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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)

Reinforcement Learning of Sequential Price Mechanisms AAAI 2021 Reinforcement Learning Under Moral Uncertainty ICML 2021 Reinforcement Learning with Latent Flow NeurIPS 2021 Reinforcement Learning with Random Delays ICLR 2021 Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes NeurIPS 2021 Relating Adversarially Robust Generalization to Flat Minima ICCV 2021 Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models ICLR 2021 Relating Neural Text Degeneration to Exposure Bias EMNLP 2021 Relational Data Selection for Data Augmentation of Speaker-Dependent Multi-Band MelGAN Vocoder Interspeech 2021 Relation Also Need Attention: Integrating Relation Information Into Image Captioning ACML 2021 Relational World Knowledge Representation in Contextual Language Models: A Review EMNLP 2021 Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering CoNLL 2021 Relation-aware Graph Attention Model with Adaptive Self-adversarial Training AAAI 2021 Relation-aware Video Reading Comprehension for Temporal Language Grounding EMNLP 2021 Relation Classification with Cognitive Attention Supervision NAACL 2021 Relation-Guided Pre-Training for Open-Domain Question Answering EMNLP 2021 Relative Importance in Sentence Processing ACL 2021 Relative Positional Encoding for Transformers with Linear Complexity ICML 2021 Relative Variational Intrinsic Control AAAI 2021 Relaxed Core Stability in Fractional Hedonic Games IJCAI 2021 Relaxed Marginal Consistency for Differentially Private Query Answering NeurIPS 2021 Relevance-CAM: Your Model Already Knows Where To Look CVPR 2021 Reliability Testing for Natural Language Processing Systems ACL 2021 Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions NeurIPS 2021 Reliable Decisions with Threshold Calibration NeurIPS 2021