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)
AmazonQA: A Review-Based Question Answering Task
IJCAI 2019
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
NeurIPS 2019
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets
AAAI 2019
A Mobile Application for Sound Event Detection
IJCAI 2019
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
NeurIPS 2019
A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention
ACML 2019
A Model to Search for Synthesizable Molecules
NeurIPS 2019
A Monte Carlo Tree Search Player for Birds of a Feather Solitaire
AAAI 2019
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
EMNLP 2019
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation
AAAI 2019
A Multiscale Visualization of Attention in the Transformer Model
ACL 2019
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset
AAAI 2019
An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information
AAAI 2019
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments
IJCAI 2019
An adaptable task-oriented dialog system for stand-alone embedded devices
ACL 2019
An Adaptive Framework for Conversational Question Answering
AAAI 2019
An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model
NAACL 2019
An Algorithm to Learn Polytree Networks with Hidden Nodes
NeurIPS 2019
Analysing Mathematical Reasoning Abilities of Neural Models
ICLR 2019
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment
CoNLL 2019
Analysing Representations of Memory Impairment in a Clinical Notes Classification Model
ACL 2019
Analysis and Synthesis of Vocal Flutter and Vocal Jitter
Interspeech 2019
Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs
AAAI 2019
Analysis of Quantized Models
ICLR 2019
Analyzing Compositionality-Sensitivity of NLI Models
AAAI 2019