Poster Papers
24,624 papers found • Page 372 of 493
Conference
Fast Adaptation for Human Pose Estimation via Meta-Optimization
Shengxiang Hu, Huaijiang Sun, Bin Li et al.
Fast Adversarial Attacks on Language Models In One GPU Minute
Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan et al.
Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning
Konstantinos Ameranis, Adela DePavia, Lorenzo Orecchia et al.
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
Jiabin Lin, Shana Moothedath, Namrata Vaswani
Fast and unified path gradient estimators for normalizing flows
Lorenz Vaitl, Ludwig Winkler, Lorenz Richter et al.
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos
Florian Langer, Jihong Ju, Georgi Dikov et al.
Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations
Tomáš Chobola, Yu Liu, Hanyi Zhang et al.
Fast Co-Training under Weak Dependence via Stream-Based Active Learning
Ilias Diakonikolas, Mingchen Ma, Lisheng Ren et al.
Fast Decision Boundary based Out-of-Distribution Detector
Litian Liu, Yao Qin
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
Guangsheng Bao, Yanbin Zhao, Zhiyang Teng et al.
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation
Nina Weng, Paraskevas Pegios, Eike Petersen et al.
Fast-ELECTRA for Efficient Pre-training
Chengyu Dong, Liyuan Liu, Hao Cheng et al.
Fast Encoding and Decoding for Implicit Video Representation
Hao Chen, Saining Xie, Ser-Nam Lim et al.
Fast Ensembling with Diffusion Schrödinger Bridge
Hyunsu Kim, Jongmin Yoon, Juho Lee
Fast Equilibrium of SGD in Generic Situations
Zhiyuan Li, Yi Wang, Zhiren Wang
Faster Approximation of Probabilistic and Distributional Values via Least Squares
Weida Li, Yaoliang Yu
Faster Maximum Inner Product Search in High Dimensions
Mo Tiwari, Ryan Kang, Jaeyong Lee et al.
Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
Oren Mangoubi, Nisheeth Vishnoi
Faster Sampling via Stochastic Gradient Proximal Sampler
Xunpeng Huang, Difan Zou, Hanze Dong et al.
Faster Streaming and Scalable Algorithms for Finding Directed Dense Subgraphs in Large Graphs
Slobodan Mitrovic, Theodore Pan
FasterViT: Fast Vision Transformers with Hierarchical Attention
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin et al.
Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
Erik Bekkers, Sharvaree Vadgama, Rob Hesselink et al.
Fast Hyperboloid Decision Tree Algorithms
Philippe Chlenski, Ethan Turok, Antonio Moretti et al.
FastMAC: Stochastic Spectral Sampling of Correspondence Graph
Yifei Zhang, Hao Zhao, Hongyang Li et al.
FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation
tianyu zhang, Guocheng Qian, Jin Xie et al.
Fast Peer Adaptation with Context-aware Exploration
Long Ma, Yuanfei Wang, Fangwei Zhong et al.
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
Hao Xu, Xi Zhang, Xiaolin Wu
Fast Registration of Photorealistic Avatars for VR Facial Animation
Chaitanya Patel, Shaojie Bai, Te-Li Wang et al.
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching
Rico Angell, Andrew McCallum
Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
JUNYU GAO, Xuan Yao, Changsheng Xu
Fast Sprite Decomposition from Animated Graphics
Tomoyuki Suzuki, Kotaro Kikuchi, Kota Yamaguchi
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization
Jinlu Zhang, Yiyi Zhou, Qiancheng Zheng et al.
Fast Timing-Conditioned Latent Audio Diffusion
Zach Evans, CJ Carr, Josiah Taylor et al.
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation
Shentong Mo, Enze Xie, Yue Wu et al.
Fast View Synthesis of Casual Videos with Soup-of-Planes
Yao-Chih Lee, Zhoutong Zhang, Kevin Blackburn-Matzen et al.
Fast White-Box Adversarial Streaming Without a Random Oracle
Ying Feng, Aayush Jain, David Woodruff
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
Tehila Dahan, Kfir Levy
FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences
Haobo Xu, Jun Zhou, Hua Yang et al.
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning
Qiwei Li, Yuxin Peng, Jiahuan Zhou
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen, Yihang Yao, Zuxin Liu et al.
Feasible Reachable Policy Iteration
Shentao Qin, Yujie Yang, Yao Mu et al.
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
Stephanie Fu, Mark Hamilton, Laura E. Brandt et al.
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
Xuexin Chen, Ruichu Cai, Zhengting Huang et al.
Feature Collapse
Thomas Laurent, James von Brecht, Xavier Bresson
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize
Tianren Zhang, Chujie Zhao, Guanyu Chen et al.
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
Soo Yong Lee, Sunwoo Kim, Fanchen Bu et al.
Feature Diversification and Adaptation for Federated Domain Generalization
Seunghan Yang, Seokeon Choi, Hyunsin Park et al.
Feature Importance Disparities for Data Bias Investigations
Peter Chang, Leor Fishman, Seth Neel
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
Wenhao Tang, Fengtao ZHOU, Sheng Huang et al.
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
Francesca-Zhoufan Li, Ava Amini, Yisong Yue et al.