Poster Papers
24,624 papers found • Page 111 of 493
Conference
From Tokens to Words: On the Inner Lexicon of LLMs
Guy Kaplan, Matanel Oren, Yuval Reif et al.
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
Fuying Wang, Jiacheng Xu, Lequan Yu
From Trial to Triumph: Advancing Long Video Understanding via Visual Context Sample Scaling and Self-reward Alignment
Yucheng Suo, Fan Ma, Linchao Zhu et al.
From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control
Peiyan Hu, Xiaowei Qian, Wenhao Deng et al.
From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective
Chen Zhao, Zhizhou Chen, Yunzhe Xu et al.
FROSS: Faster-Than-Real-Time Online 3D Semantic Scene Graph Generation from RGB-D Images
Hao-Yu Hou, Chun-Yi Lee, Motoharu Sonogashira et al.
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
Filipp Zmushko, Aleksandr Beznosikov, Martin Takac et al.
FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
Chin-Yang Lin, Chung-Ho Wu, Changhan Yeh et al.
FruitNinja: 3D Object Interior Texture Generation with Gaussian Splatting
Fangyu Wu, Yuhao Chen
FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding
Rong Gao, Xin Liu, Zhuozhao Hu et al.
FSboard: Over 3 Million Characters of ASL Fingerspelling Collected via Smartphones
Manfred Georg, Garrett Tanzer, Esha Uboweja et al.
FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization
Xunzhao Yu
FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning
Gaojian Wang, Feng Lin, Tong Wu et al.
FSHNet: Fully Sparse Hybrid Network for 3D Object Detection
Shuai Liu, Mingyue Cui, Boyang Li et al.
FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
Kaixiang Yang, Xin Li, Yuxi Li et al.
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
Srijith Nair, Michael Lin, Peizhong Ju et al.
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
Hoang Nguyen, Priya Donti
Fugatto 1: Foundational Generative Audio Transformer Opus 1
Rafael Valle, Rohan Badlani, Zhifeng Kong et al.
FullDiT: Video Generative Foundation Models with Multimodal Control via Full Attention
Xuan Ju, Weicai Ye, Quande Liu et al.
Fully Dynamic Algorithms for Chamfer Distance
Gramoz Goranci, Shaofeng Jiang, Peter Kiss et al.
Fully Dynamic Embedding into $\ell_p$ Spaces
Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi et al.
Fully Heteroscedastic Count Regression with Deep Double Poisson Networks
Spencer Young, Porter Jenkins, Longchao Da et al.
Fully-inductive Node Classification on Arbitrary Graphs
Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin et al.
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
Virginia Aglietti, Ira Ktena, Jessica Schrouff et al.
FuncGenFoil: Airfoil Generation and Editing Model in Function Space
Jinouwen Zhang, Junjie Ren, Ma Qianhong et al.
Functional data analysis for multivariate distributions through Wasserstein slicing
Han Chen, Hans-Georg Müller
Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks
Zi Wang, Divyam Anshumaan, Ashish Hooda et al.
Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
Ziyang Zheng, Kezhi Li, Zhengyuan Shi et al.
Function-centric Bayesian Network for Zero-Shot Object Goal Navigation
Sixian Zhang, Xinyao Yu, Xinhang Song et al.
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
Tyler Ingebrand, Adam Thorpe, Ufuk Topcu
Function-Space Learning Rates
Edward Milsom, Ben Anson, Laurence Aitchison
Function-to-Style Guidance of LLMs for Code Translation
Longhui Zhang, Bin Wang, Jiahao Wang et al.
Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
Xander Davies, Eric Winsor, Alexandra Souly et al.
Fundamental Limitations on Subquadratic Alternatives to Transformers
Josh Alman, Hantao Yu
Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds
Emanuele Troiani, Hugo Cui, Yatin Dandi et al.
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani et al.
Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities
Yifang Chen, Xiaoyu Li, Yingyu Liang et al.
Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching
Jing Zuo, Jiaqi Wang, Yonggang Qi et al.
Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation
Guopeng Li, Qiang Wang, Ke Yan et al.
FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks
Quansong He, Xiangde Min, Kaishen Wang et al.
Fusing Reward and Dueling Feedback in Stochastic Bandits
Xuchuang Wang, Qirun Zeng, Jinhang Zuo et al.
Fusion Meets Diverse Conditions: A High-diversity Benchmark and Baseline for UAV-based Multimodal Object Detection with Condition Cues
Chen Chen, Kangcheng Bin, Hu Ting et al.
FusionPhys: A Flexible Framework for Fusing Complementary Sensing Modalities in Remote Physiological Measurement
Chenhang Ying, Huiyu Yang, Jieyi Ge et al.
Future-Aware Interaction Network For Motion Forecasting
Shijie Li, Chunyu Liu, Xun Xu et al.
Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty
Xu Wan, Chao Yang, Cheng Yang et al.
Fuzzy Contrastive Decoding to Alleviate Object Hallucination in Large Vision-Language Models
Jieun Kim, Jinmyeong Kim, Yoonji Kim et al.
Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval
Siyuan Duan, Yuan Sun, Dezhong Peng et al.
FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation
Wenbin Teng, Gonglin Chen, Haiwei Chen et al.
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
Hao Chen, Shell Xu Hu, Wayne Luk et al.
G2D: Boosting Multimodal Learning with Gradient-Guided Distillation
Mohammed Rakib, Arunkumar Bagavathi