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)
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
CoRL 2020
Action Graphs for Goal Recognition Problems with Inaccurate Initial States (Student Abstract)
AAAI 2020
Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection
IJCAI 2020
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract)
AAAI 2020
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
ICLR 2020
Active Goal Recognition
AAAI 2020
Active Invariant Causal Prediction: Experiment Selection through Stability
NeurIPS 2020
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture
CVPR 2020
Active Speakers in Context
CVPR 2020
Active Structure Learning of Causal DAGs via Directed Clique Trees
NeurIPS 2020
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
EMNLP 2020
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data
AAAI 2020
Active Vision for Early Recognition of Human Actions
CVPR 2020
Active World Model Learning with Progress Curiosity
ICML 2020
Actor Conditioned Attention Maps for Video Action Detection
WACV 2020
Actor Critic Deep Reinforcement Learning for Neural Malware Control
AAAI 2020
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games
ICLR 2020
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search
IJCAI 2020
AdaBits: Neural Network Quantization With Adaptive Bit-Widths
CVPR 2020
Adapting Grad-CAM for Embedding Networks
WACV 2020
Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling
EMNLP 2020
Adaptive Convolutional ReLUs
AAAI 2020
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation
ICLR 2020
Adaptive Cross-Modal Embeddings for Image-Text Alignment
AAAI 2020
Adaptive Discretization for Evaluation of Probabilistic Cost Functions
AISTATS 2020