingxing Zhang, Benyou Wang et al.
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Renrui Zhang, Dongzhi Jiang, Yichi Zhang et al.
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Pan Lu, Hritik Bansal, Tony Xia et al.
Matrix Information Theory for Self-Supervised Learning
Yifan Zhang, Zhiquan Tan, Jingqin Yang et al.
Matrix Manifold Neural Networks++
Xuan Son Nguyen, Yang, Aymeric Histace
Matroid Semi-Bandits in Sublinear Time
Ruo-Chun Tzeng, Naoto Ohsaka, Kaito Ariu
Matryoshka Diffusion Models
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang et al.
MatSynth: A Modern PBR Materials Dataset
Giuseppe Vecchio, Valentin Deschaintre
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models
Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal Patel
Maximum Entropy Model Correction in Reinforcement Learning
Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh et al.
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
Jiawei Ge, Shange Tang, Jianqing Fan et al.
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery
Pei Zhou, Yanchao Yang
MaxMin-RLHF: Alignment with Diverse Human Preferences
Souradip Chakraborty, Jiahao Qiu, Hui Yuan et al.
MaxQ: Multi-Axis Query for N:M Sparsity Network
Jingyang Xiang, Siqi Li, Junhao Chen et al.
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
Mara Finkelstein, Markus Freitag
McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction
Daxuan Ren, Hezi Shi, Jianmin Zheng et al.
MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
Jiaxin Yin, Yuanyuan Qiao, Zitang Zhou et al.
MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation
Haokai Zhu, Si-Yuan Cao, Jianxin Hu et al.
MC-PanDA: Mask Confidence for Panoptic Domain Adaptation
Ivan Martinovic, Josip Šarić, Siniša Šegvić
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
Bor Shiun Wang, Chien-Yi Wang, Wei-Chen Chiu
MD tree: a model-diagnostic tree grown on loss landscape
Yefan Zhou, Jianlong Chen, Qinxue Cao et al.
MeaCap: Memory-Augmented Zero-shot Image Captioning
Zequn Zeng, Yan Xie, Hao Zhang et al.
Mean Estimation in the Add-Remove Model of Differential Privacy
Alex Kulesza, Ananda Suresh, Yuyan Wang
Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
Shokichi Takakura, Taiji Suzuki
Mean-field Chaos Diffusion Models
Sungwoo Park, Dongjun Kim, Ahmed Alaa
Mean Field Theory in Deep Metric Learning
Takuya Furusawa
Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization
Qiang Fu, Ashia Wilson
Meaning Representations from Trajectories in Autoregressive Models
Tian Yu Liu, Matthew Trager, Alessandro Achille et al.
Mean-Shift Feature Transformer
Takumi Kobayashi
Measures of diversity and space-filling designs for categorical data
AstraZeneca Pharmaceutica, Emilio Domínguez-Sánchez, Merwan Barlier et al.
Measuring Stochastic Data Complexity with Boltzmann Influence Functions
Nathan Ng, Roger Grosse, Marzyeh Ghassemi
Measuring Vision-Language STEM Skills of Neural Models
Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan et al.
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
Samyak Jain, Robert Kirk, Ekdeep Singh Lubana et al.
Mechanistic Design and Scaling of Hybrid Architectures
Michael Poli, Armin Thomas, Eric Nguyen et al.
Mechanistic Neural Networks for Scientific Machine Learning
Adeel Pervez, Francesco Locatello, Efstratios Gavves
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
Hyejin Park, Jeongyeon Hwang, Sunung Mun et al.