Poster Papers
24,624 papers found • Page 374 of 493
Conference
FESSNC: Fast Exponentially Stable and Safe Neural Controller
Jingdong Zhang, Luan Yang, Qunxi Zhu et al.
Fewer Truncations Improve Language Modeling
Hantian Ding, Zijian Wang, Giovanni Paolini et al.
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
Yihao Xue, Ali Payani, Yu Yang et al.
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
Guan Gui, Bin-Bin Gao, Jun Liu et al.
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
Mo Yu, Qiujing Wang, Shunchi Zhang et al.
Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
Chenxi Liu, Zhenyi Wang, Tianyi Xiong et al.
Few-shot Defect Image Generation based on Consistency Modeling
Qingfeng Shi, Jing Wei, Fei Shen et al.
Few-Shot Detection of Machine-Generated Text using Style Representations
Rafael Rivera Soto, Kailin Koch, Aleem Khan et al.
Few-shot Hybrid Domain Adaptation of Image Generator
Hengjia Li, Yang Liu, Linxuan Xia et al.
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion
Yu Cao, Shaogang Gong
Few-shot Learner Parameterization by Diffusion Time-steps
Zhongqi Yue, Pan Zhou, Richang Hong et al.
Few-shot NeRF by Adaptive Rendering Loss Regularization
Qingshan Xu, Xuanyu Yi, Jianyao Xu et al.
Few-Shot Object Detection with Foundation Models
Guangxing Han, Ser-Nam Lim
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
Amine Ouasfi, Adnane Boukhayma
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
Xiaotian Han, Jianfeng Chi, Yu Chen et al.
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
Sina Baharlouei, Shivam Patel, Meisam Razaviyayn
FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models
Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions
Jie Yang, Xuesong Niu, Nan Jiang et al.
Fiber Monte Carlo
Nick Richardson, Deniz Oktay, Yaniv Ovadia et al.
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
Wenzhe Li, Zihan Ding, Seth Karten et al.
Finding a needle in a haystack: A Black-Box Approach to Invisible Watermark Detection
Minzhou Pan, Zhenting Wang, Xin Dong et al.
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras
Hoonhee Cho, Sung-Hoon Yoon, Hyeokjun Kweon et al.
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation
Seongsu Ha, Chaeyun Kim, Donghwa Kim et al.
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
Bjørn Leth Møller, Christian Igel, Kristoffer Wickstrøm et al.
Finding Visual Task Vectors
Alberto Hojel, Yutong Bai, Trevor Darrell et al.
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments
Djamahl Etchegaray, Zi Helen Huang, Tatsuya Harada et al.
Fine-Grained Bipartite Concept Factorization for Clustering
Chong Peng, Pengfei Zhang, Yongyong Chen et al.
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi et al.
Fine-grained Classes and How to Find Them
Matej Grcic, Artyom Gadetsky, Maria Brbic
Fine-grained Dynamic Network for Generic Event Boundary Detection
Ziwei Zheng, Lijun He, Le Yang et al.
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
Aaron Havens, Alexandre Araujo, Huan Zhang et al.
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
Fan Zhang, Xian-Sheng Hua, Chong Chen et al.
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction
Yansheng Li, Tingzhu Wang, Kang Wu et al.
FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction
Hang Hua, Jing Shi, Kushal Kafle et al.
FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment
Jinglin Xu, Sibo Yin, Guohao Zhao et al.
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Shah Mubarak
FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions
Zhen Liu, Hao Zhu, Qi Zhang et al.
FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding
Jinglin Xu, Guohao Zhao, Sibo Yin et al.
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
Nate Gruver, Anuroop Sriram, Andrea Madotto et al.
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
Xiangyu Qi, Yi Zeng, Tinghao Xie et al.
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
Nikhil Prakash, Tamar Shaham, Tal Haklay et al.
Fine-Tuning Language Models for Factuality
Katherine Tian, Eric Mitchell, Huaxiu Yao et al.
Finetuning Text-to-Image Diffusion Models for Fairness
Xudong Shen, Chao Du, Tianyu Pang et al.
Finite Scalar Quantization: VQ-VAE Made Simple
Fabian Mentzer, David Minnen, Eirikur Agustsson et al.
Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression
Qian Tang, Yikai Zhang, Boxiang Wang
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
Chenyu Zhang, Han Wang, Aritra Mitra et al.
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
Tianchen Zhou, Hairi, Haibo Yang et al.
Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation
Rahul Singh, Akshay Mete, Avik Kar et al.
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
Simon Weber, Thomas Dagès, Maolin Gao et al.