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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

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

Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias UAI 2019 Causal Confusion in Imitation Learning NeurIPS 2019 Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models ICML 2019 Causal Discovery in the Presence of Missing Data AISTATS 2019 Causal Discovery with General Non-Linear Relationships using Non-Linear ICA UAI 2019 Causal Embeddings for Recommendation: An Extended Abstract IJCAI 2019 Causal Identification under Markov Equivalence: Completeness Results ICML 2019 Causal Inference Under Interference And Network Uncertainty UAI 2019 Causal Learning via Manifold Regularization JMLR 2019 Causal Regularization NeurIPS 2019 CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model ICLR 2019 Certainty Equivalence is Efficient for Linear Quadratic Control NeurIPS 2019 Certifiable Robustness to Graph Perturbations NeurIPS 2019 Certified Adversarial Robustness for Deep Reinforcement Learning CoRL 2019 Certified Adversarial Robustness via Randomized Smoothing ICML 2019 Certified Robustness to Adversarial Word Substitutions EMNLP 2019 Certifying Geometric Robustness of Neural Networks NeurIPS 2019 CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling AAAI 2019 Challenges and frontiers in abusive content detection ACL 2019 Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning AAAI 2019 Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech EMNLP 2019 ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation CVPR 2019 Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019 Channel Gating Neural Networks NeurIPS 2019 Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions NeurIPS 2019