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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'25
Papers (including subtopics)
Learning Bill Similarity with Annotated and Augmented Corpora of Bills
EMNLP 2021
Learning Branching Heuristics for Propositional Model Counting
AAAI 2021
Learning by Aligning: Visible-Infrared Person Re-Identification Using Cross-Modal Correspondences
ICCV 2021
Learning by Fixing: Solving Math Word Problems with Weak Supervision
AAAI 2021
Learning by Planning: Language-Guided Global Image Editing
CVPR 2021
Learning by Watching
CVPR 2021
Learning Camera Localization via Dense Scene Matching
CVPR 2021
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions
ICCV 2021
Learning Causal Semantic Representation for Out-of-Distribution Prediction
NeurIPS 2021
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport
EMNLP 2021
Learning Cross-Modal Retrieval With Noisy Labels
CVPR 2021
Learning Decision Trees Recurrently Through Communication
CVPR 2021
Learning Deep Features in Instrumental Variable Regression
ICLR 2021
Learning de-identified representations of prosody from raw audio
ICML 2021
Learning Diffeomorphic and Modality-invariant Registration using B-splines
MIDL 2021
Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment
AAAI 2021
Learning Distilled Collaboration Graph for Multi-Agent Perception
NeurIPS 2021
Learning Diverse Policies in MOBA Games via Macro-Goals
NeurIPS 2021
Learning Diverse-Structured Networks for Adversarial Robustness
ICML 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
NeurIPS 2021
Learning Event Graph Knowledge for Abductive Reasoning
ACL 2021
Learning Eye-in-Hand Camera Calibration from a Single Image
CoRL 2021
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
ICML 2021
Learning Faithful Representations of Causal Graphs
ACL 2021
Learning Frequency Domain Approximation for Binary Neural Networks
NeurIPS 2021