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)
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity
IJCAI 2021
Democratizing Constraint Satisfaction Problems through Machine Learning
AAAI 2021
Demystifying and Generalizing BinaryConnect
NeurIPS 2021
Dense Hierarchical Retrieval for Open-domain Question Answering
EMNLP 2021
Densely connected normalizing flows
NeurIPS 2021
Densely Guided Knowledge Distillation Using Multiple Teacher Assistants
ICCV 2021
DenseTNT: End-to-End Trajectory Prediction From Dense Goal Sets
ICCV 2021
Density Constrained Reinforcement Learning
ICML 2021
Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks
ACL 2021
Dependency in DAG models with hidden variables
UAI 2021
Dependency Parsing Evaluation for Low-resource Spontaneous Speech
EACL 2021
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing
ACL 2021
Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty
AAAI 2021
Dependent Multi-Task Learning with Causal Intervention for Image Captioning
IJCAI 2021
DeRF: Decomposed Radiance Fields
CVPR 2021
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
NeurIPS 2021
Designing Counterfactual Generators using Deep Model Inversion
NeurIPS 2021
Designing Transportable Experiments Under S-admissability
AISTATS 2021
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding
EMNLP 2021
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
AAAI 2021
Detecting Alzheimer’s Disease Using Interactional and Acoustic Features from Spontaneous Speech
Interspeech 2021
Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing
EMNLP 2021
Detecting Contact-Induced Semantic Shifts: What Can Embedding-Based Methods Do in Practice?
EMNLP 2021
Detecting Deepfake Videos with Temporal Dropout 3DCNN
IJCAI 2021
Detecting Health Advice in Medical Research Literature
EMNLP 2021