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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Papers (including subtopics)
An LP-Based Approach for Goal Recognition as Planning
AAAI 2021
Annealing Knowledge Distillation
EACL 2021
Annotating and Modeling Fine-grained Factuality in Summarization
NAACL 2021
Annotating Online Misogyny
ACL 2021
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning
ICLR 2021
Anomaly Attribution with Likelihood Compensation
AAAI 2021
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
CoRL 2021
An Online Sequential Test for Qualitative Treatment Effects
JMLR 2021
Anonymizing Egocentric Videos
ICCV 2021
Anonymous Speaker Clusters: Making Distinctions Between Anonymised Speech Recordings with Clustering Interface
Interspeech 2021
A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots
AAAI 2021
A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles
AAAI 2021
A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation
AAAI 2021
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline
EACL 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation
ACL 2021
ANR: Articulated Neural Rendering for Virtual Avatars
CVPR 2021
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
ACL 2021
Answering Complex Causal Queries With the Maximum Causal Set Effect
NeurIPS 2021
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
ICLR 2021
Answering Open-Domain Questions of Varying Reasoning Steps from Text
EMNLP 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
NeurIPS 2021
Anticipating Future Relations via Graph Growing for Action Prediction
AAAI 2021
An Uncertainty-Aware Encoder for Aspect Detection
EMNLP 2021
An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information
AAAI 2021
An unsupervised video game playstyle metric via state discretization
UAI 2021