All Papers
34,598 papers found • Page 68 of 692
Conference
Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
Leonhard Sommer, Olaf Dünkel, Christian Theobalt et al.
Common Sense Bias Modeling for Classification Tasks
Miao Zhang, Zee Fryer, Ben Colman et al.
Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning
Huabin Liu, Filip Ilievski, Cees G. M. Snoek
Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
Philippe Wyder, Judah Goldfeder, Alexey Yermakov et al.
Communicating Activations Between Language Model Agents
Vignav Ramesh, Kenneth Li
Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism
Kunyun Wang, Bohan Li, Kai Yu et al.
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo
Zachary Charles, Gabriel Teston, Lucio Dery et al.
Communication-Efficient Multi-Vehicle Collaborative Semantic Segmentation via Sparse 3D Gaussian Sharing
Tianyu Hong, Xiaobo Zhou, Wenkai Hu et al.
Community-Aware Variational Autoencoder for Continuous Dynamic Networks
Junwei Cheng, Chaobo He, Pengxing Feng et al.
Community-Centric Graph Unlearning
Yi Li, Shichao Zhang, Guixian Zhang et al.
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors
Jeongsoo Park, Andrew Owens
Commute Graph Neural Networks
Wei Zhuo, Han Yu, Guang Tan et al.
CommVQ: Commutative Vector Quantization for KV Cache Compression
Junyan Li, Yang Zhang, Muhammad Yusuf Hassan et al.
CoMoGaussian: Continuous Motion-Aware Gaussian Splatting from Motion-Blurred Images
Jungho Lee, DongHyeong Kim, Dogyoon Lee et al.
CO-MOT: Boosting End-to-end Transformer-based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets
feng yan, Weixin Luo, Yujie Zhong et al.
CoMotion: Concurrent Multi-person 3D Motion
Alejandro Newell, Peiyun Hu, Lahav Lipson et al.
Compact Matrix Quantum Group Equivariant Neural Networks
Edward Pearce-Crump
Compact Memory for Continual Logistic Regression
Yohan Jung, Hyungi Lee, Wenlong Chen et al.
Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
Soumita Hait, Ping Li, Haipeng Luo et al.
Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries
Xuening Feng, Zhaohui Jiang, Timo Kaufmann et al.
Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method
Kiran Thekumparampil, Gaurush Hiranandani, Kousha Kalantari et al.
Comparing Hand and Controller Avatars with Hand Tracking and Controller-Based Interaction
Natalia P Ocampo, J. Felipe Gonzalez, Robert J Teather
Comparing noisy neural population dynamics using optimal transport distances
Amin Nejatbakhsh, Victor Geadah, Alex Williams et al.
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
Vibhhu Sharma, Bryan Wilder
Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
Marius Potfer, Vianney Perchet
Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
Alex Chouldechova, A. Feder Cooper, Solon Barocas et al.
Compass Control: Multi Object Orientation Control for Text-to-Image Generation
Rishubh Parihar, Vaibhav Agrawal, Sachidanand VS et al.
CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models
Gaoyang Zhang, Bingtao Fu, Qingnan Fan et al.
CompCap: Improving Multimodal Large Language Models with Composite Captions
Xiaohui Chen, Satya Narayan Shukla, Mahmoud Azab et al.
ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
Tianxin Huang, Zhiwen Yan, Yuyang Zhao et al.
Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training
Max Milkert, David Hyde, Forrest Laine
Competing Bandits in Matching Markets via Super Stability
Soumya Basu
Competing Large Language Models in Multi-Agent Gaming Environments
Jen-Tse Huang, Eric John Li, Man Ho LAM et al.
Competition Dynamics Shape Algorithmic Phases of In-Context Learning
Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka
Competitive Advantage Attacks to Decentralized Federated Learning
Yuqi Jia, Minghong Fang, Neil Gong
Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification
Daqian Shi, Xiaolei Diao, Xu Chen et al.
Competitive Fair Scheduling with Predictions
Tianming Zhao, Chunqiu xia, Xiaomin Chang et al.
Competitively Consistent Clustering
Niv Buchbinder, Roie Levin, Yue Yang
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians
Chongjian GE, Chenfeng Xu, Yuanfeng Ji et al.
Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning
Haolin Pan, Hongyu Lin, Haoran Luo et al.
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
Yuchen Wang, Hongyuan Wang, Lizhi Wang et al.
Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement
Yuhang Li, Zhuying Li, Yuheng Jia
CompleteMe: Reference-based Human Image Completion
Yu-Ju Tsai, Brian Price, Qing Liu et al.
Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
Yang Chen, Yirun Zhou, Weizhong Zhang et al.
Complete Symmetry Breaking for Finite Models
Marek Dančo, Mikoláš Janota, Michael Codish et al.
Complete-Tree Space Favors Data-Efficient Link Prediction
Chi Gao, Lukai Li, Yancheng Zhou et al.
Completing 3D Partial Assemblies with View-Consistent 2D-3D Correspondence
Weihao Wang, Yu Lan, Mingyu You et al.
Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion
Zhiqiang Yan, Zhengxue Wang, Kun Wang et al.
Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement
Yi Li, Yang Sun, Plamen P Angelov
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
Eduard Zamfir, Zongwei Wu, Nancy Mehta et al.