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)
On the Diversity and Limits of Human Explanations
NAACL 2022
On the Effectiveness of Automated Metrics for Text Generation Systems
EMNLP 2022
On the Effectiveness of Small Input Noise for Defending Against Query-Based Black-Box Attacks
WACV 2022
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
NAACL 2022
On the Effects of Video Grounding on Language Models
COLING 2022
On the Fairness of Causal Algorithmic Recourse
AAAI 2022
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games
L4DC 2022
On the Impact of Spurious Correlation for Out-of-Distribution Detection
AAAI 2022
On the Impact of Temporal Concept Drift on Model Explanations
EMNLP 2022
On the Importance of Data Size in Probing Fine-tuned Models
ACL 2022
On the Importance of Difficulty Calibration in Membership Inference Attacks
ICLR 2022
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
ICML 2022
On the Interpretability of Attention Networks
ACML 2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
ACL 2022
On the Learning Mechanisms in Physical Reasoning
NeurIPS 2022
On the Limitations of Stochastic Pre-processing Defenses
NeurIPS 2022
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets
ACL 2022
On the Machine Learning of Ethical Judgments from Natural Language
NAACL 2022
On the Nature of BERT: Correlating Fine-Tuning and Linguistic Competence
COLING 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
ICML 2022
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
NAACL 2022
On the Pitfalls of Analyzing Individual Neurons in Language Models
ICLR 2022
On the power of adaptivity in statistical adversaries
COLT 2022
On the relationship between variational inference and auto-associative memory
NeurIPS 2022
On the Robustness of Question Rewriting Systems to Questions of Varying Hardness
ACL 2022