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)
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
ICML 2021
Erase and Rewind: Manual Correction of NLP Output through a Web Interface
ACL 2021
Error Analysis and the Role of Morphology
EACL 2021
Error Causal inference for Multi-Fusion models
NAACL 2021
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks
AAAI 2021
Error Identification for Machine Translation with Metric Embedding and Attention
EMNLP 2021
ESO-MAPF: Bridging Discrete Planning and Continuous Execution in Multi-Agent Pathfinding
AAAI 2021
Estimating $α$-Rank from A Few Entries with Low Rank Matrix Completion
ICML 2021
Estimating Card Fitness for Discard in Gin Rummy
AAAI 2021
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning
ICML 2021
Estimating Identifiable Causal Effects through Double Machine Learning
AAAI 2021
Estimating informativeness of samples with Smooth Unique Information
ICLR 2021
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
NeurIPS 2021
Estimating the Long-Term Effects of Novel Treatments
NeurIPS 2021
Estimating the Unique Information of Continuous Variables
NeurIPS 2021
Estimating treatment effects with observed confounders and mediators
UAI 2021
Estimating α-Rank by Maximizing Information Gain
AAAI 2021
Estimation and Optimization of Composite Outcomes
JMLR 2021
ESTIME: Estimation of Summary-to-Text Inconsistency by Mismatched Embeddings
EMNLP 2021
Estonian as a Second Language Teacher’s Tools
EACL 2021
Ethical Dilemmas in Strategic Games
AAAI 2021
Ethically Compliant Sequential Decision Making
AAAI 2021
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
CVPR 2021
Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages
ACL 2021
Evaluating Deception Detection Model Robustness To Linguistic Variation
NAACL 2021