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)
Unsupervised Behavior Extraction via Random Intent Priors
NeurIPS 2023
Unsupervised Continual Semantic Adaptation Through Neural Rendering
CVPR 2023
Unsupervised Explanation Generation via Correct Instantiations
AAAI 2023
Unsupervised Grammatical Error Correction Rivaling Supervised Methods
EMNLP 2023
Unsupervised Keyphrase Extraction via Interpretable Neural Networks
EACL 2023
Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive
AAAI 2023
Unsupervised Lexical Simplification with Context Augmentation
EMNLP 2023
Unsupervised Melody-to-Lyrics Generation
ACL 2023
Unsupervised Model Selection for Time Series Anomaly Detection
ICLR 2023
Unsupervised Open-Vocabulary Object Localization in Videos
ICCV 2023
Unsupervised Prompt Tuning for Text-Driven Object Detection
ICCV 2023
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
NeurIPS 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
CVPR 2023
Unsupervised Selective Rationalization with Noise Injection
ACL 2023
Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
ICCV 2023
Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments
ICML 2023
Unsupervised Subtitle Segmentation with Masked Language Models
ACL 2023
Unsupervised Summarization Re-ranking
ACL 2023
Unsupervised Task Graph Generation from Instructional Video Transcripts
ACL 2023
Unveiling Concepts Learned by a World-Class Chess-Playing Agent
IJCAI 2023
Unveiling Safety Vulnerabilities of Large Language Models
EMNLP 2023
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
AAAI 2023
Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization
EMNLP 2023
Unveiling the Implicit Toxicity in Large Language Models
EMNLP 2023
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
ICML 2023