Poster Papers
24,624 papers found • Page 427 of 493
Conference
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
Yu Luo, Tianying Ji, Fuchun Sun et al.
OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection
Dongkwon Jin, Chang-Su Kim
On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation
Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn
On a Combinatorial Problem Arising in Machine Teaching
Joakim Sunde, Brigt Håvardstun, Jan Kratochvíl et al.
On Adversarial Training without Perturbing all Examples
Max Losch, Mohamed Omran, David Stutz et al.
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi et al.
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
Hancheng Ye, Chong Yu, Peng Ye et al.
On Characterizing the Trade-off in Invariant Representation Learning
Vishnu Boddeti, Sepehr Dehdashtian, Bashir Sadeghi
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song et al.
On Convergence of Incremental Gradient for Non-convex Smooth Functions
Anastasiia Koloskova, Nikita Doikov, Sebastian Stich et al.
On Differentially Private Federated Linear Contextual Bandits
Xingyu Zhou, Sayak Ray Chowdhury
On dimensionality of feature vectors in MPNNs
César Bravo, Alexander Kozachinskiy, Cristobal Rojas
On Discrete Prompt Optimization for Diffusion Models
Ruochen Wang, Ting Liu, Cho-Jui Hsieh et al.
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
Minghua Liu, Ruoxi Shi, Linghao Chen et al.
One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning
Pei-Kai Huang, Cheng-Hsuan Chiang, Tzu-Hsien Chen et al.
One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment
Chaochao Chen, Jiaming Zhang, Yuyuan Li et al.
OneFormer3D: One Transformer for Unified Point Cloud Segmentation
Maksim Kolodiazhnyi, Anna Vorontsova, Anton Konushin et al.
One Forward is Enough for Neural Network Training via Likelihood Ratio Method
Jinyang Jiang, Zeliang Zhang, Chenliang Xu et al.
OneLLM: One Framework to Align All Modalities with Language
Jiaming Han, Kaixiong Gong, Yiyuan Zhang et al.
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls
Minghui Hu, Jianbin Zheng, Chuanxia Zheng et al.
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
Ruochen Wang, Sohyun An, Minhao Cheng et al.
One-Prompt to Segment All Medical Images
Wu, Min Xu
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
Lin Li, Haoyan Guan, Jianing Qiu et al.
OneRestore: A Universal Restoration Framework for Composite Degradation
Yu Guo, Yuan Gao, Yuxu Lu et al.
On Error Propagation of Diffusion Models
Yangming Li, Mihaela van der Schaar
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
Sheng-Jun Huang, Yi Li, Yiming Sun et al.
One-Shot Diffusion Mimicker for Handwritten Text Generation
Gang Dai, Yifan Zhang, Quhui Ke et al.
One-shot Empirical Privacy Estimation for Federated Learning
Galen Andrew, Peter Kairouz, Sewoong Oh et al.
One-Shot Open Affordance Learning with Foundation Models
Gen Li, Deqing Sun, Laura Sevilla-Lara et al.
One-Shot Strategic Classification Under Unknown Costs
Elan Rosenfeld, Nir Rosenfeld
One-Shot Structure-Aware Stylized Image Synthesis
Hansam Cho, Jonghyun Lee, Seunggyu Chang et al.
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim, Susik Yoon, Dongmin Park et al.
One-stage Prompt-based Continual Learning
Youngeun Kim, YUHANG LI, Priyadarshini Panda
One-step Diffusion with Distribution Matching Distillation
Tianwei Yin, Michaël Gharbi, Richard Zhang et al.
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
Arvind Mahankali, Tatsunori Hashimoto, Tengyu Ma
OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to-End 3D Trackers
Qitai Wang, Jiawei He, Yuntao Chen et al.
OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework
Wanyun Li, Pinxue Guo, Xinyu Zhou et al.
On Exact Inversion of DPM-Solvers
Seongmin Hong, Kyeonghyun Lee, Suh Yoon Jeon et al.
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models
Christian Horvat, Jean-Pascal Pfister
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
Yi Cai, Gerhard Wunder
On Harmonizing Implicit Subpopulations
Feng Hong, Jiangchao Yao, YUEMING LYU et al.
On Hypothesis Transfer Learning of Functional Linear Models
Haotian Lin, Matthew Reimherr
On Interpolating Experts and Multi-Armed Bandits
Houshuang Chen, Yuchen He, Chihao Zhang
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston et al.
On Least Square Estimation in Softmax Gating Mixture of Experts
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
Online Adaptive Anomaly Thresholding with Confidence Sequences
Sophia Sun, Abishek Sankararaman, Balakrishnan Narayanaswamy
Online Algorithms with Uncertainty-Quantified Predictions
Bo Sun, Jerry Huang, Nicolas Christianson et al.
Online bipartite matching with imperfect advice
Davin Choo, Themis Gouleakis, Chun Kai Ling et al.
Online Cascade Learning for Efficient Inference over Streams
Lunyiu Nie, Zhimin Ding, Erdong Hu et al.
Online conformal prediction with decaying step sizes
Anastasios Angelopoulos, Rina Barber, Stephen Bates