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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 Intrinsic Sparse Structures within Long Short-Term Memory ICLR 2018 Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction NeurIPS 2018 Learning Loop Invariants for Program Verification NeurIPS 2018 Learning Markov Clustering Networks for Scene Text Detection CVPR 2018 Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots ACL 2018 Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time ICML 2018 Learning Neural Parsers with Deterministic Differentiable Imitation Learning CoRL 2018 Learning Optimal Causal Graphs with Exact Search PGM 2018 Learning Optimal Reserve Price against Non-myopic Bidders NeurIPS 2018 Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs NeurIPS 2018 Learning Out-of-Vocabulary Words in Intelligent Personal Agents IJCAI 2018 Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments CoRL 2018 Learning Parametric Closed-Loop Policies for Markov Potential Games ICLR 2018 Learning Patch Reconstructability for Accelerating Multi-View Stereo CVPR 2018 Learning Patterns for Detection with Multiscale Scan Statistics COLT 2018 Learning Plannable Representations with Causal InfoGAN NeurIPS 2018 Learning Policy Representations in Multiagent Systems ICML 2018 Learning Portable Symbolic Representations IJCAI 2018 Learning Quadratic Variance Function (QVF) DAG Models via OverDispersion Scoring (ODS) JMLR 2018 Learning Safe Policies with Expert Guidance NeurIPS 2018 Learning Semantic Concepts and Order for Image and Sentence Matching CVPR 2018 Learning Semantic Textual Similarity from Conversations ACL 2018 Learning Sequence Encoders for Temporal Knowledge Graph Completion EMNLP 2018 Learning Simplifications for Specific Target Audiences ACL 2018 Learning Sparse Neural Networks through L_0 Regularization ICLR 2018