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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 Neuro-Symbolic Skills for Bilevel Planning CoRL 2022 Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization ACL 2022 Learning Not to Learn: Nature versus Nurture In Silico AAAI 2022 Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning NeurIPS 2022 Learning Object-Oriented Dynamics for Planning from Text ICLR 2022 Learning on Arbitrary Graph Topologies via Predictive Coding NeurIPS 2022 Learning Open Domain Multi-hop Search Using Reinforcement Learning NAACL 2022 Learning Optimal Conformal Classifiers ICLR 2022 Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine MLHC 2022 Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models MLHC 2022 Learning Physical Dynamics with Subequivariant Graph Neural Networks NeurIPS 2022 Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning ACML 2022 Learning Preconditions of Hybrid Force-Velocity Controllers for Contact-Rich Manipulation CoRL 2022 Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds AAAI 2022 Learning Program Representations for Food Images and Cooking Recipes CVPR 2022 Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining ICLR 2022 Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract) IJCAI 2022 Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph ACL 2022 Learning Recourse on Instance Environment to Enhance Prediction Accuracy NeurIPS 2022 Learning Representations that Enable Generalization in Assistive Tasks CoRL 2022 Learning Riemannian Stable Dynamical Systems via Diffeomorphisms CoRL 2022 Learning Road Scene-level Representations via Semantic Region Prediction CoRL 2022 Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022 Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences NeurIPS 2022 Learning Semantics-Aware Locomotion Skills from Human Demonstration CoRL 2022