Papers
176,624 papers found
Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training
Haifan Gong, Yu Lu, Xiang Wan et al.
Domain-Generalized Object Anti-Spoofing: Bridging Gaps and Patch Selection for Robust Detection Across Domains
Geonu Lee, Yonghyun Jeong, Haneol Jang et al.
Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization
Chamuditha Jayanga Galappaththige, Zachary Izzo, Xilin He et al.
Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract)
Shovito Barua Soumma, Abdullah Mamun, Hassan Ghasemzadeh
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation
Nian Rong, Fei Xiong, Shirui Pan et al.
Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains
Xu Chu, Zhijie Tan, Hanlin Xue et al.
Domain Pre-training Impact on Representations
Cesar Gonzalez-Gutierrez, Ariadna Quattoni
Domain Prompt Learning with Quaternion Networks (Extended Abstract)
Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.
Domain Randomization is Sample Efficient for Linear Quadratic Control
Tesshu Fujinami, Bruce D. Lee, Nikolai Matni et al.
Domain Regeneration: How well do LLMs match syntactic properties of text domains?
Da Ju, Hagen Blix, Adina Williams
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization
Haohan Yuan, Haopeng Zhang
DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation
Tom Segal, Asaf Shabtai, Yuval Elovici
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
Jin-Seop Lee, Noo-ri Kim, Jee-Hyong Lee
Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models
Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning
Dohoon Kim, Donghun Kang, Taesup Moon
Do Multimodal Large Language Models Truly See What We Point At? Investigating Indexical, Iconic, and Symbolic Gesture Comprehension
Noriki Nishida, Koji Inoue, Hideki Nakayama et al.
Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts
Christopher Bagdon, Aidan Combs, Carina Silberer et al.
DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms
Xiaojun Bi, Shuo Li, Junyao Xing et al.
DONIS: Importance Sampling for Training Physics-Informed DeepONet
Shudong Huang, Rui Huang, Ming Hu et al.
Do not Abstain! Identify and Solve the Uncertainty
Jingyu Liu, JingquanPeng JingquanPeng, Xiaopeng Wu et al.
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images
Jiayi Kong, Xurui Song, Shuo Huai et al.
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs
Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates et al.
Don’t Erase, Inform! Detecting and Contextualizing Harmful Language in Cultural Heritage Collections
Orfeas Menis Mastromichalakis, Jason Liartis, Kristina Rose et al.
Don’t Forget the Base Retriever! A Low-Resource Graph-based Retriever for Multi-hop Question Answering
André Melo, Enting Chen, Pavlos Vougiouklis et al.