Poster Papers
24,624 papers found • Page 95 of 493
Conference
Explicit Depth-Aware Blurry Video Frame Interpolation Guided by Differential Curves
yan zaoming, pengcheng lei, Tingting Wang et al.
Explicit Discovery of Nonlinear Symmetries from Dynamic Data
Lexiang Hu, Yikang Li, Zhouchen Lin
Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning
Austin Nguyen, Anri Gu, Michael Wellman
Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
Lucas Piper, Arlindo L Oliveira, Tiago Marques
Explicit Preference Optimization: No Need for an Implicit Reward Model
Xiangkun Hu, Lemin Kong, Tong He et al.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
Hao Qiu, Emmanuel Esposito, Mengxiao Zhang
Exploiting Deblurring Networks for Radiance Fields
Haeyun Choi, Heemin Yang, Janghyeok Han et al.
Exploiting Diffusion Prior for Task-driven Image Restoration
Jaeha Kim, Junghun Oh, Kyoung Mu Lee
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval
Mohammad Omama, Po-han Li, Sandeep Chinchali
Exploiting Domain Properties in Language-Driven Domain Generalization for Semantic Segmentation
Seogkyu Jeon, Kibeom Hong, Hyeran Byun
Exploiting Dynamic Sparsity in Einsum
Christoph Staudt, Mark Blacher, Tim Hoffmann et al.
Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition
Meiqi Cao, Xiangbo Shu, Xin Jiang et al.
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices
Frida Viset, Frederiek Wesel, Arno Solin et al.
Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm
Du Chen, Geoffrey A. Chua
Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
Yue Gong, Raul Fernandez
Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models
Xin Cheng, Jiabo Ye, Haiyang Xu et al.
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization
Yuki Takezawa, Xiaowen Jiang, Anton Rodomanov et al.
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
Wenhao Zhan, Scott Fujimoto, Zheqing Zhu et al.
Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
Yanru Wu, Jianning Wang, Xiangyu Chen et al.
Exploiting Temporal State Space Sharing for Video Semantic Segmentation
Hesham Syed, Yun Liu, Guolei Sun et al.
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere
Li Ju, Max Andersson, Stina Fredriksson et al.
Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation
Tiankai Chen, Yushu Li, Adam Goodge et al.
Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training
Woojin Chung, Jeonghoon Kim
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna, Medhanie Irgau, David Lobell et al.
Exploration-Driven Generative Interactive Environments
Nedko Savov, Naser Kazemi, Mohammad Mahdi et al.
Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
Tong Yang, Bo Dai, Lin Xiao et al.
Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF
Tengyang Xie, Dylan Foster, Akshay Krishnamurthy et al.
ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors
Minsu Kim, Subin Jeon, In Cho et al.
Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game
Tingting Dan, Xinwei Huang, Won Hwa Kim et al.
Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning
Melanie Sclar, Jane Dwivedi-Yu, Maryam Fazel-Zarandi et al.
Exploring and Exploiting Model Uncertainty in Bayesian Optimization
Zishi Zhang, Tao Ren, Yijie Peng
Exploring and Leveraging Class Vectors for Classifier Editing
Jaeik Kim, Jaeyoung Do
Exploring a Principled Framework for Deep Subspace Clustering
Xianghan Meng, Zhiyuan Huang, Wei He et al.
Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks
Sabrina Herbst, Sandeep Cranganore, Vincenzo De Maio et al.
Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation
Zhiwei Yang, Yucong Meng, Kexue Fu et al.
Exploring Contextual Attribute Density in Referring Expression Counting
Zhicheng Wang, Zhiyu Pan, Zhan Peng et al.
Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
Puning Yang, Qizhou Wang, Zhuo Huang et al.
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Wei Shen, Guanlin Liu, Yu Yue et al.
Exploring Historical Information for RGBE Visual Tracking with Mamba
Chuanyu Sun, Jiqing Zhang, Yang Wang et al.
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
Wei Luo, Yunkang Cao, Haiming Yao et al.
Exploring Invariance in Images through One-way Wave Equations
Yinpeng Chen, Dongdong Chen, Xiyang Dai et al.
Exploring Landscapes for Better Minima along Valleys
Tong Zhao, Jiacheng Li, Yuanchang Zhou et al.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling
Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin et al.
Exploring Learning Complexity for Efficient Downstream Dataset Pruning
Wenyu Jiang, Zhenlong Liu, Zejian Xie et al.
Exploring Local Memorization in Diffusion Models via Bright Ending Attention
Chen Chen, Daochang Liu, Mubarak Shah et al.
Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing
Joonghyuk Shin, Alchan Hwang, Yujin Kim et al.
Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
Ping Guo, Yubing Ren, BINBINLIU et al.
Exploring Probabilistic Modeling Beyond Domain Generalization for Semantic Segmentation
I-Hsiang Chen, Hua-En Chang, Wei-Ting Chen et al.
Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View
Xuan Liu, Jie ZHANG, HaoYang Shang et al.
Exploring Representations and Interventions in Time Series Foundation Models
Michal Wilinski, Mononito Goswami, Willa Potosnak et al.