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 Effectiveness of Offline RL for Dialogue Response Generation
ICML 2023
On the Effectiveness of Parameter-Efficient Fine-Tuning
AAAI 2023
On the Efficacy of Sampling Adapters
ACL 2023
On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing
ACL 2023
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
NeurIPS 2023
On the Exploitability of Instruction Tuning
NeurIPS 2023
On the Expressive Flexibility of Self-Attention Matrices
AAAI 2023
On the Expressive Power of Geometric Graph Neural Networks
ICML 2023
On the Forward Invariance of Neural ODEs
ICML 2023
On the Functional Similarity of Robust and Non-Robust Neural Representations
ICML 2023
On the Generalization of Multi-modal Contrastive Learning
ICML 2023
On the Identifiability and Estimation of Causal Location-Scale Noise Models
ICML 2023
On the Impact of Algorithmic Recourse on Social Segregation
ICML 2023
On the Impact of Knowledge Distillation for Model Interpretability
ICML 2023
On the Impact of Reconstruction and Context for Argument Prediction in Natural Debate
EMNLP 2023
On the Interplay between Social Welfare and Tractability of Equilibria
NeurIPS 2023
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach
ACL 2023
On the Interventional Kullback-Leibler Divergence
CLeaR 2023
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
NeurIPS 2023
On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasks
UAI 2023
On the Limitations of the Elo, Real-World Games are Transitive, not Additive
AISTATS 2023
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets
NeurIPS 2023
On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs
ICML 2023
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation
ACL 2023
On the Paradox of Learning to Reason from Data
IJCAI 2023