Poster Papers
24,624 papers found • Page 398 of 493
Conference
JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention
Yuandong Tian, Yiping Wang, Zhenyu Zhang et al.
JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments
Duy Tho Le, Chenhui Gou, Stavya Datta et al.
JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups
Simindokht Jahangard, Zhixi Cai, Shiki Wen et al.
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Clément Bonnet, Daniel Luo, Donal Byrne et al.
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textit{Irreversibly}$ and $\textit{Monotonically}$ Impairs ``Difficult" Downstream Tasks in LLMs
Lu Yin, Ajay Jaiswal, Shiwei Liu et al.
Just Add ?! Pose Induced Video Transformers for Understanding Activities of Daily Living
Dominick Reilly, Srijan Das
Just a Hint: Point-Supervised Camouflaged Object Detection
Huafeng Chen, Dian SHAO, Guangqian Guo et al.
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations
Stefan Sylvius Wagner Martinez, Stefan Harmeling
Kalman Filter for Online Classification of Non-Stationary Data
Michalis Titsias, Alexandre Galashov, Amal Rannen-Triki et al.
Kalman-Inspired Feature Propagation for Video Face Super-Resolution
Ruicheng Feng, Chongyi Li, Chen Change Loy
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms
Joren Brunekreef, Eric Marcus, Ray Sheombarsing et al.
KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
Yu Wang, Xin Li, Shengzhao Wen et al.
KDProR: A Knowledge-Decoupling Probabilistic Framework for Video-Text Retrieval
Xianwei Zhuang, Hongxiang Li, Xuxin Cheng et al.
Kepler codebook
Junrong Lian, Ziyue Dong, Pengxu Wei et al.
Kernel Adaptive Convolution for Scene Text Detection via Distance Map Prediction
Jinzhi Zheng, Heng Fan, Libo Zhang
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
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 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.
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.
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 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 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 Graphs Can be Learned with Just Intersection Features
Duy Le, Shaochen (Henry) Zhong, Zirui Liu et al.
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.
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.
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
Hugues Thomas, Yao-Hung Hubert Tsai, Timothy Barfoot et al.
KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation
Ruida Zhang, Chenyangguang Zhang, Yan Di et al.