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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)

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition ICLR 2022 DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations ACL 2022 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NeurIPS 2022 Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records NeurIPS 2022 Debiased Machine Learning without Sample-Splitting for Stable Estimators NeurIPS 2022 De-Bias for Generative Extraction in Unified NER Task ACL 2022 Debiasing Event Understanding for Visual Commonsense Tasks ACL 2022 Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure NeurIPS 2022 Debiasing Isn’t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks COLING 2022 Debiasing Masks: A New Framework for Shortcut Mitigation in NLU EMNLP 2022 Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning AAAI 2022 Debiasing Pre-Trained Language Models via Efficient Fine-Tuning ACL 2022 Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention EMNLP 2022 Debugging the OmniTable Way OSDI 2022 DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks NAACL 2022 Decentralized Autonomous Organizations and Multi-agent Systems for Artificial Intelligence Applications and Data Analysis IJCAI 2022 Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets NeurIPS 2022 Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach CoRL 2022 Decentralized Mean Field Games AAAI 2022 Decentralized Online Convex Optimization in Networked Systems ICML 2022 Decentralized Training of Foundation Models in Heterogeneous Environments NeurIPS 2022 Deceptive Decision-Making under Uncertainty AAAI 2022 Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning NeurIPS 2022 Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal NeurIPS 2022 Decision-theoretic planning with communication in open multiagent systems UAI 2022