Poster Papers
24,624 papers found • Page 146 of 493
Conference
K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
Hideaki Kim, Tomoharu Iwata, Akinori Fujino
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
Taoran Fang, Tianhong Gao, Chunping Wang et al.
KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems
Jusheng Zhang, Zimeng Huang, Yijia Fan et al.
KAIROS: Scalable Model-Agnostic Data Valuation
Jiongli Zhu, Parjanya Prashant, Alex Cloninger et al.
KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
Quan Zhou, Changhua Pei, Fei Sun et al.
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
Konstantina Bairaktari, Jiayun Wu, Steven Wu
KAN: Kolmogorov–Arnold Networks
Ziming Liu, Yixuan Wang, Sachin Vaidya et al.
Kaputt: A Large-Scale Dataset for Visual Defect Detection
Sebastian Höfer, Dorian Henning, Artemij Amiranashvili et al.
KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing
Wudi Chen, Zhiyuan Zha, Shigang Wang et al.
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
Fan Wang, Juyong Jiang, Chansung Park et al.
KBLaM: Knowledge Base augmented Language Model
Xi Wang, Taketomo Isazawa, Liana Mikaelyan et al.
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
Haoran Luo, Haihong E, Yikai Guo et al.
KDA: Knowledge Diffusion Alignment with Enhanced Context for Video Temporal Grounding
Ran Ran, Jiwei Wei, Shiyuan He et al.
K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling
Yongrui Chen, Yi Huang, Yunchang Liu et al.
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies
Shih-Min Yang, Martin Magnusson, Johannes Stork et al.
KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration
Dengwei Zhao, Shikui Tu, Yanan Sun et al.
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
Jie Ren, Zhenwei Dai, Xianfeng Tang et al.
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
Yaxin Hou, Bo Han, Yuheng Jia et al.
Keep the Balance: A Parameter-Efficient Symmetrical Framework for RGB+X Semantic Segmentation
Jiaxin Cai, Jingze Su, Qi Li et al.
Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation
Haochen Zhao, Jianwei Niu, Xuefeng Liu et al.
Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
Yijin Ni, Xiaoming Huo
Kernel-based Optimally Weighted Conformal Time-Series Prediction
Jonghyeok Lee, Chen Xu, Yao Xie
Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
Shizhan Gong, Yankai Jiang, DOU QI et al.
KernelBench: Can LLMs Write Efficient GPU Kernels?
Anne Ouyang, Simon Guo, Simran Arora et al.
Kernel conditional tests from learning-theoretic bounds
Pierre-François Massiani, Christian Fiedler, Lukas Haverbeck et al.
Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
Yuyang Hu, Kangfu Mei, Mojtaba Ardakani et al.
Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
Antonio Ribeiro, David Vävinggren, Dave Zachariah et al.
Kernel Quantile Embeddings and Associated Probability Metrics
Masha Naslidnyk, Siu Lun Chau, Francois-Xavier Briol et al.
Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
Dechen Zhang, Zhenmei Shi, Zhang et al.
Kernel von Mises Formula of the Influence Function
Yaroslav Mukhin
Kestrel: 3D Multimodal LLM for Part-Aware Grounded Description
Mahmoud Ahmed, Junjie Fei, Jian Ding et al.
KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments
Junyoung Park, Dalton Jones, Matthew Morse et al.
KeyFace: Expressive Audio-Driven Facial Animation for Long Sequences via KeyFrame Interpolation
Antoni Bigata Casademunt, Michał Stypułkowski, Rodrigo Mira et al.
Keyframe-Guided Creative Video Inpainting
Yuwei Guo, Ceyuan Yang, Anyi Rao et al.
Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing
Yudong Liu, Jingwei Sun, Yueqian Lin et al.
KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
Xiaorui Su, Yibo Wang, Shanghua Gao et al.
KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
Belinda Mo, Kyssen Yu, Joshua Kazdan et al.
K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models
Jaehyung Seo, Heuiseok Lim
Kinaema: a recurrent sequence model for memory and pose in motion
Mert Bulent Sariyildiz, Philippe Weinzaepfel, Guillaume Bono et al.
KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
Benson Chen, Tomasz Danel, Gabriel Dreiman et al.
KIND: Knowledge Integration and Diversion for Training Decomposable Models
Yucheng Xie, Fu Feng, Ruixiao Shi et al.
Kinetic Langevin Diffusion for Crystalline Materials Generation
François Cornet, Federico Bergamin, Arghya Bhowmik et al.
Kinetics: Rethinking Test-Time Scaling Law
Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng et al.
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Michael Matthews, Michael Beukman, Chris Lu et al.
KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics
Jindou Chen, Jidong Tian, Liang Wu et al.
KinMo: Kinematic-aware Human Motion Understanding and Generation
Pengfei Zhang, Pinxin Liu, Pablo Garrido et al.
KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks
Dominik Scheuer, Frederic Runge, Jörg Franke et al.
Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation
Jiantao Lin, Xin Yang, Meixi Chen et al.
KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models
Eunice Yiu, Maan Qraitem, Anisa Majhi et al.
KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI
Jaron Maene, Vincent Derkinderen, Pedro Zuidberg Dos Martires