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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)

Explainability Via Causal Self-Talk NeurIPS 2022 Explainable and Local Correction of Classification Models Using Decision Trees AAAI 2022 Explainable Assessment of Healthcare Articles with QA ACL 2022 Explainable GNN-Based Models over Knowledge Graphs ICLR 2022 Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory AAAI 2022 Explainable Planner Selection for Classical Planning AAAI 2022 Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model ACL 2022 Explainable Question Answering based on Semantic Graph by Global Differentiable Learning and Dynamic Adaptive Reasoning EMNLP 2022 Explainable Reinforcement Learning via Model Transforms NeurIPS 2022 Explainable Shapley-Based Allocation (Student Abstract) AAAI 2022 Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling EMNLP 2022 Explainable Survival Analysis with Convolution-Involved Vision Transformer AAAI 2022 Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations AAAI 2022 Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention CVPR 2022 Explaining Deep Tractable Probabilistic Models: The sum-product network case PGM 2022 Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis NAACL 2022 Explaining Models of Mental Health via Clinically Grounded Auxiliary Tasks NAACL 2022 Explaining Neural NLP Models for the Joint Analysis of Open-and-Closed-Ended Survey Answers NAACL 2022 Explaining Point Processes by Learning Interpretable Temporal Logic Rules ICLR 2022 Explaining Preferences with Shapley Values NeurIPS 2022 Explaining Toxic Text via Knowledge Enhanced Text Generation NAACL 2022 Explaining Translationese: why are Neural Classifiers Better and what do they Learn? EMNLP 2022 Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data NAACL 2022 ExplainIt!: A Tool for Computing Robust Attributions of DNNs IJCAI 2022 Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes NeurIPS 2022