Papers
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc et al.
Flare7K: A Phenomenological Nighttime Flare Removal Dataset
Yuekun Dai, Chongyi Li, Shangchen Zhou et al.
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Tri Dao, Dan Fu, Stefano Ermon et al.
Flexible Diffusion Modeling of Long Videos
William Harvey, Saeid Naderiparizi, Vaden Masrani et al.
Flexible Neural Image Compression via Code Editing
Chenjian Gao, Tongda Xu, Dailan He et al.
FlowHMM: Flow-based continuous hidden Markov models
Pawel Lorek, Rafal Nowak, Tomasz Trzcinski et al.
Flowification: Everything is a normalizing flow
Bálint Máté, Samuel Klein, Tobias Golling et al.
FlyView: a bio-informed optical flow truth dataset for visual navigation using panoramic stereo vision
Alix Leroy, Graham W. Taylor
FNeVR: Neural Volume Rendering for Face Animation
Bohan Zeng, Boyu Liu, Hong Li et al.
Focal Modulation Networks
Jianwei Yang, Chunyuan Li, Xiyang Dai et al.
FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction
Qiao Feng, Yebin Liu, Yu-Kun Lai et al.
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback
Yan Dai, Haipeng Luo, Liyu Chen
Forecasting Future World Events With Neural Networks
Andy Zou, Tristan Xiao, Ryan Jia et al.
Forecasting Human Trajectory from Scene History
Mancheng Meng, Ziyan Wu, Terrence Chen et al.
Formalizing Consistency and Coherence of Representation Learning
Harald Strömfelt, Luke Dickens, Artur Garcez et al.
Formulating Robustness Against Unforeseen Attacks
Sihui Dai, Saeed Mahloujifar, Prateek Mittal
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains
Nicolai Engelmann, Heinz Koeppl
Foundation Posteriors for Approximate Probabilistic Inference
Mike Wu, Noah Goodman
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem
Tan Nguyen, Minh Pham, Tam Nguyen et al.
FourierNets enable the design of highly non-local optical encoders for computational imaging
Diptodip Deb, Zhenfei Jiao, Ruth Sims et al.
FP8 Quantization: The Power of the Exponent
Andrey Kuzmin, Mart van Baalen, Yuwei Ren et al.
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Lior Danon, Dan Garber
Free Probability for predicting the performance of feed-forward fully connected neural networks
Reda CHHAIBI, Tariq Daouda, Ezechiel Kahn
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
mengping yang, Zhe Wang, Ziqiu Chi et al.
FR: Folded Rationalization with a Unified Encoder
Wei Liu, Haozhao Wang, Jun Wang et al.