Poster Papers
24,624 papers found • Page 351 of 493
Conference
Deep Fusion: Efficient Network Training via Pre-trained Initializations
Hanna Mazzawi, Xavi Gonzalvo, Michael Wunder et al.
Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders
Emanuele Palumbo, Laura Manduchi, Sonia Laguna et al.
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
yuanbang liang, Bhavesh Garg, Paul L. Rosin et al.
Deep Imbalanced Regression via Hierarchical Classification Adjustment
Haipeng Xiong, Angela Yao
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time
Chiao-An Yang, Ziwei Liu, Raymond Yeh
Deep Networks Always Grok and Here is Why
Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk
DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS
Ilan Price, Nicholas Daultry Ball, Adam Jones et al.
Deep Neural Networks Tend To Extrapolate Predictably
Katie Kang, Amrith Setlur, Claire Tomlin et al.
Deep Neural Room Acoustics Primitive
Yuhang He, Anoop Cherian, Gordon Wichern et al.
Deep Online Probability Aggregation Clustering
Yuxuan Yan, Na Lu, Ruofan Yan
Deep Patch Visual SLAM
Lahav Lipson, Zachary Teed, Jia Deng
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim et al.
Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation
chenhao li, Trung Thanh Ngo, Hajime Nagahara
Deep Regression Representation Learning with Topology
Shihao Zhang, Kenji Kawaguchi, Angela Yao
Deep Reinforcement Learning for Modelling Protein Complexes
Ziqi Gao, Tao Feng, Jiaxuan You et al.
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
Cong Zhang, Zhiguang Cao, Wen Song et al.
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models
Xiaoshi Wu, Yiming Hao, Manyuan Zhang et al.
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
Ben Eisner, Yi Yang, Todor Davchev et al.
Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption
Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii et al.
DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation
Driton Salihu, Adam Misik, Yuankai Wu et al.
Deep Stochastic Mechanics
Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang et al.
Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack
Sabbir Ahmed, RANYANG ZHOU, Shaahin Angizi et al.
Deep Video Inverse Tone Mapping Based on Temporal Clues
Yuyao Ye, Ning Zhang, Yang Zhao et al.
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
AOCHUAN CHEN, Yimeng Zhang, Jinghan Jia et al.
Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics
Shuai Yang, ZhiFei Chen, Pengguang Chen et al.
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
Yujia Liu, Chenxi Yang, Dingquan Li et al.
Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization
Xingyi Zhao, Depeng Xu, Shuhan Yuan
Defense against Model Extraction Attack by Bayesian Active Watermarking
Zhenyi Wang, Yihan Wu, Heng Huang
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
Yuhang Zhou, Zhongyun Hua
Defining and extracting generalizable interaction primitives from DNNs
Lu Chen, Siyu Lou, Benhao Huang et al.
Defining Expertise: Applications to Treatment Effect Estimation
Alihan Hüyük, Qiyao Wei, Alicia Curth et al.
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
Ziyi Yang, Xinyu Gao, Wen Zhou et al.
Deformable One-shot Face Stylization via DINO Semantic Guidance
Yang Zhou, Zichong Chen, Hui Huang
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration
Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim et al.
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories
Yan Zhang, Sergey Prokudin, Marko Mihajlovic et al.
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning
Shuai Shao, Yu Bai, Yan WANG et al.
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
Harsh Rangwani, Pradipto Mondal, Mayank Mishra et al.
DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving
Foteini Strati, Sara McAllister, Amar Phanishayee et al.
Delaunay Graph: Addressing Over-Squashing and Over-Smoothing Using Delaunay Triangulation
Hugo Attali, Davide Buscaldi, Nathalie Pernelle
Deletion-Anticipative Data Selection with a Limited Budget
Rachael Hwee Ling Sim, Jue Fan, Xiao Tian et al.
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Alizée Pace, Hugo Yèche, Bernhard Schoelkopf et al.
Delta-AI: Local objectives for amortized inference in sparse graphical models
Jean-Pierre Falet, Hae Beom Lee, Nikolay Malkin et al.
Delving Deep into Engagement Prediction of Short Videos
dasong Li, Wenjie Li, Baili Lu et al.
Delving into Adversarial Robustness on Document Tampering Localization
Huiru Shao, Zhuang Qian, Kaizhu Huang et al.
Delving into Differentially Private Transformer
Youlong Ding, Xueyang Wu, Yining meng et al.
Delving into the Convergence of Generalized Smooth Minimax Optimization
Wenhan Xian, Ziyi Chen, Heng Huang
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
Sijia Chen, En Yu, Jinyang Li et al.
DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning
Shihua Zhang, Zizhuo Li, Yuan Gao et al.
DemoCaricature: Democratising Caricature Generation with a Rough Sketch
Dar-Yen Chen, Ayan Kumar Bhunia, Subhadeep Koley et al.
Democratizing Fine-grained Visual Recognition with Large Language Models
Mingxuan Liu, Subhankar Roy, Wenjing Li et al.