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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)

Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization ICLR 2023 Interpretable Graph Networks Formulate Universal Algebra Conjectures NeurIPS 2023 Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning MIDL 2023 Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract) IJCAI 2023 Interpretable Math Word Problem Solution Generation via Step-by-step Planning ACL 2023 Interpretable Multimodal Misinformation Detection with Logic Reasoning ACL 2023 Interpretable Neural-Symbolic Concept Reasoning ICML 2023 Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions MLHC 2023 Interpretable Prototype-based Graph Information Bottleneck NeurIPS 2023 Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NeurIPS 2023 Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge Interspeech 2023 Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks IJCAI 2023 Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning EMNLP 2023 Interpreting Embedding Spaces by Conceptualization EMNLP 2023 Interpreting Positional Information in Perspective of Word Order ACL 2023 Interpreting Sentiment Composition with Latent Semantic Tree ACL 2023 Interpreting Unfairness in Graph Neural Networks via Training Node Attribution AAAI 2023 Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction NeurIPS 2023 InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations EMNLP 2023 Intersectional Stereotypes in Large Language Models: Dataset and Analysis EMNLP 2023 Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers L4DC 2023 Interventional Causal Representation Learning ICML 2023 Interventional Probing in High Dimensions: An NLI Case Study EACL 2023 Interventional Rationalization EMNLP 2023 Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees AAAI 2023