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)
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
EMNLP 2019
An Evaluation of Language-Agnostic Inner-Attention-Based Representations in Machine Translation
ACL 2019
A New GAN-Based End-to-End TTS Training Algorithm
Interspeech 2019
An Experimental View on Committees Providing Justified Representation
IJCAI 2019
An Imitation Learning Approach to Unsupervised Parsing
ACL 2019
An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria
AAAI 2019
An Integrative Framework for Artificial Intelligence Education
AAAI 2019
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
ACL 2019
An Investigation of Deep Learning Systems for Suicide Risk Assessment
NAACL 2019
Annotating and Analyzing Semantic Role of Elementary Units and Relations in Online Persuasive Arguments
ACL 2019
Annotation of Rhetorical Moves in Biochemistry Articles
ACL 2019
An Omnidirectional Aerial Manipulation Platform for Contact-Based Inspection
RSS 2019
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
EMNLP 2019
An Optimal Control Approach to Sequential Machine Teaching
AISTATS 2019
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
NeurIPS 2019
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
ACL 2019
A Novel Framework for Robustness Analysis of Visual QA Models
AAAI 2019
A Novel Method to Correct Steering Vectors in MVDR Beamformer for Noise Robust ASR
Interspeech 2019
Answer-based Adversarial Training for Generating Clarification Questions
NAACL 2019
Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks
AAAI 2019
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts
IJCAI 2019
Answering Complex Open-domain Questions Through Iterative Query Generation
EMNLP 2019
Answering Conversational Questions on Structured Data without Logical Forms
EMNLP 2019
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
ACL 2019
Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension
EMNLP 2019