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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
'5
'10
'15
'20
'25

Papers (including subtopics)

Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023 Learning Neural PDE Solvers with Parameter-Guided Channel Attention ICML 2023 Learning Neuro-Symbolic World Models with Conversational Proprioception ACL 2023 Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback ACL 2023 Learning Nonlinear Causal Effect via Kernel Anchor Regression UAI 2023 Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency ACL 2023 Learning Nonparametric Latent Causal Graphs with Unknown Interventions NeurIPS 2023 Learning “O” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER ACL 2023 Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection CVPR 2023 Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs L4DC 2023 Learning Optimal Features via Partial Invariance AAAI 2023 Learning Optimal Feedback Operators and their Sparse Polynomial Approximations JMLR 2023 Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments JMLR 2023 Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos CVPR 2023 Learning Perturbations to Explain Time Series Predictions ICML 2023 Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing AAAI 2023 Learning Preference Model for LLMs via Automatic Preference Data Generation EMNLP 2023 Learning Prescriptive ReLU Networks ICML 2023 Learning Procedure-Aware Video Representation From Instructional Videos and Their Narrations CVPR 2023 Learning Program Synthesis for Integer Sequences from Scratch AAAI 2023 Learning Rationalizable Equilibria in Multiplayer Games ICLR 2023 Learning Rational Subgoals from Demonstrations and Instructions AAAI 2023 Learning Realistic Traffic Agents in Closed-loop CoRL 2023 Learning Relational Causal Models with Cycles through Relational Acyclification AAAI 2023 Learning Retrieval Augmentation for Personalized Dialogue Generation EMNLP 2023