AAAI 2024 Papers
2,289 papers found • Page 1 of 46
$z$-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning
Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang
10491 Multi-Granularity Causal Structure Learning
Tianyi Chu, Wei Xing, Jiafu Chen et al.
1066 Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
Yihan Chen, Benfeng Xu, Quan Wang et al.
10725 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
Hai Xia, Stefan Szeider
10783 The Complexity of Optimizing Atomic Congestion
Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram et al.
11293 Cross-Class Feature Augmentation for Class Incremental Learning
Taehoon Kim, JaeYoo Park, Bohyung Han
11879 Distributional Off-Policy Evaluation for Slate Recommendations
Shreyas Chaudhari, David Arbour, Georgios Theocharous et al.
12087 Limitations of Face Image Generation
Harrison Rosenberg, Shimaa Ahmed, Guruprasad Ramesh et al.
12181 What Do Hebbian Learners Learn? Reduction Axioms for Unstable Hebbian Learning
Caleb Schultz Kisby, Saúl Blanco, Larry Moss
1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations
Chandra Chekuri, Pooja Kulkarni, Rucha Kulkarni et al.
1497 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval
Long Tang, Dengpan Ye, Yunna Lv et al.
2043 Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding
Yanmei Zou, Hongshan Yu, Zhengeng Yang et al.
2243 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
Junwei He, Qianqian Xu, Yangbangyan Jiang et al.
2382 SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation
Chengyou Jia, Minnan Luo, Zhuohang Dang et al.
2475 TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification
3426 Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving
Junkai Xu, Liang Peng, Haoran Cheng et al.
3515 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
Yufei Huang, Siyuan Li, Lirong Wu et al.
3752 Decoupled Textual Embeddings for Customized Image Generation
Yufei Cai, Yuxiang Wei, Zhilong Ji et al.
3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands
Xuan Huang, Hanhui Li, Zejun Yang et al.
5602 Consistency-GAN: Training GANs with Consistency Model
Yunpeng Wang, Meng Pang, Shengbo Chen et al.
6385 Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning
Jiangrong Shen, Wenyao Ni, Qi Xu et al.
6402 NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
Linsheng Chen, Guangrun Wang, Liuchun Yuan et al.
7471 PNeRFLoc: Visual Localization with Point-Based Neural Radiance Fields
Boming Zhao, Luwei Yang, Mao Mao et al.
780 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization
Jiaying Zhu, Dong Li, Xueyang Fu et al.
8284 Federated X-armed Bandit
Wenjie Li, Qifan Song, Jean Honorio et al.
8318 Optimal Transport with Tempered Exponential Measures
Ehsan Amid, Frank Nielsen, Richard Nock et al.
8976 PointAttN: You Only Need Attention for Point Cloud Completion
Jun Wang, Ying Cui, Dongyan Guo et al.
964 Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features
Neha Kalibhat, Kanika Narang, Hamed Firooz et al.
AACP: Aesthetics Assessment of Children’s Paintings Based on Self
Supervised Learning
A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition
Han Lu, Xiahai Zhuang, Qiang Luo
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
Qingsong Wang, Zehui Liu, Chunfeng Cui et al.
Abstract Action Scheduling for Optimal Temporal Planning via OMT
Stefan Panjkovic, Andrea Micheli
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning
Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu et al.
Abstraction of Situation Calculus Concurrent Game Structures
Yves Lesperance, Giuseppe De Giacomo, Maryam Rostamigiv et al.
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation
Yuewen Sun, Erli Wang, Biwei Huang et al.
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
Jiayu Chen, Zelai Xu, Yunfei Li et al.
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
12620 Kyle Mana, Fernando Acero, Stephen Mak et al.
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
Zihao Yu, Haoyang Li, Fangcheng Fu et al.
Accelerating the Global Aggregation of Local Explanations
Alon Mor, Yonatan Belinkov, Benny Kimelfeld
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams
Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda et al.
A Closer Look at Curriculum Adversarial Training: From an Online Perspective
Lianghe Shi, Weiwei Liu
A Compiler for Weak Decomposable Negation Normal Form
A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators
Chen Zhang, L. F. D’Haro, Yiming Chen et al.
A Comprehensive Augmentation Framework for Anomaly Detection
Lin Jiang, Yaping Yan
A Computation-Aware Shape Loss Function for Point Cloud Completion
Shunran Zhang, Xiubo Zhang, Tsz Nam Chan et al.
A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation
Mufan Xue, Xinyu Wu, Jinlong Li et al.
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
Wenshuo Chao, Zhaopeng Qiu, Likang Wu et al.
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
Chen-Xiao Gao, Chenyang Wu, Mingjun Cao et al.
Active Learning Guided by Efficient Surrogate Learners
Yunpyo An, Suyeong Park, Kwang In Kim