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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)

Equivariant Graph Mechanics Networks with Constraints ICLR 2022 Equivariant Networks for Zero-Shot Coordination NeurIPS 2022 Equivariant Transduction through Invariant Alignment COLING 2022 ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions AAAI 2022 ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification COLING 2022 Error Amplification When Updating Deployed Machine Learning Models MLHC 2022 Error Correction Code Transformer NeurIPS 2022 ER-Test: Evaluating Explanation Regularization Methods for Language Models EMNLP 2022 ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine NeurIPS 2022 Establishing a Baseline for Arabic Patents Classification: A Comparison of Twelve Approaches EMNLP 2022 Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores JMLR 2022 Estimating Example Difficulty Using Variance of Gradients CVPR 2022 Estimating Social Influence from Observational Data CLeaR 2022 Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score JMLR 2022 Estimation of Local Average Treatment Effect by Data Combination AAAI 2022 ET5: A Novel End-to-end Framework for Conversational Machine Reading Comprehension COLING 2022 Ethical Considerations for Low-resourced Machine Translation ACL 2022 Ethics consideration sections in natural language processing papers EMNLP 2022 Ethics Sheets for AI Tasks ACL 2022 Eureka: Neural Insight Learning for Knowledge Graph Reasoning COLING 2022 Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022 Evaluating Agent Interactions Through Episodic Knowledge Graphs COLING 2022 Evaluating and Improving Factuality in Multimodal Abstractive Summarization EMNLP 2022 Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals WACV 2022 Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference COLING 2022