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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Experimental Observations of the Topology of Convolutional Neural Network Activations AAAI 2023 Expert-Defined Keywords Improve Interpretability of Retinal Image Captioning WACV 2023 Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making ICML 2023 Explainability as statistical inference ICML 2023 Explainability-Aware One Point Attack for Point Cloud Neural Networks WACV 2023 Explainable and Efficient Randomized Voting Rules NeurIPS 2023 Explainable Brain Age Prediction using coVariance Neural Networks NeurIPS 2023 Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models EMNLP 2023 Explainable Data-Driven Optimization: From Context to Decision and Back Again ICML 2023 Explainable Multi-Agent Reinforcement Learning for Temporal Queries IJCAI 2023 Explainable Recommendation with Personalized Review Retrieval and Aspect Learning ACL 2023 Explainable Reinforcement Learning via a Causal World Model IJCAI 2023 Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation IJCAI 2023 Explain Any Concept: Segment Anything Meets Concept-Based Explanation NeurIPS 2023 ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination EMNLP 2023 Explaining Data Patterns in Natural Language with Language Models EMNLP 2023 Explaining How Transformers Use Context to Build Predictions ACL 2023 Explaining Image Classifiers With Multiscale Directional Image Representation CVPR 2023 Explaining Interactions Between Text Spans EMNLP 2023 Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract) AAAI 2023 Explaining Predictive Uncertainty with Information Theoretic Shapley Values NeurIPS 2023 Explaining Random Forests Using Bipolar Argumentation and Markov Networks AAAI 2023 Explaining Reinforcement Learning with Shapley Values ICML 2023 Explaining RL Decisions with Trajectories ICLR 2023 Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues AAAI 2023