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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)

Incorporating Stock Market Signals for Twitter Stance Detection ACL 2022 Incorporating Subjectivity into Gendered Ambiguous Pronoun (GAP) Resolution using Style Transfer NAACL 2022 Increasing Confidence in Adversarial Robustness Evaluations NeurIPS 2022 Increasing the Cost of Model Extraction with Calibrated Proof of Work ICLR 2022 Incremental Processing of Principle B: Mismatches Between Neural Models and Humans CoNLL 2022 Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection COLING 2022 Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models NeurIPS 2022 INDEPROP: Information-Preserving De-propagandization of News Articles (Student Abstract) AAAI 2022 Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples NeurIPS 2022 In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning NeurIPS 2022 Individual Preference Stability for Clustering ICML 2022 Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022 Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models EMNLP 2022 Inducing Causal Structure for Interpretable Neural Networks ICML 2022 Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence NeurIPS 2022 Inducing Generalizable and Interpretable Lexica EMNLP 2022 Inducing Positive Perspectives with Text Reframing ACL 2022 Inductive Logical Query Answering in Knowledge Graphs NeurIPS 2022 Inductive Relation Prediction by BERT AAAI 2022 Inductive synthesis of finite-state controllers for POMDPs UAI 2022 Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation CVPR 2022 Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022 Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases ACL 2022 Inferring Implicit Relations in Complex Questions with Language Models EMNLP 2022 Inferring Rewards from Language in Context ACL 2022