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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)

Object Goal Navigation using Goal-Oriented Semantic Exploration NeurIPS 2020 Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020 Object Relational Graph With Teacher-Recommended Learning for Video Captioning CVPR 2020 Observational Overfitting in Reinforcement Learning ICLR 2020 Obtaining Faithful Interpretations from Compositional Neural Networks ACL 2020 OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020 OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression CVPR 2020 ODSS: Efficient Hybridization for Optimal Coalition Structure Generation AAAI 2020 Off-Policy Evaluation in Partially Observable Environments AAAI 2020 Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding NeurIPS 2020 Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm CVPR 2020 OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting AAAI 2020 On 1/n neural representation and robustness NeurIPS 2020 On Adaptive Attacks to Adversarial Example Defenses NeurIPS 2020 Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NeurIPS 2020 Once-for-All: Train One Network and Specialize it for Efficient Deployment ICLR 2020 On Completeness-aware Concept-Based Explanations in Deep Neural Networks NeurIPS 2020 On Computational Aspects of Iterated Belief Change IJCAI 2020 O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers NeurIPS 2020 On Correctness of Automatic Differentiation for Non-Differentiable Functions NeurIPS 2020 On Counterfactual Explanations under Predictive Multiplicity UAI 2020 On Efficiency in Hierarchical Reinforcement Learning NeurIPS 2020 On Efficient Adjustment in Causal Graphs JMLR 2020 One Homonym per Translation AAAI 2020 One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples CVPR 2020