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)
What Makes Convolutional Models Great on Long Sequence Modeling?
ICLR 2023
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
EMNLP 2023
What Planning Problems Can A Relational Neural Network Solve?
NeurIPS 2023
What shapes the loss landscape of self supervised learning?
ICLR 2023
What’s in a Rise? The Relevance of Intonation for Attention Orienting
Interspeech 2023
What’s Left? Concept Grounding with Logic-Enhanced Foundation Models
NeurIPS 2023
What’s New? Identifying the Unfolding of New Events in a Narrative
ACL 2023
What’s New? Summarizing Contributions in Scientific Literature
EACL 2023
What social attitudes about gender does BERT encode? Leveraging insights from psycholinguistics
ACL 2023
What’s the Meaning of Superhuman Performance in Today’s NLU?
ACL 2023
What’s “up” with vision-language models? Investigating their struggle with spatial reasoning
EMNLP 2023
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
ACL 2023
What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection
ACL 2023
What Truly Matters in Trajectory Prediction for Autonomous Driving?
NeurIPS 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
CoRL 2023
What, When, and How to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue
ACL 2023
What You Can Reconstruct From a Shadow
CVPR 2023
When and Why Does Bias Mitigation Work?
EMNLP 2023
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?
ICLR 2023
When are Lemons Purple? The Concept Association Bias of Vision-Language Models
EMNLP 2023
When are post-hoc conceptual explanations identifiable?
UAI 2023
When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure
AAAI 2023
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
ICLR 2023
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
NeurIPS 2023
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset
ACL 2023