2024 Poster Papers
8,865 papers found • Page 5 of 178
Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning
Fan Qi, Shuai Li
Adaptive Instrument Design for Indirect Experiments
Yash Chandak, Shiv Shankar, Vasilis Syrgkanis et al.
Adaptive Learning of Density Ratios in RKHS
Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev
Adaptively Learning to Select-Rank in Online Platforms
Jingyuan Wang, Perry Dong, Ying Jin et al.
Adaptively Perturbed Mirror Descent for Learning in Games
Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto et al.
Adaptive Multi-head Contrastive Learning
Lei Wang, Piotr Koniusz, Tom Gedeon et al.
Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
Peng Xu, Zhiyu Xiang, Chengyu Qiao et al.
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
Junxiong Lin, Yan Wang, Zeng Tao et al.
Adaptive Multi-task Learning for Few-shot Object Detection
Yan Ren, Yanling Li, Wai-Kin Adams Kong
Adaptive Observation Cost Control for Variational Quantum Eigensolvers
Christopher J. Anders, Kim A. Nicoli, Bingting Wu et al.
Adaptive Parametric Activation
Konstantinos P Alexandridis, Jiankang Deng, Anh Nguyen et al.
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
Shin', ya Yamaguchi, Sekitoshi Kanai et al.
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Zhou Lu, Qiuyi (Richard) Zhang, Xinyi Chen et al.
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
Qiang HE, Tianyi Zhou, Meng Fang et al.
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
Nishant Yadav, Nicholas Monath, Manzil Zaheer et al.
Adaptive Robust Learning using Latent Bernoulli Variables
Aleksandr Karakulev, Dave Zachariah, Prashant Singh
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
Chen-Yu Yen, raghav singhal, Umang Sharma et al.
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing
Seongmin Hong, Jaehyeok Bae, Jongho Lee et al.
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Kibum Kim, Kanghoon Yoon, Yeonjun In et al.
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
Anna Bair, Hongxu Yin, Maying Shen et al.
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
Ke Fan, Zechen Bai, Tianjun Xiao et al.
Adaptive Softassign via Hadamard-Equipped Sinkhorn
Binrui Shen, Qiang Niu, Shengxin Zhu
Adaptive Stabilization Based on Machine Learning for Column Generation
Yunzhuang Shen, Yuan Sun, Xiaodong Li et al.
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
Feiyang YE, YUEMING LYU, Xuehao Wang et al.
Adaptive Text Watermark for Large Language Models
Yepeng Liu, Yuheng Bu
Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning
Youqi Pan, Wugen Zhou, Yingdian Cao et al.
Adaptive Window Pruning for Efficient Local Motion Deblurring
Haoying Li, Jixin Zhao, Shangchen Zhou et al.
Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration
Shihao Zhou, Duosheng Chen, Jinshan Pan et al.
Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models
MENGYU ZHENG, Yehui Tang, Zhiwei Hao et al.
AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
Xintian Mao, Xiwen Gao, Yan Wang
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Yu Wang, Xiaogeng Liu, Yu Li et al.
AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor
Sudong Cai
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
Eduardo Dadalto Câmara Gomes, Marco Romanelli, Georg Pichler et al.
ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association
Shuxiao Ding, Lukas Schneider, Marius Cordts et al.
AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale
Keenon Werling, Janelle M Kaneda, Tian Tan et al.
AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes
Dongxu Yue, Maomao Li, Yunfei Liu et al.
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Changyao Tian, Chenxin Tao, Jifeng Dai et al.
AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization
Shixiong Xu, Chenghao Zhang, Lubin Fan et al.
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
Lanyun Zhu, Tianrun Chen, Jianxiong Yin et al.
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
Mohamed Elsayed, A. Rupam Mahmood
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation
Hao Tang, Weiyao Wang, Pierre Gleize et al.
ADFactory: An Effective Framework for Generalizing Optical Flow with NeRF
Han Ling, Quansen Sun, Yinghui Sun et al.
A differentiable brain simulator bridging brain simulation and brain-inspired computing
Chaoming Wang, Tianqiu Zhang, Sichao He et al.
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
Chengrui Li, Weihan Li, Yule Wang et al.
A Differentially Private Clustering Algorithm for Well-Clustered Graphs
Weiqiang He, Hendrik Fichtenberger, Pan Peng
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control
Karim Kadry, Shreya Gupta, Jonas Sogbadji et al.
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner
A Direct Approach to Viewing Graph Solvability
Federica Arrigoni, Andrea Fusiello, Tomas Pajdla
A Discretization Framework for Robust Contextual Stochastic Optimization
Rares Cristian, Georgia Perakis
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jiachun Pan, Jun Hao Liew et al.