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)
Dynamic Knowledge Graph Alignment
AAAI 2021
Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning
IJCAI 2021
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
AAAI 2021
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering
AAAI 2021
Dynamic Planning and Learning under Recovering Rewards
ICML 2021
Dynamic population-based meta-learning for multi-agent communication with natural language
NeurIPS 2021
Dynamic Slimmable Network
CVPR 2021
Dynamics-regulated kinematic policy for egocentric pose estimation
NeurIPS 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
NeurIPS 2021
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning
ACL 2021
EarFisher: Detecting Wireless Eavesdroppers by Stimulating and Sensing Memory EMR
NSDI 2021
EaSe: A Diagnostic Tool for VQA based on Answer Diversity
NAACL 2021
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle
EMNLP 2021
EasyRL: A Simple and Extensible Reinforcement Learning Framework
AAAI 2021
Ecco: An Open Source Library for the Explainability of Transformer Language Models
ACL 2021
ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning
EACL 2021
EDGE: Explaining Deep Reinforcement Learning Policies
NeurIPS 2021
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021
ACL 2021
Editing a classifier by rewriting its prediction rules
NeurIPS 2021
Editing Factual Knowledge in Language Models
EMNLP 2021
EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
AAAI 2021
Effectiveness of Arbitrary Transfer Sets for Data-Free Knowledge Distillation
WACV 2021
Effectiveness of Pre-training for Few-shot Intent Classification
EMNLP 2021
Effective Sequence-to-Sequence Dialogue State Tracking
EMNLP 2021
Effective Slot Filling via Weakly-Supervised Dual-Model Learning
AAAI 2021