National Conference of the American Association for Artificial Intelligence
AAAI
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
23.8% (2024 main track)
Fields of research
Artificial Intelligence · Computer Vision and Multimedia Computation · Machine Learning
Papers indexed
31,171
1980–2026
Papers per year
19804,920 peak2026
Most published authors
AAAI papers
31,171 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2026 | DIET: Machine Unlearning on a Data-Diet. | Nilakshan Kunananthaseelan, Jing Wu, Trung Le, Gholamreza Haffari, Mehrtash Harandi |
| 2026 | Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint). | Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Alois Moser |
| 2026 | InfrastructureSentinel: Policy Enforced Guardrails for Secure MCP-driven Infrastructure Agents. | Tarun Kumar, Aalap Tripathy, Gayathri Saranathan, Martin Foltin, Suparna Bhattacharya, Scott Hinchley, Donald M. Bahls, David Brookshire, Larry Kaplan, Robert W. Wisniewski |
| 2026 | MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence. | Sonal Kumar, Simon Sedlcek, Vaibhavi Lokegaonkar, Fernando Lpez, Wenyi Yu, Nishit Anand, Hyeonggon Ryu, Lichang Chen, Maxim Plicka, Miroslav Hlavcek, William Fineas Ellingwood, Sathvik Udupa, Siyuan Hou, Allison Ferner, Sara Barahona, Cecilia Bolaos, Satish Rahi, Laura Herrera-Alarcn, Satvik Dixit, Rupali S. Patil, Soham Deshmukh, Lasha Koroshinadze, Yao Liu, Leibny Paola Garca-Perera, Eleni Zanou, Themos Stafylakis, Joon Son Chung, David Harwath, Chao Zhang, Dinesh Manocha, Alicia Lozano-Diez, Santosh Kesiraju, Sreyan Ghosh, Ramani Duraiswami |
| 2026 | Temporal Object-Aware Vision Transformer for Few-Shot Video Object Detection. | Yogesh Kumar, Anand Mishra |
| 2026 | Q-MoFusion: A Quantum Classifier for Masquito Species Classification (Student Abstract). | Vishesh Kumar, Ahana Chanda, Poulomi Bhattacharya, Akshay Agarwal |
| 2026 | Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images. | Aditya Kumar, Tom Blanchard, Adam Dziedzic, Franziska Boenisch |
| 2026 | Building Domain-Specific Small Language Models via Guided Data Generation. | Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta |
| 2026 | Tractable Weighted First-Order Model Counting with Bounded Treewidth Binary Evidence. | Vclav Kula, Qipeng Kuang, Yuyi Wang, Yuanhong Wang, Ondrej Kuzelka |
| 2026 | Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects. | Kohsuke Kubota, Shonosuke Sugasawa |
| 2026 | Cliqueformer: Model-Based Optimization with Structured Transformers. | Jakub Grudzien Kuba, Pieter Abbeel, Sergey Levine |
| 2026 | Generating-Filtering-Ranking: A Three-Stage MultiModal Data Augmentation Framework Under Partial Modality Missing. | Zhirui Kuai, Huan Zhang, Yang Yang, Yiping Ma, Mingjing Huang, Ning Gui, Li Kuang |
| 2026 | CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation. | Chenchen Kuai, Chenhao Wu, Yang Zhou, Xiubin Bruce Wang, Tianbao Yang, Zhengzhong Tu, Zihao Li, Yunlong Zhang |
| 2026 | Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption Through Empirical and Theoretical Analysis. | Lars Krupp, Daniel Geiler, Vishal Banwari, Paul Lukowicz, Jakob Karolus |
| 2026 | The Tatort Test of Intelligence: Towards Narrative Comprehension as a Benchmark for AI. | Stefan Kramer, Lennart Baur, Lars Reinhardt |
| 2026 | Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks. | Deniz Koyuncu, Alex Gittens, Blent Yener, Moti Yung |
| 2026 | TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection. | Girish A. Koushik, Helen Treharne, Aditya Joshi, Diptesh Kanojia |
| 2026 | RLSLM: A Hybrid Framework Combining Reinforcement Learning and a Rule-based Social Locomotion Model for Socially-aware Navigation. | Yitian Kou, Yihe Gu, Chen Zhou, Dandan Zhu, Shu-Guang Kuai |
| 2026 | Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation. | Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai |
| 2026 | When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital. | Avni Kothari, Patrick Vossler, Jean Digitale, Mohammad Forouzannia, Elise Rosenberg, Michele Lee, Jennee Bryant, Melanie F. Molina, James Marks, Lucas Zier, Jean Feng |
| 2026 | Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms. | Ezgi Korkmaz |
| 2026 | SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels. | Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman |
| 2026 | Complex Reasoning over Vision and Language -Leveraging Neurosymbolic AI. | Parisa Kordjamshidi |
| 2026 | GAICo: Demonstrating a Unified Framework for Multi-Modal GenAI Evaluation. | Pallav Koppisetti, Nitin Gupta, Kausik Lakkaraju, Biplav Srivastava |
| 2026 | Can You Tell the Difference? Contrastive Explanations for ABox Entailments. | Patrick Koopmann, Yasir Mahmood, Axel-Cyrille Ngonga Ngomo, Balram Tiwari |
3,301–3,325 of 31,171← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICRAIEEE International Conference on Robotics and Automation
- AInterspeechInterspeech (combined EuroSpeech and ICSLP in 2000)
- AIROSIEEE/RSJ International Conference on Intelligent Robots and Systems
- A*ACLAssociation for Computational Linguistics
- A*IJCAIInternational Joint Conference on Artificial Intelligence
- A*EMNLPEmpirical Methods in Natural Language Processing
- AGECCOGenetic and Evolutionary Computations
- ANAACLNorth American Association for Computational Linguistics