Papers
Data Augmentation for Medical Imaging: Counterfactual Simulation of Acquisition Parameters via Conditional Diffusion Model
Pedro A. Morão, Yasna Forghani, Nuno Louçã et al.
Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer et al.
Database-Augmented Query Representation for Information Retrieval
Soyeong Jeong, Jinheon Baek, Sukmin Cho et al.
DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection
Sowmya Anand, Tanisha Sriram, Rajalakshmi Sivanaiah et al.
DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection
Sowmya Anand, Tanisha Sriram, Rajalakshmi Sivanaiah et al.
Data Caricatures: On the Representation of African American Language in Pretraining Corpora
Nicholas Deas, Blake Vente, Amith Ananthram et al.
Data Center Cooling System Optimization Using Offline Reinforcement Learning
Xianyuan Zhan, Xiangyu Zhu, Peng Cheng et al.
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling
Maximillian Chen, Ruoxi Sun, Sercan O Arik
Data-centric NLP Backdoor Defense from the Lens of Memorization
Zhenting Wang, Zhizhi Wang, Mingyu Jin et al.
Data-centric Prediction Explanation via Kernelized Stein Discrepancy
Mahtab Sarvmaili, Hassan Sajjad, Ga Wu
Data-Constrained Synthesis of Training Data for De-Identification
Thomas Vakili, Aron Henriksson, Hercules Dalianis
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Ian Magnusson, Nguyen Tai, Ben Bogin et al.
Data-dependent Bounds with $T$-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching
Quan Nguyen, Shinji Ito, Junpei Komiyama et al.
Data Dependent Regret Bounds for Online Portfolio Selection with Predicted Returns
Sudeep Raja Putta, Shipra Agrawal
Data Descriptions from Large Language Models with Influence Estimation
Chaeri Kim, Jaeyeon Bae, Taehwan Kim
Data Distillation for extrapolative protein design through exact preference optimization
Mostafa Karimi, Sharmi Banerjee, Tommi Jaakkola et al.
Data Distributional Properties As Inductive Bias for Systematic Generalization
Felipe del Rio, Alain Raymond-Saez, Daniel Florea et al.
DATA: Domain-And-Time Alignment for High-Quality Feature Fusion in Collaborative Perception
Chengchang Tian, Jianwei Ma, Yan Huang et al.
Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs
Essa Jan, Moiz Ali, Muhammad Saram Hassan et al.
Data-Driven and Stealthy Deactivation of Safety Filters
Daniel Arnström, Andre M.H. Teixeira
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
Santiago Cortes-Gomez, Naveen Janaki Raman, Aarti Singh et al.
Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon
Vasanth Reddy Baddam, Hoda Eldardiry, Almuatazbellah Boker
Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator
Zhexuan Zeng, Ruikun Zhou, Yiming Meng et al.
Data-Driven Performance Guarantees for Classical and Learned Optimizers
Rajiv Sambharya, Bartolomeo Stellato