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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)

Accelerating Inference for Pretrained Language Models by Unified Multi-Perspective Early Exiting COLING 2022 Accelerating Shapley Explanation via Contributive Cooperator Selection ICML 2022 Accelerating Sparse Convolution with Column Vector-Wise Sparsity NeurIPS 2022 Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms EMNLP 2022 Acceptability Judgements via Examining the Topology of Attention Maps EMNLP 2022 Accurate Shapley Values for explaining tree-based models AISTATS 2022 ACENet: Attention Guided Commonsense Reasoning on Hybrid Knowledge Graph EMNLP 2022 A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization NeurIPS 2022 Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection ACL 2022 Achieving Counterfactual Fairness for Causal Bandit AAAI 2022 Achieving Fairness at No Utility Cost via Data Reweighing with Influence ICML 2022 Achieving Long-Term Fairness in Sequential Decision Making AAAI 2022 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach AAAI 2022 A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation IJCAI 2022 A Closer Look at How Fine-tuning Changes BERT ACL 2022 A Closer Look at Parameter Contributions When Training Neural Language and Translation Models COLING 2022 A Closer Look at Weakly-Supervised Audio-Visual Source Localization NeurIPS 2022 A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection COLING 2022 A Comparative Analysis between Human-in-the-loop Systems and Large Language Models for Pattern Extraction Tasks EMNLP 2022 A Comparative Study of Faithfulness Metrics for Model Interpretability Methods ACL 2022 A Comparison of Strategies for Source-Free Domain Adaptation ACL 2022 A comparison study on patient-psychologist voice diarization ACL 2022 A Complete Criterion for Value of Information in Soluble Influence Diagrams AAAI 2022 A composable machine-learning approach for steady-state simulations on high-resolution grids NeurIPS 2022 A Computational Acquisition Model for Multimodal Word Categorization NAACL 2022