Poster Papers
24,624 papers found • Page 358 of 493
Conference
Diverse Projection Ensembles for Distributional Reinforcement Learning
Moritz Akiya Zanger, Wendelin Boehmer, Matthijs T. J. Spaan
Diverse Text-to-3D Synthesis with Augmented Text Embedding
Uy Tran, Minh N. Hoang Luu, Phong Nguyen et al.
Diversified Batch Selection for Training Acceleration
Feng Hong, Yueming LYU, Jiangchao Yao et al.
Diversity-aware Channel Pruning for StyleGAN Compression
Jiwoo Chung, Sangeek Hyun, Sang-Heon Shim et al.
Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images
Tianyu Luan, Zhongpai Gao, Luyuan Xie et al.
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan et al.
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
Shijie Lian, Ziyi Zhang, Hua Li et al.
Diving Segmentation Model into Pixels
Chen Gan, Zihao Yin, Kelei He et al.
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
Lu Ling, Yichen Sheng, Zhi Tu et al.
DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
Zhihe Yang, Yunjian Xu
DMiT: Deformable Mipmapped Tri-Plane Representation for Dynamic Scenes
Jing-Wen Yang, Jia-Mu Sun, Yong-Liang Yang et al.
DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
Haoran Xu, Peixi Peng, Guang Tan et al.
DMTG: One-Shot Differentiable Multi-Task Grouping
Yuan Gao, Shuguo Jiang, Moran Li et al.
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genomes
Zhihan Zhou, Yanrong Ji, Weijian Li et al.
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
Xianjun Yang, Wei Cheng, Yue Wu et al.
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
Qinshuo Liu, Zixin Wang, Xi'an Li et al.
DNCs Require More Planning Steps
Yara Shamshoum, Nitzan Hodos, Yuval Sieradzki et al.
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
Jiahe Li, Jiawei Zhang, Xiao Bai et al.
DNI: Dilutional Noise Initialization for Diffusion Video Editing
Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong et al.
DOCCI: Descriptions of Connected and Contrasting Images
Yasumasa Onoe, Sunayana Rane, Zachary E Berger et al.
DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
Jiaxin Zhang, Dezhi Peng, Chongyu Liu et al.
Do Efficient Transformers Really Save Computation?
Kai Yang, Jan Ackermann, Zhenyu He et al.
Does CLIP’s generalization performance mainly stem from high train-test similarity?
Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak et al.
Does Label Smoothing Help Deep Partial Label Learning?
Xiuwen Gong, Nitin Bisht, Guandong Xu
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
Megan Richards, Polina Kirichenko, Diane Bouchacourt et al.
Does Writing with Language Models Reduce Content Diversity?
Vishakh Padmakumar, He He
DOGE: Domain Reweighting with Generalization Estimation
Simin Fan, Matteo Pagliardini, Martin Jaggi
Do Generalised Classifiers really work on Human Drawn Sketches?
Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan Sain et al.
Do Generated Data Always Help Contrastive Learning?
Yifei Wang, Jizhe Zhang, Yisen Wang
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Yung-Sung Chuang, Yujia Xie, Hongyin Luo et al.
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Andreas Opedal, Alessandro Stolfo, Haruki Shirakami et al.
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis et al.
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan
Dolfin: Diffusion Layout Transformers without Autoencoder
Yilin Wang, Zeyuan Chen, Liangjun Zhong et al.
Dolphins: Multimodal Language Model for Driving
Yingzi Ma, Yulong Cao, Jiachen Sun et al.
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions
Yihao Ai, Yifei Qi, Bo Wang et al.
Domain-adaptive Video Deblurring via Test-time Blurring
Jin-Ting He, Fu-Jen Tsai, Jia-Hao Wu et al.
Domain-Agnostic Molecular Generation with Chemical Feedback
Yin Fang, Ningyu Zhang, Zhuo Chen et al.
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Zhekai Du, Xinyao Li, Fengling Li et al.
Domain constraints improve risk prediction when outcome data is missing
Sidhika Balachandar, Nikhil Garg, Emma Pierson
DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models
Yuyang Huang, Yabo Chen, Yuchen Liu et al.
Domain Gap Embeddings for Generative Dataset Augmentation
Yinong Oliver Wang, Younjoon Chung, Chen Henry Wu et al.
Domain Generalization of 3D Object Detection by Density-Resampling
Shuangzhi Li, Lei Ma, Xingyu Li
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Ruipeng Zhang, Ziqing Fan, Jiangchao Yao et al.
Domain Randomization via Entropy Maximization
Gabriele Tiboni, Pascal Klink, Jan Peters et al.
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
Jiapeng Su, Qi Fan, Wenjie Pei et al.
Domain Reduction Strategy for Non-Line-of-Sight Imaging
Hyunbo Shim, In Cho, Daekyu Kwon et al.
Domain Separation Graph Neural Networks for Saliency Object Ranking
Zijian Wu, Jun Lu, Jing Han et al.
Domain Shifting: A Generalized Solution for Heterogeneous Cross-Modality Person Re-Identification
Yan Jiang, Xu Cheng, Hao Yu et al.
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation
Yeonguk Yu, Sungho Shin, Seunghyeok Back et al.