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
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Prediction Improves Simultaneous Neural Machine Translation
EMNLP 2018
Prediction Models for Risk of Type-2 Diabetes Using Health Claims
ACL 2018
Predictive Uncertainty Estimation via Prior Networks
NeurIPS 2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
NeurIPS 2018
Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract)
IJCAI 2018
Preference Learning in Assistive Robotics: Observational Repeated Inverse Reinforcement Learning
MLHC 2018
Preventing Disparate Treatment in Sequential Decision Making
IJCAI 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
ICML 2018
Privacy-preserving Neural Representations of Text
EMNLP 2018
Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models
PGM 2018
Private Sequential Learning
COLT 2018
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
RSS 2018
Probabilistic Verification for Obviously Strategyproof Mechanisms
IJCAI 2018
Programmatically Interpretable Reinforcement Learning
ICML 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
ICLR 2018
Prompsit’s Submission to the IWSLT 2018 Low Resource Machine Translation Task
EMNLP 2018
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope
ICML 2018
Proving the correct execution of concurrent services in zero-knowledge
OSDI 2018
Punny Captions: Witty Wordplay in Image Descriptions
NAACL 2018
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information
ACL 2018
Put It Back: Entity Typing with Language Model Enhancement
EMNLP 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
CVPR 2018
Pyconstruct: Constraint Programming Meets Structured Prediction
IJCAI 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
ICML 2018
QuAC: Question Answering in Context
EMNLP 2018