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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)

Compositional Generalization in Grounded Language Learning via Induced Model Sparsity NAACL 2022 Compositional generalization with a broad-coverage semantic parser NAACL 2022 Compositional Temporal Grounding With Structured Variational Cross-Graph Correspondence Learning CVPR 2022 Composition, Attention, or Both? EMNLP 2022 Comprehensive Multi-Modal Interactions for Referring Image Segmentation ACL 2022 Computational Historical Linguistics and Language Diversity in South Asia ACL 2022 Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions EMNLP 2022 Computing Programs for Generalized Planning as Heuristic Search (Extended Abstract) IJCAI 2022 Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems AAAI 2022 Concept Activation Regions: A Generalized Framework For Concept-Based Explanations NeurIPS 2022 Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off NeurIPS 2022 Concept Learning for Interpretable Multi-Agent Reinforcement Learning CoRL 2022 Conceptualizing Treatment Leakage in Text-based Causal Inference NAACL 2022 Conciseness: An Overlooked Language Task EMNLP 2022 CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation EMNLP 2022 Conditional Independence for Iterated Belief Revision IJCAI 2022 Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery NeurIPS 2022 Conditional Prompt Learning for Vision-Language Models CVPR 2022 Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval EMNLP 2022 Conditions and Assumptions for Constraint-based Causal Structure Learning JMLR 2022 Conducting Cross-Cultural Research on COVID-19 Memes NAACL 2022 CoNeRF: Controllable Neural Radiance Fields CVPR 2022 Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022 Confident Adaptive Language Modeling NeurIPS 2022 CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning NAACL 2022