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)
Are adversarial examples inevitable?
ICLR 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
NeurIPS 2019
A Refined Understanding of Cost-optimal Planning with Polytree Causal Graphs
IJCAI 2019
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
ACL 2019
A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing
EMNLP 2019
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning
NeurIPS 2019
A Replication Study of Semantics in Argumentation
IJCAI 2019
Are Red Roses Red? Evaluating Consistency of Question-Answering Models
ACL 2019
Are sample means in multi-armed bandits positively or negatively biased?
NeurIPS 2019
Are the Tools up to the Task? an Evaluation of Commercial Dialog Tools in Developing Conversational Enterprise-grade Dialog Systems
NAACL 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
EMNLP 2019
Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection
ACL 2019
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
ACL 2019
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation
ACL 2019
Argoverse: 3D Tracking and Forecasting With Rich Maps
CVPR 2019
Argument Generation with Retrieval, Planning, and Realization
ACL 2019
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network
IJCAI 2019
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification
ACL 2019
A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions
NeurIPS 2019
A Robust Zero-Sum Game Framework for Pool-based Active Learning
AISTATS 2019
Artificial Counselor System for Stock Investment
AAAI 2019
Artificial Intelligence Competencies for Data Science Undergraduate Curricula
AAAI 2019
A Simple Baseline for Audio-Visual Scene-Aware Dialog
CVPR 2019
A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation
ACL 2019
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
CoRL 2019