2024 Papers
12,324 papers found • Page 8 of 247
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
A Dual-module Framework for Counterfactual Estimation over Time
Xin Wang, Shengfei Lyu, Lishan Yang et al.
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
Yudong Gao, Honglong Chen, Peng Sun et al.
A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
Shezheng Song, Shan Zhao, ChengYu Wang et al.
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 Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
Fangjun Li, David C. Hogg, Anthony G. Cohn
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
Artem Agafonov, Dmitry Kamzolov, Alexander Gasnikov et al.
Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model
Yuxuan Liu, Haizhou Ai, Junliang Xing et al.
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
Xuelong Dai, Kaisheng Liang, Bin Xiao
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model
Decheng Liu, Xijun Wang, Chunlei Peng et al.
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 Attacks on Federated-Learned Adaptive Bitrate Algorithms
Ruixiao Zhang, Tianchi Huang
Adversarial Attacks on the Interpretation of Neuron Activation Maximization
Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty et al.
Adversarial AutoMixup
Huafeng Qin, Xin Jin, Yun Jiang 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 Balanced Representation for Continuous Treatment Effect Estimation
Amirreza Kazemi, Martin Ester
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 Purification with the Manifold Hypothesis
Zhaoyuan Yang, Zhiwei Xu, Jing Zhang 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 Robust Safeguard for Evading Deep Facial Manipulation
Jiazhi Guan, Yi Zhao, Zhuoer Xu et al.
Adversarial Score Distillation: When score distillation meets GAN
Min Wei, Jingkai Zhou, Junyao Sun et al.
Adversarial Socialbots Modeling Based on Structural Information Principles
Xianghua Zeng, Hao Peng, Angsheng Li
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 GCN with Cross-Representation Distillation for Event-Based Learning
Yongjian Deng, Hao Chen, Youfu Li
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
Zhixiong Yang, Jingyuan Xia, Shengxi Li et al.
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
Xiaoming Hu, Zilei Wang