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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 15374 items.
  • Graph Convolutional Networks With Argument-Aware Pooling for Event Detection

    Thien Nguyen, Ralph Grishman
    2018-04-26
  • Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction

    Changping Meng, S Chandra Mouli, Bruno Ribeiro, Jennifer Neville
    2018-04-29
  • Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract)

    Fangyuan Luo, Jun Wu
    23569-23570
    2024-03-24
  • Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination

    Lingdu Kong, Xiaochun Yang, Tieying Li, Bin Wang, Xiangmin Zhou
    11959-11967
    2025-04-11
  • Impute Missing Entries with Uncertainty

    Jaesung Lim, Seunghwan An, Jong-June Jeon
    23514-23522
    2026-03-14
  • ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models

    Zhongyuan Wu, Jingyuan Wang, Zexuan Cheng, Yilong Zhou, Weizhi Wang, Juhua Pu, Chao Li, Changqing Ma
    15986-15994
    2026-03-14
  • Improving Deep Learning Speed and Performance Through Synaptic Neural Balance

    Antonios Alexos, Ian Domingo, Pierre Baldi
    15339-15346
    2025-04-11
  • Predicting Falls of a Humanoid Robot through Machine Learning

    Shivaram Kalyanakrishnan, Ambarish Goswami
    1793-1798
    2010-07-11
  • Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability

    Kyle Richardson, Ashish Sabharwal
    11209-11219
    2022-06-28
  • Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning

    Bang Yang, Yong Dai, Xuxin Cheng, Yaowei Li, Asif Raza, Yuexian Zou
    6458-6466
    2024-03-24
  • Persistent Homology through Image Segmentation (Student Abstract)

    Joshua Slater, Thomas Weighill
    16332-16333
    2024-07-15
  • Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance

    Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani
    22393-22400
    2024-03-24
  • Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning

    Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei
    5052-5060
    2024-03-24
  • Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions

    Mohammad Rostami, Aram Galstyan
    9623-9631
    2023-06-26
  • Aligning Cross-View Visual Geometries in LVLMs Through Human-Like Reasoning Learning

    Yuming Qiao, Liang Luo, Dan Meng, Yifan Yang, Qingyuan Wang, Juntuo Wang, Yuwei Zhang, Ru Zhen, Yanhao Zhang, Haonan Lu, Xudong Zhang
    19345-19353
    2026-03-14
  • Learning Relational Causal Models with Cycles through Relational Acyclification

    Ragib Ahsan, David Arbour, Elena Zheleva
    12164-12171
    2023-06-26
  • Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling

    Jakob Hollenstein, Georg Martius, Justus Piater
    12466-12472
    2024-03-24
  • Biped Walk Learning Through Playback and Corrective Demonstration

    Cetin Mericli, Manuela Veloso
    1594-1599
    2010-07-05
  • Better Peer Grading through Bayesian Inference

    Hedayat Zarkoob, Greg d'Eon, Lena Podina, Kevin Leyton-Brown
    6137-6144
    2023-06-26
  • Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization

    Jianing Wang, Yang Zhou, Xiaocheng Zhang, Mengjiao Bao, Peng Yan
    25362-25370
    2025-04-11
  • TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning

    Xiang Li, Yunshi Lan, Chao Yang
    24485-24493
    2025-04-11
  • Estimating Identifiable Causal Effects through Double Machine Learning

    Yonghan Jung, Jin Tian, Elias Bareinboim
    12113-12122
    2021-05-18
  • Mitigating Political Bias in Language Models through Reinforced Calibration

    Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi
    14857-14866
    2021-05-18
  • Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning

    Yan-Kai Liu, Jinyu Cai, Bao-Liang Lu, Wei-Long Zheng
    1438-1446
    2025-04-11
  • Leaping through Time with Gradient-Based Adaptation for Recommendation

    Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
    6141-6149
    2022-06-28
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