Papers
Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
Yiming Lei, Zilong Li, Junping Zhang et al.
Dense Associative Memory Through the Lens of Random Features
Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt et al.
Dense Connector for MLLMs
Huanjin Yao, Wenhao Wu, Taojiannan Yang et al.
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
Matteo Pagliardini, Amirkeivan Mohtashami, Francois Fleuret et al.
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
Xiaotong Li, Fan Zhang, Haiwen Diao et al.
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
Haolun Wu, Ofer Meshi, Masrour Zoghi et al.
DePLM: Denoising Protein Language Models for Property Optimization
Zeyuan Wang, Keyan Ding, Ming Qin et al.
DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
Cheonjun Park, Mincheol Park, Hyunchan Moon et al.
Depth Anything V2
Lihe Yang, Bingyi Kang, Zilong Huang et al.
Derandomizing Multi-Distribution Learning
Kasper Green Larsen, Omar Montasser, Nikita Zhivotovskiy
Derivative-enhanced Deep Operator Network
Yuan Qiu, Nolan Bridges, Peng Chen
Derivatives of Stochastic Gradient Descent in parametric optimization
Franck Iutzeler, Edouard Pauwels, Samuel Vaiter
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization
Aniketh Janardhan Reddy, Xinyang Geng, Michael H. Herschl et al.
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems
Rohan Paleja, Michael Munje, Kimberlee Chestnut Chang et al.
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
Oryan Yehezkel, Alon Zolfi, Amit Baras et al.
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
Zijian Zhou, Xiaoqiang Lin, Xinyi Xu et al.
Detecting and Measuring Confounding Using Causal Mechanism Shifts
Abbavaram Gowtham Reddy, Vineeth N Balasubramanian
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot et al.
Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
Brian Zhang, Zhuo Zhang
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
Xun Guo, Shan Zhang, Yongxin He et al.
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
Junchao Wu, Runzhe Zhan, Derek F. Wong et al.
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Abdullah Akgül, Manuel Haußmann, Melih Kandemir
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
Jonas Belouadi, Simone Paolo Ponzetto, Steffen Eger