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AAAI 2024

A*

AAAI Conference on Artificial Intelligence

Official site ↗
2,870
accepted papers
2,787
authors
February 20 - February 27, 2024
dates
Canada
location

2,870 / 2,870 papers

  1. 1
    "Allot?" is "A Lot!" Towards Developing More Generalized Speech Recognition System for Accessible Communication
    Grisha Bandodkar
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  2. 2
    'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation
    Zahra Zahedi
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  3. 3
    1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations
    Chandra Chekuri
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  4. 4
    3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands
    Xuan Huang
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  5. 5
    3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation
    Changli Wu
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  6. 6
    A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
    Gabriel Agostini
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  7. 7
    A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition
    Han Lu
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  8. 8
    A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
    Qingsong Wang
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  9. 9
    A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science
    Clayton Cohn
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  10. 10
    A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams
    Rolando Kindelan Nuñez
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  11. 11
    A Closer Look at Curriculum Adversarial Training: From an Online Perspective
    Lianghe Shi
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  12. 12
    A Compiler for Weak Decomposable Negation Normal Form
    Petr Illner
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  13. 13
    A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators
    Chen Zhang
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  14. 14
    A Comprehensive Augmentation Framework for Anomaly Detection
    Jiang Lin
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  15. 15
    A Computation-Aware Shape Loss Function for Point Cloud Completion
    Shunran Zhang
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  16. 16
    A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation
    Mufan Xue
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  17. 17
    A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
    Wenshuo Chao
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  18. 18
    A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging
    Liya Ji
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  19. 19
    A Diffusion-Based Framework for Multi-Class Anomaly Detection
    Haoyang He
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  20. 20
    A Diffusion-Based Pre-training Framework for Crystal Property Prediction
    Zixing Song
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  21. 21
    A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
    Yudong Gao
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  22. 22
    A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
    Shezheng Song
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  23. 23
    A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
    Yongjian Deng
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  24. 24
    A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
    Xiaoming Hu
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  25. 25
    A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem
    Lu Liu
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  26. 26
    A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton
    Vidya Sagar Sharma
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  27. 27
    A Fixed-Point Approach to Unified Prompt-Based Counting
    Wei Lin
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  28. 28
    A Framework for Approaching AI Education in Educator Preparation Programs
    Nancye Blair Black
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  29. 29
    A Framework for Data-Driven Explainability in Mathematical Optimization
    Kevin-Martin Aigner
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  30. 30
    A Framework for Mining Speech-to-Text Transcripts of the Customer for Automated Problem Remediation
    Prateeti Mohapatra
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  31. 31
    A General Implicit Framework for Fast NeRF Composition and Rendering
    Xinyu Gao
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  32. 32
    A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)
    Alexander Braylan
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  33. 33
    A General Search-Based Framework for Generating Textual Counterfactual Explanations
    Daniel Gilo
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  34. 34
    A General Theoretical Framework for Learning Smallest Interpretable Models
    Sebastian Ordyniak
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  35. 35
    A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration
    Zakaria Mehrab
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  36. 36
    A Generalized Neural Diffusion Framework on Graphs
    Yibo Li
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  37. 37
    A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
    E. Chen
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  38. 38
    A Goal Interaction Graph Planning Framework for Conversational Recommendation
    Xiaotong Zhang
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  39. 39
    A Graph Dynamics Prior for Relational Inference
    Liming Pan
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  40. 40
    A Hierarchical Network for Multimodal Document-Level Relation Extraction
    Lingxing Kong
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  41. 41
    A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
    Puning Zhao
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  42. 42
    A Hybrid AI Framework for Sensor-Based Personal Health Monitoring towards Precision Health
    Mbithe Nzomo
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  43. 43
    A Hybrid Global-Local Perception Network for Lane Detection
    Qing Chang
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  44. 44
    A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction
    Ruili Pu
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  45. 45
    A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
    Fan Xu
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  46. 46
    A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis
    Rongchao Zhang
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  47. 47
    A Local-Ascending-Global Learning Strategy for Brain-Computer Interface
    Dongrui Gao
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  48. 48
    A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning
    Neil Thompson
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  49. 49
    A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
    Yongkang Wang
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  50. 50
    A Multimodal, Multi-Task Adapting Framework for Video Action Recognition
    Mengmeng Wang
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