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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 from Demonstration with Weakly Supervised Disentanglement ICLR 2021 Learning from Executions for Semantic Parsing NAACL 2021 Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks AAAI 2021 Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering NeurIPS 2021 Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks AAAI 2021 Learning from others' mistakes: Avoiding dataset biases without modeling them ICLR 2021 Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training ACL 2021 Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration AAAI 2021 Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers AAAI 2021 Learning Generalizable Visual Representations via Interactive Gameplay ICLR 2021 Learning Generalized Gumbel-max Causal Mechanisms NeurIPS 2021 Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning AAAI 2021 Learning Generalized Unsolvability Heuristics for Classical Planning IJCAI 2021 Learning General Planning Policies from Small Examples Without Supervision AAAI 2021 Learning Goals From Failure CVPR 2021 Learning Hard Retrieval Decoder Attention for Transformers EMNLP 2021 Learning How to Solve “Bubble Ball” L4DC 2021 Learning Implicitly with Noisy Data in Linear Arithmetic IJCAI 2021 Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint AISTATS 2021 Learning Inertial Odometry for Dynamic Legged Robot State Estimation CoRL 2021 Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021 Learning in Matrix Games can be Arbitrarily Complex COLT 2021 Learning in Multi-Player Stochastic Games UAI 2021 Learning in Multi-Stage Decentralized Matching Markets NeurIPS 2021 Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021