All Papers
34,598 papers found • Page 561 of 692
Conference
Kernel-Based Evaluation of Conditional Biological Sequence Models
Pierre Glaser, Steffan Paul, Alissa M. Hummer et al.
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
Brian Cho, Yaroslav Mukhin, Kyra Gan et al.
Kernel Diffusion: An Alternate Approach to Blind Deconvolution
Yash Sanghvi, Yiheng Chi, Stanley Chan
Kernelised Normalising Flows
Eshant English, Matthias Kirchler, Christoph Lippert
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
Xu Cai, Jonathan Scarlett
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee et al.
Kernel Semi-Implicit Variational Inference
Ziheng Cheng, Longlin Yu, Tianyu Xie et al.
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki et al.
KernelWarehouse: Rethinking the Design of Dynamic Convolution
Chao Li, Anbang Yao
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
Kaituo Feng, Changsheng Li, Xiaolu Zhang et al.
KeypointDETR: An End-to-End 3D Keypoint Detector
Hairong Jin, Yuefan Shen, Jianwen Lou et al.
Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation
Xingyu Liu, Pengfei Ren, Yuanyuan Gao et al.
Keypoint Promptable Re-Identification
Vladimir Somers, Alexandre ALahi, Christophe De Vleeschouwer
KeyPoint Relative Position Encoding for Face Recognition
Minchul Kim, Feng Liu, Yiyang Su et al.
KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter
Yifan Zhan, Zhuoxiao Li, Muyao Niu et al.
KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding
Xiao Long, Liansheng Zhuang, Aodi Li et al.
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
Ruoqi Liu, Lingfei Wu, Ping Zhang
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
Zhen Chen, Dalin Zhang, Shanshan Feng et al.
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
Binwu Wang, Pengkun Wang, Wei Xu et al.
Kinetic Typography Diffusion Model
Seonmi Park, Inhwan Bae, Seunghyun Shin et al.
KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations
Longxin Kou, Fei Ni, Yan Zheng et al.
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran et al.
KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation
Fengyuan Yang, Kerui Gu, Angela Yao
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
Zirui Liu, Jiayi Yuan, Hongye Jin et al.
KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding
Zhihao Xu, Shengjie Gong, Jiapeng Tang et al.
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
Junnan Liu, Qianren Mao, Weifeng Jiang et al.
Knowledge-Aware Explainable Reciprocal Recommendation
Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai et al.
Knowledge-Aware Neuron Interpretation for Scene Classification
Yong Guan, Freddy Lecue, Jiaoyan Chen et al.
Knowledge-Aware Parameter Coaching for Personalized Federated Learning
Mingjian Zhi, Yuanguo Bi, Wenchao Xu et al.
Knowledge-aware Reinforced Language Models for Protein Directed Evolution
Yuhao Wang, Qiang Zhang, Ming Qin et al.
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
Shangbin Feng, Weijia Shi, Yuyang Bai et al.
Knowledge Distillation Based on Transformed Teacher Matching
Kaixiang Zheng, EN-HUI YANG
Knowledge Distillation with Auxiliary Variable
Bo Peng, zhen fang, Guangquan Zhang et al.
Knowledge-Enhanced Dual-stream Zero-shot Composed Image Retrieval
Yucheng Suo, Fan Ma, Linchao Zhu et al.
Knowledge-Enhanced Historical Document Segmentation and Recognition
En-Hao Gao, Yu-Xuan Huang, Wen-Chao Hu et al.
Knowledge Enhanced Representation Learning for Drug Discovery
Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martinez et al.
Knowledge-enhanced Visual-Language Pretraining for Computational Pathology
Xiao Zhou, Xiaoman Zhang, Chaoyi Wu et al.
Knowledge Fusion of Large Language Models
Fanqi Wan, Xinting Huang, Deng Cai et al.
Knowledge Graph Error Detection with Contrastive Confidence Adaption
Xiangyu Liu, Yang Liu, Wei Hu
Knowledge Graph Prompting for Multi-Document Question Answering
Yu Wang, Nedim Lipka, Ryan A. Rossi et al.
Knowledge Graphs Can be Learned with Just Intersection Features
Duy Le, Shaochen (Henry) Zhong, Zirui Liu et al.
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos
Shankhanil Mitra, Rajiv Soundararajan
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri et al.
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation
Tao Chen, Xiruo Jiang, Gensheng Pei et al.
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning
Rui Li, Tobias Fischer, Mattia Segu et al.
Koala: Key Frame-Conditioned Long Video-LLM
Reuben Tan, Ximeng Sun, Ping Hu et al.
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
Jifan Yu, Xiaozhi Wang, Shangqing Tu et al.
Koopman-based generalization bound: New aspect for full-rank weights
Yuka Hashimoto, Sho Sonoda, Isao Ishikawa et al.
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
Xichen Pan, Li Dong, Shaohan Huang et al.
KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking
Liu Liu, Anran Huang, Qi Wu et al.