Papers
11,015 papers found
Few-shot Backdoor Attacks via Neural Tangent Kernels
Jonathan Hayase, Sewoong Oh
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
Arnab Kumar Mondal, Piyush Tiwary, Parag Singla et al.
Few-Shot Domain Adaptation For End-to-End Communication
Jayaram Raghuram, Yijing Zeng, Dolores Garcia et al.
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Zhun Deng, Jiayao Zhang, Linjun Zhang et al.
FIGARO: Controllable Music Generation using Learned and Expert Features
Dimitri von Rütte, Luca Biggio, Yannic Kilcher et al.
Filter-Recovery Network for Multi-Speaker Audio-Visual Speech Separation
Haoyue Cheng, Zhaoyang Liu, Wayne Wu et al.
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
Takashi Matsubara, Takaharu Yaguchi
Finding Actual Descent Directions for Adversarial Training
Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi et al.
Finding the Global Semantic Representation in GAN through Fréchet Mean
Jaewoong Choi, Geonho Hwang, Hyunsoo Cho et al.
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
Kefan Dong, Tengyu Ma
Fisher-Legendre (FishLeg) optimization of deep neural networks
Jezabel R Garcia, Federica Freddi, Stathi Fotiadis et al.
FIT: A Metric for Model Sensitivity
Ben Zandonati, Adrian Alan Pol, Maurizio Pierini et al.
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
Aliaksandra Shysheya, John F Bronskill, Massimiliano Patacchiola et al.
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Kaiyuan Zhang, Guanhong Tao, Qiuling Xu et al.
Flow Annealed Importance Sampling Bootstrap
Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm et al.
Flow Matching for Generative Modeling
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu et al.
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu, Chengyue Gong, qiang liu
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
Zhou Xian, Bo Zhu, Zhenjia Xu et al.
Fooling SHAP with Stealthily Biased Sampling
gabriel laberge, Ulrich Aïvodji, Satoshi Hara et al.
Formal Mathematics Statement Curriculum Learning
Stanislas Polu, Jesse Michael Han, Kunhao Zheng et al.
Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
Zeyuan Allen-Zhu, Yuanzhi Li
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montufar
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
YiFan Zhang, xue wang, Jian Liang et al.
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang, Hao Chen, Qiang Heng et al.
From $t$-SNE to UMAP with contrastive learning
Sebastian Damrich, Niklas Böhm, Fred A Hamprecht et al.