Papers
11,951 papers found
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang, Yushun Dong, Chen Chen et al.
Adversarial AutoMixup
Huafeng Qin, Xin Jin, Yun Jiang et al.
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 Feature Map Pruning for Backdoor
Dong HUANG, Qingwen Bu
Adversarial Imitation Learning via Boosting
Jonathan Daniel Chang, Dhruv Sreenivas, Yingbing Huang et al.
Adversarial Robustification via Text-to-Image Diffusion Models
Daewon Choi, Jongheon Jeong, Huiwon Jang et al.
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li, Margret Keuper, Dan Zhang 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
Alexander Robey, Fabian Latorre, George J. Pappas et al.
A Dynamical View of the Question of Why
Mehdi Fatemi, Sindhu C. M. Gowda
A Fast and Provable Algorithm for Sparse Phase Retrieval
Jian-Feng CAI, Yu Long, Ruixue WEN 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.
A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
Huan He, William hao, Yuanzhe Xi et al.
A Foundation Model for Error Correction Codes
Yoni Choukroun, Lior Wolf
"A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation"
Riccardo Fogliato, Pratik Patil, Mathew Monfort et al.
A Framework for Inference Inspired by Human Memory Mechanisms
Xiangyu Zeng, Jie Lin, Piao Hu et al.
A General Framework for User-Guided Bayesian Optimization
Carl Hvarfner, Frank Hutter, Luigi Nardi
AgentBench: Evaluating LLMs as Agents
Xiao Liu, Hao Yu, Hanchen Zhang et al.
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
Weize Chen, Yusheng Su, Jingwei Zuo et al.
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
Yuanwen Yue, Sabarinath Mahadevan, Jonas Schult et al.
A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
Ayan Sengupta, Shantanu Dixit, Md Shad Akhtar et al.
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Jintang Li, Huizhe Zhang, Ruofan Wu et al.
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
Zhengbo Wang, Jian Liang, Lijun Sheng et al.