Poster Papers
24,624 papers found • Page 160 of 493
Conference
Lifting the Structural Morphing for Wide-Angle Images Rectification: Unified Content and Boundary Modeling
Wenting Luan, Siqi Lu, Yongbin Zheng et al.
Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference
Hao Yin, Guangzong Si, Zilei Wang
LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding
Amirhossein Kazerouni, Soroush Mehraban, Michael Brudno et al.
LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
Minyoung Kim, Timothy Hospedales
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
Zihang Liu, Tianyu Pang, Oleg Balabanov et al.
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer et al.
Liger: Linearizing Large Language Models to Gated Recurrent Structures
Disen Lan, Weigao Sun, Jiaxi Hu et al.
Light-A-Video: Training-free Video Relighting via Progressive Light Fusion
Yujie Zhou, Jiazi Bu, Pengyang Ling et al.
LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning
Jiang Yuan, ji ma, Bo Wang et al.
LightCity: An Urban Dataset for Outdoor Inverse Rendering and Reconstruction under Multi-illumination Conditions
Jingjing Wang, Qirui Hu, Chong Bao et al.
LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders
Boyu Han, Qianqian Xu, Shilong Bao et al.
LightGTS: A Lightweight General Time Series Forecasting Model
Yihang Wang, Yuying Qiu, Peng Chen et al.
LightLoc: Learning Outdoor LiDAR Localization at Light Speed
Wen Li, Chen Liu, Shangshu Yu et al.
LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
Yujun Shi, Jun Hao Liew, Hanshu Yan et al.
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models
Dvir Samuel, Barak Meiri, Haggai Maron et al.
LightsOut: Diffusion-based Outpainting for Enhanced Lens Flare Removal
Shr-Ruei Tsai, Wei-Cheng Chang, Jie-Ying Lee et al.
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
Khai Nguyen, Hai Nguyen, Tuan Pham et al.
LightSwitch: Multi-view Relighting with Material-guided Diffusion
Yehonathan Litman, Fernando De la Torre, Shubham Tulsiani
Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tables
Wontae Kim, Keuntek Lee, Nam Ik Cho
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
Yeseul Cho, Baekrok Shin, Changmin Kang et al.
Lightweight Gradient-Aware Upscaling of 3D Gaussian Splatting Images
Simon Niedermayr, Christoph Neuhauser, Rüdiger Westermann
Lightweight-Mark: Rethinking Deep Learning-Based Watermarking
Yupeng Qiu, Han Fang, Ee-Chien Chang
Lightweight Neural App Control
Filippos Christianos, Georgios Papoudakis, Thomas Coste et al.
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas Lee, William Toner, Rajkarn Singh et al.
Lightweight Predictive 3D Gaussian Splats
Junli Cao, Vidit Goel, Chaoyang Wang et al.
LILO: Learning to Reason at the Frontier of Learnability
Thomas Foster, Anya Sims, Johannes Forkel et al.
LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
Xiuyi Jia, Jinchi Li, Yunan Lu et al.
Limitations of measure-first protocols in quantum machine learning
Casper Gyurik, Riccardo Molteni, Vedran Dunjko
Limitations of Normalization in Attention
Timur Mudarisov, Mikhail Burtsev, Tatiana Petrova et al.
Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis
Leitian Tao, Xuefeng Du, Sharon Li
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubic, Federico Soldà, Aurelio Sulser et al.
Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data
Florian Eddie Dorner, Vivian Nastl, Moritz Hardt
LIM: Large Interpolator Model for Dynamic Reconstruction
Remy Sabathier, Niloy J. Mitra, David Novotny
LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
Xiang Xu, Lingdong Kong, hui shuai et al.
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling
Yang Xiao, Jiashuo WANG, Ruifeng Yuan et al.
Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
Xinyu Liu, Zixuan Xie, Shangtong Zhang
Linear Attention for Efficient Bidirectional Sequence Modeling
Arshia Afzal, Elias Abad Rocamora, Leyla Candogan et al.
Linear Attention Modeling for Learned Image Compression
Donghui Feng, Zhengxue Cheng, Shen Wang et al.
Linear Bandits with Memory
Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi
Linear Bandits with Partially Observable Features
Wonyoung Kim, Sungwoo PARK, Garud Iyengar et al.
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
Enshu Liu, Junyi Zhu, Zinan Lin et al.
Linear combinations of latents in generative models: subspaces and beyond
Erik Bodin, Alexandru Stere, Dragos Margineantu et al.
Linear Contextual Bandits With Interference
Yang Xu, Wenbin Lu, Rui Song
Linear convergence of Sinkhorn's algorithm for generalized static Schrödinger bridge
Rahul Choudhary, Hanbaek Lyu
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
Yifan Pu, Jixuan Ying, Qixiu Li et al.
Linearization Explains Fine-Tuning in Large Language Models
Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian et al.
Linearly Constrained Diffusion Implicit Models
Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steve Seitz et al.
Linear Mixture Distributionally Robust Markov Decision Processes
Zhishuai Liu, Pan Xu
Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries
Akira Ito, Masanori Yamada, Atsutoshi Kumagai
Linear Mode Connectivity in Differentiable Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama