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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 discovery in a complex industrial system: A time series benchmark CLeaR 2024 Causal Discovery Under Local Privacy CLeaR 2024 Causal Discovery via Conditional Independence Testing with Proxy Variables ICML 2024 Causal Discovery with Deductive Reasoning: One Less Problem UAI 2024 Causal discovery with endogenous context variables NeurIPS 2024 Causal Discovery with Fewer Conditional Independence Tests ICML 2024 Causal Discovery with Generalized Linear Models through Peeling Algorithms JMLR 2024 Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach CLeaR 2024 Causal-Driven Skill Prerequisite Structure Discovery AAAI 2024 Causal Effect Identification in a Sub-Population with Latent Variables NeurIPS 2024 Causal Effect Identification in LiNGAM Models with Latent Confounders ICML 2024 Causal effects of intervening variables in settings with unmeasured confounding JMLR 2024 Causal Estimation of Memorisation Profiles ACL 2024 Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework ICLR 2024 Causal Feature Alignment: Learning To Ignore Spurious Background Features WACV 2024 Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision IJCAI 2024 Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024 CausalGym: Benchmarking causal interpretability methods on linguistic tasks ACL 2024 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models CLeaR 2024 Causal Inference for Human-Language Model Collaboration NAACL 2024 Causal Inference out of Control: Estimating Performativity without Treatment Randomization ICML 2024 Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder ICLR 2024 Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: A Case Study on Hateful Memes COLING 2024 Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference ICML 2024