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)
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
NeurIPS 2023
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility
AAAI 2023
Contrastive Token-Wise Meta-Learning for Unseen Performer Visual Temporal-Aligned Translation
ACL 2023
Controllability-Aware Unsupervised Skill Discovery
ICML 2023
Controllable Chest X-Ray Report Generation from Longitudinal Representations
EMNLP 2023
Controllable Conversation Generation with Conversation Structures via Diffusion Models
ACL 2023
Controllable Guide-Space for Generalizable Face Forgery Detection
ICCV 2023
Controllable Mixed-Initiative Dialogue Generation through Prompting
ACL 2023
Controllable Neural Symbolic Regression
ICML 2023
Controllable Text Generation via Probability Density Estimation in the Latent Space
ACL 2023
Controllable Visual-Tactile Synthesis
ICCV 2023
Controlled Text Generation with Hidden Representation Transformations
ACL 2023
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers
ACL 2023
Controlling Multi-Class Human Vocalization Generation via a Simple Segment-based Labeling Scheme
Interspeech 2023
Controlling Pre-trained Language Models for Grade-Specific Text Simplification
EMNLP 2023
Controlling Styles in Neural Machine Translation with Activation Prompt
ACL 2023
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
ACL 2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification
ICML 2023
Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation
WACV 2023
ControlVC: Zero-Shot Voice Conversion with Time-Varying Controls on Pitch and Speed
Interspeech 2023
Convergence and Diversity in the Control Hierarchy
ACL 2023
Convergence in Multi-Issue Iterative Voting under Uncertainty
IJCAI 2023
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
AAAI 2023
Conversational Semantic Parsing using Dynamic Context Graphs
EMNLP 2023
Conversational Tree Search: A New Hybrid Dialog Task
EACL 2023