Papers
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction
Di Liu, Anastasis Stathopoulos, Qilong Zhangli et al.
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets
Dinghuai Zhang, Hanjun Dai, Nikolay Malkin et al.
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
Yulhwa Kim, Dongwon Jo, Hyesung Jeon et al.
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
Robert Allison, Anthony Stephenson, Samuel F et al.
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Lin Guan, Karthik Valmeekam, Sarath Sreedharan et al.
Leveraging sparse and shared feature activations for disentangled representation learning
Marco Fumero, Florian Wenzel, Luca Zancato et al.
Leveraging the two-timescale regime to demonstrate convergence of neural networks
Pierre Marion, Raphaël Berthier
Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection
Linyan Huang, Zhiqi Li, Chonghao Sima et al.
Lexinvariant Language Models
Qian Huang, Eric Zelikman, Sarah Chen et al.
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Bo Liu, Yifeng Zhu, Chongkai Gao et al.
LICO: Explainable Models with Language-Image COnsistency
Yiming Lei, Zilong Li, Yangyang Li et al.
Lie Point Symmetry and Physics-Informed Networks
Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter et al.
Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory
Xin Cheng, Di Luo, Xiuying Chen et al.
LightSpeed: Light and Fast Neural Light Fields on Mobile Devices
Aarush Gupta, Junli Cao, Chaoyang Wang et al.
Lightweight Vision Transformer with Bidirectional Interaction
Qihang Fan, Huaibo Huang, Xiaoqiang Zhou et al.
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
Yazhe Niu, YUAN PU, Zhenjie Yang et al.
Likelihood-Based Diffusion Language Models
Ishaan Gulrajani, Tatsunori B Hashimoto
Likelihood Ratio Confidence Sets for Sequential Decision Making
Nicolas Emmenegger, Mojmir Mutny, Andreas Krause
LIMA: Less Is More for Alignment
Chunting Zhou, Pengfei Liu, Puxin Xu et al.
Limits, approximation and size transferability for GNNs on sparse graphs via graphops
Thien Le, Stefanie Jegelka
Linear Time Algorithms for k-means with Multi-Swap Local Search
Junyu Huang, Qilong Feng, Ziyun Huang et al.
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Hongwu Peng, Ran Ran, Yukui Luo et al.
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
Royi Rassin, Eran Hirsch, Daniel Glickman et al.
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
Jiaqi Guan, Xingang Peng, PeiQi Jiang et al.
List and Certificate Complexities in Replicable Learning
Peter Dixon, A. Pavan, Jason Vander Woude et al.