Papers
Few-Shot Diffusion Models Escape the Curse of Dimensionality
Ruofeng Yang, Bo Jiang, Cheng Chen et al.
Few-Shot Task Learning through Inverse Generative Modeling
Aviv Netanyahu, Yilun Du, Antonia Bronars et al.
FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training
Ruihong Yin, Vladimir Yugay, Yue Li et al.
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
Shuai Liu, Boyang Li, Zhiyu Fang et al.
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
Feijie Wu, Xingchen Wang, Yaqing Wang et al.
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
FIFO-Diffusion: Generating Infinite Videos from Text without Training
Jihwan Kim, Junoh Kang, Jinyoung Choi et al.
Fight Back Against Jailbreaking via Prompt Adversarial Tuning
Yichuan Mo, Yuji Wang, Zeming Wei et al.
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
Kun Yi, Jingru Fei, Qi Zhang et al.
FINALLY: fast and universal speech enhancement with studio-like quality
Nicholas Babaev, Kirill Tamogashev, Azat Saginbaev et al.
FinBen: A Holistic Financial Benchmark for Large Language Models
Qianqian Xie, Weiguang Han, Zhengyu Chen et al.
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
Yangyang Yu, Zhiyuan Yao, Haohang Li et al.
FindingEmo: An Image Dataset for Emotion Recognition in the Wild
Laurent Mertens, Elahe' Yargholi, Hans Op de Beeck et al.
Finding good policies in average-reward Markov Decision Processes without prior knowledge
Adrienne Tuynman, Rémy Degenne, Emilie Kaufmann
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
Dominik Hintersdorf, Lukas Struppek, Kristian Kersting et al.
Finding Transformer Circuits With Edge Pruning
Adithya Bhaskar, Alexander Wettig, Dan Friedman et al.
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding
Dong Jing, Xiaolong He, Yutian Luo et al.
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
Yingcong Li, Ankit Singh Rawat, Samet Oymak
Fine-grained Control of Generative Data Augmentation in IoT Sensing
Tianshi Wang, Qikai Yang, Ruijie Wang et al.
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random
Mingming Ha, Xuewen Tao, Wenfang Lin et al.
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
Yifan Zhang, Junhui Hou
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
Gong Zhang, Kihyuk Sohn, Meera Hahn et al.
Fine-Tuning is Fine, if Calibrated
Zheda Mai, Arpita Chowdhury, Ping Zhang et al.
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
Yuexiang Zhai, Hao Bai, Zipeng Lin et al.
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination
Ruochen Liu, Hao Chen, Yuanchen Bei et al.