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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

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11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Conditionally independent data generation UAI 2021 Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems NeurIPS 2021 Conditional probing: measuring usable information beyond a baseline EMNLP 2021 Condition number bounds for causal inference UAI 2021 CondLaneNet: A Top-To-Down Lane Detection Framework Based on Conditional Convolution ICCV 2021 ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs NeurIPS 2021 Confidence in causal discovery with linear causal models UAI 2021 Configurable Privacy-Preserving Automatic Speech Recognition Interspeech 2021 Connecting Attributions and QA Model Behavior on Realistic Counterfactuals EMNLP 2021 Connecting Interpretability and Robustness in Decision Trees through Separation ICML 2021 Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results ICML 2021 Connecting What To Say With Where To Look by Modeling Human Attention Traces CVPR 2021 ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension EMNLP 2021 Consensus Graph Representation Learning for Better Grounded Image Captioning AAAI 2021 Conservative Safety Critics for Exploration ICLR 2021 Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer EMNLP 2021 Consistency-Aware Graph Network for Human Interaction Understanding ICCV 2021 Consistent Nonparametric Methods for Network Assisted Covariate Estimation ICML 2021 Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM AAAI 2021 Constrained Risk-Averse Markov Decision Processes AAAI 2021 Constraint-Driven Learning of Logic Programs AAAI 2021 Constructing a Fair Classifier with Generated Fair Data AAAI 2021 Constructing a Psychometric Testbed for Fair Natural Language Processing EMNLP 2021 Constructing Emotional Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation EMNLP 2021 Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images ACL 2021