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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'25
Papers (including subtopics)
Diffusion-based Curriculum Reinforcement Learning
NeurIPS 2024
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
NeurIPS 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving
CVPR 2024
Diffusion-FOF: Single-View Clothed Human Reconstruction via Diffusion-Based Fourier Occupancy Field
CVPR 2024
Diffusion Guided Language Modeling
ACL 2024
Diffusion Language Models Are Versatile Protein Learners
ICML 2024
Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines
ACL 2024
Diffusion Mask-Driven Visual-language Tracking
IJCAI 2024
Diffusion Model Alignment Using Direct Preference Optimization
CVPR 2024
Diffusion Model for Dense Matching
ICLR 2024
Diffusion Models are Certifiably Robust Classifiers
NeurIPS 2024
Diffusion Models Meet Image Counter-Forensics
WACV 2024
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
NeurIPS 2024
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
NeurIPS 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
NeurIPS 2024
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
NeurIPS 2024
DiffusPoll: Conditional Text Diffusion Model for Poll Generation
ACL 2024
DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction
IJCAI 2024
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
NeurIPS 2024
Digital Life Project: Autonomous 3D Characters with Social Intelligence
CVPR 2024
Digital Socrates: Evaluating LLMs through Explanation Critiques
ACL 2024
DiJiang: Efficient Large Language Models through Compact Kernelization
ICML 2024
DILAB at #SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data
ACL 2024
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
ICLR 2024
DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer
COLING 2024