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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)

Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations CVPR 2021 Risk Bounds and Calibration for a Smart Predict-then-Optimize Method NeurIPS 2021 Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021 RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract) AAAI 2021 RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs ICLR 2021 Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract) AAAI 2021 Robot Manipulation Learning Using Generative Adversarial Imitation Learning IJCAI 2021 Robot Reinforcement Learning on the Constraint Manifold CoRL 2021 Robots that Help Humans Build Better Mental Models of Robots AAAI 2021 Robust and Private Learning of Halfspaces AISTATS 2021 Robust Asymmetric Learning in POMDPs ICML 2021 Robust Auction Design in the Auto-bidding World NeurIPS 2021 Robust Audio-Visual Instance Discrimination CVPR 2021 Robust Automatic Monocular Vehicle Speed Estimation for Traffic Surveillance ICCV 2021 Robust Bandit Learning with Imperfect Context AAAI 2021 Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021 Robust Compressed Sensing MRI with Deep Generative Priors NeurIPS 2021 Robust Consistent Video Depth Estimation CVPR 2021 Robust Counterfactual Explanations on Graph Neural Networks NeurIPS 2021 Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation ACML 2021 Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021 Robust Imitation Learning from Noisy Demonstrations AISTATS 2021 Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NeurIPS 2021 Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network ACL 2021