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Core AI

68,645 papers (13 classified directly here)

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)
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Papers (including subtopics)

Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing Interspeech 2024 Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation NAACL 2024 Explainable Depression Detection Using Large Language Models on Social Media Data EACL 2024 Explainable Earnings Call Representation Learning (Student Abstract) AAAI 2024 Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder AAAI 2024 Explaining Arguments’ Strength: Unveiling the Role of Attacks and Supports IJCAI 2024 Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users CVPR 2024 Explaining Datasets in Words: Statistical Models with Natural Language Parameters NeurIPS 2024 Explaining Generalization Power of a DNN Using Interactive Concepts AAAI 2024 Explaining Graph Neural Networks via Structure-aware Interaction Index ICML 2024 Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs EMNLP 2024 Explaining Kernel Clustering via Decision Trees ICLR 2024 Explaining Language Model Predictions with High-Impact Concepts EACL 2024 Explaining Mixtures of Sources in News Articles EMNLP 2024 Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings COLING 2024 Explaining Probabilistic Models with Distributional Values ICML 2024 Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024 Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features EACL 2024 Explaining Text Similarity in Transformer Models NAACL 2024 Explaining the Hardest Errors of Contextual Embedding Based Classifiers CoNLL 2024 Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions CVPR 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations ICLR 2024 Explain Temporal Black-Box Models via Functional Decomposition ICML 2024 Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts ECCV 2024 Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024