Papers
11,955 papers found
LookupViT: Compressing visual information to a limited number of tokens
Rajat Koner, Gagan Jain, Sujoy Paul et al.
Looped Transformers are Better at Learning Learning Algorithms
Liu Yang, Kangwook Lee, Robert D Nowak et al.
LOQA: Learning with Opponent Q-Learning Awareness
Milad Aghajohari, Juan Agustin Duque, Tim Cooijmans et al.
Loss Landscape Characterization of Neural Networks without Over-Parametrization
Rustem Islamov, Niccoló Ajroldi, Antonio Orvieto et al.
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents
Jae-Woo Choi, Youngwoo Yoon, Hyobin Ong et al.
Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time
Yuzhou Gu, Zhao Song, Junze Yin et al.
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning
Shangmin Guo, Yi Ren, Stefano V Albrecht et al.
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Han Guo, Philip Greengard, Eric Xing et al.
LRM: Large Reconstruction Model for Single Image to 3D
Yicong Hong, Kai Zhang, Jiuxiang Gu et al.
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks
Jianlang Chen, Xuhong Ren, Qing Guo et al.
LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System
Hongbeen Park, Minjeong Park, Giljoo Nam et al.
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
Lingfeng Liu, Dong Ni, Hangjie Yuan
LuoShen: A Hyper-Converged Programmable Gateway for Multi-Tenant Multi-Service Edge Clouds
Tian Pan, Kun Liu, Xionglie Wei et al.
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
Gunho Park, Baeseong park, Minsub Kim et al.
M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
Mingshuang Luo, Ruibing Hou, Zhuo Li et al.
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
Jiaxin Lu, Zetian Jiang, Tianzhe Wang et al.
Machine Unlearning for Image-to-Image Generative Models
Guihong Li, Hsiang Hsu, Chun-Fu Chen et al.
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Guocheng Qian, Jinjie Mai, Abdullah Hamdi et al.
MagicDrive: Street View Generation with Diverse 3D Geometry Control
Ruiyuan Gao, Kai Chen, Enze Xie et al.
MaGIC: Multi-modality Guided Image Completion
Hao Wang, Yongsheng Yu, Tiejian Luo et al.
MagMax: Leveraging Model Merging for Seamless Continual Learning
Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski et al.
Magnitude Invariant Parametrizations Improve Hypernetwork Learning
Jose Javier Gonzalez Ortiz, John Guttag, Adrian V Dalca
Magnushammer: A Transformer-Based Approach to Premise Selection
Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak et al.
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation
Shoumeng Qiu, Jie Chen, Xinrun Li et al.
Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation
Fangfu Liu, Hanyang Wang, Weiliang Chen et al.