Poster Papers
24,624 papers found • Page 163 of 493
Conference
Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
Peter Richtarik, Simone Maria Giancola, Dymitr Lubczyk et al.
Local Dense Logit Relations for Enhanced Knowledge Distillation
Liuchi Xu, Kang Liu, Jinshuai Liu et al.
LocalDyGS: Multi-view Global Dynamic Scene Modeling via Adaptive Local Implicit Feature Decoupling
Jiahao Wu, Rui Peng, Jianbo Jiao et al.
Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling
haowei hua, Wanyu Lin
Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives
Geng Zhang, Jiangrong Shen, Kaizhong Zheng et al.
Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing
Tianfang Zhu, Dongli Hu, Jiandong Zhou et al.
Locality Alignment Improves Vision-Language Models
Ian Covert, Tony Sun, James Y Zou et al.
Locality-aware Gaussian Compression for Fast and High-quality Rendering
Seungjoo Shin, Jaesik Park, Sunghyun Cho
Locality-Aware Zero-Shot Human-Object Interaction Detection
Sanghyun Kim, Deunsol Jung, Minsu Cho
Locality Preserving Markovian Transition for Instance Retrieval
Jifei Luo, Wenzheng Wu, Hantao Yao et al.
Locality Sensitive Avatars From Video
Chunjin Song, Zhijie Wu, Shih-Yang Su et al.
Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation
Byung Hyun Lee, Sungjin Lim, Se Young Chun
Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms
Guangyi Zhang, Yanhao Wang, Chengliang Chai et al.
Localizing Events in Videos with Multimodal Queries
Gengyuan Zhang, Mang Ling Ada Fok, Jialu Ma et al.
Localizing Knowledge in Diffusion Transformers
Arman Zarei, Samyadeep Basu, Keivan Rezaei et al.
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
Zheng Li, Xichen Guo, Feng Xie et al.
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation
Satoki Ishikawa, Rio Yokota, Ryo Karakida
Locally Connected Echo State Networks for Time Series Forecasting
Filip Matzner, František Mráz
Locally Optimal Private Sampling: Beyond the Global Minimax
Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh
Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
Kyowoon Lee, Jaesik Choi
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
Zhekai Du, Yinjie Min, Jingjing Li et al.
Local Pan-privacy for Federated Analytics
Vitaly Feldman, Audra McMillan, Guy Rothblum et al.
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
Fanhu Zeng, Zhen Cheng, Fei Zhu et al.
Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer
Md Ashiqur Rahman, Chiao-An Yang, Michael N Cheng et al.
Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression
Michael Crawshaw, Blake Woodworth, Mingrui Liu
LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editing
Achint Soni, Meet Soni, Sirisha Rambhatla
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
Zhuoran Zhang, Yongxiang Li, Zijian Kan et al.
LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space
Zhangyu Wang, Zeping Liu, Jielu Zhang et al.
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
Laurent Condat, Artavazd Maranjyan, Peter Richtarik
LOCORE: Image Re-ranking with Long-Context Sequence Modeling
Zilin Xiao, Pavel Suma, Ayush Sachdeva et al.
LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality
Kojiro Takeyama, Yimeng Liu, Misha Sra
LOD-GS: Achieving Levels of Detail using Scalable Gaussian Soup
Jianxiong Shen, Yue Qian, Xiaohang Zhan
LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment
Juelin Zhu, Shuaibang Peng, Long Wang et al.
LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models
Haiwen Huang, Anpei Chen, Volodymyr Havrylov et al.
Logarithmic Regret for Online KL-Regularized Reinforcement Learning
Heyang Zhao, Chenlu Ye, Wei Xiong et al.
Logical Consistency of Large Language Models in Fact-Checking
Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat et al.
Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization
Arie Soeteman, Balder ten Cate
Logically Consistent Language Models via Neuro-Symbolic Integration
Diego Calanzone, Stefano Teso, Antonio Vergari
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
Anton Xue, Avishree Khare, Rajeev Alur et al.
Logic-Logit: A Logic-Based Approach to Choice Modeling
Shuhan Zhang, Wendi Ren, Shuang Li
Logic.py: Bridging the Gap between LLMs and Constraint Solvers
Pascal Kesseli, Peter O'Hearn, Ricardo Cabral
LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning
Peng Wu, Xiankai Lu, Hao Hu et al.
Login
I. Arce, Emiliano Kargieman, G. Richarte et al.
Logits are All We Need to Adapt Closed Models
Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee et al.
Logits DeConfusion with CLIP for Few-Shot Learning
Shuo Li, Fang Liu, Zehua Hao et al.
LOGO --- Long cOntext aliGnment via efficient preference Optimization
Zecheng Tang, Zechen Sun, Juntao Li et al.
LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds
Zihui Zhang, Weisheng Dai, Hongtao Wen et al.
LOIRE: LifelOng learning on Incremental data via pre-trained language model gRowth Efficiently
Xue Han, Yitong Wang, Junlan Feng et al.
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
Junyan Ye, Baichuan Zhou, Zilong Huang et al.
LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models
Xuan Cai, Renjie Pan, Hua Yang