2024 Poster Papers
8,865 papers found • Page 6 of 178
ADMap: Anti-disturbance Framework for Vectorized HD Map Construction
Haotian Hu, Fanyi Wang, Yaonong Wang et al.
ADOPD: A Large-Scale Document Page Decomposition Dataset
Jiuxiang Gu, Xiangxi Shi, Jason Kuen et al.
A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
Hongchang Gao
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion
Adeesh Kolluru, John Kitchin
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
Qucheng Peng, Ce Zheng, Chen Chen
Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment
Chen Zhang, Qiang HE, Yuan Zhou et al.
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
Jie Ji, Gen Li, Lu Yin et al.
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models
Fei Shen, Hu Ye, Jun Zhang et al.
Advancing Saliency Ranking with Human Fixations: Dataset Models and Benchmarks
Bowen Deng, Siyang Song, Andrew French et al.
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
Artem Agafonov, Dmitry Kamzolov, Alexander Gasnikov et al.
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
Xuelong Dai, Kaisheng Liang, Bin Xiao
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
Kejun Tang, Jiayu Zhai, Xiaoliang Wan et al.
Adversarial Attacks on Combinatorial Multi-Armed Bandits
Rishab Balasubramanian, Jiawei Li, Tadepalli Prasad et al.
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang, Yushun Dong, Chen Chen et al.
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
Mozhgan Pourkeshavarz, Mohammad Sabokrou, Amir Rasouli
Adversarial Causal Bayesian Optimization
Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova et al.
Adversarial Diffusion Distillation
Axel Sauer, Dominik Lorenz, Andreas Blattmann et al.
Adversarial Distillation Based on Slack Matching and Attribution Region Alignment
Shenglin Yin, Zhen Xiao, Mingxuan Song et al.
AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems
Roye Katzav, Amit Giloni, Edita Grolman et al.
Adversarial Feature Map Pruning for Backdoor
Dong HUANG, Qingwen Bu
Adversarial Imitation Learning via Boosting
Jonathan Chang, Dhruv Sreenivas, Yingbing Huang et al.
Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
Haonan Huang, Guoxu Zhou, Yanghang Zheng et al.
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap
Junhao Dong, Piotr Koniusz, Junxi Chen et al.
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
Junhao Dong, Piotr Koniusz, Junxi Chen et al.
Adversarially Robust Hypothesis Transfer Learning
Yunjuan Wang, Raman Arora
Adversarial Prompt Tuning for Vision-Language Models
Jiaming Zhang, Xingjun Ma, Xin Wang et al.
Adversarial Robustification via Text-to-Image Diffusion Models
Daewon Choi, Jongheon Jeong, Huiwon Jang et al.
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
Brian Bartoldson, James Diffenderfer, Konstantinos Parasyris et al.
Adversarial Score Distillation: When score distillation meets GAN
Min Wei, Jingkai Zhou, Junyao Sun et al.
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li, Margret Keuper, Dan Zhang et al.
Adversarial Text to Continuous Image Generation
Kilichbek Haydarov, Aashiq Muhamed, Xiaoqian Shen et al.
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
Guang Lin, Chao Li, Jianhai Zhang et al.
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Alex Robey, Fabian Latorre, George Pappas et al.
A Dynamic Algorithm for Weighted Submodular Cover Problem
Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi et al.
A Dynamical Model of Neural Scaling Laws
Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan
A Dynamical View of the Question of Why
Mehdi Fatemi, Sindhu Chatralinganadoddi Mariyappa Gowda
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
Zhixiong Yang, Jingyuan Xia, Shengxi Li et al.
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion
Zhiheng Fu, Longguang Wang, Lian Xu et al.
AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning
Dong Chen, Hongyuan Qu, Guangwu Xu
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery
Yuqi Zhang, Guanying Chen, Jiaxing Chen et al.
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error
Jonas Ricker, Denis Lukovnikov, Asja Fischer
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
Taeckyung Lee, Sorn Chottananurak, Taesik Gong et al.
A Fair Ranking and New Model for Panoptic Scene Graph Generation
Julian Lorenz, Alexander Pest, Daniel Kienzle et al.
A fast algorithm to simulate nonlinear resistive networks
Benjamin Scellier
A Fast and Provable Algorithm for Sparse Phase Retrieval
Jian-Feng Cai, Yu Long, Ruixue WEN et al.
A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
Xinwen Zhang, Ali Payani, Myungjin Lee et al.
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations
KILICHBEK HAYDAROV, Xiaoqian Shen, Avinash Madasu et al.
Affine Equivariant Networks Based on Differential Invariants
Yikang Li, Yeqing Qiu, Yuxuan Chen et al.
AffineQuant: Affine Transformation Quantization for Large Language Models
Yuexiao Ma, Huixia Li, Xiawu Zheng et al.
Affine steerers for structured keypoint description
Georg Bökman, Johan Edstedt, Michael Felsberg et al.