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)
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression
NeurIPS 2019
Selecting, Planning, and Rewriting: A Modular Approach for Data-to-Document Generation and Translation
EMNLP 2019
Selective Refinement Network for High Performance Face Detection
AAAI 2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
CVPR 2019
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
EMNLP 2019
Self-Attention Architectures for Answer-Agnostic Neural Question Generation
ACL 2019
Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction
MLHC 2019
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction
EMNLP 2019
Self-attention with Functional Time Representation Learning
NeurIPS 2019
Self-Critical Attention Learning for Person Re-Identification
ICCV 2019
Self-Critical N-Step Training for Image Captioning
CVPR 2019
Self-Critical Reasoning for Robust Visual Question Answering
NeurIPS 2019
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
ICLR 2019
Self-Paced Contextual Reinforcement Learning
CoRL 2019
Self-Supervised Dialogue Learning
ACL 2019
Self-Supervised Learning via Conditional Motion Propagation
CVPR 2019
Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
CVPR 2019
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
ACL 2019
Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry
ACL 2019
Semantic Change in the Language of UK Parliamentary Debates
ACL 2019
Semantic Component Decomposition for Face Attribute Manipulation
CVPR 2019
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
NeurIPS 2019
Semantic Expressive Capacity with Bounded Memory
ACL 2019
Semantic Modelling of Adjective-Noun Collocations Using FrameNet
ACL 2019
Semantic Proposal for Activity Localization in Videos via Sentence Query
AAAI 2019