2024 Poster Papers
8,865 papers found • Page 10 of 178
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar et al.
A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
Sharath Raghvendra, Pouyan Shirzadian, Kaiyi Zhang
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
Jiayi Wang, Shiqiang Wang, Rong-Rong Chen et al.
An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought
Chunhao LU, Qiang Lu, Jake Luo
An Explicit Frame Construction for Normalizing 3D Point Clouds
Justin Baker, Shih-Hsin Wang, Tommaso de Fernex et al.
An Extensible Framework for Open Heterogeneous Collaborative Perception
Yifan Lu, Yue Hu, Yiqi Zhong et al.
ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image
Marco Pesavento, Yuanlu Xu, Nikolaos Sarafianos et al.
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
Liang Chen, Haozhe Zhao, Tianyu Liu et al.
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
Chen Jin, Ryutaro Tanno, Amrutha Saseendran et al.
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos
Remy Sabathier, David Novotny, Niloy Mitra
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation
Xinzhou Wang, Yikai Wang, junliang ye et al.
Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling
Zhe Li, Zerong Zheng, Lizhen Wang et al.
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
Li Hu
AnimateMe: 4D Facial Expressions via Diffusion Models
Dimitrios Gerogiannis, Foivos Paraperas Papantoniou, Rolandos Alexandros Potamias et al.
Animate Your Motion: Turning Still Images into Dynamic Videos
Mingxiao Li, Bo Wan, Marie-Francine Moens et al.
Animating General Image with Large Visual Motion Model
Dengsheng Chen, Xiaoming Wei, Xiaolin Wei
An improved analysis of per-sample and per-update clipping in federated learning
Bo Li, Xiaowen Jiang, Mikkel N. Schmidt et al.
An Incremental Unified Framework for Small Defect Inspection
Jiaqi Tang, Hao Lu, Xiaogang Xu et al.
An Independence-promoting Loss for Music Generation with Language Models
Jean-Marie Lemercier, Simon Rouard, Jade Copet et al.
An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
Taeyoung Kim, Hongseok Yang
An Information Theoretical View for Out-Of-Distribution Detection
Jinjing Hu, Wenrui Liu, Hong Chang et al.
An Information-Theoretic Analysis of In-Context Learning
Hong Jun Jeon, Jason Lee, Qi Lei et al.
An Information Theoretic Approach to Interaction-Grounded Learning
Xiaoyan Hu, Farzan Farnia, Ho-fung Leung
An Interactive Navigation Method with Effect-oriented Affordance
Xiaohan Wang, Yuehu LIU, Xinhang Song et al.
An interpretable error correction method for enhancing code-to-code translation
Min Xue, Artur Andrzejak, Marla Leuther
An Interpretable Evaluation of Entropy-based Novelty of Generative Models
Jingwei Zhang, Cheuk Ting Li, Farzan Farnia
An Intrinsic Vector Heat Network
Alexander Gao, Maurice Chu, Mubbasir Kapadia et al.
An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
Dongwon Son, Jaehyung Kim, Sanghyeon Son et al.
An Investigation of Representation and Allocation Harms in Contrastive Learning
Subha Maity, Mayank Agarwal, Mikhail Yurochkin et al.
An Iterative Min-Min Optimization Method for Sparse Bayesian Learning
Yasen Wang, Junlin Li, Zuogong Yue et al.
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Xilie Xu, Keyi Kong, Ning Liu et al.
An LLM Compiler for Parallel Function Calling
Sehoon Kim, Suhong Moon, Ryan Tabrizi et al.
Annealing Self-Distillation Rectification Improves Adversarial Training
Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras
Ling Gao, Daniel Gehrig, Hang Su et al.
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise?
Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Qihang Zhou, Guansong Pang, Yu Tian et al.
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Jiawen Zhu, Choubo Ding, Yu Tian et al.
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
Jaehui Hwang, Junghyuk Lee, Jong-Seok Lee
An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
Emre Sahinoglu, Shahin Shahrampour
An operator preconditioning perspective on training in physics-informed machine learning
Tim De Ryck, Florent Bonnet, Siddhartha Mishra et al.
An Optimal Control View of LoRA and Binary Controller Design for Vision Transformers
CHI Zhang, Jingpu Cheng, Qianxiao Li
An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes
Zhengyi Zhao, Chen Song, Xiaodong Gu et al.
Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints
Tian Zhu, Milong Ren, Haicang Zhang
An Unforgeable Publicly Verifiable Watermark for Large Language Models
Aiwei Liu, Leyi Pan, Xuming Hu et al.
An Unsupervised Approach for Periodic Source Detection in Time Series
Berken Utku Demirel, Christian Holz
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
Jianqing Zhang, Yang Liu, Yang Hua et al.
Any2Point: Empowering Any-modality Transformers for Efficient 3D Understanding
YIWEN TANG, Renrui Zhang, Jiaming Liu et al.
AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation
Sun Yanan, Yanchen Liu, Yinhao Tang et al.
AnyDoor: Zero-shot Object-level Image Customization
Xi Chen, Lianghua Huang, Yu Liu et al.
AnyHome: Open-Vocabulary Large-Scale Indoor Scene Generation with First-Person View Exploration
Rao Fu, Zehao Wen, Zichen Liu et al.