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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

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11
99
273
4,063
17,181
2000
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Papers (including subtopics)

SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract) AAAI 2020 Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words ACL 2020 SqueezeBERT: What can computer vision teach NLP about efficient neural networks? EMNLP 2020 Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition Interspeech 2020 SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions CVPR 2020 SRLGRN: Semantic Role Labeling Graph Reasoning Network EMNLP 2020 Stabilizing Transformers for Reinforcement Learning ICML 2020 State-only Imitation with Transition Dynamics Mismatch ICLR 2020 State Sequence Pooling Training of Acoustic Models for Keyword Spotting Interspeech 2020 State Variable Effects in Graphical Event Models IJCAI 2020 Static and Dynamic Values of Computation in MCTS UAI 2020 Statistical Deep Parsing for Spanish Using Neural Networks ACL 2020 Statistically Efficient Greedy Equivalence Search UAI 2020 Staying True to Your Word: (How) Can Attention Become Explanation? ACL 2020 Steady-State Policy Synthesis in Multichain Markov Decision Processes IJCAI 2020 Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020 Stein Variational Model Predictive Control CoRL 2020 STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits AAAI 2020 Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines ACL 2020 STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction CVPR 2020 STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering EMNLP 2020 STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks NeurIPS 2020 Stochastic Curiosity Exploration for Dialogue Systems Interspeech 2020 Stochastic Optimization for Performative Prediction NeurIPS 2020 Stochastic Regret Minimization in Extensive-Form Games ICML 2020