Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Learning to Order Graph Elements with Application to Multilingual Surface Realization EMNLP 2019 Learning to Plan with Logical Automata RSS 2019 Learning to Predict Novel Noun-Noun Compounds ACL 2019 Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NeurIPS 2019 Learning to Propagate for Graph Meta-Learning NeurIPS 2019 Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss CVPR 2019 Learning to Reconstruct 3D Manhattan Wireframes From a Single Image ICCV 2019 Learning to Remember More with Less Memorization ICLR 2019 Learning to request guidance in emergent language EMNLP 2019 Learning to Schedule Communication in Multi-agent Reinforcement Learning ICLR 2019 Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks ICLR 2019 Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP AAAI 2019 Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks AAAI 2019 Learning to Teach in Cooperative Multiagent Reinforcement Learning AAAI 2019 Learning to Understand Goal Specifications by Modelling Reward ICLR 2019 Learning to Update Knowledge Graphs by Reading News EMNLP 2019 Learning to Walk Via Deep Reinforcement Learning RSS 2019 Learning to Write Stories with Thematic Consistency and Wording Novelty AAAI 2019 Learning Transformation Synchronization CVPR 2019 Learning Unsupervised Visual Grounding Through Semantic Self-Supervision IJCAI 2019 Learning value functions with relational state representations for guiding task-and-motion planning CoRL 2019 Learning what and where to attend ICLR 2019 Learning what you can do before doing anything ICLR 2019 Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering NAACL 2019 Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks ICLR 2019