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
'5
'10
'15
'20
'25
Papers (including subtopics)
Probing Biomedical Embeddings from Language Models
NAACL 2019
Probing Neural Network Comprehension of Natural Language Arguments
ACL 2019
Probing Word and Sentence Embeddings for Long-distance Dependencies Effects in French and English
ACL 2019
ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees
SemEval 2019
Procedural Generation of Initial States of Sokoban
IJCAI 2019
PRoFET: Predicting the Risk of Firms from Event Transcripts
IJCAI 2019
Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling
AAAI 2019
Profit-driven Task Assignment in Spatial Crowdsourcing
IJCAI 2019
Program-Guided Image Manipulators
ICCV 2019
Program Synthesis and Semantic Parsing with Learned Code Idioms
NeurIPS 2019
Progressive Attention Memory Network for Movie Story Question Answering
CVPR 2019
Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation
ICCV 2019
Progressive Teacher-Student Learning for Early Action Prediction
CVPR 2019
Proppy: A System to Unmask Propaganda in Online News
AAAI 2019
ProSeqo: Projection Sequence Networks for On-Device Text Classification
EMNLP 2019
Protecting Elections by Recounting Ballots
IJCAI 2019
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
IJCAI 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
NeurIPS 2019
Provable Robustness of ReLU networks via Maximization of Linear Regions
AISTATS 2019
Provably robust boosted decision stumps and trees against adversarial attacks
NeurIPS 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
NeurIPS 2019
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach
ICML 2019
ProxQuant: Quantized Neural Networks via Proximal Operators
ICLR 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
ICLR 2019
Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering
ACL 2019