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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 Black-Box Attackers with Transferable Priors and Query Feedback NeurIPS 2020 Learning Calibratable Policies using Programmatic Style-Consistency ICML 2020 Learning Causal Networks via Additive Faithfulness JMLR 2020 Learning Certified Individually Fair Representations NeurIPS 2020 Learning Code Changes by Exploiting Bidirectional Converting Deviation ACML 2020 Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning EMNLP 2020 Learning Compositional Koopman Operators for Model-Based Control ICLR 2020 Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning ICML 2020 Learning Constraints for Structured Prediction Using Rectifier Networks ACL 2020 Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020 Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network IJCAI 2020 Learning deep graph matching with channel-independent embedding and Hungarian attention ICLR 2020 Learning Dialog Policies from Weak Demonstrations ACL 2020 Learning Differentiable Programs with Admissible Neural Heuristics NeurIPS 2020 Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract) AAAI 2020 Learning Disentangled Representations and Group Structure of Dynamical Environments NeurIPS 2020 Learning Disentangled Representations for CounterFactual Regression ICLR 2020 Learning Dynamical Systems with Side Information L4DC 2020 Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes AISTATS 2020 Learning Dynamic Belief Graphs to Generalize on Text-Based Games NeurIPS 2020 Learning Dynamic Context Graph Embedding ACML 2020 Learning Efficient Dialogue Policy from Demonstrations through Shaping ACL 2020 Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020 Learning Equality Constraints for Motion Planning on Manifolds CoRL 2020 Learning Expensive Coordination: An Event-Based Deep RL Approach ICLR 2020