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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)

BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition AAAI 2022 BayCon: Model-agnostic Bayesian Counterfactual Generator IJCAI 2022 Bayesian Auctions with Efficient Queries (Extended Abstract) IJCAI 2022 Bayesian federated estimation of causal effects from observational data UAI 2022 Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding AISTATS 2022 Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection CVPR 2022 Bayesian Persuasion for Algorithmic Recourse NeurIPS 2022 Bayesian Persuasion in Sequential Decision-Making AAAI 2022 Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NeurIPS 2022 Bayesian subset selection and variable importance for interpretable prediction and classification JMLR 2022 BayesPCN: A Continually Learnable Predictive Coding Associative Memory NeurIPS 2022 BBQ: A hand-built bias benchmark for question answering ACL 2022 B-Cos Networks: Alignment Is All We Need for Interpretability CVPR 2022 ‘Beach’ to ‘Bitch’: Inadvertent Unsafe Transcription of Kids’ Content on YouTube AAAI 2022 BeamR: Beam Reweighing with Attribute Discriminators for Controllable Text Generation AACL 2022 BeautifAI - Personalised Occasion-based Makeup Recommendation ACML 2022 BECEL: Benchmark for Consistency Evaluation of Language Models COLING 2022 Behavior Transformers: Cloning k modes with one stone NeurIPS 2022 Behind the Mask: Demographic bias in name detection for PII masking ACL 2022 Belief Revision Based Caption Re-ranker with Visual Semantic Information COLING 2022 BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation ACL 2022 Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability NeurIPS 2022 Benchmarking Intersectional Biases in NLP NAACL 2022 Benchmarking Language Models for Code Syntax Understanding EMNLP 2022 Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection ACL 2022