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)
On Robustness in Qualitative Constraint Networks
IJCAI 2020
On Second Order Behaviour in Augmented Neural ODEs
NeurIPS 2020
On Simulation and Trajectory Prediction with Gaussian Process Dynamics
L4DC 2020
On Swap Convexity of Voting Rules
AAAI 2020
On Task-Level Dialogue Composition of Generative Transformer Model
EMNLP 2020
On the Ability and Limitations of Transformers to Recognize Formal Languages
EMNLP 2020
On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling
EMNLP 2020
On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge
AISTATS 2020
On the Decidability of Intuitionistic Tense Logic without Disjunction
IJCAI 2020
On the design of consequential ranking algorithms
UAI 2020
On the Detection of Digital Face Manipulation
CVPR 2020
On the Expressivity of ASK Queries in SPARQL
AAAI 2020
On the Faithfulness for E-commerce Product Summarization
COLING 2020
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
CVPR 2020
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
IJCAI 2020
On the interaction between supervision and self-play in emergent communication
ICLR 2020
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation
ACL 2020
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses
ICLR 2020
On the Robustness of Data-Driven Controllers for Linear Systems
L4DC 2020
On the Robustness of Language Encoders against Grammatical Errors
ACL 2020
On the role of effective and referring questions in GuessWhat?!
ACL 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
NeurIPS 2020
On the Role of Weight Sharing During Deep Option Learning
AAAI 2020
On the Sparsity of Neural Machine Translation Models
EMNLP 2020
On the Splitting Property for Epistemic Logic Programs (Extended Abstract)
IJCAI 2020