Poster Papers
24,624 papers found • Page 119 of 493
Conference
GLNCD: Graph-Level Novel Category Discovery
Bowen Deng, Lele Fu, Sheng Huang et al.
Global and Local Entailment Learning for Natural World Imagery
Srikumar Sastry, Aayush Dhakal, Eric Xing et al.
Global-Aware Monocular Semantic Scene Completion with State Space Models
Shijie Li, Zhongyao Cheng, Rong Li et al.
Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
Yunhak Oh, Junseok Lee, Yeongmin Kim et al.
Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization
Zixiang Chen, Greg Yang, Qingyue Zhao et al.
Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
Yang Xu, Swetha Ganesh, Washim Mondal et al.
Global Convergence in Neural ODEs: Impact of Activation Functions
Tianxiang Gao, Siyuan Sun, Hailiang Liu et al.
Global Convergence of Policy Gradient in Average Reward MDPs
Navdeep Kumar, Yashaswini Murthy, Itai Shufaro et al.
Global curvature for second-order optimization of neural networks
Alberto Bernacchia
Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
Yuchen Sun, Kejun Huang
Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
Arhit Chakrabarti, Yang Ni, Debdeep Pati et al.
Global-Local Tree Search in VLMs for 3D Indoor Scene Generation
Wei Deng, Mengshi Qi, Huadong Ma
Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies
Vipul Sharma, Wesley Suttle, S Sivaranjani
Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks
Julia Nakhleh, Robert Nowak
Global Minimizers of Sigmoid Contrastive Loss
Kiril Bangachev, Guy Bresler, Iliyas Noman et al.
Global Motion Corresponder for 3D Point-Based Scene Interpolation under Large Motion
Junru Lin, Chirag Vashist, Mikaela Uy et al.
Global Optimization with a Power-Transformed Objective and Gaussian Smoothing
Chen Xu
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
Zhuang Qi, Yu Pan, Lei Meng et al.
Global Regulation and Excitation via Attention Tuning for Stereo Matching
Jiahao LI, Xinhong Chen, Zhengmin JIANG et al.
GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI
Shiqian Li, Zhi Li, Zhancun Mu et al.
Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
Connor Mooney, Zhongjian Wang, Jack Xin et al.
GloPER: Unsupervised Animal Pattern Extraction from Local Reconstruction
Bowen Chen, Yun Sing Koh, Gillian Dobbie
GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
Dongzhuoran Zhou, Evgeny Kharlamov, Egor Kostylev
GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
Seongheon Park, Sharon Li
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation
Lang Lin, Xueyang Yu, Ziqi Pang et al.
GLVD: Guided Learned Vertex Descent
Pol Caselles RIco, Francesc Moreno-Noguer
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
Minghao Xu, Yunteng Geng, Yihang Zhang et al.
GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing
Tong Wang, Ting Liu, Xiaochao Qu et al.
GMMamba: Group Masking Mamba for Whole Slide Image Classification
Tingting Zheng, Hongxun Yao, Kui Jiang et al.
GMM-based VAE model with Normalising Flow for effective stochastic segmentation
Conghui Li, Chern Hong Lim, Xin Wang
GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts
Minwen Liao, Hao Dong, Xinyi Wang et al.
GMValuator: Similarity-based Data Valuation for Generative Models
Jiaxi Yang, Wenlong Deng, Benlin Liu et al.
GMV: A Unified and Efficient Graph Multi-View Learning Framework
Qipeng zhu, Jie Chen, Jian Pu et al.
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks
Alireza Aghasi, Nicholas F. Marshall, Saeid Pourmand et al.
GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
Shaobo Wang, Hongxuan Tang, Mingyang Wang et al.
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulić, Sofia Michel, Jean-Marc Andreoli
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving
Zebin Xing, Xingyu Zhang, Yang Hu et al.
GOAL: Global-local Object Alignment Learning
Hyungyu Choi, Young Kyun Jang, Chanho Eom
GoalLadder: Incremental Goal Discovery with Vision-Language Models
Alexey Zakharov, Shimon Whiteson
Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
Jinmin He, Kai Li, Yifan Zang et al.
GOATex: Geometry & Occlusion-Aware Texturing
Hyunjin Kim, Kunho Kim, Adam Lee et al.
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong, Jiarui Feng, Hao Liu et al.
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
Xinhao Zhong, Bin Chen, Hao Fang et al.
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
Muleilan Pei, Shaoshuai Shi, Lu Zhang et al.
Golden Cudgel Network for Real-Time Semantic Segmentation
Guoyu Yang, Yuan Wang, Daming Shi et al.
Golden Noise for Diffusion Models: A Learning Framework
zikai zhou, Shitong Shao, Lichen Bai et al.
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang, Ruihong Qiu, Guangdong Bai et al.
GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
You Wang, Li Fang, Hao Zhu et al.
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
Indrashis Das, Mahmoud Safari, Steven Adriaensen et al.