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)
Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks
IJCAI 2017
Learning to Generate Market Comments from Stock Prices
ACL 2017
Learning to Paraphrase for Question Answering
EMNLP 2017
Learning to Parse and Translate Improves Neural Machine Translation
ACL 2017
Learning to Predict Charges for Criminal Cases with Legal Basis
EMNLP 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
NeurIPS 2017
Learning to See Physics via Visual De-animation
NeurIPS 2017
Learning to Translate in Real-time with Neural Machine Translation
EACL 2017
Learning Weakly Supervised Multimodal Phoneme Embeddings
Interspeech 2017
Learning what to read: Focused machine reading
EMNLP 2017
Learning with Bandit Feedback in Potential Games
NeurIPS 2017
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness
IJCNLP 2017
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
ACL 2017
Lexical Adaptation to a Novel Accent in German: A Comparison Between German, Swedish, and Finnish Listeners
Interspeech 2017
Lexically Guided Perceptual Learning in Mandarin Chinese
Interspeech 2017
Libratus: The Superhuman AI for No-Limit Poker
IJCAI 2017
Linguistically Regularized LSTM for Sentiment Classification
ACL 2017
Lip Reading Sentences in the Wild
CVPR 2017
List-only Entity Linking
ACL 2017
Local Aggregative Games
NeurIPS 2017
Locally Smoothed Neural Networks
ACML 2017
Local Monotonic Attention Mechanism for End-to-End Speech And Language Processing
IJCNLP 2017
Logic meets Probability: Towards Explainable AI Systems for Uncertain Worlds
IJCAI 2017
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
CVPR 2017
Lower bounds on the robustness to adversarial perturbations
NeurIPS 2017