Poster Papers
24,624 papers found • Page 414 of 493
Conference
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
Brian Zhang, Gabriele Farina, Tuomas Sandholm
MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
Chenlu Zhan, Gaoang Wang, Yu LIN et al.
MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks
Elad Hirsch, Gefen Dawidowicz, Ayellet Tal
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Tianle Cai, Yuhong Li, Zhengyang Geng et al.
Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time
Sanjoy Chowdhury, Sayan Nag, Subhrajyoti Dasgupta et al.
MegaScenes: Scene-Level View Synthesis at Scale
Joseph Tung, Gene Chou, Ruojin Cai et al.
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis
Ziyue Jiang, Jinglin Liu, Yi Ren et al.
Membership Inference Attacks on Diffusion Models via Quantile Regression
Shuai Tang, Steven Wu, Sergul Aydore et al.
MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory
Juwon Kang, Nayeong Kim, Jungseul Ok et al.
MemFlow: Optical Flow Estimation and Prediction with Memory
Qiaole Dong, Yanwei Fu
Memorization in Self-Supervised Learning Improves Downstream Generalization
Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic et al.
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation
Yuxiang (YU-HSIANG) LAI, Yi Zhou, Xinghong Liu et al.
Memory-based Adapters for Online 3D Scene Perception
Xiuwei Xu, Chong Xia, Ziwei Wang et al.
Memory-Consistent Neural Networks for Imitation Learning
Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman et al.
Memory-Efficient Fine-Tuning for Quantized Diffusion Model
Hyogon Ryu, Seohyun Lim, Hyunjung Shim
Memory Efficient Neural Processes via Constant Memory Attention Block
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi et al.
MEMORYLLM: Towards Self-Updatable Large Language Models
Yu Wang, Yifan Gao, Xiusi Chen et al.
Memory-Scalable and Simplified Functional Map Learning
Robin Magnet, Maks Ovsjanikov
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
Shibo Jie, Yehui Tang, Ning Ding et al.
MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation
Xiaolong Deng, Huisi Wu, Runhao Zeng et al.
MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
Yichuan Li, Xiyao Ma, Sixing Lu et al.
Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas
Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli et al.
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
Anke Tang, Li Shen, Yong Luo et al.
Merlin: Empowering Multimodal LLMs with Foresight Minds
En Yu, liang zhao, YANA WEI et al.
MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo
Ashish Tiwari, Satoshi Ikehata, Shanmuganathan Raman
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Yizhi Li, Ruibin Yuan, Ge Zhang et al.
MESA: Matching Everything by Segmenting Anything
Yesheng Zhang, Xu Zhao
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation
Yujin Chen, Yinyu Nie, Benjamin Ummenhofer et al.
MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos
Yushuo Chen, Zerong Zheng, Zhe Li et al.
MeshFeat: Multi-Resolution Features for Neural Fields on Meshes
Mihir Mahajan, Florian Hofherr, Daniel Cremers
MeshPose: Unifying DensePose and 3D Body Mesh Reconstruction
Eric-Tuan Le, Antonios Kakolyris, Petros Koutras et al.
MeshSegmenter: Zero-Shot Mesh Segmentation via Texture Synthesis
ziming zhong, Yanyu Xu, Jing Li et al.
MeshVPR: Citywide Visual Place Recognition Using 3D Meshes
Gabriele Berton, Lorenz Junglas, Riccardo Zaccone et al.
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation
Shuzhao Xie, Weixiang Zhang, Chen Tang et al.
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks
Sanbao Su, Xin Li, Thang Doan et al.
MetaAug: Meta-Data Augmentation for Post-Training Quantization
Cuong Pham, Hoang Anh Dung, Cuong Cao Nguyen et al.
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering
Guoxing Sun, Rishabh Dabral, Pascal Fua et al.
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning
Yixin Liu, Chenrui Fan, Yutong Dai et al.
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang, Haoxuan Li, Fei Wu et al.
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
Yichen Wu, Long-Kai Huang, Renzhen Wang et al.
Meta Evidential Transformer for Few-Shot Open-Set Recognition
Hitesh Sapkota, Krishna Neupane, Qi Yu
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
Xingyu Liu, Deepak Pathak, DING ZHAO
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Sirui Hong, Mingchen Zhuge, Jonathan Chen et al.
Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis
Shicheng Liu, Minghui Zhu
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
Jonas Schweisthal, Dennis Frauen, M van der Schaar et al.
Meta-Learning Priors Using Unrolled Proximal Networks
Yilang Zhang, Georgios B Giannakis
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
Thanh Thong Nguyen, Yi Bin, Xiaobao Wu et al.
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
Junjie Chen, Jiebin Yan, Yuming Fang et al.
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin et al.
Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning
TengYe Xu, Zihao Li, Qinyuan Ren