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
'5
'10
'15
'20
'25
Papers (including subtopics)
DEMO: A Statistical Perspective for Efficient Image-Text Matching
NAACL 2024
DemoCaricature: Democratising Caricature Generation with a Rough Sketch
CVPR 2024
Democratizing Fine-grained Visual Recognition with Large Language Models
ICLR 2024
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
EMNLP 2024
Demonstrating Adaptive Mobile Manipulation in Retail Environments
RSS 2024
Demonstrating Agile Flight from Pixels without State Estimation
RSS 2024
Demonstrating CropFollow++: Robust Under-Canopy Navigation with Keypoints
RSS 2024
Demonstrating Event-Triggered Investigation and Sample Collection for Human Scientists using Field Robots and Large Foundation Models
RSS 2024
Demonstrating HOUND: A Low-cost Research Platform for High-speed Off-road Underactuated Nonholonomic Driving
RSS 2024
Demonstrating Language-Grounded Motion Controller
RSS 2024
Demonstrating OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics
RSS 2024
Demonstration Selection Strategies for Numerical Time Series Data-to-Text
EMNLP 2024
Demystifying Algorithmic Fairness in an Uncertain World
AAAI 2024
Demystifying CLIP Data
ICLR 2024
Demystifying Embedding Spaces using Large Language Models
ICLR 2024
Demystifying Instruction Mixing for Fine-tuning Large Language Models
ACL 2024
Demystifying Verbatim Memorization in Large Language Models
EMNLP 2024
DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
ICLR 2024
Denoising Attention for Query-aware User Modeling
NAACL 2024
Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
NeurIPS 2024
Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer
EMNLP 2024
Dense Connector for MLLMs
NeurIPS 2024
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
NeurIPS 2024
DenseKoopman: A Plug-and-Play Framework for Dense Pedestrian Trajectory Prediction
IJCAI 2024
Dense Passage Retrieval: Is it Retrieving?
EMNLP 2024