Papers
Detecting Origin Attribution for Text-to-Image Diffusion Models
Katherine Xu, Lingzhi Zhang, Jianbo Shi
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Litian Liu, Yao Qin
Detecting Referring Expressions in Visually Grounded Dialogue with Autoregressive Language Models
Bram Willemsen, Gabriel Skantze
Detecting Sexism in Tweets: A Sentiment Analysis and Graph Neural Network Approach
Diana P. Madera-Espíndola, Zoe Caballero-Domínguez, Valeria J. Ramírez-Macías et al.
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
Luc Raszewski, Christine de Kock
Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models
Jinwen Chen, Hainan Zhang, Fei Sun et al.
Detecting Strategic Deception with Linear Probes
Nicholas Goldowsky-Dill, Bilal Chughtai, Stefan Heimersheim et al.
Detecting Wildfires on UAVs with Real-Time Segmentation Trained by Larger Teacher Models
Julius Pesonen, Teemu Hakala, Väinö Karjalainen et al.
Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms
Kangning Cui, Rongkun Zhu, Manqi Wang et al.
Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection
Houzhang Fang, Xiaolin Wang, Zengyang Li et al.
Detection of Human and Machine-Authored Fake News in Urdu
Muhammad Zain Ali, Yuxia Wang, Bernhard Pfahringer et al.
Detection of Religious Hate Speech During Elections in Karnataka
Msvpj Sathvik, Raj Sonani, Ravi Teja Potla
Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle
Miroslav Purkrabek, Jiri Matas
Detective Networks: Enhancing Disaster Recognition in Images Through Attention Shifting using Optimal Masking
Narongthat Thanyawet, Photchara Ratsamee, Yuki Uranishi et al.
Determinant Estimation under Memory Constraints and Neural Scaling Laws
Siavash Ameli, Chris Van Der Heide, Liam Hodgkinson et al.
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
Yuxuan Yao, Han Wu, Mingyang LIU et al.
Determine the Number of States in Hidden Markov Models via Marginal Likelihood
Yang Chen, Cheng-Der Fuh, Chu-Lan Michael Kao
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
Weizhong Huang, Yuxin Zhang, Xiawu Zheng et al.
Deterministic Apple Tasting
Zachary Chase, Idan Mehalel
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Jiate Li, Meng Pang, Yun Dong et al.
Deterministic Client: Enforcing Determinism on Untrusted Machine Code
Zachary Yedidia, Geoffrey Ramseyer, David Mazières
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators
Bohan Xiao, Peiyong Wang, Qisheng He et al.
Deterministic Object Pose Confidence Region Estimation
Jinghao Wang, Zhang Li, Zi Wang et al.
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
Sergio Rozada, Dongsheng Ding, Antonio G. Marques et al.
Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
Xiaoyu Li, Zhao Song, Shenghao Xie