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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)

Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning CVPR 2017 Active Exploration for Learning Symbolic Representations NeurIPS 2017 Active Incremental Learning of Robot Movement Primitives CoRL 2017 Active Learning from Peers NeurIPS 2017 Active Preference-Based Learning of Reward Functions RSS 2017 Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation CoRL 2017 Adaptive Active Hypothesis Testing under Limited Information NeurIPS 2017 Adaptive Elicitation of Preferences under Uncertainty in Sequential Decision Making Problems IJCAI 2017 Adaptive Information Gathering via Imitation Learning RSS 2017 A Dataset for Benchmarking Image-Based Localization CVPR 2017 Additive Merge-and-Shrink Heuristics for Diverse Action Costs IJCAI 2017 A Decomposition of Forecast Error in Prediction Markets NeurIPS 2017 A Deep Network with Visual Text Composition Behavior ACL 2017 Adjusting the Frame: Biphasic Performative Control of Speech Rhythm Interspeech 2017 A Domain Based Approach to Social Relation Recognition CVPR 2017 A Domain Knowledge-Assisted Nonlinear Model for Head-Related Transfer Functions Based on Bottleneck Deep Neural Network Interspeech 2017 Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification ACL 2017 Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training IJCAI 2017 Adversarial Learning for Neural Dialogue Generation EMNLP 2017 Adversarial Multi-task Learning for Text Classification ACL 2017 A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation RSS 2017 Affordable On-line Dialogue Policy Learning EMNLP 2017 A Framework for Optimal Matching for Causal Inference AISTATS 2017 A Fully Convolutional Neural Network for Speech Enhancement Interspeech 2017 A generic approach to planning in the presence of incomplete information: Theory and implementation (Extended Abstract) IJCAI 2017