Papers
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
Senmao Li, Taihang Hu, Joost van de Weijer et al.
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
Jingfeng Yao, Cheng Wang, Wenyu Liu et al.
Faster Local Solvers for Graph Diffusion Equations
Jiahe Bai, Baojian Zhou, Deqing Yang et al.
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
Ali Hassani, Wen-mei Hwu, Humphrey Shi
Faster Repeated Evasion Attacks in Tree Ensembles
Lorenzo Cascioli, Laurens Devos, Ondrej Kuzelka et al.
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
Yihong Luo, Yuhan Chen, Siya Qiu et al.
Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations
Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai et al.
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
Yang Cai, Gabriele Farina, Julien Grand-Clément et al.
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
Xiaobao Wu, Thong Nguyen, Delvin Ce Zhang et al.
Fast Proxy Experiment Design for Causal Effect Identification
Sepehr Elahi, Sina Akbari, Jalal Etesami et al.
Fast Rates for Bandit PAC Multiclass Classification
Liad Erez, Alon Cohen, Tomer Koren et al.
Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets
Taira Tsuchiya, Shinji Ito
Fast samplers for Inverse Problems in Iterative Refinement models
Kushagra Pandey, Ruihan Yang, Stephan Mandt
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
Zixiang Chen, Huizhuo Yuan, Yongqian Li et al.
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
Jiachang Liu, Rui Zhang, Cynthia Rudin
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Yang Li, Jinpei Guo, Runzhong Wang et al.
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Aneesh Muppidi, Zhiyu Zhang, Heng Yang
Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
Krzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury et al.
Fast yet Safe: Early-Exiting with Risk Control
Metod Jazbec, Alexander Timans, Tin Hadži Veljković et al.
Fearless Stochasticity in Expectation Propagation
Jonathan So, Richard E. Turner
Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification
Xi Yang, Huanling liu, De Cheng et al.
FedAvP: Augment Local Data via Shared Policy in Federated Learning
Minui Hong, Junhyeog Yun, Insu Jeon et al.
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Dario Fenoglio, Gabriele Dominici, Pietro Barbiero et al.
Federated Black-Box Adaptation for Semantic Segmentation
Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula et al.
Federated Ensemble-Directed Offline Reinforcement Learning
Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil et al.