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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)

Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL ICML 2022 Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms JMLR 2022 Policy Gradients Incorporating the Future ICLR 2022 Policy Gradient With Serial Markov Chain Reasoning NeurIPS 2022 Policy improvement by planning with Gumbel ICLR 2022 Policy Learning for Optimal Individualized Dose Intervals AISTATS 2022 Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence NeurIPS 2022 Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems NeurIPS 2022 Policy Optimization with Linear Temporal Logic Constraints NeurIPS 2022 Policy Smoothing for Provably Robust Reinforcement Learning ICLR 2022 Polite Task-oriented Dialog Agents: To Generate or to Rewrite? ACL 2022 POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection NAACL 2022 PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space AAAI 2022 Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games NeurIPS 2022 PolyWorld: Polygonal Building Extraction With Graph Neural Networks in Satellite Images CVPR 2022 PONI: Potential Functions for ObjectGoal Navigation With Interaction-Free Learning CVPR 2022 Pose Guided Human Image Synthesis with Partially Decoupled GAN ACML 2022 PoseKernelLifter: Metric Lifting of 3D Human Pose Using Sound CVPR 2022 Positional Encoding for Capturing Modality Specific Cadence for Emotion Detection Interspeech 2022 Possibility Before Utility: Learning And Using Hierarchical Affordances ICLR 2022 Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios COLING 2022 PosterBot: A System for Generating Posters of Scientific Papers with Neural Models AAAI 2022 Post-hoc analysis of Arabic transformer models EMNLP 2022 Post-hoc estimators for learning to defer to an expert NeurIPS 2022