Papers
11,015 papers found
Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency
Jianwen Jiang, Chao Liang, Jiaqi Yang et al.
LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models
Ziqi Lu, Heng Yang, Danfei Xu et al.
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
Jui-Nan Yen, Si Si, Zhao Meng et al.
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Liangzu Peng, Juan Elenter, Joshua Agterberg et al.
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
Zhengbo Wang, Jian Liang, Ran He et al.
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse et al.
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
Can Jin, Ying Li, Mingyu Zhao et al.
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
Frank Zhengqing Wu, Berfin Simsek, François Gaston Ged
Lossy Compression with Pretrained Diffusion Models
Jeremy Vonderfecht, Feng Liu
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
Jing He, Haodong Li, Wei Yin et al.
LR0.FM: Low-Res Benchmark and Improving robustness for Zero-Shot Classification in Foundation Models
Priyank Pathak, Shyam Marjit, Shruti Vyas et al.
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
Mateusz Pach, Koryna Lewandowska, Jacek Tabor et al.
Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation
Peng Gao, Le Zhuo, Dongyang Liu et al.
LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias
Haian Jin, Hanwen Jiang, Hao Tan et al.
L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement
Morgan Bruce Talbot, Gabriel Kreiman, James J. DiCarlo et al.
M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model
Kehan Wen, Yutong Hu, Yao Mu et al.
MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder
Sehyeok Kang, Yongsik Lee, Gahee Kim et al.
Machine Unlearning Fails to Remove Data Poisoning Attacks
Martin Pawelczyk, Jimmy Z. Di, Yiwei Lu et al.
Machine Unlearning via Simulated Oracle Matching
Kristian Georgiev, Roy Rinberg, Sung Min Park et al.
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
Yougang Lyu, Lingyong Yan, Zihan Wang et al.
MADGEN: Mass-Spec attends to De Novo Molecular generation
Yinkai Wang, Xiaohui Chen, Liping Liu et al.
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
Claas A Voelcker, Marcel Hussing, Eric Eaton et al.
MAESTRO: Masked Encoding Set Transformer with Self-Distillation
Matthew Eric Lee, Jaesik Kim, Matei Ionita et al.
MaestroMotif: Skill Design from Artificial Intelligence Feedback
Martin Klissarov, Mikael Henaff, Roberta Raileanu et al.
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
Zhaoning Yu, Hongyang Gao