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)
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
JMLR 2021
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
CVPR 2021
Directed Acyclic Graph Network for Conversational Emotion Recognition
ACL 2021
Directed Probabilistic Watershed
NeurIPS 2021
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations
NeurIPS 2021
Direct Exploitation of Attention Weights for Translation Quality Estimation
EMNLP 2021
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
NeurIPS 2021
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining
IJCAI 2021
Direction is what you need: Improving Word Embedding Compression in Large Language Models
ACL 2021
Direct Multimodal Few-Shot Learning of Speech and Images
Interspeech 2021
DirectProbe: Studying Representations without Classifiers
NAACL 2021
Dirichlet Pruning for Convolutional Neural Networks
AISTATS 2021
Disambiguatory Signals are Stronger in Word-initial Positions
EACL 2021
DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer
EMNLP 2021
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks
CVPR 2021
Discontinuous Named Entity Recognition as Maximal Clique Discovery
ACL 2021
discopy: A Neural System for Shallow Discourse Parsing
EMNLP 2021
Discourse-Driven Integrated Dialogue Development Environment for Open-Domain Dialogue Systems
EMNLP 2021
Discovering and Achieving Goals via World Models
NeurIPS 2021
Discovering a set of policies for the worst case reward
ICLR 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
ICLR 2021
Discovering Fully Oriented Causal Networks
AAAI 2021
Discovering Hidden Physics Behind Transport Dynamics
CVPR 2021
Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes
CVPR 2021
Discovering New Intents with Deep Aligned Clustering
AAAI 2021