Poster Papers
24,624 papers found • Page 418 of 493
Conference
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
Yanru Qu, Keyue Qiu, Yuxuan Song et al.
Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
Xin Juan, Kaixiong Zhou, Ninghao Liu et al.
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Yin Fang, Xiaozhuan Liang, Ningyu Zhang et al.
Mollification Effects of Policy Gradient Methods
Tao Wang, Sylvia Herbert, Sicun Gao
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
KUNPENG SONG, Yizhe Zhu, Bingchen Liu et al.
MoMask: Generative Masked Modeling of 3D Human Motions
chuan guo, Yuxuan Mu, Muhammad Gohar Javed et al.
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami, Konrad Szafer, Arjun Choudhry et al.
Momentum Auxiliary Network for Supervised Local Learning
Junhao Su, Changpeng Cai, Feiyu Zhu et al.
Momentum Benefits Non-iid Federated Learning Simply and Provably
Ziheng Cheng, Xinmeng Huang, Pengfei Wu et al.
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
Han Wang, Sihong He, Zhili Zhang et al.
Momentum Particle Maximum Likelihood
Jen Ning Lim, Juan Kuntz, Samuel Power et al.
MoML: Online Meta Adaptation for 3D Human Motion Prediction
Xiaoning Sun, Huaijiang Sun, Bin Li et al.
MoMo: Momentum Models for Adaptive Learning Rates
Fabian Schaipp, Ruben Ohana, Michael Eickenberg et al.
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
Weixin Liang, Zachary Izzo, Yaohui Zhang et al.
MonoCD: Monocular 3D Object Detection with Complementary Depths
Longfei Yan, Pei Yan, Shengzhou Xiong et al.
Monocular Identity-Conditioned Facial Reflectance Reconstruction
Xingyu Ren, Jiankang Deng, Yuhao Cheng et al.
Monocular Occupancy Prediction for Scalable Indoor Scenes
Hongxiao Yu, Yuqi Wang, Yuntao Chen et al.
MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models
Yasiru Ranasinghe, Deepti Hegde, Vishal M. Patel
MonoHair: High-Fidelity Hair Modeling from a Monocular Video
Keyu Wu, LINGCHEN YANG, Zhiyi Kuang et al.
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks
Ruigang Wang, Krishnamurthy Dvijotham, Ian Manchester
Monotone Individual Fairness
Yahav Bechavod
MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection
Hongbin Lin, Yifan Zhang, SHUAICHENG NIU et al.
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation
Jinfeng Liu, Lingtong Kong, Bo Li et al.
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection
Youngmin Oh, Hyung-Il Kim, Seong Tae Kim et al.
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.
Gabriel Cardoso, Yazid Janati el idrissi, Sylvain Le Corff et al.
MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models
Jonathan Brokman, Omer Hofman, Roman Vainshtein et al.
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric
Haokun Lin, Haoli Bai, Zhili Liu et al.
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy
Risheng Liu, Zhu Liu, Wei Yao et al.
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
Kaiwen Wang, Owen Oertell, Alekh Agarwal et al.
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
Hossein Zakerinia, Amin Behjati, Christoph Lampert
More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
James Simon, Dhruva Karkada, Nikhil Ghosh et al.
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering
Juhong Min, Shyamal Buch, Arsha Nagrani et al.
Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation
Xiyi Chen, Marko Mihajlovic, Shaofei Wang et al.
MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video
Hengyi Wang, Jingwen Wang, Lourdes Agapito
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
Nianzu Yang, Kaipeng Zeng, Haotian Lu et al.
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
Andrew Song, Richard J. Chen, Tong Ding et al.
Mosaic-SDF for 3D Generative Models
Lior Yariv, Omri Puny, Oran Gafni et al.
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got et al.
Most discriminative stimuli for functional cell type clustering
Max F. Burg, Thomas Zenkel, Michaela Vystrčilová et al.
MoST: Motion Style Transformer Between Diverse Action Contents
Boeun Kim, Jungho Kim, Hyung Jin Chang et al.
MoST: Multi-Modality Scene Tokenization for Motion Prediction
Norman Mu, Jingwei Ji, Zhenpei Yang et al.
Motif: Intrinsic Motivation from Artificial Intelligence Feedback
Martin Klissarov, Pierluca D'Oro, Shagun Sodhani et al.
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking
Wei Cao, Chang Luo, Biao Zhang et al.
Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring
Chengxu Liu, Xuan Wang, Xiangyu Xu et al.
Motion and Structure from Event-based Normal Flow
Zhongyang Ren, Bangyan Liao, Delei Kong et al.
Motion Aware Event Representation-driven Image Deblurring
Zhijing Sun, Xueyang Fu, Longzhuo Huang et al.
Motion Blur Decomposition with Cross-shutter Guidance
Xiang Ji, Haiyang Jiang, Yinqiang Zheng
MotionChain: Conversational Motion Controllers via Multimodal Prompts
Biao Jiang, Xin Chen, Chi Zhang et al.
MotionDirector: Motion Customization of Text-to-Video Diffusion Models
Rui Zhao, Yuchao Gu, Jay Zhangjie Wu et al.
Motion Diversification Networks
Hee Jae Kim, Eshed Ohn-Bar