Papers
11,955 papers found
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
Reza Esfandiarpoor, Stephen Bach
Form and Function in Prosodic Representation: In the Case of 'ma' in Tianjin Mandarin
Tianqi Geng, Hui Feng
Forward $\chi^2$ Divergence Based Variational Importance Sampling
Chengrui Li, Yule Wang, Weihan Li et al.
Forward Learning of Graph Neural Networks
Namyong Park, Xing Wang, Antoine Simoulin et al.
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
Ravi Francesco Srinivasan, Francesca Mignacco, Martino Sorbaro et al.
FOSI: Hybrid First and Second Order Optimization
Hadar Sivan, Moshe Gabel, Assaf Schuster
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Peiyan Zhang, Haoyang Liu, Chaozhuo Li et al.
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
Haojie Huang, Owen Lewis Howell, Dian Wang et al.
FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction
Yuxing Tian, Yiyan Qi, Fan Guo
Free-Editor: Zero-shot Text-driven 3D Scene Editing
Nazmul Karim, Hasan Iqbal, Umar Khalid et al.
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Zhaoyi Zhou, Chuning Zhu, Runlong Zhou et al.
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
Haonan Qiu, Menghan Xia, Yong Zhang et al.
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
Haiping Wang, Yuan Liu, Bing WANG et al.
Frequency-Aware Transformer for Learned Image Compression
Han Li, Shaohui Li, Wenrui Dai et al.
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
Irene Cannistraci, Luca Moschella, Marco Fumero et al.
From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
Yanbang Wang, Jon Kleinberg
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
Claudio Battiloro, Indro Spinelli, Lev Telyatnikov et al.
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
Mohammad Pedramfar, Vaneet Aggarwal
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
Nima Shoghi, Adeesh Kolluru, John R. Kitchin et al.
From Posterior Sampling to Meaningful Diversity in Image Restoration
Noa Cohen, Hila Manor, Yuval Bahat et al.
From Sparse to Soft Mixtures of Experts
Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa et al.
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
Marten Lienen, David Lüdke, Jan Hansen-Palmus et al.
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning
Oscar Skean, Aayush Dhakal, Nathan Jacobs et al.
FROSTER: Frozen CLIP is A Strong Teacher for Open-Vocabulary Action Recognition
Xiaohu Huang, Hao Zhou, Kun Yao et al.
Frozen Transformers in Language Models Are Effective Visual Encoder Layers
Ziqi Pang, Ziyang Xie, Yunze Man et al.