All Papers
34,598 papers found • Page 588 of 692
Conference
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
Hongduan Tian, Feng Liu, Tongliang Liu et al.
Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective
Junwei Yang, Kangjie Zheng, Siyu Long et al.
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.
Molecular Optimization Model with Patentability Constraint
Sally Turutov, Kira Radinsky
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
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
Haoqiang Guo, Sendong Zhao, Haochun Wang et al.
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.
Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
Long Qian, Juncheng Li, Yu Wu 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.
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models
Zhang Li, Biao Yang, Qiang Liu et al.
Mono3DVG: 3D Visual Grounding in Monocular Images
Yangfan Zhan, Yuan Yuan, Zhitong Xiong
MonoCD: Monocular 3D Object Detection with Complementary Depths
Longfei Yan, Pei Yan, Shengzhou Xiong et al.
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
Hanhui Li, Xiaojian Lin, Xuan Huang 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.
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos
Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos 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.
Monte Carlo Tree Search in the Presence of Transition Uncertainty
Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang 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.
Moral Uncertainty and the Problem of Fanaticism
Jazon Szabo, Natalia Criado, Jose Such 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.
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders
Junru Song, Yang Yang, Wei Peng 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.