2024 Poster Papers
8,865 papers found • Page 28 of 178
Computing the Lipschitz constant needed for fast scene recovery from CASSI measurements
Niels Chr. Overgaard, Anders Holst
CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
Jiarui Sun, Girish Chowdhary
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
Vitali Petsiuk, Kate Saenko
Concept Bottleneck Generative Models
Aya Abdelsalam Ismail, Julius Adebayo, Hector Corrada Bravo et al.
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
Shaozhe Hao, Kai Han, Zhengyao Lv et al.
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
Rohit Gandikota, Joanna Materzynska, Tingrui Zhou et al.
Conceptual Codebook Learning for Vision-Language Models
Yi Zhang, Ke Yu, Siqi Wu et al.
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
Gihyun Kwon, Simon Jenni, Ding Li et al.
Concise Plane Arrangements for Low-Poly Surface and Volume Modelling
Raphael Sulzer, Florent Lafarge
ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks
Andrea Rosasco, Stefano Berti, Giulia Pasquale et al.
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection.
Long Li, Nian Liu, Dingwen Zhang et al.
ConDense: Consistent 2D-3D Pre-training for Dense and Sparse Features from Multi-View Images
Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou et al.
Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
Ziwei Jiang, Murat Kocaoglu
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
Debo Cheng, Ziqi Xu, Jiuyong Li et al.
Conditional Language Learning with Context
Xiao Zhang, Miao Li, Ji Wu
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
Yididiya Nadew, Xuhui Fan, Christopher J Quinn
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
Henrik Schopmans, Pascal Friederich
Conditional Variational Diffusion Models
Gabriel della Maggiora, Luis A. Croquevielle, Nikita Deshpande et al.
Condition-Aware Neural Network for Controlled Image Generation
Han Cai, Muyang Li, Qinsheng Zhang et al.
Confidence-aware Contrastive Learning for Selective Classification
Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang et al.
Confidence Aware Inverse Constrained Reinforcement Learning
Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi et al.
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
Kyuyoung Kim, Jongheon Jeong, Minyong An et al.
Confidence-Based Iterative Generation for Real-World Image Super-Resolution
Jialun Peng, Xin Luo, Jingjing Fu et al.
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du, Yifan Zhou, Fan Lyu et al.
Configurable Mirror Descent: Towards a Unification of Decision Making
Pengdeng Li, Shuxin Li, Chang Yang et al.
Conformal Inductive Graph Neural Networks
Soroush H. Zargarbashi, Aleksandar Bojchevski
Conformalized Adaptive Forecasting of Heterogeneous Trajectories
Yanfei Zhou, Lars Lindemann, Matteo Sesia
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
Shi-ang Qi, Yakun Yu, Russell Greiner
Conformal Language Modeling
Victor Quach, Adam Fisch, Tal Schuster et al.
Conformal Prediction for Deep Classifier via Label Ranking
Jianguo Huang, HuaJun Xi, Linjun Zhang et al.
Conformal Prediction Sets Improve Human Decision Making
Jesse Cresswell, yi sui, Bhargava Kumar et al.
Conformal Predictions under Markovian Data
Frédéric Zheng, Alexandre Proutiere
Conformal Prediction via Regression-as-Classification
Etash Guha, Shlok Natarajan, Thomas Möllenhoff et al.
Conformal Prediction with Learned Features
Shayan Kiyani, George J. Pappas, Hamed Hassani
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
Drew Prinster, Samuel Stanton, Anqi Liu et al.
CONFORM: Contrast is All You Need for High-Fidelity Text-to-Image Diffusion Models
Tuna Han Salih Meral, Enis Simsar, Federico Tombari et al.
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
Tsu-Ching Hsiao, Hao-Wei Chen, Hsuan-Kung Yang et al.
ConGeo: Robust Cross-view Geo-localization across Ground View Variations
Li Mi, Chang Xu, Javiera Castillo Navarro et al.
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Bo Peng, Yadan Luo, Yonggang Zhang et al.
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
Yuhui Zhang, Elaine Sui, Serena Yeung
Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation
Zongrui Li, Minghui Hu, Qian Zheng et al.
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo et al.
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
Zhengbo Wang, Jian Liang, Ran He et al.
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou et al.
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
Helen Qu, Sang Michael Xie
ConR: Contrastive Regularizer for Deep Imbalanced Regression
Mahsa Keramati, Lili Meng, R. Evans
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Shruthi Gowda, Bahram Zonooz, Elahe Arani
ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing
Jun-Kun Chen, Samuel Rota Bulò, Norman Müller et al.
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering
Zaid Khan, Yun Fu
Consistency-guided Prompt Learning for Vision-Language Models
Shuvendu Roy, Ali Etemad