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 Instance-Level N-Ary Semantic Knowledge At Scale For Robots Operating in Everyday Environments
RSS 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
ICML 2021
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories
JMLR 2021
Learning interaction rules from multi-animal trajectories via augmented behavioral models
NeurIPS 2021
Learning Interpretable Concept Groups in CNNs
IJCAI 2021
Learning Intuitive Physics with Multimodal Generative Models
AAAI 2021
Learning in two-player zero-sum partially observable Markov games with perfect recall
NeurIPS 2021
Learning Invariant Representations for Reinforcement Learning without Reconstruction
ICLR 2021
Learning Knowledge Graph-based World Models of Textual Environments
NeurIPS 2021
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data
ACL 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
CoRL 2021
Learning latent causal graphs via mixture oracles
NeurIPS 2021
Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols
ACL 2021
Learning Logic Rules for Document-Level Relation Extraction
EMNLP 2021
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
ICLR 2021
Learning Manifold Patch-Based Representations of Man-Made Shapes
ICLR 2021
Learning Matching Representations for Individualized Organ Transplantation Allocation
AISTATS 2021
Learning Mathematical Properties of Integers
EMNLP 2021
Learning Mesh-Based Simulation with Graph Networks
ICLR 2021
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
AAAI 2021
Learning Model-Based Privacy Protection under Budget Constraints
AAAI 2021
Learning Models for Actionable Recourse
NeurIPS 2021
Learning Modulated Loss for Rotated Object Detection
AAAI 2021
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
AAAI 2021
Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation
ICCV 2021