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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)

Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning EMNLP 2021 Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity ICML 2021 Improving Multi-agent Coordination by Learning to Estimate Contention IJCAI 2021 Improving Multimodal fusion via Mutual Dependency Maximisation EMNLP 2021 Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis EMNLP 2021 Improving Multi-Party Dialogue Discourse Parsing via Domain Integration EMNLP 2021 Improving Multiple Object Tracking With Single Object Tracking CVPR 2021 Improving Neural Machine Translation by Bidirectional Training EMNLP 2021 Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point ICCV 2021 Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding EMNLP 2021 Improving Query Graph Generation for Complex Question Answering over Knowledge Base EMNLP 2021 Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation EMNLP 2021 Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program) JMLR 2021 Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks ICCV 2021 Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021 Improving Sign Language Translation With Monolingual Data by Sign Back-Translation CVPR 2021 Improving Span Representation for Domain-adapted Coreference Resolution EMNLP 2021 Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs EMNLP 2021 Improving the Expressiveness of Neural Vocoding with Non-Affine Normalizing Flows Interspeech 2021 Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification ACL 2021 Improving the Morphology and Control Policy of Self-reconfiguring Modular Robots in Dynamic Environment (Student Abstract) AAAI 2021 Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions AAAI 2021 Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract) AAAI 2021 Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021 Improving Transferability of Adversarial Patches on Face Recognition With Generative Models CVPR 2021