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)
Can We Predict the Election Outcome from Sampled Votes?
AAAI 2020
Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills
ACL 2020
Caption Alignment for Low Resource Audio-Visual Data
Interspeech 2020
Capturing the Style of Fake News
AAAI 2020
CapWAP: Image Captioning with a Purpose
EMNLP 2020
CAQL: Continuous Action Q-Learning
ICLR 2020
CARS: Continuous Evolution for Efficient Neural Architecture Search
CVPR 2020
Cascaded Semantic and Positional Self-Attention Network for Document Classification
EMNLP 2020
Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses
CVPR 2020
CASE: Context-Aware Semantic Expansion
AAAI 2020
CASIE: Extracting Cybersecurity Event Information from Text
AAAI 2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
NeurIPS 2020
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract)
IJCAI 2020
Categorisation, Typicality & Object-Specific Features in Spatial Referring Expressions
EMNLP 2020
Category-Level Articulated Object Pose Estimation
CVPR 2020
Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech
CoNLL 2020
Causal analysis of Covid-19 Spread in Germany
NeurIPS 2020
Causal Bayesian Optimization
AISTATS 2020
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets
AAAI 2020
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
NeurIPS 2020
Causal Discovery in Physical Systems from Videos
NeurIPS 2020
Causal Discovery with Reinforcement Learning
ICLR 2020
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
ICML 2020
Causal Effect Identifiability under Partial-Observability
ICML 2020
Causal Feature Learning for Utility-Maximizing Agents
PGM 2020