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)
Discovering symbolic policies with deep reinforcement learning
ICML 2021
Discover the Unknown Biased Attribute of an Image Classifier
ICCV 2021
Discovery of Options via Meta-Learned Subgoals
NeurIPS 2021
Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching
CVPR 2021
Discrete Reasoning Templates for Natural Language Understanding
EACL 2021
Discretization Drift in Two-Player Games
ICML 2021
Discretized Integrated Gradients for Explaining Language Models
EMNLP 2021
Discriminative Region-Based Multi-Label Zero-Shot Learning
ICCV 2021
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting
RSS 2021
Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On
CVPR 2021
Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
IJCAI 2021
Disentangled Lifespan Face Synthesis
ICCV 2021
Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction
AAAI 2021
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond
AAAI 2021
Disentangling mixtures of unknown causal interventions
UAI 2021
Disentangling Online Chats with DAG-structured LSTMs
ACL 2021
Disentangling syntax and semantics in the brain with deep networks
ICML 2021
DISK-CSV: Distilling Interpretable Semantic Knowledge with a Class Semantic Vector
EACL 2021
Disrupting Deep Uncertainty Estimation Without Harming Accuracy
NeurIPS 2021
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
ACL 2021
DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols
OSDI 2021
Distance-Aware Quantization
ICCV 2021
Distance Polymatrix Coordination Games
IJCAI 2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
EMNLP 2021
Distillation Multiple Choice Learning for Multimodal Action Recognition
WACV 2021