Poster Papers
24,624 papers found • Page 394 of 493
Conference
Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach
Darya Biparva, Donatello Materassi
Incorporating probabilistic domain knowledge into deep multiple instance learning
Ghadi S. Al Hajj, Aliaksandr Hubin, Chakravarthi Kanduri et al.
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Haobo Song, Haobo SONG, Hao Zhao et al.
Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation
Huyong Wang, Huisi Wu, Jing Qin
Incremental Randomized Smoothing Certification
Shubham Dipak Ugare, Tarun Suresh, Debangshu Banerjee et al.
Incremental Residual Concept Bottleneck Models
Chenming Shang, Shiji Zhou, Hengyuan Zhang et al.
Incremental Topological Ordering and Cycle Detection with Predictions
Samuel McCauley, Benjamin Moseley, Aidin Niaparast et al.
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation
Dahyun Kang, Minsu Cho
In defense of parameter sharing for model-compression
Aditya Desai, Anshumali Shrivastava
Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference
Chencheng Cai, Xu Zhang, Edoardo Airoldi
Indirectly Parameterized Concrete Autoencoders
Alfred Nilsson, Klas Wijk, Sai bharath chandra Gutha et al.
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification
Jinseong Park, Yujin Choi, Jaewook Lee
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
Xinran Li, Zifan LIU, Shibo Chen et al.
Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
Badih Ghazi, Pritish Kamath, Ravi Kumar et al.
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
Tom Fischer, Yaoyao Liu, Artur Jesslen et al.
Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints
Oscar Smee, Fred Roosta
Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer.
Zhuoyi Yang, Heyang Jiang, Wenyi Hong et al.
InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
Reyna Abhyankar, Zijian He, Vikranth Srivatsa et al.
Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Segmentation
Jiafan Zhuang, Zilei Wang, Yixin Zhang et al.
Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing
Gabriel Arpino, Xiaoqi Liu, Ramji Venkataramanan
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
Serina Chang, Frederic Koehler, Zhaonan Qu et al.
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
Allen Tran, Aurelien Bibaut, Nathan Kallus
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
Xueyu Hu, Ziyu Zhao, Shuang Wei et al.
Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation
Alexander Raistrick, Lingjie Mei, Karhan Kayan et al.
Infinite-Horizon Distributionally Robust Regret-Optimal Control
Taylan Kargin, Joudi Hajar, Vikrant Malik et al.
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm
Yi Wu, Ziqiang Li, Heliang Zheng et al.
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
Yan-Shuo Liang, Wu-Jun Li
InfMAE: A Foundation Model in The Infrared Modality
Fangcen liu, Chenqiang Gao, Yaming Zhang et al.
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Ziheng Qin, Kai Wang, Zangwei Zheng et al.
InfoCon: Concept Discovery with Generative and Discriminative Informativeness
Ruizhe Liu, Qian Luo, Yanchao Yang
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
Zhengyang Hu, Song Kang, Qunsong Zeng et al.
InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction
Xulong Wang, Siyan Dong, Youyi Zheng et al.
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
Ivan Butakov, Aleksandr Tolmachev, Sofia Malanchuk et al.
Information Bottleneck Based Data Correction in Continual Learning
Shuai Chen, mingyi zhang, Junge Zhang et al.
Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing
Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam et al.
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.
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.
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.
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.
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 Identification in the Wild: The AMI Dataset
Aditya Jain, Fagner Cunha, Michael J Bunsen et al.