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)
Open-ended Knowledge Tracing for Computer Science Education
EMNLP 2022
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages
ACL 2022
Opening the Black Box: Automated Software Analysis for Algorithm Selection
AutoML 2022
Opening up Minds with Argumentative Dialogues
EMNLP 2022
Opening Up Open World Tracking
CVPR 2022
Open Problem: Better Differentially Private Learning Algorithms with Margin Guarantees
COLT 2022
OpenTAL: Towards Open Set Temporal Action Localization
CVPR 2022
Open-Topic False Information Detection on Social Networks with Contrastive Adversarial Learning
EMNLP 2022
Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification
AAAI 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations
NeurIPS 2022
OPERA: Operation-Pivoted Discrete Reasoning over Text
NAACL 2022
Operator-Potential Heuristics for Symbolic Search
AAAI 2022
Opponent Modeling in Negotiation Dialogues by Related Data Adaptation
NAACL 2022
Opportunities for Human-centered Evaluation of Machine Translation Systems
NAACL 2022
Optical Flow Estimation for Spiking Camera
CVPR 2022
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction
AAAI 2022
Optimal Anonymous Independent Reward Scheme Design
IJCAI 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
NeurIPS 2022
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
ICML 2022
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints
UAI 2022
Optimal Control with Learning on the Fly: System with Unknown Drift
L4DC 2022
Optimal Dynamic Regret in LQR Control
NeurIPS 2022
Optimal-er Auctions through Attention
NeurIPS 2022
Optimality and Stability in Non-Convex Smooth Games
JMLR 2022
Optimal Local Explainer Aggregation for Interpretable Prediction
AAAI 2022