Papers
Fast Neural Kernel Embeddings for General Activations
Insu Han, Amir Zandieh, Jaehoon Lee et al.
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
Benjamin Dubois-Taine, Francis R. Bach, Quentin Berthet et al.
Fast Vision Transformers with HiLo Attention
Zizheng Pan, Jianfei Cai, Bohan Zhuang
Fault-Aware Neural Code Rankers
Jeevana Priya Inala, Chenglong Wang, Mei Yang et al.
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity
Arthur Jacot, Eugene Golikov, Clement Hongler et al.
Feature-Proxy Transformer for Few-Shot Segmentation
Jian-Wei Zhang, Yifan Sun, Yi Yang et al.
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
Liam Collins, Hamed Hassani, Aryan Mokhtari et al.
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Yue Tan, Guodong Long, Jie Ma et al.
Federated Submodel Optimization for Hot and Cold Data Features
Yucheng Ding, Chaoyue Niu, Fan Wu et al.
FedPop: A Bayesian Approach for Personalised Federated Learning
Nikita Kotelevskii, Maxime Vono, Alain Durmus et al.
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Samiul Alam, Luyang Liu, Ming Yan et al.
FedSR: A Simple and Effective Domain Generalization Method for Federated Learning
A. Tuan Nguyen, Philip Torr, Ser Nam Lim
FeLMi : Few shot Learning with hard Mixup
Aniket Roy, Anshul Shah, Ketul Shah et al.
FETA: Towards Specializing Foundational Models for Expert Task Applications
Amit Alfassy, Assaf Arbelle, Oshri Halimi et al.
Few-Shot Audio-Visual Learning of Environment Acoustics
Sagnik Majumder, Changan Chen, Ziad Al-Halah et al.
Few-Shot Continual Active Learning by a Robot
Ali Ayub, Carter Fendley
Few-Shot Fast-Adaptive Anomaly Detection
Ze Wang, Yipin Zhou, Rui Wang et al.
Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh et al.
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion
Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida et al.
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
Zhiying Jiang, Yiqin Dai, Ji Xin et al.
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu, Derek Tam, Mohammed Muqeeth et al.
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Qian Huang, Hongyu Ren, Jure Leskovec
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
Dongkuan (DK) Xu, Subhabrata Mukherjee, Xiaodong Liu et al.
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz et al.
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou, Ziqing MA, xue wang et al.