Papers
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
Qilong Ma, Haixu Wu, Lanxiang Xing et al.
Deep Learning for Computing Convergence Rates of Markov Chains
Yanlin Qu, Jose Blanchet, Peter Glynn
Deep Learning in Medical Image Registration: Magic or Mirage?
Rohit Jena, Deeksha Sethi, Pratik Chaudhari et al.
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
Alan Jeffares, Alicia Curth, Mihaela van der Schaar
Deep linear networks for regression are implicitly regularized towards flat minima
Pierre Marion, Lénaïc Chizat
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
Gautham Vasan, Mohamed Elsayed, Alireza Azimi et al.
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
Lingchen Meng, Jianwei Yang, Rui Tian et al.
Deep Submodular Peripteral Networks
Gantavya Bhatt, Arnav M. Das, Jeffrey A. Bilmes
Deep Support Vectors
Junhoo Lee, Hyunho Lee, Kyomin Hwang et al.
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
Yang Yue, Yulin Wang, Bingyi Kang et al.
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Yimeng Zhang, Xin Chen, Jinghan Jia et al.
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching
Donghao Luo, Xue Wang
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
Alexander Denker, Francisco Vargas, Shreyas Padhy et al.
DeiSAM: Segment Anything with Deictic Prompting
Hikaru Shindo, Manuel Brack, Gopika Sudhakaran et al.
Déjà Vu Memorization in Vision–Language Models
Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
Jiaxu Wang, Jingkai Sun, Junhao He et al.
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
Bowen Ping, Shuo Wang, Hanqing Wang et al.
DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations
Zuowen Wang, Longbiao Cheng, Pehuen Moure et al.
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking
Jiaxian Yan, Zaixi Zhang, Jintao Zhu et al.
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
Zhengkai Lin, Zhihang Fu, Kai Liu et al.
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
Bozhou Zhang, Nan Song, Li Zhang
Demystify Mamba in Vision: A Linear Attention Perspective
Dongchen Han, Ziyi Wang, Zhuofan Xia et al.
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation
Chongming Liu, Jingyang Ma, Songting Li et al.
DeNetDM: Debiasing by Network Depth Modulation
Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, Abhra Chaudhuri et al.
DenoiseRep: Denoising Model for Representation Learning
Zhengrui Xu, Guan'an Wang, Xiaowen Huang et al.