Papers
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
Stratis Tsirtsis, Manuel Rodriguez
Finding Local Minima Efficiently in Decentralized Optimization
Wenhan Xian, Heng Huang
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
Berken Utku Demirel, Christian Holz
Finding Safe Zones of Markov Decision Processes Policies
Lee Cohen, Yishay Mansour, Michal Moshkovitz
Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation
Hongcheng Wang, Andy Guan Hong Chen, Xiaoqi Li et al.
Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
Xiaolong Wang, Runsen Xu, Zhuofan Cui et al.
Fine-grained Expressivity of Graph Neural Networks
Jan Böker, Ron Levie, Ningyuan Huang et al.
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Zeqiu Wu, Yushi Hu, Weijia Shi et al.
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
Weizhe Lin, Jinghong Chen, Jingbiao Mei et al.
Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization
Jun Chen, Hong Chen, Bin Gu et al.
Fine-Grained Visual Prompting
Lingfeng Yang, Yueze Wang, Xiang Li et al.
FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
Mingyuan Zhang, Huirong Li, Zhongang Cai et al.
Fine-Tuning Language Models with Just Forward Passes
Sadhika Malladi, Tianyu Gao, Eshaan Nichani et al.
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
Mehrdad Ghadiri, David Arbour, Tung Mai et al.
Finite-Time Analysis of Single-Timescale Actor-Critic
Xuyang Chen, Lin Zhao
Finite-Time Logarithmic Bayes Regret Upper Bounds
Alexia Atsidakou, Branislav Kveton, Sumeet Katariya et al.
FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression
Youguang Chen, George Biros
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
Julia Olkhovskaya, Jack Mayo, Tim van Erven et al.
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities
Aleksandr Beznosikov, Sergey Samsonov, Marina Sheshukova et al.
First Order Stochastic Optimization with Oblivious Noise
Ilias Diakonikolas, Sushrut Karmalkar, Jong Ho Park et al.
Fitting trees to $\ell_1$-hyperbolic distances
Joon-Hyeok Yim, Anna Gilbert
Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs
Rajat Vadiraj Dwaraknath, Tolga Ergen, Mert Pilanci
FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery
Anatol Garioud, Nicolas Gonthier, Loic Landrieu et al.
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
Zhuo Huang, Li Shen, Jun Yu et al.