Paper Papers

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark

Sen Pei, Shixiong Xu, Xiaojie Jin

Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective

Wanying Wang, Yichen Zhu, Yirui Zhou et al.

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations

Likang Wu, Zhaopeng Qiu, Zhi Zheng et al.

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models

Mingzhao Yang, Shangchao Su, Bin Li et al.

Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation

Zhewei Yao, Xiaoxia Wu, Cheng Li et al.

Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection

Weibo Jiang, Weihong Ren, Jiandong Tian et al.

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Senqiao Yang, Jiarui Wu, Jiaming Liu et al.

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation

Matthieu Lin, Jenny Sheng, Yubin Hu et al.

Exploring Transformer Extrapolation

Zhen Qin, Yiran Zhong, Hui Deng

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks

Hao-Kai Zhang, Chengkai Zhu, Geng Liu et al.

Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection

Zhongjie Ba, Qingyu Liu, Zhenguang Liu et al.

Expressive Forecasting of 3D Whole-Body Human Motions

Pengxiang Ding, Qiongjie Cui, Haofan Wang et al.

Expressive Multi-Agent Communication via Identity-Aware Learning

Wei Du, Shifei Ding, Lili Guo et al.

F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis

Sitong Su, Jianzhi Liu, Lianli Gao et al.

FaceCoresetNet: Differentiable Coresets for Face Set Recognition

Gil Shapira, Yosi Keller

FaceRSA: RSA-Aware Facial Identity Cryptography Framework

Zhongyi Zhang, Tianyi Wei, Wenbo Zhou et al.

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System

Yongsen Zheng, Ziliang Chen, Jinghui Qin et al.

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Fact-Driven Logical Reasoning for Machine Reading Comprehension

Siru Ouyang, Zhuosheng Zhang, Hai Zhao

Factored Online Planning in Many-Agent POMDPs

Maris Galesloot, Thiago Simão, Sebastian Junges et al.

Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning

Ancong Wu, Wei-shi Zheng

Factorized Explainer for Graph Neural Networks

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam et al.

Fairness without Demographics through Shared Latent Space-Based Debiasing

Rashidul Islam, Huiyuan Chen, Yiwei Cai

Fair Participation via Sequential Policies

Reilly Raab, Ross Boczar, Maryam Fazel et al.

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization

Cheng Yang, Jixi Liu, Yunhe Yan et al.

FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning

Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl et al.

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing

Zikai Xiong, Niccolo Dalmasso, Alan Mishler et al.

Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals

Patrick Altmeyer, Mojtaba Farmanbar, Arie Van Deursen et al.

Far3D: Expanding the Horizon for Surround

View 3D Object Detection

FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval

Yanzhe Chen, Huasong Zhong, Xiangteng He et al.

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes

Ruihao Gong, Yang Yong, Zining Wang et al.

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization

Jin Liu, Xiaokang Pan, Junwen Duan et al.

Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement

Wang Liu, Wei Gao, Xingming Mu

Fast Machine Unlearning without Retraining through Selective Synaptic Dampening

Jack Foster, Stefan Schoepf, Alexandra Brintrup

FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text

Kailin Li, Lixin Yang, Zenan Lin et al.

FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection

Zizhang Wu, Yuanzhu Gan, Yunzhe Wu et al.

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition

Mengke Li, Zhikai HU, Yang Lu et al.

Feature Transportation Improves Graph Neural Networks

Moshe Eliasof, Eldad Haber, Eran Treister

FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging

Dalong Chen, Jianjia Zhang, Wei-shi Zheng et al.

FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise

Nannan Wu, Zhaobin Sun, Zengqiang Yan et al.

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update

Ji Liu, Juncheng Jia, Tianshi Che et al.

FedCD: Federated Semi-supervised Learning with Class Awareness Balance via Dual Teachers

Yuzhi Liu, Huisi Wu, Jing Qin

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants

Shanli Tan, Hao Cheng, Xiaohu Wu et al.

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning

Xianjie Guo, Kui Yu, Lin Liu et al.

FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning

Haokun Chen, Yao Zhang, Denis Krompass et al.

FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels

Authors: Jichang Li, Guanbin Li, Hui Cheng et al.

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning

Shangchao Su, Mingzhao Yang, Bin Li et al.

Federated Causality Learning with Explainable Adaptive Optimization

Dezhi Yang, Xintong He, Jun Wang et al.