Paper Papers

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

Lyudong Jin, Ming Tang, Meng Zhang et al.

Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields

FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection

Chanho Lee, Jinsu Son, Hyounguk Shon et al.

Frequency-Adaptive Pan-Sharpening with Mixture of Experts

Xuanhua He, Keyu Yan, Rui Li et al.

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Domain Learning

Chuangchuang Tan, Yao Zhao, Shikui Wei et al.

Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation

Xiang Gao, Zhengbo Xu, junhan Zhao et al.

Frequency Shuffling and Enhancement for Open Set Recognition

Lijun Liu, Rui Wang, Yuan Wang et al.

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector

An Lao, Qi Zhang, Chongyang Shi et al.

Friendly Attacks to Improve Channel Coding Reliability

Anastasiia Kurmukova, Deniz Gunduz

FRIH: Fine-Grained Region-Aware Image Harmonization

Jinlong Peng, Zekun Luo, Liang Liu et al.

From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation

Xinhao Chen, Chong Yang, Changzhi Sun et al.

From GARCH to Neural Network for Volatility Forecast

Pengfei Zhao, Haoren ZHU, Wilfred Ng et al.

From Past to Future: Rethinking Eligibility Traces

Dhawal Gupta, Scott Jordan, Shreyas Chaudhari et al.

From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue

From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks

Xianda Zhang, Baolin Zheng, Jianbao Hu et al.

Frozen CLIP Transformer Is an Efficient Point Cloud Encoder

Xiaoshui Huang, Zhou Huang, Sheng Li et al.

Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning

Subhabrata Dutta, Ishan Pandey, Joykirat Singh et al.

FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis

Meizhen Zheng, Peng Bai, Xiaodong Shi et al.

Full Bayesian Significance Testing via Neural Networks

Zehua Liu, Zimeng Li, Jingyuan Wang et al.

Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective

Feiyu Yao, Zongkai Wu, Li Yi

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data

Yucheng Wang, Yuecong Xu, Jianfei Yang et al.

Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation

Jing Li, Junsong Fan, Yuran Yang et al.

Fusing Conditional Submodular GAN and Programmatic Weak Supervision

Kumar Shubham, Pranav Sastry, AP Prathosh

FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation

Yanlu Cai, Weizhong Zhang, Yuan Wu et al.

Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement

Chengjie Ge, Xueyang Fu, Peng He et al.

G2L-CariGAN: Caricature Generation from Global Structure to Local Features

Xin Huang, Yunfeng Bai, Dong Liang et al.

G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model

Pan Xie, Qipeng Zhang, Peng Taiying et al.

G2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection

Authors: Yiwei Wei, Shaozu Yuan, Hengyang Zhou et al.

G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks

Anchun Gui, Jinqiang Ye, Han Xiao

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework

Fangyikang Wang, Huminhao Zhu, Chao Zhang et al.

GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking

Shu Yin, Peican Zhu, Lianwei Wu et al.

Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks

Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou et al.

Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding

Gaussian Process Neural Additive Models

Wei Zhang, Brian Barr, John Paisley

Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process

Mingjie Xu, Feng Lu

Gaze Target Detection by Merging Human Attention and Activity Cues

Yaokun Yang, Yihan Yin, Feng Lu

GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction

Xinshun Wang, Qiongjie Cui, Chen Chen et al.

Generalisation through Negation and Predicate Invention

David M. Cerna, Andrew Cropper

Generalising Planning Environment Redesign

Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo

Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation

Huihui Song, Tiankang Su, Yuhui Zheng et al.

Generalizable Sleep Staging via Multi-Level Domain Alignment

Jiquan Wang, Sha Zhao, Haiteng Jiang et al.

Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations

Renzhe Zhou, Chen-Xiao Gao, Zongzhang Zhang et al.

Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure

Xinying Zou, Samir Perlaza, Inaki Esnaola et al.

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

Julien Fageot, Lê-Nguyên Hoang, Oscar Villemaud et al.

Generalized Planning for the Abstraction and Reasoning Corpus

Chao Lei, Nir Lipovetzky, Krista A. Ehinger

Generalized Planning in PDDL Domains with Pretrained Large Language Models

Tom Silver, Soham Dan, Kavitha Srinivas et al.

Generalized Variational Inference via Optimal Transport

Jinjin Chi, Zhichao Zhang, Zhiyao Yang et al.

Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction

Jian Zhu, Congcong Liu, Xue Jiang et al.

Generalizing across Temporal Domains with Koopman Operators

QIUHAO Zeng, Wei Wang, Fan Zhou et al.

Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection

Songmin Dai, Yifan Wu, Xiaoqiang Li et al.