All Papers
34,598 papers found • Page 556 of 692
Conference
Information-Directed Pessimism for Offline Reinforcement Learning
Alec Koppel, Sujay Bhatt, Jiacheng Guo et al.
Information Flow in Self-Supervised Learning
Zhiquan Tan, Jingqin Yang, Weiran Huang et al.
Information Retention via Learning Supplemental Features
Zhipeng Xie, Yahe Li
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems
Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran et al.
Infrared Adversarial Car Stickers
Xiaopei Zhu, Yuqiu Liu, Zhanhao Hu et al.
Infrared Small Target Detection with Scale and Location Sensitivity
Qiankun Liu, Rui Liu, Bolun Zheng et al.
In-Hand 3D Object Reconstruction from a Monocular RGB Video
Shijian Jiang, Qi Ye, Rengan Xie et al.
Inherently Interpretable Time Series Classification via Multiple Instance Learning
Joseph Early, Gavin Cheung, Kurt Cutajar et al.
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
Guanhua Zhang, Moritz Hardt
Initial Guessing Bias: How Untrained Networks Favor Some Classes
Emanuele Francazi, Aurelien Lucchi, Marco Baity-Jesi
Initialization Matters for Adversarial Transfer Learning
Andong Hua, Jindong Gu, Zhiyu Xue et al.
Initializing Models with Larger Ones
Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov et al.
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization
Xiefan Guo, Jinlin Liu, Miaomiao Cui et al.
Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning
Hao Jiang, Bingfeng Zhou, Yadong Mu
Inlier Confidence Calibration for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Xiaolong Fan et al.
Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models
Shikun Sun, Longhui Wei, Zhicai Wang et al.
InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree Neural Radiance Fields
Dongqing Wang, Tong Zhang, Alaa Abboud et al.
In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing
Yiran Xu, Zhixin Shu, Cameron Smith et al.
Input-gradient space particle inference for neural network ensembles
Trung Trinh, Markus Heinonen, Luigi Acerbi et al.
Input Margins Can Predict Generalization Too
Coenraad Mouton, Marthinus Wilhelmus Theunissen, Marelie H Davel
Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction
Renjie Pi, Lewei Yao, Jianhua Han et al.
In Search of a Data Transformation That Accelerates Neural Field Training
Junwon Seo, Sangyoon Lee, Kwang In Kim et al.
Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
Hoang-Quan Nguyen, Thanh-Dat Truong, Xuan-Bac Nguyen et al.
Insect Identification in the Wild: The AMI Dataset
Aditya Jain, Fagner Cunha, Michael J Bunsen et al.
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
Yanqi Bao, Tianyu Ding, Jing Huo et al.
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
Chao Chen, Kai Liu, Ze Chen et al.
Insights from the Use of Previously Unseen Neural Architecture Search Datasets
Rob Geada, David Towers, Matthew Forshaw et al.
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping
Zhenhua Xu, Kwan-Yee K. Wong, Hengshuang ZHAO
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks
Tong Wang, Yuan Yao, Feng Xu et al.
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Xingchao Liu, Xiwen Zhang, Jianzhu Ma et al.
InstaGen: Enhancing Object Detection by Training on Synthetic Dataset
Chengjian Feng, Yujie Zhong, Zequn Jie et al.
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Keming Lu, Hongyi Yuan, Zheng Yuan et al.
Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation
Xiao Lin, Wenfei Yang, Yuan Gao et al.
Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction
Mi-Gyeong Gwon, Gi-Mun Um, Won-Sik Cheong et al.
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation
Xiaohan Lei, Min Wang, Wengang Zhou et al.
Instance-Aware Group Quantization for Vision Transformers
Jaehyeon Moon, Dohyung Kim, Jun Yong Cheon et al.
Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning
Yang Jiao, Zequn Jie, Shaoxiang Chen et al.
Instance-based Max-margin for Practical Few-shot Recognition
Minghao Fu, Ke Zhu
Instance-Conditional Timescales of Decay for Nonstationary Learning
Nishant Jain, Pradeep Shenoy
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
Arpit Garg, Cuong Cao Nguyen, RAFAEL FELIX et al.
InstanceDiffusion: Instance-level Control for Image Generation
XuDong Wang, Trevor Darrell, Sai Saketh Rambhatla et al.
Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation
Shenshen Bu, Taiji Li, Zhiming Dai et al.
Instance Tracking in 3D Scenes from Egocentric Videos
Yunhan Zhao, Haoyu Ma, Shu Kong et al.
Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model
Jiahao Li, Hao Tan, Kai Zhang et al.
Instant 3D Human Avatar Generation using Image Diffusion Models
Nikos Kolotouros, Thiemo Alldieck, Enric Corona et al.
Instantaneous Perception of Moving Objects in 3D
Di Liu, Bingbing Zhuang, Dimitris N. Metaxas et al.
InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning
Jing Shi, Wei Xiong, Zhe Lin et al.
Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator
Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi et al.
InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser
Xing Cui, Zekun Li, Peipei Li et al.
Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion
Linzhan Mou, Jun-Kun Chen, Yu-Xiong Wang