Poster Papers
24,624 papers found • Page 343 of 493
Conference
Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
Zhihao Li, Yufei Wang, Alex Kot et al.
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
Simon Niedermayr, Josef Stumpfegger, rüdiger westermann
Compressed Context Memory for Online Language Model Interaction
Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun et al.
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras, Peng Wang, Laura Balzano et al.
Compressing Large Language Models by Joint Sparsification and Quantization
Jinyang Guo, Jianyu Wu, Zining Wang et al.
Compressing Latent Space via Least Volume
Qiuyi Chen, Mark Fuge
Compressing LLMs: The Truth is Rarely Pure and Never Simple
AJAY JAISWAL, Zhe Gan, Xianzhi Du et al.
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani et al.
Compute Better Spent: Replacing Dense Layers with Structured Matrices
Shikai Qiu, Andres Potapczynski, Marc Finzi et al.
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.