Papers
11,015 papers found
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models
Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu et al.
Incentive-Aware Federated Learning with Training-Time Model Rewards
Zhaoxuan Wu, Mohammad Mohammadi Amiri, Ramesh Raskar et al.
Incentivized Truthful Communication for Federated Bandits
Zhepei Wei, Chuanhao Li, Tianze Ren et al.
In-context Autoencoder for Context Compression in a Large Language Model
Tao Ge, Hu Jing, Lei Wang et al.
In-context Exploration-Exploitation for Reinforcement Learning
Zhenwen Dai, Federico Tomasi, Sina Ghiassian
In-Context Learning Dynamics with Random Binary Sequences
Eric J Bigelow, Ekdeep Singh Lubana, Robert P. Dick et al.
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
Jannik Kossen, Yarin Gal, Tom Rainforth
In-Context Learning through the Bayesian Prism
Madhur Panwar, Kabir Ahuja, Navin Goyal
In-Context Pretraining: Language Modeling Beyond Document Boundaries
Weijia Shi, Sewon Min, Maria Lomeli et al.
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Haobo SONG, Hao Zhao, Soumajit Majumder et al.
Incremental Randomized Smoothing Certification
Shubham Ugare, Tarun Suresh, Debangshu Banerjee et al.
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
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
Kuofeng Gao, Yang Bai, Jindong Gu et al.
Influencer Backdoor Attack on Semantic Segmentation
Haoheng Lan, Jindong Gu, Philip Torr 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
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
Ivan Butakov, Alexander Tolmachev, Sofia Malanchuk et al.
Information Retention via Learning Supplemental Features
Zhipeng Xie, Yahe Li
Inherently Interpretable Time Series Classification via Multiple Instance Learning
Joseph Early, Gavin Cheung, Kurt Cutajar et al.
Initializing Models with Larger Ones
Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov et al.
Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models
Shikun Sun, Longhui Wei, Zhicai Wang et al.
Input-gradient space particle inference for neural network ensembles
Trung Trinh, Markus Heinonen, Luigi Acerbi et al.
Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction
Renjie Pi, Lewei Yao, Jianhua Han et al.
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
Yanqi Bao, Tianyu Ding, Jing Huo et al.