Papers
11,015 papers found
Deep Signature: Characterization of Large-Scale Molecular Dynamics
Tiexin Qin, Mengxu ZHU, Chunyang Li et al.
DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks
Wei Liu, Li Yang, Mingxuan Zhao et al.
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb, Tobias Weber, Bernd Bischl et al.
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
Jinwei Yao, Kaiqi Chen, Kexun Zhang et al.
DELIFT: Data Efficient Language model Instruction Fine-Tuning
Ishika Agarwal, Krishnateja Killamsetty, Lucian Popa et al.
DeLLMa: Decision Making Under Uncertainty with Large Language Models
Ollie Liu, Deqing Fu, Dani Yogatama et al.
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory
Yutong Wang, Jiali Zeng, Xuebo Liu et al.
DELTA: DENSE EFFICIENT LONG-RANGE 3D TRACKING FOR ANY VIDEO
Tuan Duc Ngo, Peiye Zhuang, Evangelos Kalogerakis et al.
Democratic Training Against Universal Adversarial Perturbations
Bing Sun, Jun Sun, Wei Zhao
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
Zhuohua Li, Maoli Liu, Xiangxiang Dai et al.
Demystifying the Token Dynamics of Deep Selective State Space Models
Thieu Vo, Duy-Tung Pham, Xin T. Tong et al.
Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
Diaaeldin Taha, James Chapman, Marzieh Eidi et al.
DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training
Yurou Liu, Jiahao Chen, Rui Jiao et al.
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
Kang Liao, Zongsheng Yue, Zhouxia Wang et al.
Denoising Autoregressive Transformers for Scalable Text-to-Image Generation
Jiatao Gu, Yuyang Wang, Yizhe Zhang et al.
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Jin-Young Kim, Hyojun Go, Soonwoo Kwon et al.
Denoising with a Joint-Embedding Predictive Architecture
Dengsheng Chen, Jie Hu, Xiaoming Wei et al.
DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding
Henry Zheng, Hao Shi, Qihang Peng et al.
DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Junzhe Zhu, Yuanchen Ju, Junyi Zhang et al.
Dense Video Object Captioning from Disjoint Supervision
Xingyi Zhou, Anurag Arnab, Chen Sun et al.
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Toni J.B. Liu, Nicolas Boulle, Raphaël Sarfati et al.
DEPfold: RNA Secondary Structure Prediction as Dependency Parsing.
KE WANG, Shay B Cohen
DEPT: Decoupled Embeddings for Pre-training Language Models
Alex Iacob, Lorenzo Sani, Meghdad Kurmanji et al.
Depth Any Video with Scalable Synthetic Data
Honghui Yang, Di Huang, Wei Yin et al.
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
Alexey Bochkovskiy, Amaël Delaunoy, Hugo Germain et al.