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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)

Causal Inference Through the Structural Causal Marginal Problem ICML 2022 Causal Inference with Non-IID Data using Linear Graphical Models NeurIPS 2022 Causal inference with treatment measurement error: a nonparametric instrumental variable approach UAI 2022 Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition AAAI 2022 Causal Intervention Improves Implicit Sentiment Analysis COLING 2022 Causality-driven Hierarchical Structure Discovery for Reinforcement Learning NeurIPS 2022 Causality Inspired Representation Learning for Domain Generalization CVPR 2022 Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning NeurIPS 2022 Causally motivated multi-shortcut identification and removal NeurIPS 2022 Causally motivated shortcut removal using auxiliary labels AISTATS 2022 CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing EMNLP 2022 CausalQA: A Benchmark for Causal Question Answering COLING 2022 Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors CLeaR 2022 Causal Transformer for Estimating Counterfactual Outcomes ICML 2022 Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations CLeaR 2022 Causes of Effects: Learning Individual Responses from Population Data IJCAI 2022 CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance AAAI 2022 C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image CVPR 2022 CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks AAAI 2022 CC-Top: Constrained Clustering for Dynamic Topic Discovery EMNLP 2022 CDGNet: Class Distribution Guided Network for Human Parsing CVPR 2022 CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior NeurIPS 2022 CEM: Commonsense-Aware Empathetic Response Generation AAAI 2022 CEM: Machine-Human Chatting Handoff via Causal-Enhance Module EMNLP 2022 CerDEQ: Certifiable Deep Equilibrium Model ICML 2022