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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'10
'15
'20
'25
Papers (including subtopics)
On the Performance of Temporal Difference Learning With Neural Networks
ICLR 2023
On the Planning Abilities of Large Language Models - A Critical Investigation
NeurIPS 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
NeurIPS 2023
On the Power of Foundation Models
ICML 2023
On the Privacy Risks of Algorithmic Recourse
AISTATS 2023
On The Real-world Performance of Machine Translation: Exploring Social Media Post-authors’ Perspectives
ACL 2023
On the Relationship Between Explanation and Prediction: A Causal View
ICML 2023
On the Relationship Between Relevance and Conflict in Online Social Link Recommendations
NeurIPS 2023
On the Risk of Misinformation Pollution with Large Language Models
EMNLP 2023
On the Robustness of Mechanism Design under Total Variation Distance
NeurIPS 2023
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
ICLR 2023
On the Role of Memory in Robust Opinion Dynamics
IJCAI 2023
On the Sensitivity of Reward Inference to Misspecified Human Models
ICLR 2023
On the Trade-Off between Actionable Explanations and the Right to be Forgotten
ICLR 2023
On the Transferability of Visually Grounded PCFGs
EMNLP 2023
On the Underspecification of Situations in Open-domain Conversational Datasets
ACL 2023
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection
ACL 2023
On the Vulnerability of Backdoor Defenses for Federated Learning
AAAI 2023
On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme
ICLR 2023
On the Zero-Shot Generalization of Machine-Generated Text Detectors
EMNLP 2023
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks
NeurIPS 2023
On Translations between ML Models for XAI Purposes
IJCAI 2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
EMNLP 2023
On Undisputed Sets in Abstract Argumentation
AAAI 2023
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning
ICML 2023