Papers
11,015 papers found
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum et al.
Multi-Resolution Diffusion Models for Time Series Forecasting
Lifeng Shen, Weiyu Chen, James Kwok
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction
Jiatong Shi, Hirofumi Inaguma, Xutai Ma et al.
Multiscale Positive-Unlabeled Detection of AI-Generated Texts
Yuchuan Tian, Hanting Chen, Xutao Wang et al.
Multi-Scale Representations by Varying Window Attention for Semantic Segmentation
Haotian Yan, Ming Wu, Chuang Zhang
Multisize Dataset Condensation
Yang He, Lingao Xiao, Joey Tianyi Zhou et al.
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Giorgio Mariani, Irene Tallini, Emilian Postolache et al.
Multi-task Learning with 3D-Aware Regularization
Wei-Hong Li, Steven McDonagh, Ales Leonardis et al.
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Ahmed Hendawy, Jan Peters, Carlo D'Eramo
Multi-View Causal Representation Learning with Partial Observability
Dingling Yao, Danru Xu, Sebastien Lachapelle et al.
Multi-View Representation is What You Need for Point-Cloud Pre-Training
Siming Yan, Chen Song, Youkang Kong et al.
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
Xurui Li, Ziming Huang, Feng Xue et al.
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
Zayne Rea Sprague, Xi Ye, Kaj Bostrom et al.
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
Yinya Huang, Xiaohan Lin, Zhengying Liu et al.
MVDream: Multi-view Diffusion for 3D Generation
Yichun Shi, Peng Wang, Jianglong Ye et al.
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
Chenjie Cao, Xinlin Ren, Yanwei Fu
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Kai Shen, Zeqian Ju, Xu Tan et al.
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace
Xinyu Yang, Weixin Liang, James Zou
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
SHIH-YING YEH, Yu-Guan Hsieh, Zhidong Gao et al.
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
Tuan Le, Julian Cremer, Frank Noe et al.
Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
Joe Benton, Valentin De Bortoli, Arnaud Doucet et al.
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
Hao Wang, Chenyi Zhang, Tongyang Li
Near-Optimal Solutions of Constrained Learning Problems
Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro
NECO: NEural Collapse Based Out-of-distribution detection
Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu et al.
NEFTune: Noisy Embeddings Improve Instruction Finetuning
Neel Jain, Ping-yeh Chiang, Yuxin Wen et al.