All Papers

LEDITS++: Limitless Image Editing using Text-to-Image Models

Manuel Brack, Felix Friedrich, Katharina Kornmeier et al.

Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models

Ashutosh Baheti, Ximing Lu, Faeze Brahman et al.

LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model

Chenjie Cao, Yunuo Cai, Qiaole Dong et al.

LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning

Bolin Lai, Xiaoliang Dai, Lawrence Chen et al.

Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models

Saman Motamed, Danda Pani Paudel, Luc Van Gool

LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example

Soyeon Yoon, Kwan Yun, Kwanggyoon Seo et al.

LEGO-Prover: Neural Theorem Proving with Growing Libraries

Haiming Wang, Huajian Xin, Chuanyang Zheng et al.

LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation

Archana Swaminathan, Anubhav Anubhav, Kamal Gupta et al.

LEMON: Learning 3D Human-Object Interaction Relation from 2D Images

Yuhang Yang, Wei Zhai, Hongchen Luo et al.

LEMON: Lossless model expansion

Yite Wang, Jiahao Su, Hanlin Lu et al.

Lemur: Harmonizing Natural Language and Code for Language Agents

Yiheng Xu, Hongjin SU, Chen Xing et al.

Lemur: Integrating Large Language Models in Automated Program Verification

Haoze Wu, Clark Barrett, Nina Narodytska

Length-Aware Motion Synthesis via Latent Diffusion

Alessio Sampieri, Alessio Palma, Indro Spinelli et al.

LEOD: Label-Efficient Object Detection for Event Cameras

Ziyi Wu, Mathias Gehrig, Qing Lyu et al.

LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation

Zhengqin Xu, Yulun Zhang, Chao Ma et al.

LEROjD: Lidar Extended Radar-Only Object Detection

Patrick Palmer, Martin Krüger, Stefan Schütte et al.

Less is More: Fewer Interpretable Region via Submodular Subset Selection

Ruoyu Chen, Hua Zhang, Siyuan Liang et al.

Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs

Zhanke Zhou, Yongqi Zhang, Jiangchao Yao et al.

Less is More: on the Over-Globalizing Problem in Graph Transformers

Yujie Xing, Xiao Wang, Yibo Li et al.

Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!

Milad Sefidgaran, Romain Chor, Abdellatif Zaidi et al.

Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation

Chengming Hu, Haolun Wu, Xuan Li et al.

LESS: Selecting Influential Data for Targeted Instruction Tuning

Mengzhou Xia, Sadhika Malladi, Suchin Gururangan et al.

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

Junyoung Seo, Wooseok Jang, Min-Seop Kwak et al.

Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval

Zhe Ma, Jianfeng Dong, Shouling Ji et al.

Let Go of Your Labels with Unsupervised Transfer

Artyom Gadetsky, Yulun Jiang, Maria Brbic

Let Models Speak Ciphers: Multiagent Debate through Embeddings

Chau Pham, Boyi Liu, Yingxiang Yang et al.

Let's do the time-warp-attend: Learning topological invariants of dynamical systems

Noa Moriel, Matt Ricci, Mor Nitzan

LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping

Nikhil Gosala, Kürsat Petek, B Ravi Kiran et al.

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation

Shanshan Zhong, Zhongzhan Huang, Shanghua Gao et al.

Let's Verify Step by Step

Hunter Lightman, Vineet Kosaraju, Yuri Burda et al.

Let the Avatar Talk using Texts without Paired Training Data

Xiuzhe Wu, Yang-Tian Sun, Handi Chen et al.

Let There Be Sound: Reconstructing High Quality Speech from Silent Videos

Ji-Hoon Kim, Jaehun Kim, Joon Son Chung

Levenshtein Distance Embedding with Poisson Regression for DNA Storage

Xiang Wei, Alan J.X. Guo, Sihan Sun et al.

Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification

Jay Gala, Pengtao Xie

Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing

Xiaolong Zou, Xingxing Cao, Xiaojiao Yang et al.

Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning

Antoine Bambade, Fabian Schramm, Adrien Taylor et al.

Leveraging (Biased) Information: Multi-armed Bandits with Offline Data

Wang Chi Cheung, Lixing Lyu

Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion

Lalit Manam, Venu Madhav Govindu

Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification

Chao Yi, Lu Ren, De-Chuan Zhan et al.

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision

Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction

Zihao Liu, Xiaoyu Zhang, Guangwei Liu et al.

Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering

Chen Zhang, Wencheng Han, Yang Zhou et al.

Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data

Ayesha Vermani, Il Memming Park, Josue Nassar

Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation

Haizhong Zheng, Jiachen Sun, Shutong Wu et al.

Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design

Heng Dong, Junyu Zhang, Chongjie Zhang

Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection

Hongzhi Gao, Zheng Chen, Zehui Chen et al.

Leveraging Imperfect Restoration for Data Availability Attack

YI HUANG, Jeremy Styborski, Mingzhi Lyu et al.

Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning

Zeping Min, Jinfeng Bai, Chengfei Li

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control

Neehal Tumma, Mathias Lechner, Noel Loo et al.