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)
CLEVRER: Collision Events for Video Representation and Reasoning
ICLR 2020
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes
EMNLP 2020
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
ACL 2020
Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes
ACL 2020
Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration
MLHC 2020
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
EMNLP 2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
ICML 2020
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
ICML 2020
Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference Reasoning
IJCAI 2020
Closure Properties for Private Classification and Online Prediction
COLT 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
CoRL 2020
Cloze Distillation: Improving Neural Language Models with Human Next-Word Prediction
CoNLL 2020
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings
CVPR 2020
CLUZH at SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion
ACL 2020
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
ICLR 2020
CN-HIT-MI.T at SemEval-2020 Task 8: Memotion Analysis Based on BERT
SemEval 2020
CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights Based Counterfactual Detection
SemEval 2020
Coalitional Strategic Behaviour in Collective Decision Making
AAAI 2020
Coarse Correlation in Extensive-Form Games
AAAI 2020
COBE: Contextualized Object Embeddings from Narrated Instructional Video
NeurIPS 2020
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment
AAAI 2020
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines
AAAI 2020
COD3S: Diverse Generation with Discrete Semantic Signatures
EMNLP 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
EMNLP 2020
Coding Textual Inputs Boosts the Accuracy of Neural Networks
EMNLP 2020