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)
Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable
EMNLP 2021
Decomposition-Guided Reductions for Argumentation and Treewidth
IJCAI 2021
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation
ACL 2021
Decoupled Dynamic Filter Networks
CVPR 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning
ICML 2021
Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination
AAAI 2021
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
ICML 2021
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs
ICLR 2021
DeepBlueAI at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Stacking Diverse Language Model-Based Methods
SemEval 2021
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
WACV 2021
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
AAAI 2021
Deep Drone Acrobatics (Extended Abstract)
IJCAI 2021
Deep Edge-Aware Interactive Colorization Against Color-Bleeding Effects
ICCV 2021
Deep Extended Hazard Models for Survival Analysis
NeurIPS 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
AAAI 2021
Deep Graph Matching Under Quadratic Constraint
CVPR 2021
Deep Learning meets Projective Clustering
ICLR 2021
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
NeurIPS 2021
Deep Metric Learning for Open World Semantic Segmentation
ICCV 2021
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
CVPR 2021
Deep Mutual Information Maximin for Cross-Modal Clustering
AAAI 2021
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
ICLR 2021
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
AISTATS 2021
Deep Open Intent Classification with Adaptive Decision Boundary
AAAI 2021
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
WACV 2021