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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)

The FEVER2.0 Shared Task EMNLP 2019 The Implicit Fairness Criterion of Unconstrained Learning ICML 2019 The importance of sharing patient-generated clinical speech and language data NAACL 2019 The Influence of Distraction on Speech Processing: How Selective is Selective Attention? Interspeech 2019 The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution ACL 2019 The Label Complexity of Active Learning from Observational Data NeurIPS 2019 The Language of Legal and Illegal Activity on the Darknet ACL 2019 The Limitations of Adversarial Training and the Blind-Spot Attack ICLR 2019 The many dimensions of algorithmic fairness in educational applications ACL 2019 The Meaning of “Most” for Visual Question Answering Models ACL 2019 The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records MLHC 2019 The Myth of Double-Blind Review Revisited: ACL vs. EMNLP EMNLP 2019 The Neural Correlates Underlying Lexically-Guided Perceptual Learning Interspeech 2019 The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision ICLR 2019 The Open Vault Challenge - Learning How to Build Calibration-Free Interactive Systems by Cracking the Code of a Vault IJCAI 2019 Theoretical evidence for adversarial robustness through randomization NeurIPS 2019 Theory of Minds: Understanding Behavior in Groups through Inverse Planning AAAI 2019 The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue ACL 2019 The Power of Context in Networks: Ideal Point Models with Social Interactions IJCAI 2019 The Price of Fairness for Indivisible Goods IJCAI 2019 The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control IJCAI 2019 The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos CVPR 2019 The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining AAAI 2019 The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks JMLR 2019 The Referential Reader: A Recurrent Entity Network for Anaphora Resolution ACL 2019