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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)

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing NAACL 2019 Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition EMNLP 2019 Improving Black-box Adversarial Attacks with a Transfer-based Prior NeurIPS 2019 Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control ICLR 2019 Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector AAAI 2019 Improving Domain-Independent Planning via Critical Section Macro-Operators AAAI 2019 Improving Fine-grained Entity Typing with Entity Linking EMNLP 2019 Improving Generative Visual Dialog by Answering Diverse Questions EMNLP 2019 Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning AAAI 2019 Improving Knowledge Base Construction from Robust Infobox Extraction NAACL 2019 Improving Nash Social Welfare Approximations IJCAI 2019 Improving Natural Language Interaction with Robots Using Advice NAACL 2019 Improving Neural Conversational Models with Entropy-Based Data Filtering ACL 2019 Improving Neural Machine Translation with Neural Syntactic Distance NAACL 2019 Improving Neural Network Quantization without Retraining using Outlier Channel Splitting ICML 2019 Improving Neural Question Generation Using Answer Separation AAAI 2019 Improving Neural Story Generation by Targeted Common Sense Grounding EMNLP 2019 Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration EMNLP 2019 Improving Open Information Extraction via Iterative Rank-Aware Learning ACL 2019 Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning AAAI 2019 Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader ACL 2019 Improving Relation Classification by Entity Pair Graph ACML 2019 Improving Relation Extraction with Knowledge-attention EMNLP 2019 Improving Search with Supervised Learning in Trick-Based Card Games AAAI 2019 Improving Statute Prediction via Mining Correlations between Statutes ACML 2019