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
'5
'10
'15
'20
'25
Papers (including subtopics)
On-the-fly Synthesis for LTL over Finite Traces
AAAI 2021
On the Frequency Bias of Generative Models
NeurIPS 2021
On the Generation of Medical Dialogs for COVID-19
ACL 2021
On the Importance of Environments in Human-Robot Coordination
RSS 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
NeurIPS 2021
On the (In)Effectiveness of Images for Text Classification
EACL 2021
On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning
EMNLP 2021
On the Learnability of Knowledge in Multi-Agent Logics
IJCAI 2021
On the Limits of Minimal Pairs in Contrastive Evaluation
EMNLP 2021
On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation
ICCV 2021
On the Memory Mechanism of Tensor-Power Recurrent Models
AISTATS 2021
On the Optimal Efficiency of A* with Dominance Pruning
AAAI 2021
On the Out-of-distribution Generalization of Probabilistic Image Modelling
NeurIPS 2021
On the Predictability of Pruning Across Scales
ICML 2021
On the price of explainability for some clustering problems
ICML 2021
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond
NeurIPS 2021
On the Relationship between Zipf’s Law of Abbreviation and Interfering Noise in Emergent Languages
ACL 2021
On the Robustness of Vision Transformers to Adversarial Examples
ICCV 2021
On the role of planning in model-based deep reinforcement learning
ICLR 2021
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
ICLR 2021
On the State of Social Media Data for Mental Health Research
NAACL 2021
On the Suboptimality of Negative Momentum for Minimax Optimization
AISTATS 2021
On the Tractability of SHAP Explanations
AAAI 2021
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering
NAACL 2021
On the Verification of Neural ODEs with Stochastic Guarantees
AAAI 2021