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)
On the Importance of Distinguishing Word Meaning Representations: A Case Study on Reverse Dictionary Mapping
NAACL 2019
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation
EMNLP 2019
On the Inducibility of Stackelberg Equilibrium for Security Games
AAAI 2019
On the (In)fidelity and Sensitivity of Explanations
NeurIPS 2019
On the Optimal Efficiency of Cost-Algebraic A*
AAAI 2019
On the Problem of Assigning PhD Grants
IJCAI 2019
On the Proximity of Markets with Integral Equilibria
AAAI 2019
On the Relationship Between Satisfiability and Markov Decision Processes
UAI 2019
On the Robustness of Self-Attentive Models
ACL 2019
On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components
AAAI 2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions
ICLR 2019
On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting
MIDL 2019
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation
AAAI 2019
On the Use/Misuse of the Term ‘Phoneme’
Interspeech 2019
On the use of BERT for Neural Machine Translation
EMNLP 2019
On the Utility of Learning about Humans for Human-AI Coordination
NeurIPS 2019
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text
EMNLP 2019
On Tractable Computation of Expected Predictions
NeurIPS 2019
On Understanding the Relation between Expert Annotations of Text Readability and Target Reader Comprehension
ACL 2019
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs
ACL 2019
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification
ACL 2019
Open Domain Web Keyphrase Extraction Beyond Language Modeling
EMNLP 2019
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts
ACL 2019
Open-ended learning in symmetric zero-sum games
ICML 2019
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
EMNLP 2019