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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)

Learning Interpretable Representations with Informative Entanglements IJCAI 2020 Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020 Learning Invariants through Soft Unification NeurIPS 2020 Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume AAAI 2020 Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders UAI 2020 Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems EMNLP 2020 Learning Labeled Robot Affordance Models Using Simulations and Crowdsourcing RSS 2020 Learning Large Logic Programs By Going Beyond Entailment IJCAI 2020 Learning Latent Representations to Influence Multi-Agent Interaction CoRL 2020 Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020 Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption AAAI 2020 Learning Longterm Representations for Person Re-Identification Using Radio Signals CVPR 2020 Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation AAAI 2020 Learning Memory-Based Control for Human-Scale Bipedal Locomotion RSS 2020 Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020 Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks NeurIPS 2020 Learning Multimodal Representations for Unseen Activities WACV 2020 Learning Multi-View Camera Relocalization With Graph Neural Networks CVPR 2020 Learning Navigation Costs from Demonstrations with Semantic Observations L4DC 2020 Learning Nearly Decomposable Value Functions Via Communication Minimization ICLR 2020 Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS) IJCAI 2020 Learning nonlinear dynamical systems from a single trajectory L4DC 2020 Learning Obstacle Representations for Neural Motion Planning CoRL 2020 Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020 Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs IJCAI 2020