Poster Papers
24,624 papers found • Page 56 of 493
Conference
Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
Letian Peng, Chenyang An, Jingbo Shang
Correlation Clustering Beyond the Pivot Algorithm
Soheil Behnezhad, Moses Charikar, Vincent Cohen-Addad et al.
Correlation Dimension of Autoregressive Large Language Models
Xin Du, Kumiko Tanaka-Ishii
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning
Lei-Lei Ma, Shuo Xu, Ming-Kun Xie et al.
Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
Haoran Wang, Zekun Li, Jian Zhang et al.
Correspondence-Free Fast and Robust Spherical Point Pattern Registration
Anik Sarker, Alan Asbeck
COS3D: Collaborative Open-Vocabulary 3D Segmentation
Runsong Zhu, Ka-Hei Hui, Zhengzhe Liu et al.
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
Wenxu Wang, Rui Zhou, Jing Wang et al.
CoSDH: Communication-Efficient Collaborative Perception via Supply-Demand Awareness and Intermediate-Late Hybridization
Junhao Xu, Yanan Zhang, Zhi Cai et al.
CoSER: Coordinating LLM-Based Persona Simulation of Established Roles
Xintao Wang, Heng Wang, Yifei Zhang et al.
COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation
Fanding Huang, Jingyan Jiang, Qinting Jiang et al.
CoSMIC: Continual Self-supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization
Yihang Liu, Ying Wen, Longzhen Yang et al.
CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
Teresa Huang, Richard Stiskalek, Jun-Young Lee et al.
COSMO: Combination of Selective Memorization for Low-cost Vision-and-Language Navigation
Siqi Zhang, Yanyuan Qiao, Qunbo Wang et al.
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
Sanghwan Kim, Rui Xiao, Iuliana Georgescu et al.
CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models
Yiqi Zhu, Ziyue Wang, Can Zhang et al.
Co-Speech Gesture Video Generation with Implicit Motion-Audio Entanglement
Xinjie Li, Ziyi Chen, Xinlu Yu et al.
CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
Siyuan Cheng, Lingjuan Lyu, Zhenting Wang et al.
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
Ryan Rabinowitz, Steve Cruz, Walter Scheirer et al.
Cost-efficient Collaboration between On-device and Cloud Language Models
Avanika Narayan, Dan Biderman, Sabri Eyuboglu et al.
Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
Ziqi Yuan, Haoyang Zhang, Yirui Zhou et al.
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Zhe Zhang, Mingxiu Cai, Hanxiao Wang et al.
CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition
Kaixiang Yang, Xin Li, Qiang Li et al.
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Zhang, Byungjoo Kim et al.
CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference
Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi
CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step
Zheyuan Liu, Munan Ning, Qihui Zhang et al.
CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval
Zelong Sun, Dong Jing, Zhiwu Lu
CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring
Benjamin Arnav, Pablo Bernabeu-Perez, Nathan Helm-Burger et al.
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
Qingqing Zhao, Yao Lu, Moo Jin Kim et al.
CoUn: Empowering Machine Unlearning via Contrastive Learning
Yasser Khalil, Mehdi Setayesh, Hongliang Li
Counterfactual Concept Bottleneck Models
Gabriele Dominici, Pietro Barbiero, Francesco Giannini et al.
Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation
Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan CAO et al.
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
Stelios Triantafyllou, Aleksa Sukovic, Yasaman Zolfimoselo et al.
Counterfactual Evolution of Multimodal Datasets via Visual Programming
Minghe Gao, Zhongqi Yue, Wenjie Yan et al.
Counterfactual Generative Modeling with Variational Causal Inference
Yulun Wu, Louis McConnell, Claudia Iriondo
Counterfactual Identifiability via Dynamic Optimal Transport
Fabio De Sousa Ribeiro, Ainkaran Santhirasekaram, Ben Glocker
Counterfactual Image Editing with Disentangled Causal Latent Space
Yushu Pan, Elias Bareinboim
Counterfactual Implicit Feedback Modeling
Chuan Zhou, Lina Yao, Haoxuan Li et al.
Counterfactual Realizability
Arvind Raghavan, Elias Bareinboim
Counterfactual reasoning: an analysis of in-context emergence
Moritz Miller, Bernhard Schölkopf, Siyuan Guo
Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
Hanze Guo, Jing Yao, Xiao Zhou et al.
Counting atoms faster: policy-based nuclear magnetic resonance pulse sequencing for atomic abundance measurement
Rohan Shenoy, Evan Coleman, Hans Gaensbauer et al.
Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers
Freya Behrens, Luca Biggio, Lenka Zdeborová
Counting Stacked Objects
Corentin Dumery, Noa Ette, Aoxiang Fan et al.
CountLLM: Towards Generalizable Repetitive Action Counting via Large Language Model
Ziyu Yao, Xuxin Cheng, Zhiqi Huang et al.
Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling
Shayan Mohajer Hamidi, Ben Liang, EN-HUI YANG
Coupling Generative Modeling and an Autoencoder with the Causal Bridge
Ruolin Meng, Ming-Yu Chung, Dhanajit Brahma et al.
Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation
Xu Chen, Yang Li, Yahong Han et al.
Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
Dipam Goswami, Simone Magistri, Kai Wang et al.
Covariate-moderated Empirical Bayes Matrix Factorization
William Denault, Karl Tayeb, Peter Carbonetto et al.